Foamly

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Product Details

Name

Foamly

Tagline

Craft Your Legacy

Green Brewer

Name: Green Brewer
Description: This persona embodies a commitment to sustainability and eco-friendly brewing practices. They seek to minimize the environmental impact of their operations while delivering high-quality craft beer. Their engagement with Foamly focuses on tracking resource usage and managing waste effectively, making environmentally-conscious decisions that resonate with their community and customers.
Demographics: Age: 30-45, Gender: Male/Female, Education: Bachelor's degree in Environmental Science or related field, Occupation: Brewmaster or Brewery Owner, Income Level: $70,000 - $120,000 annually, Location: Urban areas with a craft beer culture.
Background: Growing up in a family that valued nature, the Green Brewer developed a passion for sustainability early on. They pursued a degree in Environmental Science and later shifted to brewing, striving to blend their love for craft beer with eco-friendly practices. They regularly attend workshops on sustainable brewing and are active in local environmental initiatives, seeking to educate others about responsible brewing.
Psychographics: The Green Brewer values sustainability and community engagement. They believe in creating products that not only taste great but are also produced responsibly. Their lifestyle includes frequent outdoor activities, and they enjoy participating in local farmer's markets. Their motivations stem from a desire to leave a positive impact on the world and produce beers that reflect their values.
Needs: The Green Brewer needs tools that provide insights into resource consumption, waste management, and sustainability reporting. They are looking for ways to integrate their eco-friendly values into every aspect of their brewing process while maintaining quality and efficiency.
Pain: They face challenges in tracking resource use efficiently and reporting on sustainability metrics. Limited access to suppliers who share their environmental commitments can also hinder their operations.
Channels: They primarily use digital channels such as social media, blogs, and forums focused on sustainable practices, as well as email newsletters from brewing associations. They also value in-person networking and community events.
Usage: The Green Brewer uses Foamly daily to manage inventory and production schedules, focusing on reducing waste. They often consult analytics to adjust brewing practices proactively and ensure sustainability targets are met.
Decision: Their decision-making is heavily influenced by sustainability reports, peer recommendations, and trends within the eco-friendly brewing community. They prioritize products that align with their environmental values and support local production.

Tech-Savvy Brewer

Name: Tech-Savvy Brewer
Description: This persona is a forward-thinking brewery owner who embraces technology to streamline operations and enhance product quality. They engage frequently with Foamly's automation and analytics features to optimize their brewing processes and drive innovation.
Demographics: Age: 25-40, Gender: Male/Female, Education: Bachelor’s degree in Brewing Science or Business, Occupation: Brewery Owner/Operations Manager, Income Level: $80,000 - $150,000 annually, Location: Tech-friendly urban centers.
Background: The Tech-Savvy Brewer eagerly pursued brewing science at university and enhanced their education with courses in technology and data analytics. They have previously worked in industries related to tech before diving into brewing, and they're always on the lookout for innovative solutions that incorporate the latest brewing technology and software for efficiency.
Psychographics: They are curious, experimental, and motivated by the desire to create exceptional craft beers through technological advancements. They are early adopters of new tools and are keen on using data to drive their decisions and improve overall productivity.
Needs: The Tech-Savvy Brewer needs access to cutting-edge tools that streamline brewing processes, improve communication among staff, and provide real-time analytics for decision-making. They also seek integration with other tech solutions for enhanced functionality.
Pain: They struggle with integrating legacy systems with new technology or finding compatible software solutions that meet their specific needs. They often experience frustrations with software that is either too complex or does not offer the required level of automation.
Channels: They predominantly rely on online platforms such as tech forums, brewing webinars, and social media for insights. They also use industry newsletters and podcasts related to technology and brewing advancements.
Usage: The Tech-Savvy Brewer engages with Foamly multiple times a day for various purposes, such as monitoring production metrics, scheduling maintenance, and exploring analytics to predict trends and assess product performance.
Decision: Their decision-making process is influenced by research, peer recommendations from tech-savvy networks, and market analysis reports. They are likely to try new solutions that offer comprehensive tech support and training.

Local Brew Advocate

Name: Local Brew Advocate
Description: This persona represents a strong connection with their community and local culture, dedicated to making crafted beer that reflects local flavors. They use Foamly to connect with regional suppliers and keep track of local sourcing for ingredients, ensuring their brewery stimulates the local economy.
Demographics: Age: 35-50, Gender: Male/Female, Education: Bachelor’s degree in Business or Culinary Arts, Occupation: Brewmaster/Community Manager, Income Level: $70,000 - $110,000 annually, Location: Small towns or neighborhoods with strong community ties.
Background: Raised in a close-knit community, the Local Brew Advocate gained an appreciation for local products. They have worked in various roles in restaurants and breweries, nurturing a passion for combining local flavors with brewing. They value community events and often participate in local fairs and festivals to promote their brand.
Psychographics: They prioritize community engagement, valuing local relationships and sustainability in sourcing ingredients. The Local Brew Advocate believes that beer should tell a story and connect people, and they actively contribute to the local culture by collaborating with local businesses.
Needs: This persona needs a user-friendly platform that helps them manage local suppliers and community events. They want tools to help promote their products and highlight local collaborations to their customers.
Pain: They face difficulties in sourcing quality ingredients locally, especially in competitive markets. They often struggle with balancing production demands while engaging meaningfully with their community and marketplace.
Channels: They primarily utilize local community boards, social media platforms like Facebook and Instagram for community engagement, and local craft beer events for networking and awareness, as well as newsletters for local brewery scenes.
Usage: The Local Brew Advocate uses Foamly weekly, especially during busy brewing periods or when launching new products. They often utilize the platform to monitor supplier relationships and track local ingredient purchases.
Decision: Their decision-making is greatly influenced by community feedback, partnerships with local businesses, and customer preferences. They prioritize products that enhance their community efforts and support local initiatives.

Product Ideas

BrewDash: BrewDash is an innovative mobile app that provides real-time alerts and notifications for inventory levels, production milestones, and quality control checks. Designed specifically for craft brewers, this tool helps users stay informed and proactive about their brewing operations, ensuring timely actions and improved efficiency.
EcoTrack: EcoTrack is a sustainability tracking feature built into Foamly, enabling breweries to monitor their carbon footprint, waste production, and resource consumption. This tool empowers users to make data-driven decisions that enhance their environmental efforts and align with the growing demand for sustainable practices in the brewing industry.
RecipeOptimizer: RecipeOptimizer is a smart tool that uses historical brewing data and AI algorithms to recommend adjustments to beer recipes based on desired flavor profiles and ingredient availability. By optimizing formulations, this feature helps brewers create unique products that meet market demands while minimizing waste.
SmartLabel: SmartLabel is an integrated labeling system that incorporates QR codes on product packaging. Consumers can scan these codes to receive detailed information about the brewing process, ingredients, and sustainability practices, thus enhancing transparency and fostering consumer engagement.
BrewerySync: BrewerySync is an enhanced integration feature that allows Foamly to connect with other essential tools and platforms, like POS systems and e-commerce sites. This feature helps streamline operations, making it easier for breweries to manage sales, inventory, and customer engagement from a single interface.
Craft Community Hub: Craft Community Hub is an online platform within Foamly that connects breweries with local suppliers, enabling them to source ingredients and collaborate on promotions with nearby businesses. This feature fosters community relationships and enhances local sourcing efforts for craft brewers.
Quality Assurance Dashboard: The Quality Assurance Dashboard provides a comprehensive visual summary of all quality control metrics for each batch produced. It helps Quality Control Specialists easily identify trends, inconsistencies, and areas for improvement, ensuring high standards in product consistency.

Product Features

Alert Customization

Allow users to customize their alert preferences for inventory levels, production milestones, and quality control checks. This feature enables brewers to tailor notifications according to their specific needs and workflows, ensuring they receive the most relevant information at the right time, which can lead to faster decision-making and better operational outcomes.

Requirements

Alert Configuration Interface

User Story: As a brewer, I want to customize my alert preferences so that I can receive notifications that are relevant to my operations and avoid missing important updates that can affect production quality.
Description: Develop an intuitive user interface that allows users to set and manage their alert preferences seamlessly within Foamly. This interface will enable brewers to select from various alert types related to inventory levels, production milestones, and quality control checks. Users will have the capability to choose how they are notified (e.g., via email, SMS, or in-app notifications) as well as set thresholds for alerts, ensuring timely information without overwhelming them with unnecessary notifications. This feature will improve operational efficiency by ensuring that brewers can respond quickly to critical changes in their brewing processes.
Acceptance Criteria: User sets up a new alert for low inventory levels to ensure they receive timely notifications before supplies run out.

Given the user is in the alert configuration interface, when they select 'Low Inventory' from the alert types, set a threshold of 10 units, and choose 'Email' as the notification method, then the system should save these preferences and send an email alert when inventory falls below 10 units.

User customizes alert notifications for production milestones to streamline workflow updates throughout the brewing process.

Given the user has selected multiple production milestones (e.g., 'Fermentation Start', 'Bottling Day'), when they configure the alerts to be sent via 'In-App Notification', then the app should display notifications at each selected milestone without additional user input required.

User adjusts quality control check alerts to ensure rigorous quality assurance processes are maintained.

Given the user accesses the quality control alert settings, when they modify the frequency of quality checks to 'Daily' and select ‘SMS’ for notifications, then they should receive an SMS alert every day regarding the quality check status without failure.

User removes an existing alert to reduce unnecessary notifications from the system.

Given the user is in the alert management section, when they select an existing low inventory alert and choose the 'Delete' option, then that alert should be removed from the list and the user should receive a confirmation message.

User tests the alert customization feature to ensure it functions as intended across different notification methods.

Given the user has set alerts for both 'Production Milestone' and 'Quality Control Check', when those events occur, then the user should receive alerts via the specified methods (e.g., email for production milestone and SMS for quality check) within 5 minutes of the triggered event.

User reviews the history of received alerts to assess their effectiveness and adjust preferences if necessary.

Given the user navigates to the alert history section, when they view alerts over the past 30 days, then they should see a comprehensive list of past alerts with the corresponding timestamps and types, allowing for review and adjustment of alert settings.

Threshold Management

User Story: As a brewer, I want to set my own alert thresholds for inventory and production milestones so that I am notified only when my levels are critically low or when key production stages are reached, allowing me to prioritize my resources efficiently.
Description: Implement a system that allows users to define specific thresholds for alerts associated with inventory levels, production milestones, and quality checks. This requirement will include the functionality to set high and low thresholds for inventory alerts, milestone achievements for production phases, and parameters for quality control checks. By leveraging these thresholds, brewers will ensure they are informed only when necessary, reducing noise from excessive notifications, and enabling focused attention on critical aspects of brewing, thus enhancing production management and quality assurance.
Acceptance Criteria: User sets a high threshold for low inventory alerts for hops.

Given a user is on the threshold management page, When they input a high threshold value for hops inventory, Then the system should save this threshold value and display a confirmation message.

User configures milestone alerts for the fermentation stage.

Given a user is defining production milestones, When they set a completion milestone for fermentation, Then the system should notify the user when this milestone is reached.

User adjusts low threshold levels for quality control checks.

Given a user is on the quality control settings page, When they adjust the low threshold for pH levels of beer, Then the system should validate and save the newly set threshold without errors.

User receives alerts based on configured thresholds during production.

Given a user has set high and low inventory thresholds, When the inventory levels fluctuate beyond these thresholds, Then the system should trigger appropriate alerts immediately.

User tests notification preferences for low inventory alerts.

Given a user has set their notification preferences, When the inventory of a specified ingredient reaches the low threshold, Then the system should send a notification according to the user's preference settings.

User defines high quality thresholds for specific beer metrics.

Given a user is configuring quality thresholds, When they set a high threshold for specific gravity measurements, Then the system should verify the threshold and allow saving if the input is valid.

User deletes an existing threshold configuration.

Given a user on the threshold management page, When they select an existing threshold and choose to delete it, Then the system should remove the threshold and provide a confirmation that it has been deleted successfully.

Alert History Log

User Story: As a brewer, I want to access a history log of previous alerts so that I can analyze past notification patterns and make informed adjustments to my brewing processes and alert preferences.
Description: Create a feature that maintains a comprehensive history log of alerts triggered within the Foamly platform. This feature will not only display current alerts but also archive past notifications, providing brewers with insights into inventory trends, production progress, and quality control measures over time. Users will be able to filter and search through the history log, helping them identify patterns and make data-driven decisions to enhance their brewing processes. This log will augment strategic planning and continuous improvement initiatives.
Acceptance Criteria: As a brewer, I want to review past alerts to understand recurring inventory issues over the last month.

Given that the user accesses the Alert History Log, when they filter by date to the last month, then they should see a list of all alerts triggered in that time frame, including timestamps and alert types.

As a quality control manager, I want to identify patterns in production alerts to improve processes.

Given that the user is on the Alert History Log page, when they use the search function with specific keywords related to quality control checks, then they should obtain results showing all relevant alerts that match those keywords, along with relevant details of each alert.

As a brewery owner, I want to access a comprehensive summary of alert triggers to evaluate operational efficiency over time.

Given that the user opens the Alert History Log, when they request a summary report, then they should receive a compile report detailing the total number of alerts by category (inventory, production, quality) for a selected time period.

As a new user, I want to see a demo of the Alert History Log to understand its functionality before using it.

Given that the user is accessing the demo version of Foamly, when they select the Alert History Log feature, then they should view a guided walkthrough highlighting the key functionalities including filtering and searching options.

As a data analyst, I need to download the alert history for external reporting.

Given that the user is viewing the Alert History Log, when they select the download option, then they should receive a CSV file containing all the displayed alerts with their respective details.

Real-Time Alert Notifications

User Story: As a brewer, I want to receive real-time notifications for my customized alerts so that I can respond promptly to any significant changes in my brewing environment and maintain high-quality standards.
Description: Integrate real-time notification capabilities that provide instant alerts to users as soon as their specified conditions are met. This requirement aims to leverage push notifications within the Foamly platform, allowing brewers to receive immediate updates on critical information whether they are using the app actively or not. The ability for real-time alerts ensures that brewers can take swift action to address issues related to inventory shortages or quality control failures, ultimately enhancing operational responsiveness and product quality.
Acceptance Criteria: User sets up custom alerts for low inventory levels.

Given the user is logged into Foamly, when they navigate to the Alert Customization settings and set a threshold for low inventory, then they should receive a real-time notification as soon as their inventory level falls below that threshold.

User configures alerts for production milestones.

Given the user has defined specific production milestones in their project timeline, when those milestones are reached during production, then the user should receive instant push notifications to their mobile device or app screen.

User opts in for quality control alerts based on product specifications.

Given the user has specified product quality parameters, when a quality check falls outside the defined parameters, then the user should receive an immediate alert detailing the issue and corrective actions recommended.

User customizes alert frequency and channels.

Given the user is customizing their alert settings, when they select the frequency (immediate, daily summary, weekly summary) and channel (email, SMS, in-app), then the system should save these preferences and deliver notifications accordingly.

User tests real-time alert functionality.

Given the user is in a test environment, when they trigger a condition that meets any of their alert settings, then the user should receive the corresponding alert in real-time without delays.

User reviews the alert history for past notifications.

Given the user has received various alerts, when they navigate to the alert history section of Foamly, then they should see a comprehensive list of all alerts received, including timestamps and details of each alert.

User accesses alerts while not actively using the app.

Given the user has set up their alert preferences and is not actively using the Foamly app, when a real-time alert is triggered, then the user should receive a push notification on their mobile device without needing to be logged in to the app.

Integration with External Systems

User Story: As a brewer, I want to integrate Foamly’s alert system with my existing inventory and production tools so that I can have a unified management approach and ensure that all crucial data is aligned, maximizing efficiency.
Description: Develop APIs and integration capabilities with other systems like inventory management software, production scheduling tools, and quality control databases. This feature will allow Foamly users to synchronize alert settings and notifications with existing tools. As a result, brewers can create a cohesive workflow, leveraging their multiple systems to ensure that all operations are informed by the same alert criteria, leading to optimized resource management and enhanced operational synergies.
Acceptance Criteria: User wants to set custom alerts for low inventory levels when they reach a specified threshold within the Foamly system, and receive notifications in real-time to ensure timely restocking decisions.

Given a user has set a specific inventory threshold, When the inventory level falls below this threshold, Then the user receives a real-time notification through the selected communication channel (email, SMS, in-app notification).

Brewery staff needs to customize alerts based on critical production milestones such as fermentation completion or bottling schedules, allowing for proactive workflow management.

Given a user has defined specific milestones for production, When a milestone is reached, Then the user receives a notification detailing the milestone completion and any necessary follow-up tasks.

A brewer needs to synchronize Foamly's quality control alert preferences with their existing quality assessment tools to ensure consistent quality checks and minimize oversight.

Given a user connects their quality control tool to Foamly, When a quality control check is scheduled and passes the predefined criteria, Then the system automatically updates the user’s alerts based on the quality control tool’s settings and notifies the correct personnel accordingly.

Users want to easily modify their alert preferences within Foamly without complex navigation, ensuring they can quickly adapt to changing needs in their brewing operation.

Given a user accesses the alert customization section, When they attempt to adjust their alert settings, Then the changes should be saved successfully, and the user should receive a confirmation message that the alerts have been updated.

Brewers using Foamly wish to see an overview of all active alerts across different systems to monitor their brewing operations efficiently.

Given a user accesses the alerts dashboard, When they view active alerts, Then all alerts customized across different integrated systems are displayed clearly, categorized by type, and include timestamps indicating when the alerts were triggered.

Milestone Tracker

This feature provides a visual timeline of production milestones, allowing users to see progress at a glance. It helps brewers stay on schedule by clearly marking key stages in the brewing process, enhancing accountability and enabling proactive management of any potential delays that might arise.

Requirements

Milestone Visualization

User Story: As a brewer, I want to see a visual timeline of my production milestones so that I can quickly assess our progress and manage any delays proactively.
Description: The Milestone Tracker must provide a visual timeline representation of production milestones. This functionality is essential for brewers to monitor various stages of the brewing process, such as fermentation, conditioning, and packaging. It should allow users to easily distinguish between completed, in-progress, and upcoming milestones using color-coded indicators. This visual clarity enhances operational transparency, making it easier for teams to gauge overall production flow and identify points of delay or potential bottlenecks.
Acceptance Criteria: User navigates to the Milestone Tracker dashboard to view production milestones during a brewing cycle.

Given the user is on the Milestone Tracker dashboard, when the production milestones are displayed, then each milestone should be represented with a color-coded indicator based on its status: green for completed, yellow for in progress, and red for upcoming.

A brewer wants to edit a milestone within the Milestone Tracker to update its status after a delay in fermentation.

Given the user selects an in-progress milestone, when the user edits the milestone's status and saves it, then the update should reflect in the timeline with the correct color-coded indicator.

The brewing team needs to generate a report showing the status of all milestones for their production cycle.

Given the user requests a report from the Milestone Tracker, when the report is generated, then it should include all milestones listed with their respective statuses and visual timelines for at least the last three brewing cycles.

A new user is onboarding and needs to understand how to interpret the Milestone Tracker visualizations.

Given a new user accesses the Milestone Tracker for the first time, when they hover over a color-coded milestone, then a tooltip should display a description of the milestone and its current status.

The brewing manager wants to compare milestone completion times across different brewing cycles.

Given the manager views historical data in the Milestone Tracker, when selecting different brewing cycles, then the platform should visually highlight and compare the completion times for each milestone across the selected cycles.

An operational hiccup occurs, and a brewer needs to know what milestones might be affected immediately.

Given the user is on the Milestone Tracker dashboard, when a production delay is input, then all upcoming milestones that may be impacted should automatically highlight in red to indicate potential issues.

Milestone Notification System

User Story: As a brewer, I want to receive notifications about my production milestones so that I can take timely action if any delays occur.
Description: The Milestone Tracker shall include a notification system that alerts users when they reach critical production milestones or if there are impending delays. Notifications will be configurable based on user preferences and timelines, allowing users to receive updates via email, SMS, or in-app messaging. This requirement is crucial for keeping the brewing team informed and accountable, ensuring timely actions can be taken to address any issues that may disrupt the brewing schedule.
Acceptance Criteria: User receives a notification when a production milestone is reached according to their specified preferences.

Given a user has configured their notification preferences for milestone alerts, when a production milestone is reached, then the user should receive a notification via their selected method (email, SMS, or in-app).

User can customize notification settings for different milestones based on urgency.

Given a user is in the notification settings interface, when they select a milestone type, then they must be able to configure the urgency level and notification method for that milestone.

Users receive notifications in real-time for impending delays to production milestones.

Given a user is monitoring their production timeline, when a potential delay is detected for a milestone, then an alert should be sent to the user immediately via their chosen notification method.

User checks notification history for production milestones.

Given a user has accessed the notification history section, when they view past notifications related to production milestones, then all notifications should be logged with the respective milestone and timestamp.

Users can turn off notifications for specific milestones without affecting others.

Given a user is configuring notification settings, when they choose to disable notifications for a specific milestone, then notifications for that milestone should stop while other milestones remain unaffected.

User receives a summary of milestones achieved and pending delays at the end of the week.

Given a user has been active in the Milestone Tracker, when the end of the week arrives, then they should receive a summary notification outlining achieved milestones and any pending delays.

Milestone History Log

User Story: As a brewer, I want to view the history of my production milestones so that I can identify trends and improve future brewing processes.
Description: The Milestone Tracker should enable a comprehensive history log feature that records all past milestones and their statuses. Users must have access to historical data that provides insights into previous production cycles, helping to analyze trends in production efficiency and potential areas for improvement. This feature enhances learning by allowing brewers to reflect on past processes and make data-driven adjustments in future brews.
Acceptance Criteria: Viewing Historical Milestones

Given a user is logged into Foamly, when they access the Milestone Tracker, then they should see a comprehensive history log that includes all past milestones and their statuses for at least the last two production cycles.

Searching Milestone History

Given a user is on the Milestone Tracker page, when they utilize the search functionality to filter milestones by date or status, then the system should only display relevant results that match the search criteria.

Exporting Milestone Log

Given a user has accessed the Milestone History Log, when they select the 'Export' option, then the system should successfully generate and download a CSV file containing all milestone data displayed on the page.

Analyzing Production Trends

Given a user views the Milestone History Log, when they analyze the data, then they should be able to identify trends in production efficiency based on a visual representation of milestone completion times over previous cycles.

Accessing Milestone Details

Given a user is viewing the Milestone History Log, when they click on a specific milestone, then the system should display detailed information about that milestone, including its status, date recorded, and any notes associated with it.

User Permissions for History Access

Given a user is logged into Foamly with standard permissions, when they attempt to access the Milestone History Log, then they should only be able to view data relevant to their production cycles and not those of other users.

Custom Milestone Definition

User Story: As a brewer, I want to customize my production milestones so that I can accurately reflect my unique brewing process and protocols.
Description: The Milestone Tracker must allow users to define and customize their own production milestones according to their specific brewing processes. This flexibility is essential for tailoring the software to meet the unique needs of different breweries, such as adding milestones for specific quality checks, ingredient additions, or process adjustments. By allowing customization, Foamly enhances user satisfaction and ensures the system supports diverse brewing methodologies.
Acceptance Criteria: Milestone Customization for Quality Checks

Given a brewer accesses the Milestone Tracker, when they add a new custom milestone for a quality check, then the milestone should be saved successfully and displayed in the timeline with the correct attributes (name, date, and responsible person).

Custom Milestone Visibility Across Platforms

Given a user defines a custom milestone, when they switch between devices (tablet, desktop, mobile), then the custom milestone should remain visible and accessible across all platforms without data loss.

Editing Existing Custom Milestones

Given a user selects an existing custom milestone from the Milestone Tracker, when they edit the details (name, date, or description) and save the changes, then the updated milestone should reflect the changes accurately in the timeline immediately.

Removing Custom Milestones

Given a user views the list of custom milestones, when they delete a milestone from the Milestone Tracker, then the milestone should be removed from the timeline and the user should receive a confirmation message about the successful deletion.

Setting Milestone Notifications

Given a user creates a custom milestone, when they opt to set a notification for that milestone, then the system should send a notification (email or app alert) to the user 24 hours before the milestone is due.

Prioritization of Custom Milestones

Given a user has multiple custom milestones configured, when they assign priorities to each milestone, then the milestones should be reordered in the timeline based on their priority status (high, medium, low).

User Role Permission for Milestone Management

Given a user with admin privileges, when they define or edit custom milestones, then the system should allow these actions, while a user with standard privileges should be restricted from making changes to existing milestones.

Milestone Analytics Dashboard

User Story: As a brewer, I want to see an analytics dashboard for my production milestones so that I can identify areas for efficiency improvement and optimize my brewing process.
Description: The Milestone Tracker shall feature an analytics dashboard that aggregates milestone data to provide insights into production timelines, efficiencies, and outcomes. This dashboard should showcase key performance indicators (KPIs) related to milestone adherence, average time spent on each stage, and overall production efficiency. This analytical capability is crucial for brewers to continually improve their operations based on data-driven insights.
Acceptance Criteria: Milestone Analytics Dashboard displays the overall production timeline for a selected brewing batch.

Given a user selects a brewing batch, when they access the Milestone Analytics Dashboard, then the dashboard should show a clear graphical representation of the entire production timeline with all milestones indicated.

The dashboard aggregates milestone adherence data for analysis.

Given the dashboard is opened, when the user views the key performance indicators, then it should display milestone adherence percentages based on actual times against scheduled times for each milestone.

Average time spent on each brewing stage is effectively calculated and displayed.

Given data from previous productions, when the user accesses the Milestone Analytics Dashboard, then the average time spent on each brewing stage should be displayed with a clear breakdown per milestone.

Overall production efficiency is calculated and visualized on the dashboard.

Given multiple batches of brewing data, when the user looks at the overall production efficiency indicator, then it should show a percentage that reflects the efficiency calculated from input time versus output quality for the last 5 batches.

The dashboard provides user-friendly visualizations of all analytics data.

Given the dashboard is displayed, when the user looks at the various analytics visualizations, then all graphs and data representations should be easy to interpret with tooltips providing additional details on hover.

The user can filter the milestone data by date range and production types.

Given the initial view of the Milestone Analytics Dashboard, when the user selects a specific date range or production type, then the displayed data should refresh to reflect only the milestones within the selected filters.

Users can export the analytics dashboard data for reporting purposes.

Given that the dashboard is fully populated with data, when the user clicks on the export button, then they should be able to download the data in CSV format containing all visible KPIs and milestones information.

Team Accountability Role Definitions

User Story: As a brewer, I want to assign roles to my team members for each production milestone so that everyone knows their responsibilities and can collaborate effectively on our brewing processes.
Description: The Milestone Tracker must incorporate role definitions that ensure accountability among team members processing brewing milestones. This feature should allow users to assign specific roles and responsibilities to team members for each milestone, ensuring clear ownership of tasks. Additionally, it should facilitate collaboration by allowing members to leave comments or updates related to their assigned milestones, promoting teamwork and responsibility throughout the brewing process.
Acceptance Criteria: Assigning Roles for Milestones in the Milestone Tracker

Given a brewing milestone, when a user accesses the Milestone Tracker, then they can assign specific roles to team members for that milestone, ensuring clear task ownership.

Commenting on Assigned Milestones

Given that a team member is assigned to a brewing milestone, when they open the milestone details, then they can add comments or updates that are visible to all team members associated with that milestone.

Viewing Assigned Roles and Responsibilities

Given the Milestone Tracker, when a user views a specific milestone, then they can see a list of assigned team members along with their defined roles and responsibilities for that milestone.

Tracking Accountability for Delays

Given a milestone in the Milestone Tracker, when a due date is approaching, then the system sends a notification to all assigned team members to prompt them to update their progress and any potential delays.

Role Editing and Updates

Given a milestone with defined roles, when a user needs to change a role assignment, then they can easily edit the assigned member and re-assign responsibilities without losing any previous comments or updates.

Filtering Milestones by Team Member

Given the Milestone Tracker, when a user selects a team member from a dropdown, then they can filter milestones to see only those assigned to that specific member, facilitating easier accountability monitoring.

Inventory Insights

Offer detailed analytics on inventory usage, including historical data and forecasts. By providing insights into consumption patterns and trends, this feature helps brewers optimize stock levels, minimize waste, and make informed purchasing decisions, ultimately leading to cost savings and better resource management.

Requirements

Real-time Inventory Tracking

User Story: As a brewer, I want to track my inventory levels in real-time so that I can quickly respond to stock changes and avoid running out of essential ingredients during production.
Description: This requirement entails the development of a real-time tracking system for inventory levels that allows brewers to monitor stock quantities as they change due to production and sales activities. By integrating this tool with the existing inventory management module, users can access instant updates on current stock levels and receive alerts when inventory reaches a specified low threshold. This interaction helps minimize stock shortages and enhances decision-making regarding reordering processes, ultimately leading to increased operational efficiency and reduced costs associated with overstocking or shortages.
Acceptance Criteria: Real-time updates for inventory levels during production shifts.

Given that a user is monitoring inventory levels during a production shift, when inventory is updated due to production, then the system should reflect the new stock levels within 2 minutes of the update.

Alert notifications for low stock levels.

Given that a user has set a low stock threshold for a specific item, when the inventory level falls below that threshold, then the system should send an alert notification to the user immediately via the app and email.

Integration with sales to track inventory after sales transactions.

Given that a sale has been processed, when inventory levels are adjusted automatically, then the system should deduct the sold quantities accurately and update the stock levels in real-time.

Display of historical inventory usage trends.

Given that a user accesses the inventory insights dashboard, when they request historical data for a specific item, then the system should display usage data for the last 30 days, showing daily consumption rates in a chart format.

User access control for inventory management features.

Given that a user is assigned a role within the system, when they attempt to access inventory tracking features, then the system should allow or restrict access based on their role permissions configured in the user management settings.

User interface responsiveness for real-time data updates.

Given that a user is viewing the inventory levels on a mobile device, when the inventory data changes, then the mobile interface should update the displayed quantities without needing a manual refresh.

Consumption Analytics Dashboard

User Story: As a brewer, I want to visualize my inventory usage over time so that I can identify trends and make informed purchasing decisions based on consumption patterns.
Description: The Consumption Analytics Dashboard will provide brewers with a visual representation of inventory usage over time, highlighting patterns and peaks in ingredient consumption. This requirement includes customizable reports featuring graphs and trends that help brewers easily identify which products are being used most frequently and when. Integration with historical data will allow for better forecasting and planning of ingredient purchases, significantly reducing waste and ensuring efficient resource allocation. The goal is to empower brewers with insights that lead to smarter purchasing decisions.
Acceptance Criteria: Brewery manager accesses the Consumption Analytics Dashboard to review ingredient usage trends over the past month in preparation for the upcoming production schedule.

Given the brewery manager has logged into the Foamly platform, when they navigate to the Consumption Analytics Dashboard, then they should see visual graphs representing ingredient usage over the past month, including peak usage times and a summary of most used ingredients.

The brewing team wants to generate a report to analyze historical ingredient consumption and make informed purchasing decisions for the next quarter.

Given that the brewing team selects the report generation feature from the Consumption Analytics Dashboard, when they specify the date range and ingredients, then the system should generate a customizable report that includes historical usage data, trends, and forecasts for the selected ingredients.

A brewer notices a significant spike in hops usage and wants to understand the cause of the trend over the last three months.

Given the brewer is viewing the Consumption Analytics Dashboard, when they filter the data for hops on the dashboard's graph, then the dashboard should highlight any associated production batches and correlate the spikes with specific brewing activities or changes in recipes.

A purchasing manager is preparing for an upcoming purchasing cycle and needs to forecast ingredient needs based on historical trends.

Given the purchasing manager has accessed the Consumption Analytics Dashboard, when they select the forecast analysis tool for a specified ingredient, then the system should provide a forecast of necessary quantities based on historical data and identified trends.

A brewery owner regularly reviews the efficiency of resource management and aims to minimize waste through improved inventory insights.

Given the brewery owner logs into Foamly, when they view the summary statistics on the Consumption Analytics Dashboard, then they should see metrics related to waste percentages, optimal stock levels, and suggested reorder quantities for key ingredients.

A brewer utilizes the Consumption Analytics Dashboard to evaluate the effectiveness of a new brewing recipe implemented over the past month.

Given that the brewer wants to assess the new recipe's impact, when they access the dashboard, then they should be able to compare current ingredient usage against historical usage prior to the recipe change, with clear visual representations of differences and trends.

Forecasting Model

User Story: As a brewer, I want to forecast my future inventory needs based on historical data so that I can ensure I have the right amount of ingredients available without over-purchasing.
Description: This requirement focuses on implementing a predictive analytics model that utilizes historical data to forecast future inventory needs. By analyzing trends from previous sales and production cycles, the forecasting model will help brewers anticipate their stock requirements more accurately. Integration with the operations scheduling tool will ensure that forecasts are directly linked to production plans, enabling proactive inventory management. This feature aims to minimize waste, optimize procurement processes, and maintain consistent inventory levels that align with production demands.
Acceptance Criteria: As a brewmaster, I want to generate a historical inventory report for the last 12 months, so I can identify usage trends and adjust our purchasing strategy accordingly.

Given I have access to the Inventory Insights feature, when I request a historical inventory report for the last 12 months, then I should receive a detailed report showing monthly usage trends, total consumption, and stock on hand for each inventory item.

As a brewer, I need to receive forecasted inventory needs for the next quarter based on historical sales data, so that I can ensure we have the right amount of raw materials on hand.

Given that historical sales data is available, when I generate a forecast for the next quarter, then the forecast should accurately predict inventory needs by item, with at least 95% accuracy based on past usage patterns.

As a purchasing manager, I want to be alerted about potential inventory shortages based on the forecasting model, so I can proactively reorder materials before running out.

Given that the forecasting model has generated a forecast, when inventory levels fall below the forecasted minimum threshold, then I should receive an automatic alert notification to reorder the necessary items.

As a brewer, I want to visualize the correlation between production schedules and inventory forecasts, so I can adjust our operations accordingly.

Given that I have access to the operations scheduling tool, when I view the inventory forecast alongside the production schedule, then I should see a clear visual representation that indicates optimal inventory levels needed to support production activities.

As a brewery owner, I want to review the effectiveness of the forecasting model on a quarterly basis, so I can continually improve accuracy and efficiency in our operations.

Given that the forecasting model has been in use for a quarter, when I review the quarterly performance metrics, then I should see a report detailing forecast accuracy, discrepancies between forecasted and actual inventory levels, and recommendations for improvement.

Automated Reordering System

User Story: As a brewer, I want an automated system to reorder ingredients when stock is low so that I can maintain consistent inventory levels without manually tracking supplies.
Description: An automated reordering system will streamline the purchasing process by automatically generating purchase orders when inventory levels fall below defined thresholds. This requirement involves setting up parameters for when orders should be placed, integrating supplier information, and creating a notification system for brewers to review and confirm orders before they are finalized. This automation reduces the risk of stockouts and ensures that brewers are consistently stocked with necessary ingredients without the need for constant manual monitoring, thus allowing them to focus on brewing rather than logistics.
Acceptance Criteria: Automated Reordering when Inventory Levels Drop Below Thresholds

Given the inventory levels of ingredients are monitored, When an ingredient level goes below the defined threshold, Then a purchase order is automatically generated and flagged for review.

Supplier Information Integration for Seamless Orders

Given that supplier information is properly configured, When a purchase order is generated, Then the system pulls the correct supplier information for each ingredient into the order automatically.

Notification System for Order Review Confirmation

Given an automated purchase order has been created, When a purchase order is generated, Then the brewer receives a notification to review and confirm the order within 24 hours before finalization.

Historical Data Analysis for Reorder Thresholds

Given historical inventory usage data is available, When analyzing inventory trends, Then the system should provide recommendations for optimal reorder thresholds based on consumption patterns.

User Interface for Managing Inventory Parameters

Given the Inventory Insights feature is operational, When a brewer accesses the automated reordering system, Then they should have an easy-to-use interface to set and modify reorder thresholds and parameters.

Audit Trail for Purchase Orders

Given that automated purchase orders are generated, When an order is finalized, Then the system should maintain an audit trail that logs the order details, user confirmations, and timestamps for accountability.

Reporting on Inventory Reordering Efficiency

Given that purchase orders are being generated, When a specific period is analyzed, Then the system provides a report showing the number of stockouts prevented and cost savings due to the automated reordering system.

Inventory Audit Trail

User Story: As a brewer, I want to access a log of all inventory changes so that I can ensure the accuracy and integrity of my inventory management processes.
Description: The Inventory Audit Trail requirement entails the creation of a system that tracks all changes to inventory data, providing comprehensive logs of additions, removals, and adjustments. This feature is vital for ensuring accountability and transparency in inventory management. It will include detailed reports that allow brewers to view past inventory movements and identify discrepancies. Integrating with the overall quality control framework will help improve process integrity, allowing brewers to maintain compliance with industry standards and enhance overall operational accuracy.
Acceptance Criteria: Tracking Changes for Inventory Adjustments

Given an inventory item has been adjusted, When the adjustment is saved, Then the system must log the adjustment with the timestamp, user ID, item ID, and the prior quantity in the audit trail.

Audit Report Generation

Given the inventory audit trail is generated, When the report is requested, Then the system must present a comprehensive log of all inventory changes, sortable by date, user, and item, including additions, removals, and adjustments.

User Authorization for Viewing Audit Trails

Given a user attempts to access the audit trail, When the user’s role is verified, Then the system must grant access only if the user has the appropriate permissions based on their role and responsibilities.

Identification of Discrepancies

Given the inventory data has been logged, When a discrepancy is detected between the physical count and the audit trail, Then the system must flag the discrepancy and notify the user within the dashboard.

Integration with Quality Control Processes

Given the inventory audit trail is being utilized, When any change is made to inventory data, Then the associated quality control documentation must be automatically updated to reflect the inventory change.

Historical Data Access

Given the user requests historical inventory data, When the request is made, Then the system must retrieve and display the historical audit trail data for specified date ranges without errors.

Performance Metrics for Audit Trail Retrieval

Given the inventory audit trail is accessed, When the system executes the retrieval, Then the audit trail must load and display within 5 seconds to meet performance benchmarks.

Quality Checklist

Integrate a digital checklist for quality control processes that can be accessed via BrewDash. This feature allows Quality Control Specialists to follow standardized protocols, ensure compliance, and quickly log results, promoting consistency in product quality while reducing manual errors.

Requirements

Digital Quality Checklist

User Story: As a Quality Control Specialist, I want to access a digital checklist for quality control processes so that I can ensure compliance with standardized protocols and accurately log results to maintain product quality and consistency.
Description: The Digital Quality Checklist requirement encompasses the development of a user-friendly, accessible checklist within the Foamly platform, specifically tailored for Quality Control Specialists in the brewing industry. This feature aims to streamline the quality control process by allowing users to follow standardized protocols through an intuitive interface. The checklist will facilitate real-time logging of quality assurance results, enhancing consistency in product quality and reducing the risk of manual errors. Moreover, the integration of this digital checklist with BrewDash will ensure that all quality checks are documented and easily accessible, promoting compliance and providing valuable analytics for process improvement. Ultimately, the Digital Quality Checklist is designed to improve operational efficiency, reduce waste, and elevate the overall quality of beer production.
Acceptance Criteria: Quality Control Specialist accesses the Digital Quality Checklist in BrewDash to perform routine quality checks during the brewing process.

Given the Quality Control Specialist is logged into BrewDash, when they navigate to the Digital Quality Checklist, then they can view and access all current quality control checklists relevant to the brewing process.

Quality Control Specialist fills out the Digital Quality Checklist during the brewing process and submits the results.

Given the Digital Quality Checklist is open, when the Quality Control Specialist completes the checklist and clicks 'Submit,' then all logged results are saved in the system and a confirmation message is displayed.

Quality Control Manager reviews the logged results from the Digital Quality Checklist for compliance and quality trends.

Given the Quality Control Manager has access to the quality control logs, when they search for the results from the Digital Quality Checklist, then they can filter and view the results by date, product batch, and checklist item, ensuring compliance checks are met.

Quality Control Specialist encounters an issue while using the Digital Quality Checklist and needs to flag it for review.

Given the Quality Control Specialist identifies an issue during the quality check, when they select the 'Flag Issue' option, then a prompt appears allowing them to describe the issue and submit it for review while still preserving the checklist results.

The system provides analytics dashboards that reflect the quality control data collected from the Digital Quality Checklist over time.

Given a month’s data from the Digital Quality Checklist, when the Quality Control Manager accesses the analytics dashboard, then they can see graphical representations of trends in quality assurance results, highlighting any recurring issues or anomalies.

The Digital Quality Checklist is updated to include new quality control items based on feedback from Quality Control Specialists.

Given that the Quality Control Manager receives a request to add new checklist items, when they update the checklist, then the changes are reflected in all active Digital Quality Checklists without requiring a system restart and all users are notified of the update.

Real-Time Compliance Monitoring

User Story: As a Quality Control Specialist, I want to be notified of any compliance issues in real-time so that I can quickly address them and ensure that our products meet quality standards.
Description: The Real-Time Compliance Monitoring requirement involves the creation of a system that continuously monitors and flags compliance issues in the brewing process as they occur. This system will integrate with the Digital Quality Checklist, utilizing automated alerts to notify Quality Control Specialists of any deviations from established protocols. By providing immediate feedback, this feature will allow users to take corrective action in real-time, ensuring that quality standards are consistently met. The benefit of this requirement is two-fold: it enhances product consistency by preventing quality issues before they escalate, and it strengthens regulatory compliance by providing documented evidence of adherence to quality protocols during inspections. This capability not only promotes accountability among staff but also builds trust with customers regarding product quality and safety.
Acceptance Criteria: Quality Control Specialists access the Real-Time Compliance Monitoring feature during the brewing process to check for adherence to established protocols.

Given a Quality Control Specialist is using the BrewDash application, when they access the Real-Time Compliance Monitoring feature, then they should see a dashboard displaying the current compliance status for each process step in real-time.

Quality Control Specialists receive alerts when a compliance issue is detected during brewing operations, prompting immediate investigation.

Given that a compliance deviation occurs during brewing, when the Real-Time Compliance Monitoring feature detects this deviation, then an automated alert should be sent to the Quality Control Specialist's mobile device immediately.

Quality Control Specialists log the outcomes after addressing any compliance issues flagged by the system.

Given that a Quality Control Specialist has addressed a compliance issue, when they log the results in the Digital Quality Checklist, then a timestamped record of the adjustment should be updated in the system's compliance history.

Management reviews the compliance history logs during an audit to ensure adherence to quality protocols.

Given that an audit is being conducted, when the audit team accesses the compliance history logs in the Foamly system, then they should see a complete and accurate record of all compliance issues and their resolutions for the reviewed period.

Quality Control Specialists incorporate feedback from the Real-Time Compliance Monitoring feature into their quality control training sessions.

Given the Real-Time Compliance Monitoring feature provides insights into common compliance deviations, when Quality Control Specialists review these insights, then they should be able to present at least three actionable recommendations during their training sessions.

Brewing operations are streamlined by the integration of automated alerts and prompts tied into the brewing timeline.

Given a brewing operation plan with scheduled steps, when a compliance deviation occurs, then the automated alert should include a contextual prompt indicating which step is affected and recommendations for corrective actions.

Users ensure that all compliance alerts have been acknowledged and addressed within a specific time frame to maintain operation integrity.

Given a compliance alert has been issued, when the Quality Control Specialist views the alert, then they must acknowledge it within ten minutes and provide an update on corrective actions taken, or it remains flagged until resolved.

Analytics Dashboard for Quality Trends

User Story: As a brewery manager, I want to view an analytics dashboard that displays quality control trends so that I can make informed decisions to improve our brewing processes and maintain high-quality standards.
Description: The Analytics Dashboard for Quality Trends requirement focuses on developing an analytical tool within the Foamly platform that visualizes quality control data over time. This dashboard will aggregate data from the Digital Quality Checklist and Real-Time Compliance Monitoring systems, allowing Quality Control Specialists and brewery management to identify trends, anomalies, and areas for improvement. By providing insights into recurring quality issues or successful practices, the dashboard aims to inform decision-making and enhance brewing processes. This feature will benefit users by presenting complex data in an easily digestible format, enabling proactive measures to tackle quality concerns and optimize operational efficiency. In addition, it will serve as a valuable reporting tool for management and stakeholders, demonstrating commitment to continuous quality improvement and operational excellence.
Acceptance Criteria: Quality Control Specialists review the Analytics Dashboard at the end of each brew cycle to assess quality trends and compliance based on data logged from the Digital Quality Checklist.

Given the Analytics Dashboard is accessible, when a Quality Control Specialist selects the brew cycle data for the last month, then the dashboard should display quality control metrics with clear visualizations of trends and anomalies.

Brewery management convenes a meeting to review the quarterly performance metrics sourced from the Analytics Dashboard, focusing on recurring quality issues.

Given that all quality data has been aggregated for the quarter, when the management views the report, then the dashboard must provide actionable insights highlighting areas of improvement and their frequency.

A Quality Control Specialist completes the Digital Quality Checklist for a new brew and wants to immediately visualize how this data integrates into the Analytics Dashboard to identify any trends.

Given that the Digital Quality Checklist has been submitted, when the Quality Control Specialist refreshes the Analytics Dashboard, then the dashboard should reflect the latest data and update visual information accordingly.

During a quality audit, an external auditor reviews the Analytics Dashboard to assess compliance and operational efficiency based on quality metrics.

Given that an external auditor accesses the dashboard, when they filter the data for specific quality metrics over the past year, then the dashboard should retain full functionality and present accurate, exportable data for their review.

A Quality Control Specialist needs to monitor the effectiveness of improvement measures by analyzing data before and after implementation.

Given that measures have been implemented to resolve quality issues, when the Quality Control Specialist compares quality metrics over the designated timeframes on the dashboard, then the dashboard should provide a comparative analysis indicating any improvements or deteriorations in quality metrics.

Customizable Checklist Templates

User Story: As a Quality Control Specialist, I want to create customizable checklist templates for different brewing processes so that I can ensure our quality control procedures are relevant and effective for each unique product.
Description: The Customizable Checklist Templates requirement allows Quality Control Specialists to create and modify checklist templates tailored to specific brewing processes or products. This flexibility is essential for accommodating the complexity and variability of different brewing operations and quality standards. By enabling customization, users can ensure that checklists remain relevant to their specific practices, thereby enhancing the efficacy of quality control procedures. This feature will promote greater consistency and accuracy in documenting quality checks, ultimately leading to improved product quality and compliance. Additionally, users will benefit from the ability to share these templates within the organization, fostering collaboration and standardization across different production teams.
Acceptance Criteria: Quality Control Specialist intends to create a new checklist template for a seasonal limited-edition beer that requires specific quality checks not covered in existing templates.

Given a logged-in Quality Control Specialist, when they navigate to the checklist templates section and select 'Create New Template', then they must be able to add, edit, or delete checklist items and save the template.

A Quality Control Specialist needs to modify an existing checklist template to include a new quality parameter for checking specific yeast activity during fermentation.

Given a Quality Control Specialist has selected an existing checklist template, when they modify it by adding a new section for yeast activity, then the updated template must save successfully and reflect the changes when accessed again.

The Quality Control team wishes to share a newly created checklist template with another department for cross-departmental compliance checks.

Given a Quality Control Specialist has created a checklist template, when they select the 'Share' option and choose a department, then the selected department must receive a notification and be able to access the shared checklist.

After creating a checklist template, a Quality Control Specialist wants to ensure that all necessary quality checks are validated with a final review before implementation.

Given a Quality Control Specialist has created a checklist template, when they request a review from a senior quality manager, then the template must undergo a review process, and the outcome (approved/rejected) must be logged.

Quality Control Specialists need to verify that deleted checklist templates are no longer accessible within the system, ensuring no outdated procedures are followed.

Given a checklist template has been deleted by a Quality Control Specialist, when any user searches for this template, then it must not appear in the search results.

The Quality Control team wishes to assure that a template can be cloned for minor adjustments for a different brewing process.

Given a Quality Control Specialist is viewing a checklist template, when they select the 'Clone' option, then a new template must be created with all original items from the selected template that can be modified independently.

The Quality Control team wants to ensure that all checklist templates comply with industry quality standards before being used.

Given a checklist template is created or modified, when the compliance check is initiated, then the system must validate against industry standards and provide a compliance status of pass/fail before use.

Mobile Access to Quality Checklists

User Story: As a Quality Control Specialist, I want to access quality checklists on my mobile device so that I can efficiently monitor our brewing processes and log results in real-time, without delays.
Description: The Mobile Access to Quality Checklists requirement aims to provide Quality Control Specialists with the ability to access and utilize the quality checklists via mobile devices. This feature ensures that users can perform quality checks on the go, enabling them to update checklists in real-time and log results immediately as they monitor the brewing process. By facilitating mobile access, this requirement enhances flexibility and expedites the quality control process, reducing delays associated with transitioning information from physical to digital formats. Moreover, it will empower staff to make timely decisions based on real-time data, reinforcing a culture of immediate accountability and responsiveness in quality management.
Acceptance Criteria: Accessing quality checklists during a brewery tour.

Given a Quality Control Specialist is on a brewery tour, when they use their mobile device to log into Foamly, then they should be able to view the quality checklists associated with the brewing process in real-time.

Updating a checklist while inspecting the brewing equipment.

Given a Quality Control Specialist is inspecting the brewing equipment, when they complete a checklist item on their mobile device, then the checklist should update immediately to reflect the completed item and save the changes automatically.

Logging results after a quality control check has been performed.

Given a Quality Control Specialist has completed a quality control check on a batch of beer, when they log the results on their mobile device, then the system should successfully record the results and allow them to enter additional notes if necessary.

Receiving alerts for incomplete quality checks.

Given a Quality Control Specialist has not completed a quality checklist within the designated time, when they access the mobile application, then they should receive an alert notifying them of the pending checklist items that need attention.

Ensuring the quality checklists are accessible offline.

Given that a Quality Control Specialist is in a low-connectivity area, when they attempt to access the quality checklist, then they should still be able to view previously synced checklists and be able to edit them, saving changes for future upload once connectivity is restored.

Integrating the checklist results into the central database.

Given a Quality Control Specialist has submitted the results of a quality checklist via their mobile device, when the submission is completed, then the results should be automatically integrated into the central database of Foamly without any manual intervention.

Providing real-time analytics based on checklist results.

Given that multiple Quality Control Specialists have logged results on their mobile devices, when they review the analytics dashboard, then it should display real-time data reflecting the quality check performance trends across different batches.

Emergency Notifications

Send immediate alerts for critical situations, such as supply chain disruptions or quality control failures. This feature ensures that brewers can respond swiftly to urgent issues, minimizing potential downtime and maintaining high standards for their products.

Requirements

Real-time Alert System

User Story: As a brewer, I want to receive immediate alerts for critical situations so that I can respond swiftly and maintain the quality of my product.
Description: The Real-time Alert System enables immediate notifications to be sent to brewers during critical situations, such as when a supply chain disruption occurs or a quality control failure is detected. This requirement involves integrating with existing monitoring systems to ensure that alerts are triggered based on predefined conditions and delivered through multiple communication channels (e.g., email, SMS, in-app notifications). The implementation of this feature will significantly reduce response times, allowing brewers to take swift corrective actions to minimize downtime and ensure product quality. Moreover, by providing historical data on alerts, the system can help identify patterns or recurring issues, contributing to overall operational improvements.
Acceptance Criteria: Real-time notification during a supply chain disruption when a key ingredient is delayed at a supplier's facility.

Given a supply chain disruption has been detected, when the system triggers an alert, then the brewer receives an immediate notification via email and SMS. The notification includes details about the affected item and suggested actions.

Quality control failure detected during the fermentation process, leading to immediate alerts for brewers.

Given a quality control parameter (e.g., temperature, pH level) is out of the acceptable range, when the failure is identified by the monitoring system, then an in-app notification is sent to the brewers, and logs are created for compliance review.

Multiple critical alerts occurring in a short period (e.g., multiple quality control failures).

Given there are multiple alerts triggered within a 10-minute window, when these alerts are generated, then the system consolidates notifications and sends a summary report via email, detailing each event's critical information and timestamps.

Historical data analysis on triggered alerts for operational improvement insights.

Given that alerts have been triggered over the last month, when a brewer accesses the analytics dashboard, then historical patterns related to the alerts are displayed, helping identify frequent issues and suggesting preventive measures.

User role access for alert notifications to ensure only authorized personnel receive critical alerts.

Given that a critical alert is triggered, when a user with defined access rights is logged in, then the notification is sent to that user's email and through the app, while unauthorized users do not receive any alerts.

Testing the Real-time Alert System for response time efficiency during simulated supply disruptions or quality control failures.

Given that a simulation of a supply chain disruption is initiated, when the alert is triggered, then the response time is recorded and must be under two minutes for the alert to be successfully considered effective.

Integration with existing brewery management software for seamless notification delivery to brewers' systems.

Given the Real-time Alert System is integrated with existing brewery management software, when an alert is triggered, then the notification appears in both the Alert System and the management software with synchronized information and timestamps.

Custom Alert Settings

User Story: As a brewer, I want to customize my alert settings based on my operational metrics so that I only receive notifications that are relevant to my role.
Description: The Custom Alert Settings requirement allows brewers to configure their own notification preferences based on specific parameters relevant to their operations. This feature includes options to set thresholds for various operational metrics (e.g., temperature, ingredient levels) and choose which team members receive alerts based on their roles. Implementing this functionality streamlines communication and ensures that notifications are relevant and actionable for each user. It enhances user experience by enabling personalized control over operational alerts, ultimately leading to more efficient problem resolution and minimizing unnecessary disturbances.
Acceptance Criteria: User sets up custom alert settings for temperature fluctuations in the fermentation process.

Given the user is on the Custom Alert Settings page, when they input a temperature threshold of 75°F and specify the 'Brewing Manager' role to receive alerts, then the system should save the settings and send a test alert to the specified role.

A brewer receives an alert when ingredient levels fall below the predefined threshold.

Given an ingredient level for hops is set to trigger an alert at 30%, when the ingredient level drops to 25%, then the system should immediately send a notification to the 'Production Team' role indicating the low hop level.

User modifies existing alert settings to change the notification recipient.

Given the user has already configured an alert for high ethanol content, when they change the recipient from the 'Brewing Manager' to the 'Quality Assurance' role, then the system should update the recipient and confirm the change with a success message.

A team member reviews historical alert data to assess past responses to critical operations.

Given the user accesses the alert history dashboard, when they filter alerts for the last month, then the system should display a list of all alerts triggered, along with timestamps and actions taken.

User attempts to set a custom alert with invalid threshold values.

Given the user is on the Custom Alert Settings page, when they enter a temperature threshold of 'not a number' and attempt to save, then the system should reject the input and display an error message indicating valid input requirements.

An alert notification is received via email for a critical supply chain disruption.

Given an alert is triggered for a supply chain disruption, when the alert is sent, then the specified email addresses should receive the alert email within 5 minutes of the disruption being logged.

User enables and disables alerts for different operational metrics from the dashboard.

Given the user is on the main dashboard, when they toggle the alert settings for ingredient levels and quality control metrics, then the system should reflect these changes immediately and notify the user of the status update.

Incident Reporting Dashboard

User Story: As a quality manager, I want a dashboard that provides an overview of all incidents and responses so that I can analyze our performance and prevent future issues.
Description: The Incident Reporting Dashboard serves as a centralized platform where brewers can view and manage all emergency notifications and incidents that have occurred. This feature will include visual representations of alerts, timelines of incident responses, and related performance metrics. The dashboard enhances situational awareness by allowing users to quickly assess ongoing issues and the effectiveness of their responses. Incorporating this requirement will not only improve accountability and transparency but also aid in post-incident analysis to prevent future occurrences and improve brewery processes.
Acceptance Criteria: Incident Reporting Dashboard Viewing Emergency Notifications

Given that a user is logged into the Foamly platform, When they navigate to the Incident Reporting Dashboard, Then they should see a list of all active emergency notifications displayed with timestamps and categories (supply chain disruption, quality control failure).

Incident Reporting Dashboard Filtering by Incident Type

Given that a user is on the Incident Reporting Dashboard, When they use the filter options to select a specific incident type (e.g., supply chain disruption), Then only relevant incidents of that type should be displayed in the dashboard.

Incident Reporting Dashboard Accessing Detailed Incident Reports

Given a user is viewing the Incident Reporting Dashboard, When they click on a specific incident notification, Then a detailed report should be opened, showcasing the timeline of the incident and the actions taken for resolution.

Incident Reporting Dashboard Performance Metrics Display

Given that a user is on the Incident Reporting Dashboard, When they look at the performance metrics section, Then it should show key metrics including average response time and number of incidents resolved per week, updated in real time.

Incident Reporting Dashboard Responsiveness on Mobile Devices

Given that a user accesses the Incident Reporting Dashboard on a mobile device, When they rotate the device or adjust the screen size, Then the dashboard layout should adapt accordingly without data loss or misalignment.

Incident Reporting Dashboard Notification Acknowledgment

Given that a user receives an emergency notification, When they acknowledge the notification on the dashboard, Then the status of that notification should update to 'Acknowledged' and no longer trigger alerts for that incident.

Integration with External Systems

User Story: As a brewer, I want to integrate alert systems with our existing production tools so that I can automatically receive notifications based on real-time data.
Description: The Integration with External Systems requirement focuses on enabling the emergency notifications feature to connect and interact seamlessly with third-party applications and sensors. This functionality will ensure that alerts can be triggered based on data from various sources such as inventory management systems, production monitoring equipment, and supply chain platforms. By facilitating smooth data exchange between systems, brewers can enhance their situational awareness and response strategies. This capability is essential for creating a cohesive operational environment that integrates various components of brewery management, leading to improved efficiency and risk mitigation.
Acceptance Criteria: Emergency Notifications triggered by Inventory Management System

Given that the integration with the inventory management system is successfully established, when the inventory level falls below the predefined threshold, then an emergency notification is sent to the brewing team instantly via the mobile app and email alerting them to restock essential ingredients.

Emergency Notifications triggered by Production Monitoring Sensors

Given that the production monitoring equipment is fully integrated, when the sensors detect anomalies in the brewing process, then an emergency notification is generated and sent to the relevant personnel, ensuring a response can be initiated within 5 minutes.

Emergency Notifications triggered by Supply Chain Disruptions

Given that the connection with supply chain platforms is operational, when a disruption is reported (e.g., delayed shipment), then an emergency notification is sent out to all stakeholders, including suppliers and production managers, detailing the impact and recommended actions.

Response Logging for Emergency Notifications

Given that an emergency notification has been sent, when a member of the brewing team acknowledges the notification, then the system logs the response time and actions taken, ensuring traceability and accountability in handling urgent issues.

Mobile App Notifications for Urgent Alerts

Given that a design for mobile alerts has been implemented, when an emergency notification is triggered, then the mobile app displays a push notification and a dedicated alert screen that includes time-stamped details of the notification.

Testing the Reliability of Emergency Notifications

Given that the integration with all third-party applications is complete, when a scheduled test of the emergency notification system is conducted, then at least 95% of alerts must successfully notify the designated users within 2 minutes of the trigger condition.

User Customization of Emergency Alert Parameters

Given that users have access to the emergency notifications settings, when a user customizes the threshold for alerts (inventory level, sensor readings, or supply chain metrics), then the adjustments are saved correctly and reflected in the next triggering of the respective criterion.

User Role Management for Alerts

User Story: As an operations manager, I want to manage user roles for alert notifications so that sensitive information is only accessible to authorized personnel.
Description: The User Role Management for Alerts requirement establishes a system for defining user roles and permissions within the emergency notifications feature. This functionality allows different user levels (e.g., brewers, supervisors, managers) to have tailored access to alert features and settings. Implementing this requirement enhances security and ensures that sensitive operational information is shared only with appropriate team members. It further allows for configuring who can create, view, or modify alert settings, leading to better control over the response to emergencies and ensuring that the right information reaches the right people promptly.
Acceptance Criteria: User Access Control for Emergency Notifications

Given a user with the role of Supervisor, when they log into Foamly, then they should have the ability to view, modify, and create emergency alerts, but not delete them.

Alert Configuration Permissions by Role

Given a user with the role of Brewer, when they access the emergency notifications section, then they should only be able to view existing alerts and not have access to modify or create new alerts.

Managerial Override of Alerts

Given a user with the role of Manager, when an emergency alert is triggered, they should be notified immediately and have the capability to override existing alert settings to modify recipient lists as necessary.

Audit Trail for User Actions

Given any user role in Foamly, when they perform actions related to emergency alert settings, then an audit trail should be recorded that logs the user's information, timestamp, and type of action taken.

Role-Based Access Testing

Given multiple user roles (Brewer, Supervisor, Manager), when testing the emergency notification system, then each role should have the correct permissions applied as per the defined roles without any overlap or unauthorized access.

Emergency Alert Visibility Check

Given any user logged in with permissions, when they access the emergency notifications feature, then they should see only the alerts they are permitted to view based on their user role.

Mobile Alert Notifications

User Story: As a brewer, I want to receive alert notifications on my mobile device so that I can respond to emergencies no matter where I am.
Description: The Mobile Alert Notifications requirement focuses on developing a mobile-responsive feature that enables brewers to receive alerts directly on their mobile devices. This functionality includes a dedicated mobile application or a mobile-optimized web interface that allows users to stay informed about critical situations while on the go. The implementation of this requirement will ensure that brewers remain connected to their operations even when not physically present at the brewery. This increased accessibility is crucial for timely decision-making and enhances the overall responsiveness of the brewing team to urgent issues.
Acceptance Criteria: Mobile Device Receiving Alerts for Quality Control Failures

Given that a quality control failure occurs at the brewery, When the alert system sends a notification, Then a mobile alert should be received within 5 minutes on the designated mobile devices of all users subscribed to quality notifications.

User Customization of Alert Preferences

Given that a user has access to the mobile alert notifications feature, When they customize their alert settings, Then the system should allow users to select which types of alerts they wish to receive (e.g., supply chain, quality control) and save these preferences without errors.

Alert Notification Display on Mobile Interface

Given that a mobile alert notification is received, When the user opens the mobile application or web interface, Then the alert should be prominently displayed with a timestamp and relevant details about the critical situation.

Network Connection for Receiving Alerts

Given that the mobile device is connected to the internet, When a critical situation arises, Then the system should deliver the alert notification without delay. If the device is offline, the notification should be queued and delivered once the connection is restored.

Test of Alert Delivery Under Load

Given that multiple critical situations arise simultaneously, When the alert system is triggered, Then all users should receive their respective alerts without any loss of messages, and the delivery time should not exceed 2 minutes for each notification.

User Confirmation of Received Alerts

Given that a mobile alert notification has been received, When the user acknowledges the notification, Then the system should log their acknowledgment and provide a feedback mechanism for users to report issues with alerts.

Training and Documentation on Mobile Alert Usage

Given that the Mobile Alert Notifications feature has been implemented, When users access the training materials, Then they should find comprehensive documentation explaining how to configure and respond to mobile alert notifications effectively.

Sync & Share

Enable users to share notifications and updates with team members or stakeholders via the app. This feature fosters communication within brewing teams, ensuring everyone is on the same page regarding production activities, inventory status, and quality control, thereby enhancing team collaboration.

Requirements

Real-time Notifications

User Story: As a brewery manager, I want to receive real-time notifications about production updates so that I can quickly address any issues and keep the brewing process running smoothly.
Description: The Real-time Notifications requirement ensures that users receive instant updates regarding production activities, inventory levels, and quality control metrics. By delivering timely alerts through the Foamly platform, this feature promotes proactive decision-making and enhances operational transparency among team members. It aims to reduce the reaction time to critical situations, fostering a responsive brewing environment that can adapt to changes swiftly. The integration of this feature within the Foamly ecosystem reinforces communication, streamlines workflows, and minimizes operational disruptions while boosting overall team collaboration.
Acceptance Criteria: User receives notifications for low inventory levels during a production shift.

Given a threshold for low inventory is set, when inventory levels drop below this threshold, then the user receives a real-time notification on the Foamly app.

Users are alerted in real-time about changes in production schedules.

Given a production schedule change occurs, when the change is saved in the system, then all users involved in the production are notified via in-app notifications immediately.

Users receive quality control alerts when metrics exceed predefined limits.

Given quality control metrics are monitored, when any metric exceeds the defined limits, then the relevant users receive instant notifications to take corrective actions.

Team members can customize their notification preferences for different events.

Given a user is in the notification settings, when they select the types of notifications to receive, then only the selected notifications are sent to the user in real time.

Users receive notifications regarding completed production batches.

Given a batch of production is marked as complete, when the status is updated in the system, then all team members assigned to the batch receive a notification confirming completion.

Notifications can be shared among team members directly through the app.

Given a user receives a notification, when they select the 'Share' option and choose a team member, then the notification is successfully shared with that member in real time.

User Role Management

User Story: As an admin, I want to manage user roles and permissions so that I can ensure that team members have appropriate access to the information they need.
Description: The User Role Management requirement allows administrators to define and customize user access levels within the Foamly application. This feature facilitates a structured approach to team collaboration by ensuring that sensitive data and functionalities are accessible only to authorized personnel. By allowing for role differentiation, the feature supports the security of the brewing process and enhances accountability among team members. User Role Management also awaits integration with existing user accounts and authentication systems to ensure seamless access control across the platform.
Acceptance Criteria: User Role Creation and Assignment for Different Access Levels

Given an administrator is logged into the Foamly application, when they navigate to the User Role Management section, then they can create new user roles with defined permissions and assign these roles to specific users, ensuring users have the appropriate access levels to perform their tasks efficiently.

Access Control based on User Roles

Given a user has been assigned a specific role, when they attempt to access sensitive data, then access should be granted or denied based on the permissions associated with their role, ensuring compliance with security protocols.

Modification of User Roles

Given an administrator wants to update a user's access level, when they select the user and modify their role, then the changes should take effect immediately, and the user should have the updated access permissions without needing to log out and back in.

Integration with Existing User Accounts

Given the User Role Management feature is implemented, when the integration process with existing user accounts is executed, then all current users should be mapped to appropriate roles without loss of data or functionality in the Foamly application.

Auditing User Role Changes

Given an administrator has made changes to user roles, when reviewing the application logs, then records of changes should be accessible, detailing the user, action, and timestamp, ensuring accountability for role management activities.

Revocation of User Access

Given an administrator needs to revoke a user's access, when they remove the user's role, then the user should be unable to log into the Foamly application, effectively securing sensitive data from unauthorized access.

Role-Based View Restrictions

Given a user is logged into the application, when they navigate to different sections of Foamly, then they should only see the portions of the application relevant to their assigned role, preventing exposure to unauthorized functionalities.

Collaborative Messaging

User Story: As a brewer, I want to have a messaging system within the app so that I can easily communicate with my team about production process updates.
Description: The Collaborative Messaging feature enables users to communicate directly within the Foamly platform, providing a dedicated space for team discussions and updates related to brewing activities. This requirement focuses on enhancing team collaboration by allowing team members to share insights, ask questions, and provide feedback without leaving the application. The messaging system is integrated with production schedules and inventory data, making it easier for teams to align and coordinate their efforts efficiently. This feature aims to reduce reliance on external communication channels, streamline conversations, and maintain a robust record of discussions for future reference.
Acceptance Criteria: Team members want to discuss production schedules and inventory levels during a daily stand-up meeting to ensure everyone is aligned on current operations.

Given a user is logged into the Foamly platform, when they access the Collaborative Messaging feature, then they should be able to view a list of active discussions related to production schedules and inventory updates.

A brewer needs to ask a question about a recent batch of beer and wants to ensure the question reaches all relevant team members for a prompt response.

Given a user is in the Collaborative Messaging feature, when they post a question related to a specific batch, then notifications should be sent to all team members involved with that batch.

The quality control team is reviewing feedback on a recent brew and needs to provide insights without switching to another application.

Given a user is viewing the feedback thread within the Collaborative Messaging feature, when they submit a response, then the feedback should be saved and visible to all team members involved in the discussion.

A new team member joins the brewing team and needs to catch up on previous discussions about production and quality control.

Given a new user accesses the Collaborative Messaging feature, when they review the archived messages, then they should be able to read all previous discussions and decisions made regarding production and quality control.

A brewer wants to ensure that everyone is notified about an important update regarding inventory changes and their impact on production.

Given a user is drafting an important message in the Collaborative Messaging feature, when they tag specific team members in the message, then those members should receive a direct notification of the update.

Dashboard Customization

User Story: As a user, I want to customize my dashboard so that I can easily see the metrics that are most relevant to my tasks.
Description: The Dashboard Customization requirement allows users to personalize their main interface view according to their own preferences and operational needs. Users can add, remove, or rearrange widgets that display relevant metrics from their brewing process, inventory levels, and quality indicators. This feature enhances user experience by providing a tailored interface that caters to individual roles within the team, enabling quicker access to key information. By incorporating this functionality, Foamly supports diverse user roles while empowering users to make informed and timely decisions based on their customized dashboards.
Acceptance Criteria: User adds a performance metrics widget to their dashboard to monitor brewing efficiency in real-time.

Given a logged-in user on the dashboard, when they select the 'Add Widget' option and choose 'Performance Metrics', then the 'Performance Metrics' widget should be displayed on the user's dashboard, showing real-time data.

User rearranges the order of existing widgets on their dashboard to prioritize important metrics.

Given a user with multiple widgets on their dashboard, when they drag the 'Quality Indicators' widget above the 'Inventory Levels' widget, then the 'Quality Indicators' widget should be displayed above the 'Inventory Levels' widget.

User removes an unused inventory widget from their dashboard.

Given a user on their dashboard with an 'Inventory Status' widget, when they select the 'Remove Widget' option, then the 'Inventory Status' widget should no longer be displayed on the dashboard.

User saves their customized dashboard setup for future sessions.

Given a user has made changes to their dashboard layout, when they select the 'Save Customization' option, then those changes should persist and be reflected when the user logs in again.

Multiple users with different roles customize their dashboards based on their specific needs.

Given users with different roles (e.g., brewer, manager), when they customize their dashboards by adding or removing widgets, then each user should have a unique dashboard reflecting their role's requirements without affecting other users' dashboards.

User receives a confirmation message after successfully customizing their dashboard.

Given a user has completed customizing their dashboard, when they save their changes, then a confirmation message should appear stating 'Dashboard customization saved successfully.'

Audit Trail Tracking

User Story: As a quality manager, I want to see a log of all changes made in the system so that I can ensure compliance and review operational decisions.
Description: The Audit Trail Tracking requirement ensures comprehensive tracking of all user activities and changes made within the Foamly application. This feature records modifications made to inventory, production schedules, and quality control measures, providing transparency and accountability. Audit trails are essential for compliance with industry regulations and standards, allowing management to monitor operations closely and review past decisions for reflection and improvement. The feature can facilitate better internal reviews and external audits, reinforcing Foamly's commitment to operational excellence and security.
Acceptance Criteria: User Activities Tracking for Inventory Changes

Given a user updates the inventory records, when the change is saved, then an entry should be created in the audit trail capturing the user ID, timestamp, and details of the changes made.

Production Schedule Modification Logs

Given a production schedule is modified by a team member, when the update occurs, then the audit trail should log the user's name, date, time, and specific alterations made to the schedule.

Quality Control Adjustments Monitoring

Given a user adjusts quality control measures, when this adjustment is finalized, then the audit trail must reflect the adjustment details, including the user responsible and the reasons for the changes.

Access and Activity Review for Compliance

Given a compliance officer reviews user activity, when they access the audit trail, then they should be able to filter activities by user, date range, and type of modification for effective oversight.

Integration of External Audit Requests

Given that an external auditor requests insight into audit trails, when the required data is generated, then the system should provide a comprehensive report of changes made within specified timeframes and user activities.

Historical Data Access for Internal Reviews

Given a team leader needs to review past user activities, when they request historical audit data, then the system should allow them to view a timeline of changes including user IDs and timestamps, ensuring data accuracy.

Error Handling in Audit Trail Entries

Given a user attempts to perform an action that fails due to a system error, when the error occurs, then the audit trail should record the failed action attempt with details about the user and the system response.

Mobile Access Capability

User Story: As a field technician, I want to access the app on my mobile device so that I can manage tasks while moving around the brewery.
Description: The Mobile Access Capability requirement enables users to access the Foamly platform via mobile devices, providing flexibility and convenience for brewing teams operating on the go. With a mobile-optimized interface, users can manage tasks, receive notifications, and communicate with team members from anywhere, ensuring that critical operations are not hindered by location. This feature is particularly beneficial for on-site teams, allowing them to update inventory and production data in real-time, enhancing responsiveness and operational efficiency across multiple environments.
Acceptance Criteria: User accesses the Foamly platform on a mobile device while working in the brewery to update the inventory status.

Given the user is logged into the Foamly mobile app, when they navigate to the inventory management section and update an item's quantity, then the change should be saved and reflected in real-time across all user accounts.

A team member needs to receive a notification about a production schedule change while on the go.

Given the user has enabled push notifications in the Foamly mobile app, when a production schedule update occurs, then the user should receive an immediate push notification on their mobile device.

A brewer is on-site and needs to check the quality control metrics using the mobile app.

Given the user is using the Foamly mobile app, when they navigate to the quality control dashboard, then they should see the latest quality metrics updated within the last hour and be able to drill down into specific batches.

A brewing team needs to communicate about an urgent inventory shortage while on the production floor.

Given the user is in the live chat feature of the Foamly mobile app, when they send a message regarding an inventory shortage, then all team members in the chat should receive the message instantly.

A brewer wishes to view historical production data on their mobile device during a brewing session.

Given the user is logged into the Foamly mobile app, when they request historical production reports, then they should be able to filter the data by date range and product type, with the results loading within 5 seconds.

A brewer working on-site wants to submit a quality control issue through the mobile app.

Given the user is on the Foamly mobile app, when they submit a quality control issue report, then they should receive a confirmation message and the issue should be logged in the system for further review.

Mobile Dashboard

Provide a mobile-friendly dashboard that summarizes key metrics at a glance. This feature allows users to see their brewing operations' overall health, including inventory levels, production status, and quality outcomes, all in one place, which supports quick assessments and smarter decision-making on the go.

Requirements

Real-time Data Sync

User Story: As a craft brewer, I want the mobile dashboard to sync data in real-time so that I can make informed decisions immediately based on the latest operational metrics even when I am away from the main brewing facility.
Description: This requirement involves implementing a system that ensures real-time synchronization of all key metrics displayed on the mobile dashboard. Users will receive instant updates on inventory levels, production schedules, and quality control outcomes without needing to refresh the application. This enhances decision-making by providing the most accurate and current information at all times and minimizes the risk of making decisions based on outdated data. The effectiveness of this feature relies on robust backend processes and integration with existing data sources to ensure seamless updates across the platform, thereby significantly improving operational efficiency and responsiveness for brewers on the go.
Acceptance Criteria: User checks their mobile dashboard while on the brewing floor to monitor real-time inventory levels, production status, and quality outcomes during a busy brewing session.

Given the user is logged into the mobile dashboard, when the inventory level changes due to a brewing action, then the updated inventory level should reflect in the dashboard within 5 seconds without the need for a manual refresh.

A brewery manager is on a sales call and needs to provide up-to-date production status to a potential client. They access the mobile dashboard to check the latest production metrics.

Given the user is viewing the production status on the mobile dashboard, when the production schedule is updated, then the new production status should be displayed instantaneously to the user without any delay.

While conducting a quality test on a recent brew, the user observes their mobile dashboard to verify current quality control metrics.

Given the user is monitoring quality control metrics on their mobile dashboard, when a quality control outcome is recorded, then the mobile dashboard should update the related metric in real-time, showing the result within 3 seconds.

A brewmaster is monitoring overall operational health from a remote location, checking multiple key metrics through the mobile dashboard.

Given the user accesses the mobile dashboard from a mobile device, when any key metric (inventory, production, quality) exceeds predefined thresholds, then the dashboard should trigger an alert to notify the user immediately.

After finishing a batch, the production team checks the mobile dashboard for a comprehensive view of finished brew quality outcomes.

Given the team is viewing the mobile dashboard after a batch completion, when all quality control tests are finalized, then the dashboard should synchronize and display the latest quality outcomes within 5 seconds automatically.

A user encounters a delay in real-time updates and checks their mobile dashboard to ensure metrics are syncing correctly during a brewing process.

Given the user is actively using the mobile dashboard, when the user refreshes the page, then all key metrics should synchronize and display the most current data within 2 seconds after the manual refresh.

A brewery employee is conducting maintenance checks and uses the mobile dashboard to look at the latest metrics for operational efficiency.

Given the employee accesses the mobile dashboard, when there is a connectivity issue that prevents updates, then the dashboard should retain the last known metrics visible for user reference until connectivity is restored.

Customizable Metrics View

User Story: As a brewer, I want to customize the metrics displayed on my mobile dashboard so that I can easily focus on the aspects of production that matter most to me and my brewing operations.
Description: This requirement entails enabling users to customize which metrics they see on their mobile dashboard. Users should have the ability to select, prioritize, and arrange the display of various metrics, such as fermentation status, ingredient availability, and packaging progress. Providing a personalized dashboard improves user experience and allows brewers to focus on metrics that are most relevant to their operations. This customization fosters user engagement and maximizes the utility of the mobile dashboard, ensuring that every user can tailor their experience to suit their specific brewing process and priorities.
Acceptance Criteria: User accesses the mobile dashboard after logging into the Foamly app to view and customize their metrics display based on their brewing process.

Given the user is logged into the Foamly mobile application, when they navigate to the dashboard settings, then they should be able to select and prioritize at least five different metrics to display, including fermentation status and ingredient availability.

A user wants to arrange the order of metrics displayed on their mobile dashboard for optimal visibility according to their brewing schedule.

Given the user is on the mobile dashboard, when they drag and drop metric tiles to rearrange them, then the updated arrangement should be saved and reflected immediately on the dashboard.

The user wishes to remove certain metrics from their mobile dashboard to reduce clutter and focus on crucial statistics.

Given the mobile dashboard is open, when the user selects a metric tile and clicks the 'remove' option, then the selected metric should disappear from the dashboard and not be displayed until re-added.

A user is configuring their mobile dashboard for the first time and needs to see default metrics available for selection.

Given the user is setting up their dashboard for the first time, when they access the metric selection interface, then they should see a list of default key metrics like production status and quality outcomes with the option to add them to their display.

The user updates their customized metrics and returns to the mobile dashboard at a later time to verify if their changes were retained.

Given the user has customized their metrics and logged out of the application, when they log back in, then their previously selected and arranged metrics should be displayed as they were left.

A user wants to quickly switch between different custom views they’ve created for their metrics.

Given the user has multiple custom metric views saved, when they tap on a designated 'view' button on the dashboard, then the respective custom view should load instantly, displaying the appropriate metrics.

Alert System for Key Metrics

User Story: As a product manager, I want to receive alerts for key metrics on my mobile dashboard so that I can promptly address any critical issues that may affect our brewing schedule and product quality.
Description: This requirement focuses on developing an alert system that proactively informs users of critical changes or thresholds being met within the key metrics on the mobile dashboard. For example, if inventory drops below a certain level, or if production delays occur, users will receive instant notifications on their mobile devices. This feature is crucial for maintaining steady operations as it allows brewers to react promptly to potential issues, preventing disruptions in the brewing process and ensuring consistent quality of the products. The alerts can be configured based on user preferences to tailor the experience further and ensure relevance.
Acceptance Criteria: User receives an alert when inventory levels fall below the predefined threshold of 50 units.

Given that the inventory level drops below 50 units, when the alert system detects this change, then the user should receive an immediate push notification on their mobile device regarding the low inventory.

User receives a notification when a production delay occurs.

Given that a production delay is detected, when the alert system identifies this delay, then the user should receive an alert notification on their mobile device detailing the production status and expected resolution time.

User configures alert preferences for minimum inventory levels via the mobile dashboard.

Given that the user accesses the alert preferences settings, when the user sets a custom inventory threshold, then the alert system should save this preference and apply it for future notifications based on the defined level.

User receives daily summary alerts of key metrics on the mobile dashboard.

Given that it is the end of the day, when the system compiles key metrics, then the user should receive a summary notification detailing the inventory status, production outcomes, and quality metrics collected throughout the day.

User is able to mute or dismiss alerts during non-business hours.

Given that the user is in the alert settings, when the user selects the option to mute notifications during specified non-business hours, then the system should not send any alerts during the defined mute period.

User receives alerts on multiple devices (smartphone and tablet).

Given that the user has installed the Foamly app on multiple devices, when an alert is triggered, then the user should receive the notification on all registered devices in real-time.

User can view a history of alerts received through the mobile dashboard.

Given that the user accesses the alerts history section, when the user views past alerts, then the system should display a chronological list of alerts with detailed information and timestamps of each notification.

User Authentication and Security

User Story: As a brewery manager, I want to ensure that only authorized users can access the mobile dashboard, so that I can protect sensitive operational data from unauthorized access and maintain data integrity.
Description: This requirement involves implementing a robust user authentication and security framework for accessing the mobile dashboard. Given that the dashboard contains sensitive operational data, it is vital to ensure that only authorized personnel can access and modify information. This system should include multi-factor authentication, role-based access controls, and data encryption to protect against unauthorized access and data breaches. Ensuring high levels of security not only complies with industry standards but also builds trust among users regarding the safety of their business-critical information stored within the cloud-based platform.
Acceptance Criteria: User Authentication and Role-Based Access Control for Mobile Dashboard

Given a user has valid credentials, when they attempt to access the mobile dashboard, then they should be authenticated successfully and granted access based on their assigned role in the system, with appropriate restrictions applied.

Implementation of Multi-Factor Authentication

Given a user is attempting to sign in to the mobile dashboard, when they enter their username and password, then they must be prompted for a second authentication factor, and access should only be granted upon successful verification of the second factor.

Data Encryption for Sensitive Information

Given that user data is transmitted between the mobile application and the server, when data is sent, then it must be encrypted using industry-standard protocols, ensuring that unauthorized access to the data is prevented during transmission.

Failed Login Attempt Handling

Given a user has provided incorrect login credentials, when they try to log in, then they should receive an appropriate error message after three unsuccessful attempts, and their account should be temporarily locked for security purposes.

User Data Security Compliance Check

Given the ongoing operation of the mobile dashboard, when a security audit is performed, then it must show that all user data is compliant with industry regulations and best practices, including role-based access and encryption methods.

Session Timeout Functionality

Given a user is logged into the mobile dashboard, when their session remains inactive for a specified period, then they should be automatically logged out to prevent unauthorized access, and a notification should inform them of the session timeout.

Auditing User Access Logs

Given that the mobile dashboard logs user access records, when an administrator requests an access log report, then the system must provide a detailed record of all user login attempts along with corresponding timestamps and outcomes (success/failure).

Offline Access Capability

User Story: As a brewer working in remote locations, I want to access critical metrics from the mobile dashboard offline so that I can continue to monitor my brewing operations without interruption even when connectivity is lost.
Description: This requirement is about providing offline access to the mobile dashboard, enabling users to view certain key metrics even when there is no internet connectivity. The data displayed during offline mode should include the last synced information prior to losing connectivity, ensuring that users can still monitor essential operational parameters when they are in areas with poor connectivity. This feature is especially beneficial for brewers who work in remote locations or while traveling, allowing them to stay informed about their brewing operations without interruption. Once internet access is restored, the mobile dashboard should automatically sync back to the latest data.
Acceptance Criteria: User is in a remote brewing location without stable internet access and needs to check the inventory levels of key ingredients before brewing.

Given that the user has accessed the mobile dashboard in offline mode, When they check the inventory levels, Then the last synchronized inventory data should be displayed accurately without requiring internet connectivity.

A user goes into an area with poor internet connectivity while monitoring the production status of their ongoing brews.

Given that the user is observing the production status on the mobile dashboard, When the user loses internet access, Then the dashboard should continue to display the last synced production status without errors.

A brewer travels to a location with no internet connectivity and wants to review quality outcomes of recent batches.

Given that the user has the mobile dashboard open in offline mode, When they navigate to the quality outcomes section, Then the dashboard should show the most recent quality data available from the last synchronization.

The user finishes brewing and returns to an area with stable internet connectivity, needing to sync their mobile dashboard with the latest data.

Given that the user has regained internet access, When they open the mobile dashboard, Then it should automatically sync to retrieve the latest data without user intervention and update the displayed metrics accordingly.

A user checks the mobile dashboard after being offline for a while and wants to ensure all metrics are updated correctly.

Given that the user has accessed the mobile dashboard after being offline, When the data sync occurs, Then all metrics should reflect current and correct data with no discrepancies from previous reports.

A user is notified that they are offline and wishes to know which metrics are available in offline mode.

Given that the user is offline, When they access the mobile dashboard, Then they should receive a notification stating that they are offline and see only the metrics that are available in offline mode.

Carbon Footprint Calculator

This feature provides an intuitive calculator that allows breweries to estimate their carbon emissions based on production activities. By analyzing energy usage and raw material sourcing, it gives brewers insights into their environmental impact, enabling them to identify areas for reduction and enhance sustainability efforts.

Requirements

Energy Usage Input

User Story: As a brewery owner, I want to input my energy usage details so that I can accurately assess my carbon footprint and identify opportunities for energy savings.
Description: The Energy Usage Input requirement enables breweries to input detailed data regarding their energy consumption during production processes. This requirement involves creating an intuitive interface for users to enter information related to electricity, gas, and other energy sources utilized in brewing. By establishing a straightforward method for inputting energy data, brewers can effectively track their consumption patterns, leading to better insights into areas where energy use can be reduced, promoting sustainability and cost-efficiency in their operations.
Acceptance Criteria: Inputting Energy Data for Brewing Production

Given that the user is logged into Foamly, when they navigate to the Energy Usage Input section, then they should see fields to input data for electricity, gas, and other energy sources, and the fields should accept numeric values only.

Validating Energy Data Submission

Given that a user has filled out all required fields for energy usage, when they click the 'Submit' button, then the application should validate the input and display a success message or prompt the user to correct any errors in the data entry.

Displaying Historical Energy Usage

Given that a user has submitted energy usage data for multiple brewing sessions, when they select the 'View Historical Data' option, then they should see a cumulative report of their energy usage over time, displayed in a graphical format for easy analysis.

User Guide for Energy Input Feature

Given that the user is on the Energy Usage Input page, when they hover over the 'Help' icon, then a tooltip should appear providing a brief explanation of the input fields and the importance of each energy source in the brewing process.

Exporting Energy Data for Analysis

Given that the user has entered energy usage data, when they select the 'Export Data' button, then the system should generate a downloadable CSV file that contains all the entered energy usage information with timestamps.

Energy Usage Confirmation Pop-up

Given that a user has successfully submitted their energy usage data, when they submit the data, then a confirmation pop-up should appear summarizing the entered information and providing an option to edit if needed before final submission.

Mobile Access to Energy Input

Given that a user accesses Foamly on a mobile device, when they navigate to the Energy Usage Input section, then the interface should be responsive and maintain usability across various screen sizes, allowing for easy input of energy data.

Raw Material Sourcing Analysis

User Story: As a production manager, I want to analyze the sourcing of my raw materials so that I can identify sustainable suppliers and reduce my brewery's environmental impact.
Description: The Raw Material Sourcing Analysis requirement focuses on allowing breweries to document and analyze the sources of their raw materials, including ingredients like grains, hops, and yeasts. The feature will enable users to categorize materials by origin and supplier, providing visibility into the environmental impact related to sourcing. With this information, breweries can make informed decisions about their supply chain to ensure sustainability and lower their overall carbon footprint, fostering better environmental practices within the brewing community.
Acceptance Criteria: User logs into Foamly and navigates to the Raw Material Sourcing Analysis section to input data about ingredient sourcing.

Given that the user is logged in, when they navigate to the Raw Material Sourcing Analysis section and input data for at least three raw materials, then they should see a confirmation message indicating successful data entry.

User categorizes raw materials by origin and supplier using the Raw Material Sourcing Analysis feature.

Given that the user has input data for multiple raw materials, when they categorize at least two materials by origin and supplier, then the categories should be visually displayed in a summary view.

User analyzes environmental impacts based on sourced materials in the Raw Material Sourcing Analysis feature.

Given that the user has categorized their raw materials, when they request an analysis report, then the system should provide a report outlining the environmental impact of each category based on a predefined assessment metric.

User wants to update their supplier information within the Raw Material Sourcing Analysis feature.

Given that the user has previously entered supplier information, when they access the supplier details and make an update, then the changes should be reflected instantly without data loss, confirming successful update with a notification.

User accesses historical data related to raw material sourcing from the previous year.

Given that historical data is available, when the user requests a history report from the Raw Material Sourcing Analysis section, then the report should display accurate records from the previous year and allow for comparison with current data.

User generates a sustainability report that includes insights from the Raw Material Sourcing Analysis.

Given that the user has updated sourcing details, when they generate a sustainability report, it should include metrics on sourced materials, carbon footprint impacts, and potential areas for improvement based on the last six months of data.

User reviews the Raw Material Sourcing Analysis for trends over time.

Given that the user has been using the system for several months, when they access the trend analysis feature, they should see visual graphs depicting changes in sourcing practices and emissions over that time period, facilitating strategic decisions.

Carbon Footprint Summary Report

User Story: As a sustainability officer, I want to receive a summary report of our carbon footprint so that I can track our environmental impact and report on our sustainability initiatives to stakeholders.
Description: The Carbon Footprint Summary Report requirement provides users with a comprehensive overview of their calculated carbon emissions based on the data entered regarding energy usage and raw material sourcing. This feature will generate visual reports, including charts and graphs, that break down the total carbon footprint by production phase and highlight key areas for improvement. By enabling users to easily understand their environmental impact, this report assists breweries in tracking progress toward sustainability goals and encourages accountability in their practices.
Acceptance Criteria: User generates a Carbon Footprint Summary Report after entering data for energy usage and raw material sourcing.

Given the user has successfully entered valid data for energy usage and raw material sourcing, when the user requests a Carbon Footprint Summary Report, then the system should generate a report that includes visual representations, such as charts and graphs, accurately reflecting the carbon emissions breakdown.

User reviews the Carbon Footprint Summary Report to identify key areas for improvement in their production process.

Given the Carbon Footprint Summary Report has been generated, when the user views the report, then key areas for improvement should be clearly highlighted in the report, allowing the user to easily identify opportunities for reducing carbon emissions.

User prints or exports the Carbon Footprint Summary Report for external sharing and record-keeping.

Given the user is viewing the Carbon Footprint Summary Report, when the user selects the print or export option, then the system should successfully output the report in a print-friendly format or as a downloadable PDF file.

User accesses historical Carbon Footprint Summary Reports to track improvements over time.

Given the user has previously generated Carbon Footprint Summary Reports, when the user navigates to the historical reports section, then the user should be able to view a list of past reports with corresponding dates and carbon emissions data.

User receives notifications for updates or changes in best practices related to carbon footprint reduction.

Given the user has opted in for notifications, when there are updates or new best practices available regarding carbon footprint reduction, then the user should receive an alert through the platform informing them of these changes.

User requests clarification or support regarding interpreting the Carbon Footprint Summary Report.

Given the user is viewing their Carbon Footprint Summary Report and has questions, when the user selects the help or support option, then the system should provide access to relevant support materials or a contact for assistance.

Recommendations for Emission Reduction

User Story: As a brewery manager, I want to receive recommendations on how to reduce our carbon emissions so that we can enhance our sustainability efforts and achieve our environmental goals.
Description: The Recommendations for Emission Reduction requirement offers breweries actionable insights and suggestions for reducing their carbon emissions based on entered data. This feature uses algorithms to analyze energy consumption and raw material sourcing patterns, providing tailored recommendations that can range from switching suppliers to optimizing energy usage in production processes. This proactive approach empowers breweries to implement changes that align with their sustainability goals, encouraging continuous improvement in reducing their carbon footprint.
Acceptance Criteria: Brewer enters energy consumption and raw material sourcing data into the Carbon Footprint Calculator and requests recommendations for emission reduction.

Given a user has access to the Carbon Footprint Calculator, when they input accurate data regarding their energy usage and raw materials, then the system should generate at least three actionable recommendations for reducing emissions.

Brewer reviews the recommendations provided by the system to understand their potential impact.

Given the user has received recommendations for emission reduction, when they click on each suggestion, then the system should display detailed information including potential impact on carbon emissions and estimated cost savings for each recommendation.

Brewer implements one of the recommendations from the Carbon Footprint Calculator.

Given the user has selected a recommendation to implement, when they confirm the implementation in the system, then the system should update the user's profile to reflect this action and provide a confirmation message.

Brewer tracks the progress of emission reductions after implementing recommendations for a specified period.

Given the user has implemented recommendations, when they access the tracking dashboard after 3 months, then the system should display an update on their carbon emissions showing a percentage reduction compared to previous data.

Brewer seeks additional recommendations after certain changes have been implemented.

Given the user has made changes based on previous recommendations, when they input updated energy usage and material sourcing data, then the system should provide at least two new tailored recommendations for further emissions reduction.

System integration with existing inventory and production scheduling tools to enhance recommendation accuracy.

Given the system is integrated with the brewery's inventory and production scheduling tools, when the user inputs energy and material data, then the recommendations should take into account real-time data for improved precision.

User-Friendly Interface for Data Entry

User Story: As a new user of the tool, I want an easy-to-use interface to enter our brewing data quickly, so that I can efficiently manage our carbon footprint without confusion.
Description: The User-Friendly Interface for Data Entry requirement focuses on the design and implementation of a seamless and intuitive interface for users to easily input their energy and raw material data. This requirement ensures that the tool is accessible to various users with different levels of technical expertise. By developing user-friendly features such as drop-down menus, guided input forms, and help prompts, we enhance user engagement and data accuracy, making it simpler for breweries to gather the necessary information for the carbon footprint calculator.
Acceptance Criteria: User inputs energy usage data for a brewing batch through the user-friendly interface.

Given the user is on the data entry page, when they fill in the energy usage form with valid inputs and submit, then the system should save the data successfully and display a confirmation message.

User selects raw materials from a drop-down menu to enter data for carbon footprint calculations.

Given the user is entering raw material data, when they select options from the drop-down menu, then the available raw materials should be displayed accurately and allow for selection without errors.

A user accesses help prompts while filling out the data entry forms to assist with inputting their energy and raw material data.

Given the user is on the data entry form, when they click on the help icon next to a field, then a contextual help prompt should be displayed, providing clear guidance on what data is needed in that field.

A user navigates through the data entry interface to ensure ease of use and accessibility.

Given the user is on the data entry page, when they navigate through the interface, then all buttons and input fields should be easily accessible, and the layout should be intuitive without any unnecessary complexity.

User encounters an error while submitting data and needs feedback to correct it.

Given the user has filled in the data entry fields, when they submit the form with invalid data, then the system should provide specific error messages indicating which fields need correction.

The system automatically saves user-inputted data at regular intervals to prevent data loss.

Given that the user has been inputting data for a while, when the user is inactive for a set duration, then the system should automatically save the current data input without user intervention.

Users with varying levels of technical expertise successfully interact with the interface to enter data.

Given that users from different technical backgrounds are testing the interface, when they attempt to input their data, then at least 80% should successfully complete the task without external assistance or training.

Waste Reduction Dashboard

The Waste Reduction Dashboard visually tracks and categorizes the types of waste generated during brewing operations. By providing detailed analytics and actionable insights, this feature helps brewers implement effective strategies for minimizing waste, promoting recycling, and optimizing resource use.

Requirements

Visual Waste Tracking

User Story: As a brewer, I want to see a visual representation of the types of waste my brewing operations generate, so that I can quickly identify patterns and implement effective waste reduction strategies.
Description: The Visual Waste Tracking requirement involves creating a user interface component that allows brewers to view and monitor the types and amounts of waste generated during brewing operations. This interface will present graphs and charts to help users easily identify waste patterns and trends over time. It integrates seamlessly into the Waste Reduction Dashboard, providing a visual representation of data collected from brewing processes. The goal is to help brewers quickly understand their waste production, gauge the effectiveness of waste reduction efforts, and identify areas needing improvement. This feature is crucial for promoting sustainable brewing practices and supporting users in making informed decisions about waste management.
Acceptance Criteria: Visualizing waste data over a specified time period to identify trends.

Given that a brewer is on the Waste Reduction Dashboard, when they select a date range for waste tracking, then the dashboard displays graphs and charts representing the types and amounts of waste generated during that period.

Accessing specific waste analytics for targeted waste reduction strategies.

Given that a brewer has selected a specific type of waste, when they view the detailed analytics, then the system should provide actionable insights and suggestions based on historical data and benchmarking against industry standards.

Integrating user feedback for continuous improvement of the dashboard.

Given that users have access to the Visual Waste Tracking interface, when they submit feedback regarding usability and features, then this feedback should be logged and categorized for future updates and enhancements.

Ensuring real-time updating of waste data during brewing operations.

Given that a brew is currently in process, when waste is generated, then the dashboard should update in real time to reflect current waste levels and trends.

Providing detailed breakdown of waste types to support recycling efforts.

Given that a brewer is analyzing their waste data, when they hover over a waste type in the visual representation, then a tooltip should display detailed information about that waste type and possible recycling options.

Exporting waste tracking data for further analysis.

Given that a brewer wants to analyze waste data beyond the dashboard, when they select the export option, then the system should allow data export in CSV or PDF format, including all graphs and charts displayed.

Actionable Insights Generation

User Story: As a brewer, I want to receive actionable recommendations based on my waste data, so that I can easily implement strategies to reduce waste and improve my operations.
Description: This requirement focuses on developing analytics algorithms that generate actionable insights based on the waste data collected during brewing operations. The insights will include recommendations for waste reduction strategies and best practices that can be implemented by brewers to minimize waste. This requirement is vital in transforming raw data into meaningful information that can drive operational improvements. The implementation of this feature will enhance the overall functionality of the Waste Reduction Dashboard by not only tracking waste but also providing practical steps for users to optimize their processes and reduce overall waste, ultimately leading to economic and environmental benefits.
Acceptance Criteria: Brewers access the Waste Reduction Dashboard after a brewing batch to analyze waste data and receive actionable insights for future batches.

Given that the brewer has data from at least one completed brewing batch, when they open the Waste Reduction Dashboard, then they should see a graphical representation of different waste types generated during brewing and corresponding analytics recommendations for waste reduction.

A brewing manager receives an email alert when the Waste Reduction Dashboard identifies a significant increase in waste in a specific area of the brewing process.

Given that the brewing process generates waste data over time, when the Dashboard identifies a 20% increase in waste for a particular category, then an automated email alert should be sent to the brewing manager with suggested actionable insights to address the increase.

Brewers utilize the actionable insights provided by the Dashboard to implement a new waste reduction strategy during the next brewing cycle.

Given that actionable insights are generated after analyzing waste data, when the brewer selects a recommended waste reduction strategy from the Waste Reduction Dashboard and incorporates it in their next brewing cycle, then the waste generated in that cycle should decrease by at least 15% compared to previous cycles.

The Waste Reduction Dashboard generates a monthly report summarizing waste data and insights for review by the brewing team.

Given that the brewery runs multiple batches each month, when the brewing team requests a monthly summary report, then the Dashboard should generate a comprehensive report detailing waste categories, total waste, recommendations implemented, and potential savings from waste reduction measures taken during the month.

A brewer accesses historical waste data to assess the effectiveness of implemented waste reduction strategies over time.

Given that historical waste data is stored in the Waste Reduction Dashboard, when the brewer selects a timeframe and waste category, then they should be able to view trends and analytics showing the impact of waste reduction strategies implemented during that period against the total waste generated.

The Waste Reduction Dashboard allows users to customize their alert thresholds based on their specific waste reduction goals.

Given that the dashboard allows for user customization, when the brewer sets specific thresholds for waste alerts, then the Dashboard should trigger notifications when the specified thresholds are exceeded, allowing the brewers to respond proactively.

Waste Categorization Engine

User Story: As a brewer, I want to categorize my brewing waste, so that I can better understand where it comes from and target specific areas for reduction.
Description: The Waste Categorization Engine requirement necessitates the creation of a backend system that classifies different types of waste generated in the brewing process, such as liquid waste, solid waste, and packaging waste. The system will use predefined criteria to categorize each waste type and provide detailed statistics on each category. This categorization will allow brewers to understand not only how much waste is produced, but also the sources and types of this waste, leading to informed decision-making. Implementing this feature is essential for providing a comprehensive view of waste generation, enabling brewers to prioritize their waste reduction efforts more effectively.
Acceptance Criteria: Tracking the categorization of waste generated during a brewing cycle to optimize resource allocation.

Given a brewing cycle in progress, when waste is generated, then the Waste Categorization Engine should automatically categorize the waste into liquid, solid, or packaging, based on predefined criteria.

Generating detailed statistics on categorized waste for quarterly analysis meetings with brewing teams.

Given categorized waste data, when generating a report, then the system must produce accurate statistics on the total weight and volume of each waste category for the selected timeframe.

Identifying trends in waste generation over multiple brewing cycles to support waste reduction initiatives.

Given historical waste data, when analyzing trends, then the system should display insights into increases or decreases in each waste category over specified periods of time.

Providing brewers with actionable insights and recommendations based on waste categorization to minimize future waste.

Given the categorized waste data, when a user accesses the Waste Reduction Dashboard, then the system should present at least three tailored recommendations for reducing the highest waste category.

Enabling brew teams to input manual adjustments to waste categories if automated categorization does not match observed waste types.

Given an instance of categorized waste, when a user determines the category is incorrect, then the system must allow them to manually adjust the category and log the reason for the change.

Integrating the Waste Categorization Engine with existing inventory and production schedules to enhance overall reporting.

Given the integration settings are configured, when new waste data is captured, then it should automatically reflect in the inventory and production reports without manual input.

Conducting user acceptance testing (UAT) for the Waste Categorization Engine with select brewers to ensure functionality meets needs.

Given a UAT environment, when select users perform waste categorization tasks, then feedback collected during testing should indicate at least 80% satisfaction with the engine's accuracy and usability.

Benchmarking and Goal Setting

User Story: As a brewery manager, I want to set waste reduction goals and benchmark my performance against industry standards, so that I can improve my operational efficiency and sustainability practices.
Description: The Benchmarking and Goal Setting requirement involves building a feature that allows users to set waste reduction goals and compare their performance against industry benchmarks. This will include analytics that display user performance relative to standard waste metrics within the brewing industry, enabling brewers to set realistic targets for waste reduction. This feature not only encourages users to strive for continuous improvement but also fosters a community approach to learning and sharing best practices. By implementing this requirement, brewers will have the tools to evaluate their waste reduction efforts more effectively and stay motivated to achieve their sustainability goals.
Acceptance Criteria: User sets a waste reduction goal based on historical data in Foamly and wants to see their target tracked on the Waste Reduction Dashboard.

Given the user has historical waste data, when they set a specific waste reduction goal, then the goal should be displayed on the dashboard along with a progress bar indicating percentage achieved.

User compares their waste reduction performance with the industry benchmarks provided within Foamly.

Given the user has their waste metrics uploaded, when they view the benchmarking section of the Waste Reduction Dashboard, then they should see a comparison graph displaying their performance alongside industry standard metrics for waste reduction.

User views detailed analytics related to their waste generation and reduction efforts over a specific time period.

Given the user selects a time frame from the Waste Reduction Dashboard, when they request to view detailed analytics, then the dashboard should display categorized waste data, including trends and insights over that specific period.

User receives actionable insights based on their waste reduction data to help improve their performance.

Given the user has completed a defined period of tracking, when they access the insights section of the Waste Reduction Dashboard, then they should receive personalized recommendations for reducing waste based on their specific data trends.

User wants to share their waste reduction achievements and strategies with other brewers in the Foamly community.

Given the user has achieved a waste reduction goal, when they choose to share this achievement, then a prompt should allow them to post their results and strategies in the Foamly community forum.

User monitors the impact of implemented waste reduction strategies on their overall waste metrics over time.

Given the user has implemented various waste reduction strategies, when they analyze their waste data for the following months, then the overall waste metric should reflect a reduction compared to previous months' data post-implementation.

User sets reminders for reviewing their waste metrics regularly to stay on top of their waste management goals.

Given the user accesses the settings for notifications, when they set a reminder schedule for waste metric reviews, then the system should send alerts according to the specified schedule.

Reports and Sharing Functionality

User Story: As a brewer, I want to generate and share reports on my waste management efforts, so that I can communicate my sustainability progress with my team and partners.
Description: The Reports and Sharing Functionality requirement includes developing a feature that allows users to create detailed reports on their waste generation and reduction efforts, which can be exported or shared with stakeholders. Users will be able to generate customizable reports with graphs, trends, and summaries of their waste data, enabling them to communicate their sustainability progress effectively. This capability is critical for transparency and facilitating discussions around waste reduction strategies with team members and external partners alike. Implementing this requirement will enhance the usability of the Waste Reduction Dashboard, making it a valuable tool for accountability and communication.
Acceptance Criteria: User Generates a Custom Waste Report

Given the user is on the Waste Reduction Dashboard, when they select the 'Generate Report' option, then they should be able to choose from predefined templates or create a custom report format including specific waste data, trends, and graphs.

User Exports Reports to Different Formats

Given the user has generated a report, when they select the 'Export' option, then they should be able to successfully download the report in at least three different formats (PDF, CSV, Excel).

User Shares Reports with Stakeholders via Email

Given the user has generated a report, when they choose to share it via email, then the email should be sent to the specified stakeholders with the report attached and a customizable message included.

User Initiates the Report Creation Process

Given the user is logged into Foamly, when they navigate to the Waste Reduction Dashboard and click on 'Create New Report', then they should be redirected to the report creation interface with options to select waste parameters and date ranges.

User Views Report Summary After Generation

Given the user has generated a report, when they access the report immediately after generation, then they should see a summary view with key metrics highlighted (total waste reduced, percentage reduction, and main waste sources).

User Schedules Regular Report Generation

Given the user wants to track waste reduction, when they access the report settings, then they should have the option to set up a schedule for automated report generation (daily, weekly, monthly) and share reports automatically via email.

User Views Historical Reports

Given the user has created multiple reports in the past, when they navigate to the 'Historical Reports' section, then they should see a list of previously generated reports with options to view, download, or delete them.

Resource Usage Tracker

This feature monitors the consumption of water, energy, and raw materials throughout the brewing process. It offers real-time data and historical trends, empowering brewers to make informed decisions on resource management, reduce waste, and support sustainability initiatives.

Requirements

Real-time Resource Monitoring

User Story: As a brewery manager, I want to monitor resource usage in real time so that I can quickly identify inefficiencies and optimize our resource consumption to support sustainability efforts.
Description: This requirement entails the implementation of real-time tracking capabilities for water, energy, and raw material usage during the brewing process. It will integrate seamlessly with existing production modules, allowing users to access up-to-the-minute data on resource consumption across different batches and operations. The functionality will enable brewers to quickly identify inefficiencies, optimize resource allocation, and make informed decisions that support sustainability goals. The expected outcome is enhanced visibility into resource usage, driving reduced waste, improved efficiency, and informed decision-making in the brewing process.
Acceptance Criteria: Real-time tracking of water usage during the brewing process for Batch A in the brewing production module.

Given Batch A is in production, when the water consumption exceeds the predefined threshold, then an alert is generated and displayed on the dashboard.

Monitoring energy consumption for all active brewing batches in real-time on the Foamly platform.

Given multiple batches are active, when energy peaks are detected, then the system should log the peak consumption and provide a historical trend graph accessible in the analytics module.

Tracking raw material usage levels while brewing and making adjustments accordingly to optimize resource allocation.

Given the resource usage tracker is active, when raw material stock falls below the safety level, then a notification is sent to the brewer’s mobile device to reorder materials.

Generating a report on resource usage for brewers to evaluate efficiency after completing a production cycle.

Given a production cycle is completed, when the resource usage report is requested, then it should include detailed statistics on water, energy, and raw materials consumed, along with comparisons to historical data.

Integration of real-time resource data into Foamly’s dashboard for user accessibility during brewing.

Given real-time monitoring is active, when users log into the Foamly dashboard, then they should see live updates of resource usage on an easy-to-read interface.

Identifying areas of inefficiency based on historical resource usage during similar brewing processes.

Given historical data is available, when a brewing batch is analyzed, then the system should provide insights into past inefficiencies and suggestions for optimizing resource allocation.

Historical Data Analytics

User Story: As a quality control analyst, I want to analyze historical resource usage trends so that I can identify patterns and improve our brewing process over time.
Description: This requirement focuses on developing a robust analytics module that stores and analyzes historical data on resource usage patterns over time. Users will have the ability to access detailed reports that showcase trends, spikes in resource consumption, and comparisons across production cycles. The implementation of this capability will assist brewers in understanding long-term consumption trends, predicting future needs, and identifying areas for improvement. The significance of this feature lies in its ability to empower users with actionable insights, leading to continuous improvements in operational efficiency and proactive resource management.
Acceptance Criteria: Historical Resource Usage Access by Brewers

Given that a brewer is logged into the Foamly platform, When they navigate to the Historical Data Analytics section, Then they should be able to view a dashboard displaying resource usage patterns over the past 12 months, including detailed reports on water, energy, and raw materials consumption.

Comparison of Resource Consumption over Production Cycles

Given that historical data is available for at least three production cycles, When a brewer selects two production cycles to compare within the analytics module, Then they should see a side-by-side comparison report highlighting differences in resource usage and trends.

Trend Analysis over Time

Given that the resource usage data has been collected for six months, When a brewer requests trend analysis, Then the system should generate a report that identifies at least three distinct trends in resource consumption, along with visual graphs for each trend.

Alert for Anomalies in Resource Usage

Given that historical resource usage data is available, When the system detects a spike or drop in resource consumption that exceeds a predefined threshold, Then an alert should be sent to the brewer's email with details on the anomaly and suggested actions.

Export Historical Data Reports

Given that a brewer is viewing a historical data report, When they choose to export the report, Then they should be able to download the report in multiple formats (PDF, Excel) without any data loss or formatting issues.

User Interaction with Historical Data

Given that historical data is stored within the system, When a brewer interacts with the data by applying different filters (date range, resource type), Then the displayed results should update dynamically to reflect the selected filters accurately.

Integration of Historical Data with Other Modules

Given that historical resource usage data is analyzed, When a brewer views the resource usage within the context of production scheduling, Then the historical data should be seamlessly integrated, allowing for insights into how resource usage impacts production efficiency.

Alert System for Resource Waste

User Story: As a brewer, I want to receive alerts when our resource usage exceeds safe levels so that I can take immediate action to minimize waste and maintain efficiency.
Description: This requirement involves creating an alert system that notifies users when resource consumption exceeds predetermined thresholds or indicates potential waste incidents. Alerts will be configurable based on different resource types and specific brewing processes. This proactive feature is designed to ensure that brewers can quickly respond to resource waste and maintain optimal efficiency. The integration of this alert system will help enhance sustainability practices within breweries by encouraging timely action against excessive resource usage or leaks, resulting in significant waste reduction and cost savings.
Acceptance Criteria: As a brewer, I need to receive alerts for resource waste during the brewing process, so I can take immediate action to mitigate excess consumption and improve sustainability practices.

Given that resource consumption has exceeded a predetermined threshold, when the usage is recorded, then the system should trigger an alert notification to the user.

As a brewery manager, I want to configure alert thresholds for different resources (water, energy, raw materials) specific to each brewing process, ensuring that alerts are relevant to our operational needs.

Given that I am in the alert configuration settings, when I set specific threshold values for each resource type, then the system should save these settings without errors and apply them during monitoring.

As a brewer, I wish to review the historical trends of resource consumption to better understand patterns and configure my alert thresholds effectively.

Given that I access the historical data dashboard, when I select a resource type and a date range, then the system should display a clear graph showing the resource usage trends over the selected period.

As a user, I want to receive alerts via multiple channels (email, in-app) to ensure that I can quickly respond to potential waste incidents, regardless of my current activity.

Given that an alert has been triggered, when I configure my alert preferences, then the system should successfully send notifications through the selected channels (email and/or in-app) within 5 minutes of the alert being generated.

As a brewery operator, I need to ensure that alerts can be turned off or paused during maintenance or downtime periods, allowing for uninterrupted operation without false alerts.

Given that I am on the alert management page, when I select a maintenance period, then the system should provide an option to temporarily disable alerts without losing the configured threshold settings.

As a brewer, I wish to analyze the resource waste data to make informed decisions on resource management and sustainability efforts based on accurate alert history.

Given that I have received multiple alerts over a defined period of time, when I access the alert history report, then the system should generate a comprehensive report showing the frequency, type, and context of each alert issued.

Dashboard Integration

User Story: As a brewer, I want a comprehensive dashboard that displays our resource usage metrics so that I can quickly understand our current standing and make informed decisions.
Description: This requirement entails creating a user-friendly dashboard that summarizes key metrics related to resource usage, including current consumption, historical data, and alert notifications. The dashboard will provide a holistic view of resource management at a glance, enabling brewers to quickly assess operational status and make data-driven decisions. The integration will improve user experience and ensure that all key information is readily accessible and understandable, allowing for quicker response times and informed strategy planning.
Acceptance Criteria: Dashboard Overview Assessment

Given the user is logged into the Foamly platform, when they navigate to the Resource Usage Dashboard, then they should see a summary of current water, energy, and raw material consumption displayed in real-time metrics with visual indicators for each resource.

Historical Data Access

Given the user is viewing the Resource Usage Dashboard, when they select the historical data option, then they should be presented with a graphical representation of resource consumption trends over the past month, with the ability to filter by resource type.

Alert Notifications Configuration

Given the user has access to the dashboard settings, when they configure alert thresholds for resource consumption, then the dashboard should save these settings and trigger notifications if consumption exceeds the set thresholds.

User Role-Based Dashboard Access

Given multiple user roles within the Foamly platform, when a user accesses the Resource Usage Dashboard, then they should see information tailored to their role, with relevant metrics displayed according to their permissions.

Data Export Functionality

Given the user is on the Resource Usage Dashboard, when they choose to export data, then they should be able to download a CSV file containing the current consumption metrics and historical trends, formatted correctly for analysis.

Real-Time Data Update Verification

Given the user is actively monitoring the Resource Usage Dashboard, when resource consumption changes, then the displayed metrics should update in real-time without requiring a page refresh.

User Feedback Mechanism

Given the user is viewing the Resource Usage Dashboard, when they provide feedback through the integrated feedback form, then the submission should be successfully recorded and an acknowledgment message displayed on the dashboard.

Reporting Tool for Resource Usage

User Story: As a compliance officer, I want to generate reports on our resource usage to ensure we meet sustainability regulations and improve our operational efficiency.
Description: This requirement involves developing a reporting tool that will enable users to generate customized reports on resource consumption over specified time frames. This tool will allow for detailed insights into resource efficiency, helping brewers to understand their usage patterns and conduct retrospective analyses to improve future operations. The reporting tool will be essential in supporting compliance with sustainability regulations and enhancing overall operational efficiency by providing essential documentation on resource management.
Acceptance Criteria: Generating Weekly Resource Consumption Reports for Compliance Monitoring

Given that a user is logged into the Foamly platform, when the user selects the 'Generate Report' option for the resource usage tracking feature, then a customized report for the past week should be generated and available for download in PDF format.

Analyzing Historical Resource Usage Trends for Operational Improvements

Given that the user has access to historical data, when the user selects a timeframe and generates a report, then the report should display detailed insights into resource consumption trends for the specified period, highlighting peaks and troughs in usage.

Customizing Report Parameters to Focus on Specific Resources

Given that the user is on the reporting tool interface, when the user selects specific resources (water, energy, raw materials) and sets parameters such as timeframes, then the generated report should accurately reflect the specified parameters without any data discrepancies.

Exporting Reports to Different File Formats for Stakeholder Sharing

Given that the user has generated a report, when the user selects the export option, then the report should be exportable in at least three formats: PDF, Excel, and CSV, ensuring compatibility with various stakeholder systems.

Setting Up Automated Weekly Reports for Resource Monitoring

Given that the user has configured the reporting tool, when the user enables automated reports, then the tool should automatically generate and send weekly resource usage reports via email to the designated recipients without manual intervention.

Validating Compliance with Sustainability Regulations Through Reporting

Given that sustainability regulations must be adhered to, when a user generates a report, then the report should include relevant compliance indicators and readiness to present to regulatory bodies, confirming that all data meets legal standards.

Providing User Feedback Mechanism on Report Utility and Usability

Given that reports have been generated and utilized, when a user accesses the feedback option within the reporting tool, then they should be able to provide feedback on report usefulness, which is then recorded and analyzed for future tool improvements.

Sustainability Goals Planner

The Sustainability Goals Planner allows breweries to set, track, and manage their environmental objectives effectively. It provides templates for sustainable practices, monitoring progress towards these goals, and offering reminders and insights to keep brewers accountable for their commitments.

Requirements

Goal Setting Interface

User Story: As a brewery manager, I want to easily set and customize sustainability goals so that I can ensure our operations align with our environmental commitments and track progress effectively.
Description: The Goal Setting Interface allows users to define and customize sustainability objectives specific to their brewery’s operational context. Users can select from a variety of predefined templates that focus on different sustainability aspects such as water usage reduction, energy efficiency, waste management, and sourcing of sustainable ingredients. This feature will not only streamline the initial goal-setting process but also allow for flexibility and adaptability to unique brewery needs, ultimately promoting a culture of sustainability that aligns with Foamly’s mission of enhancing operational efficiency and reducing waste.
Acceptance Criteria: User is accessing the Goal Setting Interface on the Foamly platform to define specific sustainability objectives for their brewery’s operations, utilizing predefined templates to streamline the goal-setting process.

Given a user is logged into Foamly, when they access the Goal Setting Interface, then they can see a list of predefined sustainability templates and select one to customize.

A user has customized a sustainability goal based on their selected template focusing on energy efficiency and inputs their specific metrics and targets into the system.

Given a user has selected the energy efficiency template, when they input their specific metrics and save the goal, then the system successfully stores the customized goal with a confirmation message displayed.

The brewery has set various sustainability goals and wants to review their progress towards these objectives over time using the Foamly platform.

Given a user has set multiple sustainability goals, when they navigate to the progress tracking section, then they can view metrics and visualizations that show their progress against each goal over a selected time period.

A user who has previously set sustainability goals wants to edit an existing goal to reflect new operational targets due to changes in their brewery's practices or policies.

Given a user has a previously set sustainability goal, when they select the option to edit that goal, then they can modify the goal details and the system will update the goal accordingly with a success notification.

The brewery's team is in a meeting and they want to discuss sustainability objectives by utilizing the tracking insights provided by the Foamly system to guide their conversation.

Given the sustainability goals have been set and tracked, when a user generates a report from the system, then the report should include key insights, trends, and recommendations that reflect the progress and areas for improvement.

As part of the ongoing goal management, the user wants to receive reminders and updates about their sustainability goals to ensure that they stay accountable and on track.

Given a user has set sustainability goals, when the notification schedule triggers, then the user receives timely reminders via email or within the Foamly platform regarding their upcoming milestones and progress.

Progress Tracking Dashboard

User Story: As a brewery owner, I want to view a dashboard that tracks my sustainability goals in real-time so that I can quickly see how we are performing and make informed decisions to improve our efforts.
Description: The Progress Tracking Dashboard provides a comprehensive view of all sustainability goals established by the brewery. This dashboard dynamically updates to reflect current performance against benchmarks, track measurable metrics, and visualize progress through graphs and indicators. It enables users to easily identify areas where they are excelling or falling short, delivering actionable insights that can guide future decisions and adjustments. By keeping sustainability efforts front and center, this feature fosters accountability and encourages a proactive approach to achieving environmental targets.
Acceptance Criteria: User views the Progress Tracking Dashboard during a monthly sustainability review meeting to assess progress against the established environmental goals.

Given the user is logged into the Foamly platform, when they navigate to the Progress Tracking Dashboard, then they should see an updated visual representation of all sustainability goals with current performance metrics clearly displayed.

A brewery manager sets a new sustainability goal related to reducing water consumption and wants to monitor the impact over time using the dashboard.

Given that the user sets a new sustainability goal for water consumption reduction, when they access the Progress Tracking Dashboard, then they should see the new goal reflected with a baseline metric and a progress indicator that updates automatically based on input data.

The brewery staff want to ensure that the insights provided by the dashboard are actionable and relevant to their current sustainability efforts.

Given that the Progress Tracking Dashboard is displaying current sustainability metrics, when the user clicks on a specific metric area, then they should receive tailored recommendations and insights based on the results shown in that metric.

The sustainability coordinator needs to prepare a report for stakeholders outlining progress toward sustainability goals for the quarter.

Given that the user is preparing a quarterly report, when they extract data from the Progress Tracking Dashboard, then they should be able to generate a report that includes visual graphs, summary metrics, and comparisons to previous reporting periods.

A brewer wishes to receive alerts regarding any goals that are not on track for completion as per the dashboard updates.

Given that a sustainability goal has not met its benchmarks as indicated on the dashboard, when the user is logged in, then they should receive email reminders alerting them to the goal's status and suggesting actions for improvement.

The brewery has a team day where staff is trained to use the Progress Tracking Dashboard effectively for sustainability tracking initiatives.

Given that all staff members are in a training session, when the trainer demonstrates the Progress Tracking Dashboard, then all team members should be able to navigate through its key features and report metrics with confidence by the end of the session.

Brewers want to compare their sustainability goal achievements against industry benchmarks to assess their performance.

Given that the user accesses the Progress Tracking Dashboard, when they select an option to compare against industry benchmarks, then they should be presented with a comparative analysis indicating their performance relative to standard industry sustainability metrics.

Reminders and Notifications

User Story: As a sustainability coordinator, I want to receive reminders about our sustainability milestones and deadlines so that I can ensure our team stays on track with our commitments.
Description: The Reminders and Notifications feature ensures that brewery staff remain informed and on track with sustainability commitments. This functionality allows users to set reminders for upcoming milestones, deadlines for sustainability efforts, or even alerts for re-evaluating goals based on changing industry standards or regulations. These notifications can be delivered via email, app notifications, or through SMS, promoting consistency in awareness and action. This feature supports accountability across the team and keeps everyone aligned with the brewery's environmental objectives.
Acceptance Criteria: Brewery staff set a reminder for a sustainability milestone due in two weeks.

Given the user sets a reminder for a milestone, when the due date approaches, then a notification is sent via email and app notification to the user.

A brewery manager wants to review all upcoming deadlines for sustainability goals.

Given the user accesses the reminders page, when the page loads, then all upcoming deadlines are displayed with their respective dates and times.

User updates a previously set reminder for a sustainability deadline.

Given the user selects an existing reminder, when they edit the reminder details and save, then the updated reminder is displayed correctly in the reminders list.

An employee needs to receive an SMS notification for a critical sustainability deadline.

Given the user has opted for SMS notifications, when the reminder time occurs, then an SMS message is sent to the user containing relevant details of the deadline.

The brewery staff is alerted to re-evaluate goals based on new industry regulations.

Given new regulations are announced, when the brewery updates their sustainability goals, then a notification is sent to all relevant staff members.

A user schedules multiple reminders for various sustainability practices.

Given the user creates multiple reminders, when they visit the reminders section, then all reminders are listed with their corresponding dates and notification methods clearly shown.

Reporting and Analytics Tools

User Story: As a brewery owner, I want to generate detailed sustainability reports so that I can showcase our commitments and progress to stakeholders and make data-driven decisions for future improvements.
Description: The Reporting and Analytics Tools allow breweries to generate detailed reports on their sustainability performance, highlighting achievements, areas for improvement, and aligning results with industry benchmarks. Users can create custom reports that include various metrics, timelines, and visualizations to provide insights into their sustainability journey and impact over time. This feature supports informed decision-making by presenting data in a user-friendly manner, ensuring that stakeholders can evaluate progress and communicate results effectively both internally and to external parties, such as customers or regulatory bodies.
Acceptance Criteria: Generating a Report on Sustainability Metrics for Review

Given a user is logged into the Foamly platform, when they select the Reporting and Analytics Tools, then they should be able to generate a report that includes at least three selected sustainability metrics, and the report should visually display these metrics over a specified timeline.

Tracking Progress Against Sustainability Goals

Given a brewery has set sustainability goals within the Sustainability Goals Planner, when the user accesses the reporting feature, then they should see a progress tracker that visually indicates the percentage completion of each goal alongside relevant performance data.

Creating Custom Reports Based on User Preferences

Given a user is utilizing the Reporting and Analytics Tools, when they choose to create a custom report, then they should be able to select from multiple metrics, timelines, and visualization formats, and the generated report should reflect these user selections accurately.

Sharing Reports with External Stakeholders

Given a user has generated a sustainability report, when they choose to share the report, then they should have the option to send the report via email or download it as a PDF, and the shared report should maintain the formatting and integrity of the original report.

Benchmarking Against Industry Standards

Given the Reporting and Analytics Tools are in use, when a user generates a report, then the report should automatically include comparison data against relevant industry benchmarks for the selected sustainability metrics.

Integrating Feedback from Stakeholders on Reports

Given a report has been generated and shared with stakeholders, when feedback is provided on the report, then the user should be able to incorporate this feedback into the next report generation process and save it for future reference.

Collaboration Tools

User Story: As a team member, I want to collaborate with others on our sustainability projects so that we can share ideas and collectively develop effective strategies to reach our goals.
Description: The Collaboration Tools facilitate communication and teamwork among staff members regarding sustainability projects. This feature includes shared workspaces, task assignments, and discussion boards that enable team members to collaborate on sustainability initiatives, exchange ideas, and stay informed about each other's progress. With a focus on fostering a collaborative culture, this feature ensures that everyone involved in sustainability efforts can contribute and remain engaged, leading to better overall results and innovation in environmental practices.
Acceptance Criteria: Team members are collaborating on sustainability goals in a shared workspace, discussing progress and assigning tasks to each other using the collaboration tools available in Foamly.

Given team members are logged into Foamly, when they create a shared workspace for sustainability initiatives, then all members should be able to view, assign, and update tasks without system errors.

Brewers use the task assignment feature to delegate responsibilities regarding environmental practices among staff members for efficient workflow.

Given a task is assigned within the collaboration tool, when a team member completes the assigned task, then the status of the task should automatically update to 'Completed' and notify all team members.

Staff members discuss sustainability initiatives in a virtual discussion board within the collaboration tools to share ideas and progress.

Given the discussion board is active, when team members post ideas or questions, then other members should be able to respond, with notifications sent to all relevant team members for each interaction.

The collaboration tools facilitate real-time updates on project tasks and milestones for sustainability initiatives, ensuring all team members are informed of progress.

Given a project milestone is reached within the tool, when updates are made to the project status, then all team members involved should receive real-time notifications about the changes to the project.

Team leaders review the overall progress of sustainability projects through a dashboard that synthesizes collaboration efforts among team members.

Given that a dashboard is available for sustainability projects, when team leaders access the dashboard, then they should see an accurate visual representation of tasks completed, ongoing tasks, and outstanding assignments.

Brewers utilize the reminders and insights feature to stay accountable to their sustainability goals, ensuring no tasks are overlooked.

Given reminders are set for sustainability tasks, when the due date approaches, then each assigned team member should receive a notification reminding them of the upcoming deadline.

Sustainability Best Practices Library

User Story: As a brewery manager, I want access to a library of sustainability best practices so that I can learn from industry leaders and implement successful strategies in my operations.
Description: The Sustainability Best Practices Library is a resource hub that provides users with access to a collection of industry-specific guidelines, case studies, and templates for implementing successful sustainability initiatives. This feature serves as an educational tool, helping breweries learn from one another and adopt new strategies for enhancing their environmental footprint. By having easy access to proven best practices, users can feel empowered to innovate and improve their sustainability performance effectively.
Acceptance Criteria: As a brewery manager, I want to access the Sustainability Best Practices Library to find industry-specific guidelines that can help us reduce our environmental footprint during production.

Given the user is logged in to the Foamly platform, when they navigate to the Sustainability Best Practices Library, then they should see a categorized list of guidelines, case studies, and templates.

As a brewer, I want to filter the resources in the Sustainability Best Practices Library by specific areas of sustainability, such as water usage or waste management, to find pertinent information easily.

Given the user is in the Sustainability Best Practices Library, when they apply a filter for a specific sustainability category, then only resources relevant to that category should be displayed.

As a sustainability coordinator, I want to view detailed case studies within the Sustainability Best Practices Library to learn from the experiences of other breweries.

Given the user is on a resource page within the Sustainability Best Practices Library, when they select a case study, then they should be directed to a page that displays the full details of the case study, including challenges faced and solutions implemented.

As a user, I want to bookmark certain best practices in the Sustainability Best Practices Library so that I can easily reference them later.

Given the user is viewing a resource in the Sustainability Best Practices Library, when they click the 'bookmark' icon, then the resource should be saved to their personal bookmarks section for easy access later.

As a brewery owner, I want to receive periodic updates and insights regarding new sustainability practices added to the library so that we can continuously improve our practices.

Given the user is subscribed to updates from the Sustainability Best Practices Library, when new resources are added, then they should receive an email notification summarizing the new additions.

As a compliance officer, I want to track the usage of the Sustainability Best Practices Library by our brewery staff to ensure they are utilizing the provided resources effectively.

Given the admin user accesses the analytics section, when they view usage statistics for the Sustainability Best Practices Library, then they should see metrics indicating how many times resources have been accessed and which resources are the most popular.

Eco-Friendly Supplier Directory

Brewers can access a directory of sustainable suppliers committed to eco-friendly practices. This feature enables them to source ingredients and materials that align with their sustainability goals, fostering partnerships that support environmentally-conscious brewing and local sourcing.

Requirements

Eco-Friendly Supplier Directory

User Story: As a brewer, I want to access a directory of eco-friendly suppliers so that I can source ingredients and materials that align with my sustainability goals and support environmentally-conscious practices in my brewing operations.
Description: The Eco-Friendly Supplier Directory allows brewers to access a comprehensive list of sustainable suppliers who prioritize eco-friendly practices. This requirement entails creating a searchable database within Foamly, enabling users to filter suppliers based on specific criteria such as product type, location, sustainability certifications, and more. It will include supplier profiles that detail their practices, product offerings, and contact information. The directory aims to foster partnerships with local and sustainable suppliers, helping brewers align their sourcing with their sustainability goals. This feature contributes to Foamly's mission of enhancing operational efficiency while promoting environmentally-conscious brewing. Additionally, it will support brewers in reducing their carbon footprints and sourcing ingredients that are both high-quality and responsibly produced.
Acceptance Criteria: Searching for Eco-Friendly Suppliers Based on Location and Product Type

Given the user is on the Eco-Friendly Supplier Directory page, when they enter their location and select a product type filter, then the system should display a list of suppliers that match the search criteria, showing their names, locations, and product offerings.

Viewing Supplier Details and Sustainability Practices

Given the user selects a supplier from the directory, when they click on the supplier's profile, then the system should display the supplier's detailed profile, including their sustainability certifications, product offerings, practices, and contact information.

Filtering Suppliers by Sustainability Certifications

Given the user is viewing the Eco-Friendly Supplier Directory, when they apply a filter for sustainability certifications, then the system should update the list to show only suppliers with the selected certifications.

Adding New Suppliers to the Directory

Given an admin user is logged into the Foamly platform, when they input and submit a new supplier's details, including their practices and certifications, then the system should add the supplier to the Eco-Friendly Supplier Directory and display a confirmation message.

Searching Without Any Filters

Given the user is on the Eco-Friendly Supplier Directory page with no filters applied, when they initiate a search, then the system should return a complete list of all suppliers in the directory.

Responsive Design for Mobile Users

Given a user is accessing the Eco-Friendly Supplier Directory on a mobile device, when they navigate through the directory, then the layout should adapt appropriately to the mobile screen size, ensuring all functionalities are accessible.

Exporting Supplier List to CSV

Given the user is viewing the Eco-Friendly Supplier Directory, when they click the export button, then the system should generate a CSV file of the current supplier list and prompt the user to download it.

Supplier Rating and Reviews

User Story: As a brewer, I want to rate and review suppliers based on my experience, so that I can help other brewers make informed choices and encourage suppliers to maintain high standards.
Description: The Supplier Rating and Reviews feature enables brewers to evaluate suppliers based on their experiences through a rating system and user-generated reviews. This requirement involves creating functionality that allows users to submit ratings and written feedback for suppliers they have previously interacted with. The aggregated ratings will provide new users with insights into supplier reliability and product quality. This feature will also facilitate community engagement, enhancing trust and informed decision-making among brewers within the Foamly ecosystem. By allowing brewers to share their experiences, this feature helps maintain high standards among suppliers and encourages continuous improvement in service and product offerings.
Acceptance Criteria: Brewer submits a rating and review for a supplier after receiving ingredients and evaluating the supplier's service and quality.

Given a registered user on Foamly, when they navigate to the supplier's profile and select the 'Rate Supplier' option, then they can submit a rating from 1 to 5 stars and include written feedback that meets a minimum character count of 50 characters.

A new user browses the Supplier Rating and Reviews section to make an informed decision about which supplier to choose.

Given a new user accessing the Supplier Directory, when they view a supplier's profile, then they can see an aggregated rating, total number of reviews, and the most recent review prominently displayed.

A brewmaster wants to monitor feedback trends about a specific supplier over time.

Given a brewmaster viewing a supplier's profile, when they select the 'View Reviews' option, then they can see a summary of ratings over the last 12 months, including an average rating and a breakdown of ratings per month.

A user tries to submit a review that does not comply with the guidelines.

Given a registered brewer on Foamly, when they attempt to submit a review that contains fewer than 50 characters or contains prohibited content, then they are shown an error message outlining the issues with their submission.

Brewers want to report inappropriate or harmful reviews they encounter.

Given a user reading supplier reviews, when they click the 'Report' button on a review they find inappropriate, then a reporting form appears, and upon submission, the review is flagged for moderation within the system.

Brewers are interested in receiving notifications about new reviews posted for suppliers they use.

Given a user who follows a specific supplier, when a new review is posted, then they receive a notification via email and in-app alert informing them about the new review.

Personalized Supplier Recommendations

User Story: As a brewer, I want personalized supplier recommendations based on my preferences, so that I can efficiently find suppliers who align with my brewing practices and sustainability goals.
Description: The Personalized Supplier Recommendations feature utilizes data analytics to provide brewers with tailored suggestions for suppliers that meet their unique needs and preferences. By analyzing user profiles, past orders, and sustainability goals, this feature aims to connect brewers with suppliers that offer products aligned with their brewing methods and values. The recommendations will be generated automatically and presented in a user-friendly interface, thus enhancing the user experience. This functionality not only saves time but also encourages users to explore diverse suppliers, fostering innovation and collaboration within the brewing community.
Acceptance Criteria: Brewer accesses the Foamly platform and views their personalized supplier recommendations based on their profile and past orders.

Given the brewer's profile is complete, when they access the supplier recommendations page, then they should see a list of at least five suppliers that match their sustainable sourcing criteria.

Brewer modifies their sustainability goals and needs in the Foamly platform and checks the effect on supplier recommendations.

Given a brewer updates their sustainability goals, when they refresh their supplier recommendations, then the system should display updated recommendations that reflect the new criteria.

A brewer clicks on a recommended supplier to view more details and resources available for that supplier.

Given a brewer selects a recommended supplier, when they navigate to the supplier's details page, then they should see comprehensive information including contact details, product offerings, and sustainability practices.

Brewer interacts with the personalized supplier recommendations and wishes to save a favorite supplier for future reference.

Given a brewer views the supplier recommendations, when they click 'save to favorites' on a supplier, then that supplier should be added to their favorites list and accessible in their profile.

A brewer with no previous orders logs into the Foamly platform for the first time and seeks personalized recommendations.

Given a new brewer logs into Foamly for the first time, when they access the supplier recommendations, then they should receive at least three suppliers based on general sustainability criteria rather than personalized data.

Brewer reviews the performance and feedback on the suppliers they have ordered from through the platform.

Given a brewer has placed orders with suppliers recommended by the system, when they review their order history, then they should be able to provide feedback and ratings for each supplier.

A brewer wants to share their personalized supplier recommendations with a colleague for potential collaboration.

Given a brewer is viewing their supplier recommendations, when they select the 'share' option and enter a colleague's email, then the colleague should receive an email containing the supplier recommendations.

Supplier Engagement Dashboard

User Story: As a brewer, I want an engagement dashboard to monitor my interactions with suppliers, so that I can keep track of orders, communications, and evaluate my relationships effectively.
Description: The Supplier Engagement Dashboard provides brewers with a consolidated view of their interactions with various suppliers. This requirement involves developing a section within Foamly where brewers can track their order history, communication logs, and feedback provided to suppliers. By having all engagement details in one place, brewers can streamline their sourcing processes, follow up on outstanding orders, and enhance their relationships with suppliers. This dashboard will also integrate analytics to monitor the performance of suppliers over time, which aids in making data-driven decisions regarding future partnerships. The aim is to facilitate transparent communication and enhance collaboration between brewers and suppliers.
Acceptance Criteria: Supplier Engagement Dashboard displays order history for selected supplier.

Given a brewer has accessed the Supplier Engagement Dashboard, when they select a supplier from the directory, then the order history for that supplier should be displayed accurately, including order dates, quantities, and product details.

Brewer can log feedback for suppliers effortlessly.

Given a brewer is viewing the Supplier Engagement Dashboard, when they input feedback for a supplier and submit it, then the feedback should be saved and displayed in the communication logs under that supplier’s section.

Brewer can track and view communication logs with suppliers.

Given a brewer is on the Supplier Engagement Dashboard, when they select a supplier, then the complete communication logs (dates and messages) related to that supplier should be displayed in chronological order.

Dashboard integrates analytics showing supplier performance over time.

Given a brewer is on the Supplier Engagement Dashboard, when they navigate to the analytics section, then they can view a chart displaying supplier performance metrics over the selected time period based on order completion rates and quality scores.

Brewer can follow up on outstanding orders with suppliers.

Given a brewer is on the Supplier Engagement Dashboard, when they select the 'Outstanding Orders' filter, then all orders that have not been marked as completed should be displayed with relevant details such as order date and expected delivery date.

Brewer receives notifications for new supplier communications.

Given a brewer has logged into the Supplier Engagement Dashboard, when a new message from a supplier is received, then a notification should appear in the dashboard alerting the brewer to the new communication.

Brewers can search for suppliers based on specific criteria.

Given a brewer is using the Supplier Engagement Dashboard, when they input search criteria such as location or product type, then the dashboard should filter and display a list of suppliers that match the entered criteria.

Sustainable Sourcing Insights

User Story: As a brewer, I want to access sustainability insights for suppliers, so that I can select partners who are committed to environmentally-friendly practices and improve my own sourcing decisions.
Description: The Sustainable Sourcing Insights feature provides brewers with analytics and information regarding the sustainability practices of suppliers. This requirement includes developing a reporting tool that highlights key metrics such as carbon footprint, water usage, and sourcing practices of the suppliers in the directory. By implementing this feature, brewers can make informed decisions based on quantifiable sustainability data, thereby selecting suppliers who actively contribute to environmentally-friendly practices. The insights will also offer educational resources to help brewers understand sustainable sourcing. This enhances Foamly’s goal of promoting responsible brewing and environmental stewardship within the industry.
Acceptance Criteria: Sustainable Sourcing Insights Report Accessibility

Given a user is logged into the Foamly platform, when they navigate to the Sustainable Sourcing Insights section, then they should be able to access and view a report detailing the sustainability practices of suppliers, including metrics such as carbon footprint, water usage, and sourcing practices.

Sustainability Metric Calculation Accuracy

Given the supplier data is loaded into the system, when the Sustainable Sourcing Insights report is generated, then the sustainability metrics such as carbon footprint and water usage should be calculated with at least 95% accuracy based on the provided supplier data.

Educational Resource Availability

Given a user is viewing the Sustainable Sourcing Insights report, when they click on the educational resource links provided, then they should be directed to relevant articles and resources that explain sustainable sourcing practices.

Supplier Comparison Feature Functionality

Given the Sustainable Sourcing Insights report is displayed, when a user selects multiple suppliers for comparison, then the system should provide a side-by-side view of selected suppliers' sustainability metrics.

User Feedback on Sustainability Insights

Given a user has viewed the Sustainable Sourcing Insights report, when they submit feedback on the report's usefulness, then their feedback should be successfully recorded and acknowledged by the system.

Real-time Data Updating

Given the suppliers' sustainability data is updated, when the user accesses the Sustainable Sourcing Insights report, then the report should reflect the updated data in real-time without the need for a page refresh.

Search and Filter Functionality

Given a user is accessing the Sustainable Sourcing Insights directory, when they utilize search and filter options, then the system should return relevant suppliers based on the selected sustainability criteria.

Supplier Integration API

User Story: As a brewer, I want to integrate supplier systems with Foamly through an API, so that I can automate data exchange and have real-time access to supplier information and availability.
Description: The Supplier Integration API allows for seamless communication and data exchange between Foamly and the suppliers' systems. This requirement entails developing an API that enables automatic updates of supplier information, inventory status, and product availability in real-time. By integrating with supplier systems, brewers can access the most current data when making sourcing decisions, reducing manual efforts and errors. This feature not only enhances the efficiency of the procurement process but also strengthens relationships with suppliers by promoting greater transparency and responsiveness. The integration capability is pivotal for keeping Foamly up-to-date and ensuring reliable sourcing operations for brewers.
Acceptance Criteria: Brewer accesses the Supplier Integration API to fetch the latest supplier inventory data before placing an order for raw materials.

Given the brewer has authenticated access, when the supplier inventory data is requested, then the API returns the latest inventory quantities and product availability within 2 seconds.

Supplier updates their product availability through the Supplier Integration API.

Given that the supplier has new product information, when the supplier updates their availability, then the API should reflect these changes in Foamly within 5 minutes.

Brewer wants to view the historical data of supplier performance based on the received inventory updates over the last six months.

Given the brewer requests historical supplier performance data, when the request is made, then the API should return accurate historical data within 1 minute, including inventory changes and update timestamps.

System ensures that any unsuccessful update attempts from suppliers are logged for further review by the brewers.

Given a supplier attempts to update their inventory but fails, when this occurs, then the system logs an error with details for the brewer to review.

Brewer reviews and selects suppliers based on eco-friendly practices showcased in the Supplier Integration API.

Given the brewer accesses the supplier directory, when filtering for sustainable suppliers, then the API should return only suppliers that meet the defined eco-friendly criteria without duplications.

The API needs to authenticate requests to ensure only authorized users can access supplier information.

Given a user attempts to access the API, when the user is authorized, then the API should grant access; if unauthorized, return a 403 Forbidden response.

Brewer receives notifications for updated supplier inventory that aligns with their selected preferences on specific ingredients.

Given the brewer subscribes to notifications, when the supplier updates inventory, then the system should send an email notification about the update which includes new availability status within 10 minutes.

Carbon Offset Integration

This feature enables breweries to seamlessly purchase carbon offsets from vetted environmental projects directly through EcoTrack. By integrating this option, brewers can counteract their carbon footprint, contributing to global sustainability while enhancing their brand's eco-friendly image.

Requirements

Carbon Offset Purchase Flow

User Story: As a brewery owner, I want to easily purchase carbon offsets through Foamly so that I can mitigate my business's carbon footprint and promote a sustainable brand image.
Description: The Carbon Offset Purchase Flow requirement facilitates a straightforward process for breweries to purchase carbon offsets directly through the Foamly platform. This flow will be designed to guide users through selecting suitable carbon offset projects, making informed choices while providing detailed information about each project’s environmental impact. The integration of a user-friendly interface ensures that the purchasing process remains hassle-free, allowing users to seamlessly incorporate carbon offsets into their operational workflows. This feature aligns with Foamly’s mission to support sustainable practices in the brewing industry, enabling breweries to actively counterbalance their carbon emissions while enhancing their reputation as eco-conscious businesses. Expected outcomes include increased user engagement with sustainability initiatives, higher conversion rates for carbon offset purchases, and a boost in brand loyalty as customers recognize the brewery's commitment to environmental stewardship.
Acceptance Criteria: As a brewery owner, I want to access the Carbon Offset Purchase Flow so that I can easily purchase carbon offsets to support environmentally sustainable practices within my operations.

Given the user is logged into the Foamly platform, when they navigate to the Carbon Offset section, then they should see a list of available carbon offset projects with detailed information accessible by clicking on each project.

As a brewery staff member, I need to select a carbon offset project based on specific criteria such as price, impact, and location to make an informed purchase decision.

Given the user is viewing the list of carbon offset projects, when they use the filtering options available, then only projects that match the selected criteria should be displayed.

As a brewery manager, I want to confirm the purchase of carbon offsets after reviewing the selected project details to ensure the transaction is completed correctly.

Given the user has selected a project and is on the purchase confirmation page, when they click the 'Confirm Purchase' button, then a confirmation message should appear, and the transaction should be processed successfully, updating the user's carbon offset balance.

As a brewery employee, I need to navigate through the Carbon Offset Purchase Flow without encountering any errors or unnecessary complications during the process.

Given that the user is on any page within the Carbon Offset Purchase Flow, when they follow the steps to select and purchase an offset, then they should be able to complete the transaction within 5 minutes without errors or guidance prompts.

As a brewery marketing director, I want to track the number of carbon offset purchases made through the Foamly platform to evaluate the effectiveness of our sustainability initiatives.

Given that some carbon offsets have been purchased, when the administrator accesses the analytics dashboard, then the total number of carbon offset purchases should be displayed alongside key metrics like purchase trends and user engagement levels.

As a brewery owner, I want to receive a detailed report after my carbon offset purchase to understand the environmental impact that my purchases contribute to.

Given that a carbon offset purchase has been completed, when the user navigates to their account reports, then they should be able to download a detailed report that includes project details, carbon offset amount, and the corresponding environmental impact assessment.

Project Display and Filtering

User Story: As a user, I want to filter carbon offset projects so that I can find the best options to mitigate my brewery's carbon emissions based on my specific needs.
Description: The Project Display and Filtering requirement encompasses the creation of a robust system that showcases various vetted carbon offset projects directly within the Foamly platform. This requirement involves developing intuitive filters that allow users to sort projects based on various criteria such as project type, location, and effectiveness. Users will also be able to see relevant data, such as their carbon offset potential and costs associated with each project, enabling informed decision-making. This feature not only enhances user experience but also encourages wineries to engage with sustainability initiatives by providing clear, accessible information about how their contributions can make a difference. The expected outcome is a well-organized, user-friendly interface that encourages participation and supports the overall sustainability goals of the platform.
Acceptance Criteria: User navigates to the carbon offset projects section on the Foamly platform to view available projects.

Given the user is on the carbon offset projects page, when they apply filters by project type and location, then only the relevant projects are displayed according to their selected criteria.

A user wants to determine the carbon offset potential of a specific project they are interested in.

Given a user selects a project, when they view the project details, then the interface shows the carbon offset potential and associated costs clearly outlined.

A user attempts to filter carbon offset projects based on effectiveness and cost.

Given the user applies effectiveness and cost filters, when the filtering results are displayed, then the projects listed meet the chosen effectiveness and cost parameters set by the user.

A brewery owner wants to compare different carbon offset projects before making a purchase decision.

Given the user has selected multiple projects, when they click on the compare button, then a comparison view is generated that highlights the key metrics of each selected project regarding effectiveness, cost, and carbon offset potential.

A user engages with the sustainability content associated with each carbon offset project.

Given each carbon offset project has a section for sustainability impact, when the user clicks on this section, then detailed information regarding the environmental benefits and community impacts of the project is provided.

A user interacts with the help or support feature embedded within the projects section.

Given the user encounters difficulties while using the filtering system, when they access the help feature, then relevant tips and a frequently asked questions section are displayed to assist them.

Impact Reporting Dashboard

User Story: As a brewery owner, I want to see a dashboard showing my carbon offset impact so that I can track my sustainability contributions and share them with my customers.
Description: The Impact Reporting Dashboard requirement entails the development of a dynamic reporting tool that provides users with insights into the environmental impact of their carbon offset purchases. This feature will allow breweries to track metrics such as total carbon emissions offset, the specific projects they’ve supported, and the overall environmental benefits associated with their contributions. By encapsulating this information in an easy-to-read dashboard, users can not only monitor their sustainability journey but also share this impact with customers and stakeholders. The implementation of this dashboard will strengthen Foamly’s position as a leader in combining brewing with sustainability, promoting transparency and accountability that resonates with eco-conscious consumers. The expected outcome includes increased user satisfaction and enhanced marketing opportunities through demonstrated commitment to environmental impacts.
Acceptance Criteria: Salesperson views the Impact Reporting Dashboard to prepare for an upcoming sustainability presentation to stakeholders.

Given that the user is logged into Foamly, when they navigate to the Impact Reporting Dashboard, then they should see a summary of total carbon emissions offset with relevant charts and metrics.

A brewery owner reviews the dashboard to evaluate the effectiveness of their carbon offset purchases over the past quarter.

Given that the user selects a date range on the Impact Reporting Dashboard, when they apply changes, then the dashboard should update to display the total carbon offset metrics for that specific period.

A marketing manager prepares a report to share the brewery's environmental impact on social media.

Given that the user is on the Impact Reporting Dashboard, when they click the 'Export' button, then they should be able to download a PDF report summarizing their carbon offset contributions and associated environmental benefits.

A brewer wants to see which specific carbon offset projects they have supported through their purchases.

Given that the user is on the Impact Reporting Dashboard, when they click on a project from the 'Supported Projects' section, then the dashboard should display detailed information about that project, including its goals and achievements.

A user checks the responsiveness of the Impact Reporting Dashboard on a mobile device.

Given that the user accesses the Impact Reporting Dashboard from a mobile device, when they view the dashboard, then it should be fully functional and display all metrics without compromising usability.

A brewery owner wants to share their carbon offset achievements with customers during a brewery tour.

Given that the user accesses the Impact Reporting Dashboard, when they click on the 'Share' button, then they should be able to generate a public link to share their impact metrics on social media or via email.

An environmental auditor evaluates the transparency and reliability of the data presented on the dashboard during an annual review.

Given that the user accesses the Impact Reporting Dashboard, when they review the sourcing information for carbon offsets, then they should find clear documentation and verification of each offset purchase listed.

Community Impact Report

This feature generates a customizable report showcasing the brewery's sustainability efforts and contributions to the local community and environment. By promoting transparency, this report can enhance customer loyalty and attract environmentally-conscious consumers, showcasing brewers as responsible stewards of sustainability.

Requirements

Customizable Report Templates

User Story: As a brewery manager, I want to customize the Community Impact Report template so that I can effectively showcase our unique sustainability efforts and resonate with our customer base.
Description: The Community Impact Report feature must include customizable report templates that breweries can modify based on their specific sustainability initiatives and community contributions. Users should be able to add, remove, or alter sections of the report to fit their unique messaging and goals. This flexibility enables breweries to accurately reflect their efforts, enhancing authenticity and customer trust. Furthermore, the system should allow saving of templates for future use, driving efficiency and consistency in reporting practices.
Acceptance Criteria: Creation of a community impact report using a customizable template by a brewery.

Given the user is logged into Foamly, When they navigate to the Community Impact Report feature and select 'Create New Report', Then they should be able to choose from pre-defined templates and customize sections of the template to fit their sustainability initiatives.

Modification of existing report sections by the brewery user.

Given a user has created a community impact report, When they select the option to 'Edit Report', Then they should be able to add, remove, or alter sections of the report seamlessly and see their changes reflected instantly.

Saving and retrieving customized report templates by users.

Given a user has made custom changes to a report template, When they select 'Save Template', Then the system should allow them to name the template and store it for future use, ensuring it is retrievable from the dashboard.

Generating a community impact report from a saved template.

Given a user has saved a customizable template, When they navigate to the 'My Templates' section and select the saved template, Then they should be able to generate a report that reflects their previous customizations accurately.

Sharing the community impact report with stakeholders.

Given a user has generated a community impact report, When they select the 'Share' option, Then the system should provide options to download as PDF or share via email with specified stakeholders.

Validating the content accuracy of the report before final submission.

Given a user is ready to finalize their community impact report, When they click on 'Review', Then the system should provide a summary view of the report highlighting key sections for review and ensuring all required fields are completed.

Data Integration with Existing Systems

User Story: As a brewery owner, I want the Community Impact Report to pull data from our existing systems so that I can easily present accurate sustainability metrics to stakeholders.
Description: The Community Impact Report must seamlessly integrate with existing inventory management, production, and sales data within the Foamly platform. This integration will automate the gathering of relevant data needed for the report, reducing manual entry errors and ensuring data accuracy. Additionally, it will allow breweries to present concrete metrics showcasing their sustainability initiatives, such as waste reduction statistics and resource conservation efforts, reinforcing the authenticity of their community impact claims.
Acceptance Criteria: Brewery staff initiates the Community Impact Report generation process after completing their inventory and production records for the month.

Given that the inventory and production records are complete, when the report is generated, then the data should automatically pull from the existing database with no manual input required, and reflect the most current numbers for waste reduction and resource conservation.

A brewery wants to visualize and share their sustainability metrics through the Community Impact Report with stakeholders and consumers.

Given that the Community Impact Report is generated, when the brewery reviews the report, then it must include specific metrics such as waste reduction percentage, water usage reduction, and energy conservation statistics that are accurately sourced from the integrated data.

The brewery has implemented a new production process aimed at increasing sustainability and needs to share these metrics in their Community Impact Report.

Given that the new production process has been input into the inventory management system, when a report is generated, then the metrics related to the new process must be included and accurately represented based on the latest data gathered from the integrated systems.

A brewery decides to customize their Community Impact Report format before sharing it with the community.

Given that the brewery accesses the report generation interface, when they select customization options, then they should be able to modify the layout, select which metrics to display, and add textual descriptions of initiatives, which should be saved and reflected in the generated report.

The brewery is preparing for a local event where they will present their Community Impact Report to the public.

Given that the report is generated, when the brewery requests a PDF version, then the report should be downloadable in a high-quality PDF format without data loss or misrepresentation of figures, ready for print and distribution.

Brewery management wants to ensure that the integration of data from various systems does not disrupt existing reports.

Given that the Community Impact Report integrates multiple data sources, when the integration is complete, then there should be no performance degradation in existing reports, and all other reports must function correctly without errors.

Analytics Dashboard for Report Insights

User Story: As a marketing director, I want an analytics dashboard for the Community Impact Report so that I can evaluate the impact of our sustainability efforts on customer loyalty and engagement.
Description: An analytics dashboard must be developed to provide breweries insights into their Community Impact Reports' performance. This feature will aggregate data on how the reports influence customer engagement and loyalty over time. By visualizing trends and metrics related to community interactions, breweries can identify the effectiveness of their sustainability messaging. This will enable them to make data-driven decisions going forward, enhancing their strategies for community engagement and environmental responsibility.
Acceptance Criteria: Brewery analyzes customer engagement metrics after releasing the Community Impact Report.

Given a completed Community Impact Report has been published, when the analytics dashboard is accessed, then it should display customer engagement metrics, including views, downloads, and social media shares, for the report.

Brewery reviews historical data to assess changes in customer loyalty post-report release.

Given the release date of the Community Impact Report, when the analytics dashboard is used, then it should show comparisons of customer loyalty metrics before and after the report release, including repeat purchase rates and customer feedback scores.

Users customize the dashboard based on specific community impact metrics of interest.

Given the user is on the analytics dashboard, when they select their preferred community impact metrics, then the dashboard should update to reflect these metrics and allow for saving of this customized view.

Brewery identifies trends related to sustainability messaging effectiveness.

Given ongoing data collection, when the analytics dashboard is queried for trends over the last 6 months, then it should display a visual representation of trends in customer engagement and feedback pertaining to sustainability messaging.

Brewery evaluates the overall impact of sustainability efforts on community engagement.

Given multiple Community Impact Reports have been generated, when the analytics dashboard is accessed, then it should provide a cumulative analysis of all reports' impact on customer engagement and community interactions.

Brewery determines which types of sustainability initiatives resonate most with customers.

Given a selection of sustainability initiatives from the Community Impact Report, when the analytics dashboard is used to filter data, then it should show engagement metrics for each initiative, allowing the brewery to identify which initiatives have driven the most customer interest.

Print and Share Options

User Story: As a brewery owner, I want the ability to print and share our Community Impact Report so that we can promote our sustainability achievements and foster a stronger connection with our community.
Description: The Community Impact Report should include functionality for users to easily print or share their reports digitally (e.g., via email or social media). This feature will encourage breweries to distribute their sustainability efforts externally, increasing transparency and community awareness. By making it simple to promote their achievements, breweries can strengthen their brand reputation and attract environmentally-conscious consumers, thereby enhancing community relations and loyalty.
Acceptance Criteria: User wants to print the Community Impact Report for distribution at a local event.

Given the Community Impact Report is generated, when the user selects the 'Print' option, then the report should be formatted correctly and print all included information without errors.

User wishes to share the Community Impact Report via email to stakeholders and customers.

Given the Community Impact Report is generated, when the user selects the 'Share via Email' option, then the user should be prompted to enter email addresses, and upon submission, the report should be sent to the entered addresses without issues.

User wants to share the Community Impact Report on social media platforms to increase community awareness.

Given the Community Impact Report is generated, when the user selects the 'Share on Social Media' option, then the report should create a sharable post with an image link that successfully uploads to the selected social media platform.

User needs to view a preview of the Community Impact Report before printing or sharing.

Given the Community Impact Report is generated, when the user selects the 'Preview' option, then a visual representation of the report should be displayed, allowing the user to check for formatting and content accuracy before proceeding.

User wants to customize the report content before printing or sharing to highlight specific sustainability efforts.

Given the Community Impact Report is generated, when the user selects the 'Customize' option, then the user should be able to modify sections of the report and save those changes without data loss.

User wants to ensure that the printing function is compatible with various printer types.

Given the Community Impact Report is generated, when the user selects the 'Print' option, then the report should successfully print on at least three different printer brands without distortion or data loss.

User is utilizing the mobile version of the application to share the Community Impact Report.

Given the Community Impact Report is generated on a mobile device, when the user selects to 'Share via Email' or 'Share on Social Media', then the functionalities should work seamlessly without any mobile-specific issues or crashes.

Multilingual Support for Reports

User Story: As a brewery representative, I want to generate the Community Impact Report in multiple languages so that we can effectively communicate our sustainability efforts to our diverse customer base.
Description: The Community Impact Report feature should offer multilingual support to allow breweries to generate reports in various languages, catering to diverse customer demographics and community members. This inclusivity can enhance the brewery's reach and foster better communication with non-English speaking clientele. By providing reports in multiple languages, breweries highlight their commitment to community engagement and inclusivity, further solidifying their position as responsible, local stewards.
Acceptance Criteria: Generate Community Impact Report in Spanish for local community engagement event.

Given the user selects Spanish as the language option, when they generate the Community Impact Report, then the report should be successfully created in Spanish, displaying all content accurately translated.

Verify the multilingual report generation functionality for French users.

Given the user is a French-speaking brewery owner, when they choose French as the language option and generate the report, then the report must be fully translated into French, including all titles and sections without errors.

Create a Community Impact Report in German for an overseas marketing campaign.

Given the user selects German as the language option, when the report is generated, then all text entries must be displayed correctly in German, and the format should remain intact as per the original report layout.

Test report generation in Mandarin for promotional purposes.

Given the user initiates the report generation in Mandarin, when the report is created, then the output must confirm to be accurate in terms of vocabulary and context, with no missing information from the original report.

Generate Community Impact Report in multiple languages simultaneously for various demographics.

Given the user selects multiple language options, when they generate the report, then individual reports should be created for each selected language without any data loss or discrepancy in translation.

Generate a Community Impact Report in Italian for community stakeholders.

Given the user selects Italian as the report language, when the report generation process is completed, then the report should be fully translated into Italian, maintaining all headings, bullet points, and tables with design integrity.

User preferences saved for preferred report language in account settings.

Given the user sets a preferred language in their account settings, when they generate a Community Impact Report, then the report should default to the user's preferred language without manual selection required each time.

Interactive Feedback Mechanism

User Story: As a brewery stakeholder, I want to provide feedback on the Community Impact Report so that I can share my thoughts and contribute to improving sustainability efforts.
Description: An interactive feedback mechanism must be integrated into the Community Impact Report, allowing customers and community members to provide insights, comments, or questions directly related to the report. This feature promotes engagement and interaction, enabling breweries to foster relationships with their community and encourage dialogue around sustainability practices. Collecting feedback can also provide breweries with valuable insights to improve their future initiatives and reports.
Acceptance Criteria: Report Users Can Submit Feedback on the Community Impact Report

Given a customer views the Community Impact Report, when they click the 'Provide Feedback' button, then a feedback form should appear, allowing them to submit their insights, comments, or questions directly related to the report.

Feedback Submission Acknowledgment

Given a user submits feedback through the feedback form, when the submission is successful, then the user should receive an on-screen acknowledgment message confirming their feedback has been received.

Admin Access to Community Feedback

Given an admin user is logged into Foamly, when they navigate to the Community Impact Report section, then they should be able to view all submitted feedback with associated timestamps and user identifiers.

Feedback Filter and Search Functionality

Given an admin is viewing the submitted feedback, when they use the filter or search function, then they should be able to locate specific comments or insights based on keywords or date ranges.

Feedback Analytics Dashboard for Trends

Given an admin accesses the analytics section, when they choose the Community Impact Report feedback options, then a dashboard displaying trends and sentiment analysis of the submitted feedback should be visible.

Feedback Export Feature for Reporting

Given an admin views the feedback section, when they select the 'Export' button, then they should be able to download the feedback data in a CSV format for further analysis.

User Feedback Visibility on Community Impact Report

Given a customer views the Community Impact Report, when they scroll to the feedback section, then they should see a summary of all received feedback, showcasing community engagement.

Flavor Profile Matcher

Flavor Profile Matcher analyzes the user’s desired flavor characteristics and compares them against historical brewing data to suggest optimal ingredient substitutions and adjustments. This feature enhances the brewing experience by ensuring that each recipe aligns with the brewer’s creative vision while maintaining the desired taste integrity.

Requirements

Ingredient Substitution Suggestions

User Story: As a craft brewer, I want to receive ingredient substitution suggestions based on my desired flavor profile, so that I can creatively adjust my recipes without losing the intended taste.
Description: The Ingredient Substitution Suggestions feature provides users with a list of alternative ingredients based on their desired flavor profiles. By leveraging historical brewing data and flavor characteristics, this functionality allows brewers to maintain the essence of their recipes while exploring new possibilities. This is essential for innovation within the brewing process, enabling brewers to experiment with new ingredients without compromising the intended taste. The integration of this feature into Foamly will enhance the overall recipe development experience, allowing brewers to refine their craft and foster creativity without the risk of undesirable outcomes in flavor.
Acceptance Criteria: User seeks to create a new beer recipe using the Flavor Profile Matcher feature and prefers a citrus flavor profile. The user inputs desired flavor characteristics and requests ingredient substitutions based on previous brews with similar profiles.

Given the user inputs a citrus flavor profile, When the user initiates the search for ingredient substitutions, Then the system should return a list of at least three suitable alternative ingredients that match the desired flavor characteristics.

A brewer has an existing recipe that includes a specific hop variety but wants to explore alternatives due to supply issues. They utilize the Ingredient Substitution Suggestions to find compatible hops.

Given the user provides the original hop variety, When the user requests alternative ingredient suggestions, Then the system should provide at least two alternative hop varieties with corresponding flavor notes and usage rates.

The Flavor Profile Matcher is used during a brewing class where participants are encouraged to experiment with various ingredients. The instructor requests a demonstration of how ingredient substitutions can maintain flavor integrity.

Given the instructor requests an example of ingredient substitution during the class, When the demonstration is provided using the Flavor Profile Matcher, Then the system should showcase at least one successful substitution while maintaining the original flavor profile, along with reasoning for the choice.

A brewer wants to refine a batch of beer based on customer feedback about its flavor. They decide to adjust the recipe using the Ingredient Substitution Suggestions based on specific feedback noting that the beer was too bitter.

Given the user has specific feedback indicating bitterness in their beer, When they input this feedback into the system, Then the system should suggest alternative ingredients aimed at reducing bitterness and include comparative flavor profiles of suggested substitutions.

During a tasting event, a brewer wants to create a new recipe that is inspired by an existing popular brew while incorporating unique ingredients. They use the Ingredient Substitution Suggestions for this purpose.

Given the user has an existing popular recipe and wants to innovate, When they input the original recipe details and desired unique attributes, Then the system should suggest at least three innovative ingredient substitutions with a summary of how they enhance the flavor profile.

Flavor Consistency Analysis

User Story: As a brewer, I want to analyze the consistency of the flavors in my batches, so that I can improve the quality of my brews and maintain brand integrity.
Description: The Flavor Consistency Analysis requirement aims to provide brewers with insights into the consistency of their brewing batches by comparing the flavor profiles of current batches with historical data. This analysis will help identify variations and suggest adjustments for achieving more consistent flavors across different brewing sessions. The functionality includes visual reports and alerts when deviations from desired flavor profiles are detected. By integrating this feature into Foamly, brewers will be able to ensure their products meet quality standards consistently, enhancing customer satisfaction and brand reputation.
Acceptance Criteria: Brewer conducts a consistency analysis for a batch of IPA to ensure flavor match with past brews.

Given the brewer has access to historical flavor profiles, when they initiate the analysis for the current batch, then the system should compare the current flavor profile with at least three past similar batches and generate a visual report showing any deviations.

Brewer receives an alert when significant flavor deviation trends are detected during batch brewing.

Given the brewing process is in progress, when the system detects a deviation exceeding established thresholds based on historical data, then the brewer receives an alert notification in real-time indicating the specific flavor component that is inconsistent.

Brewer reviews a detailed visualization of flavor consistency across multiple brewing sessions over time.

Given the brewer selects a time frame for analysis, when they access the flavor consistency report, then they should see a visual representation of flavor variations plotted against time, with the ability to filter by recipe or ingredient.

System generates recommendations for ingredient substitutions based on flavor consistency analysis.

Given the consistency analysis identifies significant flavor deviations, when the brewer requests recommendations, then the system should provide a list of suggested ingredient substitutions and adjustments that could align the current batch with desired flavor profiles.

Brewer configures the thresholds for flavor deviations based on their specific quality standards.

Given the brewer has administrative access, when they adjust flavor deviation thresholds in the system settings, then the changes should be saved accurately and applied to all subsequent batch analyses.

Brewer accesses historical batch data to refine their brewing process based on flavor consistency.

Given the brewer wants to improve their brewing consistency, when they select a historical batch record from the system, then they should be able to view detailed flavor profiles and compare them against current batches to identify areas for improvement.

User-Friendly Recommendation Dashboard

User Story: As a brewer, I want a user-friendly dashboard that centralizes my flavor recommendations and analysis, so that I can quickly access insights and make informed decisions.
Description: The User-Friendly Recommendation Dashboard requirement focuses on providing a centralized interface where brewers can easily view flavor suggestions, ingredient adjustments, and consistency insights. The dashboard will feature intuitive navigation and customizable settings, allowing users to tailor their experience based on their preferences and brewing styles. This functionality aims to enhance user engagement with the Foamly platform, making it easier for brewers to access critical information quickly and efficiently. The design will promote a welcoming environment that encourages exploration and experimentation in flavor crafting.
Acceptance Criteria: User logs into the Foamly platform and navigates to the User-Friendly Recommendation Dashboard to view flavor suggestions and ingredient adjustments for their current brewing project.

Given that the user is logged into Foamly, when they access the Recommendation Dashboard, then they should see a list of flavor suggestions and ingredient adjustments relevant to their selected recipe, displayed in an organized manner.

A brewer customizes their dashboard settings to receive specific recommendations based on their previous brewing styles and preferences.

Given that the user is on the Recommendation Dashboard, when they change their customization settings, then the dashboard should immediately update to reflect these personalized preferences without needing to refresh the page.

Users explore ingredient substitutions on the dashboard to enhance the flavor profile of their current batch.

Given that a user is viewing an ingredient on the dashboard, when they click on the ingredient substitution option, then they should see a list of recommended substitutes that also includes anticipated flavor impacts and usage proportions.

A brewer wishes to share their dashboard insights with a colleague.

Given that the user is on the Recommendation Dashboard, when they select the share feature, then they should be able to export or share their current dashboard view via email or social media with accurate formatting and all necessary details included.

Brewers review historical data insights on the User-Friendly Recommendation Dashboard to inform their ingredient choices.

Given that the dashboard is displaying ingredient suggestions, when the user clicks on a historical data reference, then a pop-up should show detailed analytics related to previous brewing outcomes using that ingredient.

A brewer wants to filter suggestions based on the availability of ingredients in their inventory.

Given the user has added ingredients to their inventory, when they apply the inventory filter on the Recommendation Dashboard, then it should display only those flavor suggestions that can be made with the ingredients currently available.

Users need to access support for using the Recommendation Dashboard effectively.

Given that the user is on the Recommendation Dashboard, when they click on the help icon, then they should be able to view a supported FAQ section or video tutorials specific to the dashboard features.

Real-Time Flavor Profiling

User Story: As a craft brewer, I want to see real-time flavor profiles based on ingredient adjustments I make, so that I can optimize my brewing in the moment and achieve my desired outcome.
Description: The Real-Time Flavor Profiling requirement entails the capability for brewers to input parameters and receive immediate feedback on how those changes will affect the flavor profile of their brew. This functionality allows for dynamic adjustments during the brewing process, facilitating experimentation and immediate theoretical outcomes based on historical data. Integrating this feature will empower brewers to make on-the-fly adjustments, fine-tuning their recipes in real-time, leading to improved product quality and innovation.
Acceptance Criteria: Brewmaster adjusting the ingredient ratios during a brewing session to enhance the flavor profile based on real-time data feedback.

Given the brewer is in the brewing session, When they input new ingredient parameters, Then they receive a real-time analysis of flavor profile changes along with suggested ingredient adjustments.

User attempts to simulate a brew recipe by modifying specific ingredients and observing the projected flavor outcomes before actual brewing.

Given the user selects a base recipe, When they modify the ingredient quantities or types, Then the system should display the projected flavor profile with historical data comparisons in less than 2 seconds.

Quality assurance team reviewing changes made to a recipe based on flavor profiling during a brewing cycle.

Given the brewing adjustments were made based on real-time profiling, When the quality assurance team inspects the brewing data, Then they should find a documented record of all adjustments made and corresponding flavor analysis for compliance review.

Brewer attempts to restore a previous flavor profile that was successful based on historical data.

Given the brewer accesses the flavor profile history, When they select a previously successful recipe, Then the system should promptly restore the necessary ingredient parameters and flavor characteristics in under 3 seconds.

User sharing their experimental adjustments with team members for collaborative feedback.

Given the brewer makes real-time adjustments, When they choose to share these adjustments, Then the system allows sharing of adjustments and flavor profile changes with team members via integrated communication tools.

Brewery manager evaluates the impacts of ingredient changes on sales and customer feedback based on flavor profiling.

Given the manager reviews analytics reports, When they correlate ingredient changes with sales and customer ratings, Then they should be able to identify trends and impacts clearly presented in a visual dashboard.

Ingredient Availability Alerts

This feature sends alerts regarding ingredient availability, allowing brewers to make real-time adjustments to recipes based on what is currently in stock or readily accessible. By optimizing ingredient usage, the tool supports efficient brewing operations and helps reduce waste from unused or expired ingredients.

Requirements

Real-time Stock Monitoring

User Story: As a brewer, I want to receive real-time updates on my ingredient stock levels so that I can quickly adjust my recipes and prevent delays in production.
Description: The Real-time Stock Monitoring requirement enables the Foamly platform to continuously track ingredient stock levels and alert brewers when inventory reaches predefined thresholds. This functionality ensures that brewers are informed about their ingredient availability at all times, facilitating timely recipe adjustments and improving overall production efficiency. Integrating with other features such as production scheduling and quality control, this requirement supports a more streamlined brewing process while reducing the risks associated with running out of critical ingredients. The expected outcome is enhanced operational efficiency and minimized waste from expired or unused ingredients, thereby empowering brewers to maintain high-quality production without disruptions.
Acceptance Criteria: Real-time monitoring of ingredient stock levels via the Foamly platform brings immediate alerts to brewers when specific ingredient quantities fall below user-defined thresholds, allowing for timely adjustments and decision-making in product recipes.

Given that an ingredient's stock level falls below the alert threshold, when the stock monitoring system detects this change, then an immediate alert notification should be sent to the brewer's interface and/or mobile device.

Brewers utilize the Foamly platform to check their ingredient stocks before initiating a new brewing schedule. They will rely on the alerts to ensure they do not over-prepare if critical ingredients are low.

Given that the brewer is preparing for a new batch, when they access the ingredient availability section, then they should see a current status display that accurately reflects real-time stock levels and any active alerts.

When stock levels are updated, either manually or via supply chain integration, brewers expect the alerts to be recalibrated accordingly.

Given that a stock level is modified (either increased or decreased), when the new stock levels are saved in the system, then alerts for quantities should automatically adjust to reflect the new thresholds without manual recalibration.

In case of alert notifications, brewers may want additional context on the ingredient shortage, such as the specific type of alerts they want to receive and frequency of notifications.

Given that the ingredient alert system is set up, when a brewer specifies their notification preferences, then they should receive alerts according to their chosen preferences (immediate, daily summary, etc.).

Brewers should be able to access historical inventory data to track consumption and trends that contribute to future alerts and decision-making processes.

Given that the brewer navigates to the historical inventory section, when they request a view of ingredient consumption over a specified period, then they should receive accurate and clear data visualization of usage trends and alert history.

Ingredient availability alerts are expected to integrate seamlessly with other Foamly features, such as production scheduling and quality control.

Given that inventory alerts influence the production schedule, when a critical ingredient is reported low, then the production schedule should automatically flag or adjust any brewing operations reliant on that ingredient.

Ingredient Substitution Recommendations

User Story: As a brewer, I want to receive alternative ingredient suggestions when my preferred options are unavailable so that I can continue brewing without interruptions.
Description: The Ingredient Substitution Recommendations requirement allows Foamly to suggest alternative ingredients when certain stock is unavailable. This feature helps brewers maintain flexibility in their recipes and enables creative brewing practices without compromising on quality. By analyzing available stock and historical data on ingredient usage, this capability ensures that brewers can still achieve their desired taste profiles even when immediate ingredients are lacking. The integration of this requirement within the Foamly ecosystem further enhances the product's utility by providing actionable insights directly linked to inventory management and recipe optimization. The anticipated result is minimized disruptions in the brewing process, with brewers able to consistently produce high-quality results.
Acceptance Criteria: Brewer receives an alert for a missing ingredient during the recipe creation process, indicating that a substitute should be provided.

Given the brewer is creating a new recipe, When an ingredient is not available in stock, Then the system automatically suggests alternative ingredients based on historical data and compatibility with the original recipe.

Brewer needs to adjust the recipe on brew day due to unexpected ingredient shortages.

Given the brewer is viewing their scheduled brew, When an ingredient shortage is detected, Then the system alerts the brewer with substitution recommendations before the brewing process begins.

Brewer wants to ensure that substitution recommendations maintain the taste profile of the original recipe.

Given the brewer has selected a substitute ingredient, When the brewer confirms the substitution, Then the system generates a taste profile comparison report between the original and substitute ingredients to evaluate compatibility.

Brewer is monitoring ingredient stock levels and wants to preemptively make substitutions based on projected availability.

Given the system has access to current ingredient inventory and future usage schedules, When an ingredient is flagged as low stock, Then the system proactively generates a list of potential substitutions for the brewer to review ahead of time.

Brewer is looking to optimize their ingredient selections for cost-effectiveness without losing quality.

Given the brewer is viewing available ingredients and their costs, When the brewer chooses an ingredient, Then the system recommends cost-effective substitutions that do not compromise quality or the intended flavor profile.

Brewer wants to track the effectiveness of substitutions made in past brews to inform future selections.

Given the brewer accesses their brew history, When a brew with substitutions is selected, Then the system displays feedback on taste and performance metrics based on customer feedback and internal ratings for the substituted ingredients used.

Expiry Date Tracking

User Story: As a brewer, I want to be notified when my ingredients are nearing their expiry dates so that I can effectively manage my inventory and reduce waste.
Description: The Expiry Date Tracking requirement involves implementing a system within Foamly that monitors the expiry dates of all ingredients in inventory. This feature is crucial for ensuring that brewers can utilize ingredients before they reach their expiration, thus reducing waste and maintaining quality in their brewing process. The tracking system will automatically alert users as items approach their expiry dates, allowing proactive management of stock. Integrating this capability with the existing inventory management will provide brewers with a comprehensive view of their ingredient integrity. This requirement is expected to contribute significantly to operational efficiency and product quality.
Acceptance Criteria: Expiry Date Notification for Brewing Batch

Given that an ingredient with an expiry date approaching within 7 days is in the inventory, when the system checks expiry dates, then the brewer receives a notification alerting them of the ingredient's impending expiration.

Automatic Expiry Date Tracking Integration

Given that the expiry dates of ingredients are properly recorded in the inventory system, when the brewery conducts an inventory audit, then all expiry dates must be accurately reflected in the system and match the physical inventory.

User Interaction for Expired Ingredient Management

Given that an ingredient has reached its expiry date, when the brewer accesses the inventory list, then the expired ingredient should be clearly marked and prompt the user for appropriate action.

Historical Data Analysis for Ingredient Usage

Given that the expiry date tracking has been implemented for a period of 3 months, when the user requests a report on ingredient usage and expiry impact, then the report should display data showing a reduction in wasted ingredients due to proactive usage management.

Real-time Adjustment of Recipes Based on Stock

Given that an ingredient is about to expire, when the brewer attempts to finalize a recipe that includes this ingredient, then the system must prompt the user to make an alternative selection or alert them about the stock limitation.

User Configuration of Expiry Alerts

Given that the user wants to customize alert settings, when the user modifies the alert thresholds for expiry notifications, then the system must implement these settings without any errors and notify the user as per their configurations.

Inventory Adjustment Notifications

User Story: As a brewer, I want to be notified whenever there are changes to my ingredient inventory so that I can ensure my stock records are always accurate.
Description: The Inventory Adjustment Notifications requirement involves setting up a notification system that alerts brewers when any changes are made to their ingredient inventory, such as additions, removals, or adjustments. This functionality enhances transparency and helps brewers maintain accurate records of their stock. By providing real-time notifications, this feature ensures that any discrepancies in inventory are quickly addressed, fostering trust and accuracy in the brewing process. Integrating with the platform's overall inventory management system, this requirement supports effective operational practices and proactive decision-making.
Acceptance Criteria: Brewer receives an alert when any ingredient inventory is adjusted in the system, allowing them to promptly react to changes and manage stock levels.

Given the brewer has set up inventory alerts, when any adjustment is made to the ingredient inventory (add, remove, or adjust), then an instant notification is sent to the brewer's designated communication channel (email, SMS, app notification).

Brewer views a log of past inventory adjustments to track changes and confirm their accuracy, aiding in inventory management and transparency.

Given the adjustments are made in the inventory, when the brewer accesses the inventory adjustment log, then the log displays a chronological list of all changes made, including time stamps, ingredient names, and the nature of the change (added, removed, adjusted).

Brewer can customize notification settings according to their preferences for different ingredients, ensuring they receive the most relevant updates.

Given the brewer is in the notification settings section, when they choose specific ingredients to receive alerts for, then the system allows them to confirm and save these preferences, activating tailored notifications for those selected ingredients.

Brewer gets a summary notification at the end of the day that encapsulates all inventory adjustments, improving end-of-day inventory reviews.

Given that the brewer has set the preference for daily summaries, when the end of the day is reached, then the system generates and sends a cumulative report of all inventory adjustments made during the day to the brewer’s designated communication channel.

Brewer is notified of discrepancies between recorded stock levels and actual inventory counts during regular checks, enabling quick corrective actions.

Given the system has been updated with actual inventory counts, when discrepancies are identified between the recorded and actual inventory, then a discrepancy alert is immediately sent to the brewer, highlighting the mismatched items.

Brewer uses the mobile app to receive alerts instantly while on the go, allowing for quick decision-making in inventory adjustments.

Given the brewer is logged into the mobile app, when an inventory adjustment occurs, then a push notification is immediately sent to the brewer’s mobile device, enabling real-time awareness and action on stock changes.

Batch History Analyzer

Batch History Analyzer evaluates past brewing batches to identify trends and patterns in recipe performance. This tool helps brewers understand which adjustments led to successful outcomes, empowering them with data-driven insights that improve future brewing processes and overall product consistency.

Requirements

Batch Data Visualization

User Story: As a craft brewer, I want to visualize my batch data through charts so that I can easily identify trends and make data-driven decisions for improving my brewing processes.
Description: The Batch Data Visualization requirement allows users to view historical data related to individual brewing batches through interactive charts and graphs. This functionality will enable brewers to easily interpret complex data at a glance, identify trends, and make informed decisions for future brewing operations. The visualization will include metrics such as ingredient usage, fermentation temperatures, and outcome ratings, providing a comprehensive overview of prior batches. This requirement is crucial as it enhances data accessibility, helping brewers manipulate insights derived from their batch history to improve overall quality and consistency in beer production.
Acceptance Criteria: Brewer accesses the Batch History Analyzer to view detailed graphs and charts of historical brewing batch data for the past six months.

Given the user is logged into Foamly and navigates to the Batch History Analyzer, when they select date range filters, then the visualizations update to reflect batches brewed within that time frame.

A brewer wants to compare the ingredient usage of two successful batches to identify any differences that contributed to their outcomes.

Given a user highlights two batches in the Batch History Analyzer, when they select the 'Compare' option, then the tool displays a side-by-side comparison of ingredient usage and other key metrics.

After analyzing data, the brewer wants to export the visual representation and metrics for presentation during a team meeting.

Given the user is viewing the interactive charts in the Batch Data Visualization, when they click on the 'Export' button, then the data exports successfully in a PDF format without loss of detail.

A brewer needs to assess the impact of fermentation temperature on batch quality by examining historical data.

Given the user selects 'Fermentation Temperature' as a filter in the Batch Data Visualization, when they apply the filter, then the visualizations only display batches corresponding to the selected temperature range.

Brewer wants to quickly assess the overall trend in batch ratings over the past year.

Given the user views the Batch Data Visualization dashboard, when they access the 'Overview' section, then they see a line graph depicting batch ratings over the selected year with clear upward or downward trends marked.

Brewer wants to identify batches that resulted in product inconsistencies to take corrective measures.

Given the user applies a filter for ‘Outcome Ratings’ in the Batch History Analyzer, when they select a threshold rating for inconsistencies, then the visualizations highlight batches that fall below that rating.

Automated Recipe Adjustment Suggestions

User Story: As a brewer, I want to receive automated suggestions for recipe adjustments based on my past batches so that I can optimize my brewing process and ensure a consistent product.
Description: This requirement involves implementing a feature that automatically analyzes historical batch data and provides recommendations for recipe adjustments based on past performance. The system will utilize algorithms to evaluate ingredient ratios, brewing temperatures, and processes that led to successful batches versus those that did not. By offering tailored suggestions, this feature supports brewers in refining their recipes and optimizing brewing outcomes, ultimately leading to enhanced product quality and consistency. It is essential for fostering innovation in brewing through data-driven enhancements that align with brewers' specific needs and historical outcomes.
Acceptance Criteria: Brewer wants to optimize a recipe for a popular ale by analyzing historical performance data and adjusting ingredient ratios based on past successful batches.

Given a historical batch dataset, when the brewer initiates the batch analysis, then the system provides at least three actionable recipe adjustment suggestions based on data trends.

A brewer checks the automated recipe adjustment suggestions after making changes to brewing temperatures and processes for a recent batch that underperformed.

Given the changes made in the recent batch, when the brewer retrieves the suggestion report, then the report displays the adjustments specifically related to temperature and process modifications that were effective in past successful batches.

A brewery runs the Batch History Analyzer tool at the beginning of a new production cycle to guide their recipe adjustments for upcoming brews, expecting enhancements in quality.

Given access to the Batch History Analyzer, when the brewery runs the analysis on all previous batches, then they receive a comprehensive report that highlights key factors affecting quality and their suggested adjustments for each recipe.

A craft brewer evaluates the recipe recommendations generated by the tool after receiving feedback from customers on previous batches.

Given customer feedback on past products, when the brewer reviews the suggested adjustments from the tool, then the brewer sees suggestions aligned with enhancing flavors most requested by customers in their feedback.

A brewing team uses the automated suggestion features during a team meeting to discuss improvements in their production strategy for the next quarter.

Given the automated recipe suggestions document, when the brewing team reviews the suggestions together, then they should identify at least two actionable adjustments to implement in their next quarterly brewing plan.

A new user attempts to engage with the Automated Recipe Adjustment Suggestions feature for the first time and seeks guidance on its functionality.

Given a new user accessing the feature for the first time, when they view the user guide or tutorial prompts, then they should easily understand how to interpret the suggestions and implement them effectively in their brewing process.

A brewer conducts a comparative analysis of two different batch outcomes to validate the effectiveness of the recipe adjustment suggestions provided by the system.

Given two different batch results, when the brewer compares the outcomes with and without applying the suggested adjustments, then they should observe a statistically significant improvement in at least one key quality metric of the brewed product after applying the recommendations.

Anomaly Detection Alerts

User Story: As a craft brewer, I want to receive alerts for any anomalies detected in my brewing process so that I can address issues immediately and maintain the quality of my beer.
Description: The Anomaly Detection Alerts requirement focuses on creating a system that detects irregularities in brewing processes or batch outcomes compared to historical data. This feature will analyze brewing parameters in real-time and notify brewers when metrics deviate from established norms, allowing them to respond promptly to potential issues. Alerts will be customizable based on user preferences and can cover a range of parameters such as fermentation duration, alcohol content, and pH levels. This functionality enhances quality control measures and helps maintain the integrity of brews, ultimately minimizing waste and reducing the risk of producing sub-par products.
Acceptance Criteria: Real-time alert for fermentation duration deviation.

Given a brewing batch is in progress, when the fermentation duration exceeds the established norm by 10%, then an alert is generated and sent to the brewer via the Foamly mobile app.

Customizable alert parameters for pH level changes.

Given a user accesses the customization settings, when they define a pH level threshold that deviates from the norm, then the system should save these settings and activate alerts when pH levels exceed or fall below the specified threshold during active brewing.

Comprehensive logging of past alerts.

Given an alert has been triggered for a brewing batch, when the alert details are recorded, then the system should log the date, time, parameter affected, and specific deviation amount for future reference and trend analysis.

User notification for alcohol content anomalies.

Given a brewing batch is active, when the alcohol content deviates from the expected range by more than 5%, then the brewer receives an immediate notification through their preferred communication channel (email/SMS/app).

Integration with Batch History Analyzer for trend reporting.

Given an alert has been triggered, when the brewer accesses the Batch History Analyzer, then they should be able to view a report of all anomalies for the last 30 batches, including corrective actions taken and outcomes.

Feedback loop for alert efficacy.

Given an alert was triggered, when the brewer addresses the issue and records corrective actions, then the system should prompt for feedback on the alert’s relevance and effectiveness to help refine future anomaly detection.

Batch Comparison Tool

User Story: As a craft brewer, I want to compare my brewing batches side by side so that I can learn from the differences and improve my future brewing processes.
Description: The Batch Comparison Tool will enable brewers to select and compare multiple batches side-by-side based on selected performance metrics or attributes. This feature will provide detailed insights into differences in ingredient ratios, brewing methods, and outcomes, assisting brewers in understanding the effects of specific changes over time. By facilitating comprehensive comparisons, this tool supports iterative learning and continuous improvement in brewing techniques. The ability to compare batches is critical for educational purposes within the brewing community and can foster collaboration and sharing of best practices among brewers.
Acceptance Criteria: As a brewer, I want to select multiple batches from the Batch History Analyzer so that I can compare their performance metrics side-by-side.

Given multiple batches selected, When the comparison is initiated, Then the system should display a side-by-side comparison of selected performance metrics such as ingredient ratios, brewing methods, and outcomes for each batch.

As a brewery manager, I want to filter batches by specific attributes (e.g., brew date, style, alcohol content) to narrow down the comparison for better insights.

Given a filter option is provided, When the user applies a filter based on specific attributes, Then only the batches meeting the filter criteria should be displayed for comparison.

As a brewer, I want to export the comparison results to a report format so I can review and share insights with my team.

Given the comparison is completed, When the user selects to export the results, Then the system should generate a report in PDF format that includes all relevant comparison metrics and insights.

As a brewer, I want to view historical changes in recipe performance across selected batches to identify which adjustments led to better outcomes.

Given batches are compared, When the recipe performance metrics for each batch are displayed, Then the system should highlight changes in ingredient ratios and methods that correlate with successful outcomes.

As a quality control officer, I want to ensure the comparison tool accurately calculates variations in key metrics to maintain consistency in our brewing process.

Given performance metrics are selected, When batches are compared, Then the system should accurately calculate and display the percentage variations in key metrics like bitterness and gravity with proper precision.

As a brewer, I want to receive tooltips or explanations for each metric in the comparison tool to enhance my understanding of the data presented.

Given the user hovers over a performance metric in the comparison view, When the tooltip is activated, Then the system should display a brief description or definition of that metric for better clarity.

As a brewer, I want to access a history of all comparisons made to revisit previous insights and decisions.

Given the user navigates to the comparison history section, When comparisons are listed, Then the user should be able to view, access, or regenerate previous comparison results.

User-defined Metrics Dashboard

User Story: As a brewery manager, I want to customize my dashboard with metrics specific to my brewing needs so that I can better monitor my operations and make informed decisions.
Description: This requirement encompasses the creation of a customizable dashboard where users can select and display key performance indicators (KPIs) relevant to their brewing processes. Users will have the ability to define which metrics are most important to them, such as efficiency rates, ingredient costs, and flavor profiles, allowing for a tailored monitoring experience. This functionality promotes user engagement and empowers brewers to focus on areas of their process that matter most, enhancing decision-making and operational efficiency. A flexible dashboard is vital for fostering a data-centric approach in brewery management.
Acceptance Criteria: User Customization of Metrics on the Dashboard

Given the user is logged into Foamly, when they navigate to the User-defined Metrics Dashboard, then they should be able to select from a list of available KPIs and customize their dashboard to display chosen metrics without any errors.

Dashboard Performance with Multiple Metrics

Given the user has customized their dashboard with multiple metrics, when the dashboard loads, then all selected metrics should display accurately and in real-time, with no delays longer than 2 seconds.

Saving Dashboard Settings

Given the user has customized their dashboard, when they click the 'Save' button, then the dashboard settings should be saved successfully, and the next time the user logs in, their preferences are retained and displayed correctly.

Accessibility of the Dashboard for Different User Roles

Given that users of different roles (e.g., brewer, manager) access the dashboard, when they log in, then they should only see metrics relevant to their role without any unauthorized access to sensitive data.

Updating Metrics in Real-Time

Given the dashboard is displaying selected metrics, when there is a change in the underlying data (e.g., a new batch is brewed), then the relevant metrics on the dashboard should update in real-time, reflecting the change without requiring a manual refresh.

User-Friendly Interface for Metric Selection

Given the user is on the metrics selection panel, when they interact with the UI to choose KPIs, then they should find it intuitive and easy to use, completing the selection process within 3 minutes.

Exporting Dashboard Data

Given the user is viewing their customized dashboard, when they select the 'Export' option, then they should be able to download their dashboard data in a specified format (e.g., CSV, PDF) without data loss.

Recipe Collaboration Tool

The Recipe Collaboration Tool allows brewing teams to share and collaboratively modify recipes in real-time. This feature fosters teamwork and idea exchange, enabling brewers to innovate and refine their offerings collectively, enhancing creativity while ensuring consistency in production.

Requirements

Real-time Recipe Editing

User Story: As a brew team member, I want to collaborate on recipe changes in real-time so that I can quickly respond to ideas and adjustments from my colleagues, ensuring we innovate effectively while maintaining recipe accuracy.
Description: The Real-time Recipe Editing requirement allows users to collaboratively modify beer recipes live within the Foamly platform. This integrates seamlessly with the existing recipe management system, enabling multiple users to make changes simultaneously while seeing updates in real-time. This functionality not only facilitates teamwork across brewing teams but also allows brewers to quickly implement new ideas and adjust measurements, grains, or hops as needed immediately, enhancing creativity and flexibility. By providing immediate visibility into changes, this improves consistency in production while fostering an engaging collaborative environment among brewers.
Acceptance Criteria: Collaborative Recipe Editing Among Brewing Team Members

Given multiple users are editing a beer recipe simultaneously, when one user modifies an ingredient or measurement, then all other users should see the updated values in real-time without needing to refresh their session.

User Permissions and Access Control for Recipe Editing

Given a brewing team consists of users with different roles (e.g., admin, brewer, guest), when an admin invites a new member, then that member should have the appropriate permissions to view and edit recipes according to their role.

Tracking Changes Made to Recipes

Given a brewing team collaborates on a recipe, when users make changes, then a comprehensive change log should be maintained that records who made each change, along with timestamps for accountability.

Conflict Resolution During Simultaneous Edits

Given two users attempt to change the same ingredient at the same time, when the second user saves their changes, then a conflict resolution prompt should appear, allowing users to choose which changes to keep or merge.

Real-time Notifications for Recipe Updates

Given multiple users are collaborating on a recipe, when one user makes an update, then all collaborators should receive real-time notifications indicating that a change has been made, ensuring transparency.

Integrating Recipe Changes with Production Schedules

Given a user has modified a recipe, when they save the changes, then those modifications should automatically sync with the production schedule to ensure all teams are using the latest recipe version.

Version Control for Recipes

User Story: As a head brewer, I want to access previous versions of our recipes so that I can restore them if the new changes do not yield the desired results, ensuring our quality standards are maintained.
Description: The Version Control for Recipes requirement ensures that brewers can track changes made to recipes over time and revert to previous versions if needed. This feature is critical for maintaining quality and consistency in production, as it allows teams to test new variations while retaining access to tried-and-true recipes. The implementation will involve creating a robust system that logs all changes, updates, and authors, and allows users to view the history of changes made, thus providing a safety net against unwanted changes and promoting accountability among team members.
Acceptance Criteria: A brewer creates a new recipe and modifies it multiple times before finalizing. Each modification must be tracked in the system, including who made the changes and when they occurred.

Given a recipe is created, when the brewer modifies the recipe, then all changes must be logged with the timestamp and the author's name, allowing users to access a complete history of modifications.

A brewing team tests a new variation of a recipe but decides to revert to an earlier version due to unsatisfactory results.

Given that a recipe has multiple versions, when the team selects a previous version to restore, then the system must correctly revert the recipe to that version and notify the users of the successful restoration.

Multiple brewers are collaborating on recipe development and need to see which changes have been made by their teammates.

Given that several team members are working on the same recipe, when a user accesses the recipe history, then the system must display all changes with the corresponding authors and timestamps for each modification made.

A brewer mistakenly introduces an error into a recipe and needs to identify when the change was made for auditing purposes.

Given a recipe has undergone changes, when the brewer views the change history, then the system must allow the user to filter by date, author, and type of change, providing a clear audit trail.

A brewing manager wants to ensure accountability within the team by reviewing who made specific changes and when.

Given the requirement for accountability, when the manager accesses the recipe's version history, then the system must display a complete log of changes, including details of the responsible authors for each modification made to the recipe.

A brewer needs to work on an older version of a recipe that has been previously modified and wants to ensure they are not working on the latest version by mistake.

Given there are multiple versions of a recipe, when a brewer views the recipe, then the system must clearly indicate which version is currently active and allow the user to select any previous version for editing or comparison.

Commenting and Feedback System

User Story: As a team member, I want to leave comments on specific recipe elements so that I can share my thoughts and suggestions with the team, contributing to our collaborative brewing process effectively.
Description: The Commenting and Feedback System requirement enables users to leave notes, suggestions, and feedback directly on recipe components or the overall recipe. This feature enhances collaboration by providing a structured way for team members to communicate their thoughts and ideas without needing separate communication tools. By integrating this directly into the recipe tool, interactions are streamlined, making it easier for brewers to engage with one another's ideas, resulting in richer collaborative discussions and better decision-making during recipe development.
Acceptance Criteria: User leaves a comment on a specific recipe ingredient.

Given a user is viewing a recipe, when they click on the ingredient, then they should see an option to add a comment and be able to post it successfully.

User views comments on a recipe to gather feedback from the team.

Given a user is reviewing a recipe, when they click on the comments section, then they should see all previously submitted comments listed in chronological order.

User edits an existing comment on a recipe component.

Given a user has submitted a comment, when they select the edit option, then they should be able to modify their comment and save the changes successfully.

User receives notifications for new comments on their recipe.

Given a user is part of a recipe team, when another user posts a comment on that recipe, then they should receive a notification alerting them of the new comment.

User deletes a comment they have posted on a recipe.

Given a user has posted a comment, when they click on the delete option, then the comment should be removed from the recipe without error.

User filters comments by specific users in a recipe.

Given a user is viewing a recipe with multiple comments, when they apply the filter by user option, then only the comments from the selected user should be displayed.

User marks a comment as helpful or unhelpful in the feedback system.

Given a user is viewing comments on a recipe, when they click the helpful or unhelpful button next to a comment, then the comment should reflect the user's action and count should be updated accordingly.

Real-time Ingredient Cost Tracking

User Story: As a brewer, I want to see real-time costs of ingredients in my recipe so that I can manage our budget effectively while being creative with our brewing.
Description: The Real-time Ingredient Cost Tracking requirement allows users to see the current costs of ingredients as they modify recipes. This will provide an updated overview of the financial implications of changes made, helping teams ensure that they stay within budget while experimenting with new flavors and brewing techniques. By integrating live cost data, brewers can make informed decisions about ingredient choices, ultimately supporting the overall profitability of their brews while encouraging experimentation with cost efficiency in mind.
Acceptance Criteria: Real-time Ingredient Cost Visibility for Recipe Modifications

Given a brewing team member is modifying a recipe, when they add or remove an ingredient, then the system displays the updated ingredient cost in real-time to ensure they can compare costs instantly.

Budget Tracking During Recipe Collaboration

Given a brewing team is collaborating on a recipe, when they input ingredient changes, then the cumulative cost of selected ingredients must be displayed alongside a predefined budget limit for the recipe.

Historical Cost Analysis for Ingredients

Given a user accesses the Recipe Collaboration Tool, when they view a recipe, then they should be able to see historical cost trends for each ingredient over the past three months for informed decision-making.

Alerts for Exceeding Budget During Recipe Adjustments

Given a brewing team member is modifying a recipe, when the total ingredient cost exceeds the specified budget, then the system must trigger an alert to notify the user and enforce budget adherence.

Ingredient Cost Source Verification

Given the ingredient cost tracking feature, when a user accesses the cost details of an ingredient, then the system must provide a source URL for verification of cost data to ensure transparency.

Multi-Currency Support for Ingredient Costs

Given a user is part of a brewing team that operates internationally, when they view ingredient costs, then the system should accurately convert and display costs in the user’s preferred currency.

Recipe Sharing Capabilities

User Story: As a head brewer, I want to share our unique brewing recipes with our suppliers safely so that we can work together to enhance our brew quality and ingredient sourcing.
Description: The Recipe Sharing Capabilities requirement allows users to share recipes with external partners or within different teams securely. This feature will enable brewers to collaborate with suppliers or showcase successful recipes during team meetings without compromising sensitive information. Implementing this will involve creating a secure link system that limits access to authorized users while allowing for easy sharing and collaboration, fostering better relationships and partnerships outside of the immediate brewing team.
Acceptance Criteria: Secure Recipe Sharing with External Partners

Given a user has a finished recipe, when they generate a sharing link, then the link should be accessible only to authorized users and must expire after 30 days.

Collaborative Recipe Modification in Real-Time

Given multiple users are working on the same recipe, when one user makes a change, then all other users should see the modification in real-time without delay.

Recipe Viewing Permissions by Team Role

Given a user with team role permissions, when they access a shared recipe, then they should see all ingredients and instructions unless access is specifically restricted based on their role.

Audit Trail for Recipe Changes

Given a recipe that has been modified, when an authorized user views the recipe history, then they should see a complete log of all changes made, including timestamps and user identities.

Secured Access for Sensitive Recipe Details

Given a recipe includes sensitive information, when a user shares the recipe link, then sensitive details should only be visible to users with the highest clearance level.

User Notifications for Shared Recipe Updates

Given a user is part of a collaborative recipe team, when a recipe is updated, then they should receive an automatic notification via email regarding the changes.

Testing the Efficiency of Sharing Links via Different Platforms

Given a generated sharing link for a recipe, when accessed from various platforms (desktop, mobile, etc.), then the link should successfully open without errors on all platforms.

Notification System for Changes

User Story: As a brew team member, I want to receive notifications when recipes are updated so that I can stay informed about changes that could affect our production timelines, ensuring our work remains aligned.
Description: The Notification System for Changes requirement sends alerts to relevant team members whenever a recipe is edited or commented on. This ensures that all team members are kept up-to-date with the latest changes, preventing confusion and missed communications. The notifications can be customized for each user based on their preferences, helping to create an efficient workflow where everyone is informed about modifications in real-time without having to constantly check the platform.
Acceptance Criteria: User receives a notification when a recipe is edited by another team member.

Given a user is actively working on a recipe, when another team member edits that recipe, then the user should receive a real-time notification about the edit.

User receives notifications for comments made on a recipe they are following.

Given a user has opted to follow a recipe, when a comment is added to that recipe by any team member, then the user should receive an alert regarding the new comment.

User can customize their notification preferences for recipe changes.

Given a user accesses their notification settings, when they customize their preferences, then the system should save these settings and apply them to future notifications about recipe changes.

Admin can view a log of all notifications sent to team members.

Given an admin is on the notification management page, when they request the notification log, then the system should display a comprehensive list of all notifications sent including timestamps and users notified.

User is notified about recipe changes on multiple devices.

Given a user has the Foamly application installed on multiple devices, when a recipe change occurs, then the user should receive notifications on all devices synchronously.

Notifications can be sent via email for recipe changes.

Given a user has enabled email notifications in their settings, when a recipe is edited or commented on, then an email alert should be sent to the user’s registered email address.

Notification system allows users to mute notifications for specific recipes.

Given a user is viewing a recipe, when they select the option to mute notifications, then they should no longer receive any alerts for changes related to that recipe until the mute option is disabled.

Predictive Flavor Enhancements

Utilizing AI, Predictive Flavor Enhancements forecasts how modifications to certain ingredients will affect the overall flavor profile of a beer. This feature guides brewers in making precise adjustments before brewing, ensuring high-quality outcomes and reducing the risk of undesirable results.

Requirements

Ingredient Impact Analysis

User Story: As a brewer, I want to understand how changes to the ingredients will affect the flavor of my beer so that I can create consistent and high-quality brews without unnecessary waste.
Description: The Ingredient Impact Analysis requirement focuses on providing brewers with detailed forecasts of how specific ingredient modifications will influence the beer's flavor profile. This feature should leverage AI to analyze data from previous brewing batches and ingredient combinations, generating predictive models that guide ingredient selection. By integrating seamlessly with Foamly's existing analytics tools, this requirement aims to empower brewers to make informed decisions that align with their desired flavor outcomes. The expected outcome is reduced trial-and-error in the brewing process, leading to more predictable and desirable flavors in the final product.
Acceptance Criteria: A brewer is modifying a batch recipe by changing the hop variety to achieve a different aroma profile. The brewer uses the Ingredient Impact Analysis feature to predict how this change will affect the overall flavor profile before proceeding with the brewing process.

Given the brewer inputs the new hop variety and the existing recipe parameters, when the analysis is run, then the system should generate a predictive flavor profile that accurately reflects the expected changes in aroma and bitterness.

After conducting several brewing sessions, the brewer wants to understand how different malt combinations influenced the previous batches' flavor profiles. The Ingredient Impact Analysis feature should provide insights based on historical data.

Given the brewer selects previous batches and malt combinations, when the analysis is executed, then the system should present a comparative report highlighting flavor alterations and their correlations with ingredient changes.

A brewer plans to experiment with a new yeast strain and wants to see how this will impact the final beer flavor before brew day. The brewer utilizes the Ingredient Impact Analysis to guide their decision.

Given the brewer selects the new yeast strain along with the other existing ingredients, when the predictive model is generated, then the system should display an estimated flavor profile including potential off-flavors that may arise from the ingredient interaction.

The brewing team needs to quickly review the impact of ingredient changes on brewing quality and consistency. They rely on the Ingredient Impact Analysis for quick decision-making during the planning phase.

Given the team requests a quick analysis of multiple ingredient combinations, when the analysis tool is accessed, then the system should allow simultaneous input of ingredients and return an aggregated impact report on flavor quality and brewing consistency within 30 seconds.

A new brewer is learning to use the Ingredient Impact Analysis feature. They need a user-friendly guide that outlines how to input ingredients and interpret the predictive results effectively.

Given the new brewer accesses the Ingredient Impact Analysis feature, when they open the user guide, then it should provide an easy-to-follow walkthrough for inputting ingredients and understanding the resulting flavor predictions with visual aids.

The marketing team aims to launch a new beer style based on predictive analytics. They want to ensure the flavor profile aligns with market trends identified from the Ingredient Impact Analysis.

Given the marketing team provides target flavor profiles, when the brewer inputs the relevant ingredients, then the system should indicate whether the predicted flavor aligns with the identified market trends, along with suggestions for adjustments.

An existing customer reflects on the efficacy of the integrated analytics from the Ingredient Impact Analysis in enhancing their brewing process over several months.

Given the customer submits feedback through the user feedback form, when the brewing process success metrics are evaluated, then the system should demonstrate at least a 20% improvement in flavor consistency post-implementation of the Ingredient Impact Analysis feature.

Real-time Flavor Profile Feedback

User Story: As a brewer, I want to receive real-time feedback on the flavor profile of my beer while brewing so that I can make adjustments on the fly and ensure the best possible quality.
Description: The Real-time Flavor Profile Feedback requirement enables brewers to receive immediate feedback on the flavor profile of a beer during the brewing process. This feature utilizes data collected from sensors and spectrometers to compare the current brew's characteristics to the predicted outcomes generated by the AI models. By providing accurate, real-time adjustments and suggestions for ingredient modifications, this feature enhances the brewers’ ability to achieve the intended flavor profile. The integration with existing quality control measures within Foamly will streamline the brewing process and improve overall product quality.
Acceptance Criteria: Brewer receives real-time flavor feedback after inputting the initial ingredient quantities into Foamly before brewing starts.

Given the brewer inputs ingredient quantities, when the brewing process begins, then Foamly displays the predicted flavor profile and any necessary adjustments based on real-time data from sensors.

During the brewing process, the brewer monitors the flavor profile adjustments suggested by Foamly.

Given the brewing is in progress, when the actual flavor data is collected, then Foamly provides real-time feedback and shows the comparison to the predicted outcomes alongside suggestions for any ingredient modifications needed to meet the target profile.

Brewer reviews the effectiveness of the real-time feedback after completing a batch of beer using Foamly.

Given the batch has been completed, when the brewer reviews the historical flavor profile data, then Foamly should display a report detailing the accuracy of predictions and any ingredient modifications made throughout the brewing process, along with the final flavor assessment of the beer.

Brewer adjusts ingredient quantities based on Foamly's suggestions during the brewing process.

Given that Foamly provides ingredient modification suggestions, when the brewer opts to adjust ingredient quantities, then the system should update the predicted flavor profile instantly to reflect these changes and provide new feedback based on the modified ingredients.

Integration of real-time feedback into existing quality control measures in Foamly.

Given that the quality control measures are set up within Foamly, when real-time flavor profile data is recorded, then the system should automatically integrate this data into the quality control logs for future reference and analysis.

Brewer tests the accuracy of the real-time flavor profile predictions for different beer styles.

Given the brewer selects various beer styles for brewing, when the parameters of each style are inputted, then Foamly should accurately predict flavor profiles and provide tailored adjustments for each style in real time throughout the brewing process.

Flavor Profile Comparison Tool

User Story: As a brewer, I want to compare the predicted flavor profiles of different recipes so that I can choose the best combination of ingredients for my next brew.
Description: The Flavor Profile Comparison Tool requirement allows brewers to compare the predicted flavor profiles of different ingredient combinations side by side. This feature should include a visual representation that highlights the potential flavor notes, bitterness, sweetness, and overall balance of the proposed recipes. By aiding in recipe formulation, this tool enhances brewers' creativity and decision-making process, allowing them to experiment while minimizing the risk of unsuccessful batches. Integration with Foamly's recipe management system will provide a comprehensive overview of past brews and their outcomes.
Acceptance Criteria: Brewer wants to compare different ingredient combinations for a new beer recipe to ensure optimal flavor impact.

Given a selection of at least two ingredient combinations, When the brewer uses the Flavor Profile Comparison Tool, Then the tool must display a side-by-side comparison of the predicted flavor profiles, including detailed flavor notes, bitterness, sweetness, and overall balance.

Brewer requires historical data to inform their recipe adjustments for a new brew.

Given that the brewer selects an ingredient combination and accesses previous brews, When the historical brews are displayed, Then the Flavor Profile Comparison Tool must include relevant data points showing past successful and unsuccessful batches associated with those ingredients.

Brewer needs to evaluate the visual representation of flavor profiles before making final ingredient decisions.

Given that a comparison of at least two recipes is displayed, When the brewer views the visual representation of the flavor profiles, Then the tool must clearly illustrate the flavor notes with color-coded indicators for bitterness, sweetness, and balance, facilitating easy interpretation.

Brewer wants to save the comparison results for future reference and collaboration with team members.

Given that a comparison session is completed, When the brewer opts to save the comparison results, Then the Flavor Profile Comparison Tool must allow saving of the results with an option to add notes, and provide a unique reference ID for future access.

Brewer is conducting a taste test based on the predictions provided by the tool and wants to verify if the predictions were accurate post-brew.

Given that the brewing process is completed, When the brewer conducts a taste test on the final product, Then they must be able to compare the actual flavor profile with the predicted outcome from the Flavor Profile Comparison Tool to assess accuracy and make informed adjustments for future brews.

Brewer wants to access the Flavor Profile Comparison Tool on multiple devices during the brewing process.

Given the brewer is logged into Foamly, When they access the Flavor Profile Comparison Tool on different devices (desktop, tablet, mobile), Then the tool must maintain full functionality and display consistent data across all platforms without loss of information or controls.

Brewer aims to integrate feedback from taste testers into the comparison tool for future recipe developments.

Given that the brewer has gathered feedback from taste testers, When they input this feedback into the Flavor Profile Comparison Tool, Then the tool must process the feedback and suggest potential adjustments to the ingredient combinations based on the testers' insights.

Automated Adjustments Recommendation

User Story: As a brewer, I want the system to automatically suggest adjustments to my recipe during the brewing process so that I can improve the final beer quality without extensive manual calculations.
Description: The Automated Adjustments Recommendation requirement focuses on creating a feature that automatically suggests adjustments to brewing recipes based on real-time data analysis and predicted flavor outcomes. This functionality will analyze variables such as temperature, fermentation conditions, and ingredient usage to provide optimal recipe modifications. The objective is to minimize manual input and enhance brewing consistency while ensuring that flavor profiles meet anticipated standards. Seamless integration with Foamly's production scheduling system will allow for efficient planning of adjusted brewing processes.
Acceptance Criteria: Brewer initiates a new batch of beer production in Foamly and wishes to receive automatic adjustments based on current fermentation conditions.

Given the current fermentation conditions of the batch, When the brewer saves the recipe, Then Foamly should automatically analyze the data and suggest necessary adjustments to the ingredients and brewing process to optimize the flavor profile.

Brewer inputs historical data into Foamly to improve future production, requiring automated recipe adjustment suggestions.

Given the historical brewing data is available in Foamly, When the brewer inputs a new recipe that relates to past batches, Then Foamly should analyze the data and suggest up to three potential adjustments based on successful past outcomes.

Brewer receives real-time alerts during production that indicate suboptimal brewing conditions, prompting adjustments.

Given that the brewing process is actively monitored, When Foamly detects a deviation from the optimal fermentation temperature, Then it should notify the brewer and provide specific recommendations for ingredient adjustments to rectify the issue.

The brewer is preparing for a new brewing schedule and needs to know the effects of altering ingredient ratios on the final flavor.

Given the brewer has selected ingredients for the brewing process, When the brewer requests flavor impact analysis, Then Foamly should provide a comparative analysis of the predicted flavor outcomes based on proposed ingredient modifications within 5 minutes.

A brewery owner wants to ensure that the proposed recipe modifications do not exceed budgetary constraints while maintaining flavor quality.

Given a budget is set for the brewing process, When Foamly suggests adjustments to the recipe, Then the recommendations should include a cost analysis ensuring the total cost does not exceed the set budget while optimizing flavor quality.

A brewing team is preparing a seasonal beer that requires consistent flavor from batch to batch based on market trends.

Given the market trends and seasonal data are available in Foamly, When the brewing team checks the recommended adjustments, Then Foamly should align its suggestions with the identified trends to maintain consistent flavor profiles across batches.

Historical Data Correlation

User Story: As a brewer, I want to analyze historical data from my previous brews to understand flavor outcomes so that I can improve future recipes and make data-driven decisions.
Description: The Historical Data Correlation requirement involves building a feature that correlates historical brewing data with flavor profile outcomes. By analyzing past batches and their resulting flavors, this feature will enable brewers to understand which ingredients contributed positively or negatively to their brews. This comprehensive data analysis will enhance the predictive capabilities of Foamly, allowing brewers to refine their recipes over time based on empirical evidence. The integration with Foamly's analytics dashboard will provide easy access to this historical insight, ensuring continuous improvement in brewing processes.
Acceptance Criteria: Brewer accesses historical data to analyze previous batches for ingredient impact on flavor profile.

Given the brewer is analyzing a batch, when historical brewing data is accessed, then the data must accurately reflect past ingredient combinations and their corresponding flavor profiles.

Brewer modifies ingredient quantities based on insights from historical data correlation.

Given a brewer is adjusting their recipe, when they modify an ingredient's quantity, then the system must provide predicted flavor outcomes based on historical data correlations.

Brewer reviews the analytics dashboard for insights on ingredient performance over time.

Given the brewer is on the analytics dashboard, when they view the ingredient performance chart, then it must display a clear correlation between ingredients and flavor results for at least the last five batches.

Brewer wants to save a modified recipe for future use after analyzing historical data.

Given a brewer has modified a recipe, when they choose to save it, then the recipe must be saved along with metadata that includes the date of modification and historical data insights.

Brewer analyzes the impact of a new ingredient on the flavor profile using historical data.

Given the brewer is considering a new ingredient, when they consult the historical data correlation feature, then it must show the expected impact based on similar ingredients' past performances.

Brewer tests the predictive capability of the flavor enhancement feature before brewing.

Given a brewer is ready to brew, when they select ingredients to brew, then the predictive flavor enhancement feature must generate a forecasted flavor profile with a confidence score based on historical data.

Brewer identifies trends in flavor outcomes from historical data over multiple batches.

Given a brewer has data from at least ten batches, when they analyze the trends in flavor outcomes, then the system must highlight any consistent patterns or anomalies in flavor profiles associated with specific ingredient changes.

Sustainability Impact Assessment

This feature evaluates the environmental impact of proposed recipe adjustments by analyzing ingredient sourcing and resource usage. It helps brewers make choices that not only optimize flavor but also align with their sustainability goals, promoting eco-friendly practices in brewing.

Requirements

Ingredient Impact Analysis

User Story: As a brewer, I want to analyze the environmental impact of each ingredient in my recipes so that I can make sustainable choices that reduce my brewery's carbon footprint.
Description: This requirement involves creating an algorithm that evaluates the environmental impact of each ingredient used in a recipe, considering factors like carbon footprint, water usage, and sourcing practices. This analysis will provide brewers with insights into how their choices affect sustainability and guide them in selecting ingredients that align with eco-friendly standards. By integrating this analysis into the Foamly platform, brewers can make informed decisions that enhance taste while minimizing environmental harm.
Acceptance Criteria: Ingredient Impact Analysis for Recipe Modifications

Given a brewer selects a recipe and makes ingredient substitutions, When the analysis is triggered, Then the system should return an environmental impact report detailing changes in carbon footprint, water usage, and sourcing practices for the modified recipe.

Comparison of Multiple Ingredients

Given a brewer is evaluating multiple potential ingredients for a recipe, When they input these ingredients into the system, Then the algorithm should provide a comparative analysis highlighting the sustainability metrics for each option, allowing the brewer to choose the most eco-friendly ingredient.

Display of Sustainability Metrics

Given that a recipe has been analyzed, When the results are generated, Then the system should display a dashboard with visual representations of sustainability metrics, including graphs for carbon emissions, water usage, and an overall sustainability score.

User-Friendly Interface for Ingredient Analysis

Given that a brewer accesses the ingredient impact analysis feature, When the user navigates through the options, Then the interface should be intuitive and allow for easy selection, input, and export of analysis results to facilitate user engagement.

Integration with Existing Recipes

Given that the Foamly platform has a catalog of existing recipes, When a recipe is selected for impact analysis, Then the system should automatically retrieve all relevant ingredient data to provide an accurate sustainability impact assessment without manual input from the user.

Historical Data Evaluation

Given that a brewer wants to assess past ingredient choices, When the impact analysis is conducted on historical recipes, Then the system should generate a report summarizing the sustainability impact of those choices, informing future decisions.

Resource Utilization Tracker

User Story: As a craft brewer, I want to track my resource usage in real-time so that I can identify waste and optimize my brewing process to be more sustainable.
Description: This requirement focuses on developing a tracking system that monitors the use of resources (water, energy, etc.) throughout the brewing process. By collecting data on resource consumption at each stage of production, brewers can identify inefficiencies, reduce waste, and optimize resource usage. This capability will empower brewers to set targets for reduction and improve their sustainability metrics, enhancing their overall operating efficiency.
Acceptance Criteria: Resource Utilization Report Generation

Given that a brewer has configured resource tracking for their brewing process, when they choose to generate a report, then the report should accurately reflect the total water, energy, and other resources consumed during the production run, broken down by each stage of the brewing process.

Real-time Resource Monitoring

Given that the resource utilization tracker is implemented, when the brewing process is underway, then the system should display real-time data on resource consumption on a dashboard, allowing brewers to monitor usage dynamically.

Historical Resource Utilization Analysis

Given that historical data has been collected for multiple brewing batches, when a brewer selects a specific batch for review, then the system should provide insights into resource usage patterns and recommend efficiency improvements based on the data.

Resource Usage Alerts

Given that the resource utilization tracker is active, when resource consumption exceeds predefined thresholds, then the system should trigger an alert to notify the brewer, enabling them to take corrective actions.

Integration with Sustainability Goals

Given that the brewer has set sustainability targets, when resource utilization data is analyzed, then the system should provide feedback on whether the resource usage aligns with the set sustainability goals, indicating areas for improvement.

User-friendly Interface for Resource Input

Given that a new brewing recipe is being entered, when the brewer inputs resource details (water, energy, etc.), then the interface should allow for easy entry and provide suggestions based on previous brews to enhance accuracy.

Multi-user Access and Permissions

Given that a brewery has multiple users, when they access the resource utilization tracker, then permissions should allow specific team members to view or edit resource data based on their roles, ensuring data integrity and security.

Sustainability Reporting Dashboard

User Story: As a brewery manager, I want a dashboard that displays my sustainability metrics so that I can track our progress and share our achievements with stakeholders and customers.
Description: The requirement entails creating a comprehensive dashboard that aggregates sustainability metrics based on ingredient sourcing, resource use, and brewing practices. This dashboard will allow brewers to visualize their sustainability data and track progress towards their environmental goals. By providing insights through charts and reports, brewers can communicate their sustainability efforts to stakeholders and customers, enhancing transparency and accountability.
Acceptance Criteria: Dashboard displays real-time sustainability metrics.

Given the user is on the Sustainability Reporting Dashboard, when they refresh the page, then the dashboard should show the latest sustainability metrics aggregated from ingredient sourcing and resource usage.

Visualization of sustainability data in the dashboard.

Given the user has selected sustainability metrics, when they view the dashboard, then the selected metrics should be represented in visual formats, such as graphs and charts, that are easy to interpret.

Downloadable sustainability reports for stakeholders.

Given the user is on the Sustainability Reporting Dashboard, when they request to download a report, then the system should generate a PDF report that includes all selected metrics and visualizations.

Comparative analysis of sustainability over time.

Given the user is on the Sustainability Reporting Dashboard, when they select a date range, then the dashboard should display trends in sustainability metrics over that period, highlighting improvements or declines in performance.

User-friendly interface for navigating sustainability metrics.

Given the user is accessing the dashboard for the first time, when they explore the interface, then they should find it intuitive, with tooltips and explanations for each metric clearly displayed.

Integration with existing brewing practices for accurate metrics.

Given the user has updated their brewing practices in Foamly, when they view the Sustainability Reporting Dashboard, then it should reflect these updates in the sustainability metrics accurately and in real-time.

Recipe Suggestions for Sustainable Practices

User Story: As a brewer, I want to receive suggestions for modifying my recipes to be more sustainable without compromising on taste so that I can create delicious beer in an environmentally responsible way.
Description: This requirement involves developing a feature that recommends recipe adjustments based on sustainability assessments. The system will suggest alternative ingredients or methods that maintain or enhance flavor while reducing environmental impact. By providing actionable insights, this feature will help brewers innovate their recipes sustainably, encouraging them to experiment while adhering to eco-friendly practices.
Acceptance Criteria: Brewer reviews a recipe and wants to enhance its environmental sustainability while maintaining flavor.

Given a selected recipe, when the brewer accesses the Sustainability Impact Assessment, then the system suggests at least three alternative ingredients or methods that improve sustainability without compromising taste.

Brewer implements a recommended recipe adjustment and monitors the results.

Given that the brewer has implemented one of the suggested recipe adjustments, when the brewing process is completed, then the brewer receives a report detailing the sustainability metrics achieved compared to the original recipe.

Brewer explores various recipes to view their sustainability impacts before brewing.

Given a list of recipes, when the brewer selects a recipe, then the system displays a visual summary of its sustainability impact including sourcing, resource usage, and potential adjustments.

Brewer seeks guidance on integrating sustainable practices into their brewing process.

Given a request for guidance, when the brewer accesses the suggestion interface, then the system provides actionable insights tailored to their brewing operations and current ingredient inventory.

Brewer compares multiple recipes to make a choice that favors sustainability.

Given multiple recipes under consideration, when the brewer selects the sustainability comparison feature, then the system highlights the environmental impact for each recipe and suggests the most sustainable option.

Brewer wants to save a modified recipe for future use after assessing its sustainability.

Given that the brewer has made adjustments to a recipe, when the brewer chooses to save the modified recipe, then the system allows the brewer to store the recipe with its sustainability assessment for later reference.

Sustainability Certification Integration

User Story: As a brewery owner, I want a system that helps me apply for sustainability certifications so that my brewery can be recognized for its commitment to environmentally responsible practices.
Description: This requirement focuses on integrating a system that facilitates the application process for sustainability certifications relevant to the brewing industry. It will provide brewers with resources and checklists based on their sustainability practices, making it easier to achieve and maintain certifications. This integration helps promote environmentally friendly practices within the industry and supports brewers in showcasing their commitment to sustainability.
Acceptance Criteria: Brewery staff member accesses the Sustainability Certification Integration feature to review requirements for sustainability certifications applicable to their brewery and identify missing elements in their practices.

Given the brewery staff member has logged into Foamly, When they navigate to the Sustainability Certification Integration section, Then they should see a comprehensive checklist of all relevant sustainability certifications and the specific practices needed to achieve them, with clear indications of what is already being met and what needs improvement.

A brewer uses the resource library within the Sustainability Certification Integration to find specific documentation on sustainability certifications relevant to their state.

Given the brewer is on the Sustainability Certification Integration page, When they search for certifications by state, Then they should receive a list of applicable sustainability certification programs along with links to detailed guidelines and resources for each one.

The brewery team wants to track their progress in obtaining sustainability certifications through the integration feature.

Given the brewery staff member accesses the Certification Tracking Dashboard, When they view their certification progress, Then they should see a visual representation of their current status, including completed actions, pending actions, and deadlines for sustainability certifications.

A brewer submits an application for a sustainability certification using the information and templates provided by the Sustainability Certification Integration feature.

Given the brewer has completed all necessary information in the application form, When they click on submit, Then a confirmation message should appear indicating that their application has been successfully submitted, and a copy of the application should be stored in their Foamly account for future reference.

The brewery management wants to ensure that all employees are aware of the Sustainability Certification Integration features and how to use them effectively.

Given a training session is scheduled, When employees attend the training on the Sustainability Certification Integration, Then they should be able to demonstrate the ability to navigate the integration, utilize the resources provided, and explain the steps required for obtaining sustainability certifications.

A brewery seeks to evaluate the effectiveness of the Sustainability Certification Integration feature in enhancing their sustainability practices.

Given the brewery has implemented the Sustainability Certification Integration for six months, When they review their resource usage and waste reduction metrics, Then they should see measurable improvements in sustainability metrics as compared to the previous six months' data prior to implementation.

Seasonal Recipe Generator

The Seasonal Recipe Generator suggests unique beer recipes based on seasonal ingredients and brewing trends. This feature helps brewers remain competitive by adapting to changing market demands while promoting the use of local, in-season products for enhanced freshness and flavor.

Requirements

Seasonal Ingredient Database

User Story: As a brewer, I want access to a seasonal ingredient database so that I can easily find and utilize fresh, local ingredients in my beer recipes, enhancing the quality and uniqueness of my products.
Description: The Seasonal Ingredient Database requirement involves creating a comprehensive database that holds information about seasonal ingredients available in different regions throughout the year. This database will allow brewers to easily identify local, in-season items and form the foundation for the Seasonal Recipe Generator feature. It should include details such as ingredient type, flavor profiles, harvest times, and sourcing options. This will not only enhance the relevance of generated recipes but also promote the use of fresh, local ingredients, ultimately resulting in unique and appealing beer offerings that cater to consumer preferences. Integration with existing inventory management systems is critical to ensure real-time updates and optimization of ingredient usage, which will contribute to cost savings and reduced waste in production processes.
Acceptance Criteria: Brewer accessing the Seasonal Ingredient Database to find local ingredients for their upcoming seasonal beer recipe.

Given that the brewer is logged into Foamly, when they navigate to the Seasonal Ingredient Database, then they should see a list of regional seasonal ingredients with detailed information on type, flavor profiles, harvest times, and sourcing options.

Brewer utilizing the Seasonal Ingredient Database to create a new beer recipe using local seasonal ingredients.

Given that the brewer has selected seasonal ingredients from the database, when they initiate the Seasonal Recipe Generator, then the system should suggest unique beer recipes that include the selected seasonal ingredients and highlight their impact on flavor and quality.

System updates to the Seasonal Ingredient Database based on new market trends or ingredient availability.

Given that new seasonal ingredients become available or existing ingredients change in availability, when these changes are entered into the system, then the updates should reflect in the Seasonal Ingredient Database within 24 hours, ensuring that brewers have access to the latest information.

Brewer querying the Seasonal Ingredient Database for ingredients available in their region during a specific season.

Given that the brewer specifies a season and region, when they query the Seasonal Ingredient Database, then they should receive accurate results showing only those ingredients that are in season and available in that specific region.

Integration of the Seasonal Ingredient Database with existing inventory management systems to ensure accurate tracking of ingredient usage.

Given that the Seasonal Ingredient Database is integrated with the brewery’s inventory management system, when a brewer uses an ingredient from the database, then the usage should automatically update the inventory count in real-time.

User feedback mechanism for improving the Seasonal Ingredient Database.

Given that brewers have accessed the Seasonal Ingredient Database, when they submit feedback regarding missing information or inaccuracies, then the system should log the feedback and notify the admin for review within 48 hours.

Recipe Suggestion Algorithm

User Story: As a brewer, I want an intelligent recipe suggestion algorithm that generates innovative beer recipes based on local ingredients and market trends so that I can stay competitive and create unique offerings that resonate with consumers.
Description: The Recipe Suggestion Algorithm requires the development of a robust algorithm that analyzes the data from the Seasonal Ingredient Database and current brewing trends to generate unique beer recipes automatically. This algorithm should consider factors such as flavor compatibility, brewing techniques, and consumer preferences based on market analysis. By utilizing machine learning, the algorithm can improve its suggestions over time, ensuring that recommended recipes remain relevant and appealing to customers. The implementation of this algorithm will help brewers stay competitive in a quickly evolving market while enhancing their creativity and efficiency in product development. The user should be able to customize the parameters for suggested recipes to align with specific brewing goals, making this feature highly adaptable.
Acceptance Criteria: Brewery user wants to generate a new seasonal beer recipe using the Seasonal Recipe Generator feature after selecting a set of seasonal ingredients from the database and adjusting preferences for flavor and style.

Given that the user has selected seasonal ingredients and defined their brewing preferences, when they submit the request for a recipe, then the system should return a list of at least three viable beer recipes that align with the selected parameters.

A brewery user wishes to customize the parameters for the seasonal recipe output to reflect their current brewing techniques and consumer preferences while ensuring compliance with quality standards.

Given that the user has adjusted the recipe parameters for brewing techniques and consumer preferences, when the user generates a recipe, then the algorithm should incorporate these parameters, and at least 80% of the generated recipes should satisfy the user's customized criteria.

The brewery wants to evaluate the performance of the Recipe Suggestion Algorithm over a series of iterations to assess its ability to improve recipe relevance and customer satisfaction based on market trends.

Given that the Recipe Suggestion Algorithm has been running for multiple iterations, when the performance metrics are analyzed, then the algorithm should show a 15% improvement in recipe relevance ratings and a user satisfaction score of 4 out of 5 over the last six months.

A user of Foamly accesses the Seasonal Recipe Generator to explore new recipes based on the latest brewing trends and seasonal ingredients to stay competitive in the market.

Given the latest brewing trends and seasonal ingredients are fed into the algorithm, when the user requests new recipe suggestions, then the system should display recipes that utilize at least two trending brewing techniques per seasonal ingredient listed.

The brewing team wants to test the Recipe Suggestion Algorithm to ensure that it provides recipes that are feasible to brew in their facility.

Given that the brewing team has provided their production capacity and equipment details, when the algorithm generates a new recipe, then 100% of the generated recipes should comply with the brewery's brewing capacities and available equipment.

A brewery user wants to verify that the Seasonal Recipe Generator can consistently produce unique recipes with diverse flavor profiles based on supplied ingredient combinations.

Given a selection of five different seasonal ingredients, when the user requests recipe suggestions, then the algorithm should produce at least three unique recipes, each featuring a distinct flavor profile and technique variances.

User-Friendly Recipe Interface

User Story: As a brewer, I want a user-friendly interface that allows me to view and customize seasonal beer recipes easily so that I can quickly adapt my brewing process and maintain a high level of product quality.
Description: The User-Friendly Recipe Interface requirement encompasses the design and development of an intuitive interface where brewers can easily view, select, and customize recommended seasonal beer recipes. It should provide clear visuals, step-by-step instructions, and options for ingredient substitution based on availability, encouraging brewers to experiment while ensuring they can create recipes with confidence. This interface must be seamlessly integrated into the existing Foamly application to provide a consistent user experience, ensuring easy navigation and quick access to vital information. User feedback mechanisms should also be implemented to continuously improve the interface based on user interactions and preferences, thus enhancing overall user satisfaction and product adoption.
Acceptance Criteria: Brewer accessing the Recipe Interface to view seasonal recipes available for the current month.

Given the user is logged into the Foamly application, when they navigate to the Recipe Interface, then they should see a list of seasonal recipes that are curated for the current month, displayed with images and brief descriptions.

Brewer customizing a selected seasonal recipe by substituting ingredients based on availability.

Given a brewer has selected a seasonal recipe, when they click on the 'Customize' button, then they should be presented with a list of alternative ingredients with visual indicators for substitutable options, allowing them to modify the recipe easily.

Brewer following step-by-step instructions to brew a selected recipe.

Given a brewer has chosen a seasonal recipe, when they access the recipe details, then they should see clear, sequential instructions displayed for each stage of the brewing process, including, but not limited to, preparation, fermentation, and bottling steps.

User feedback mechanism for the Recipe Interface is functioning correctly.

Given the user has brewed a recipe using the Recipe Interface, when they access the feedback submission option, then they should be able to easily submit their suggestions or comments, which should be collected in the admin dashboard for review.

Brewer navigating through the Recipe Interface for the first time.

Given a new user is visiting the Recipe Interface for the first time, when they log in, then they should be greeted with a user-friendly tutorial overlay explaining the main features of the interface, ensuring they understand how to navigate effectively.

Recipe display is responsive across different devices.

Given a brewer accesses the Recipe Interface from a mobile device, when they view the seasonal recipes, then the interface should adapt to the smaller screen size without losing functionality or readability.

Market Trend Analytics

User Story: As a brewer, I want access to market trend analytics so that I can understand consumer preferences and industry trends, allowing me to create relevant and appealing beer recipes that meet market demand.
Description: The Market Trend Analytics requirement focuses on the implementation of analytics tools that monitor brewing industry trends, consumer preferences, and competitive analysis over time. These analytics will provide brewers with insights into popular styles, flavors, and seasonal demand patterns, assisting them in making informed decisions regarding recipe development and marketing strategies. The collected data should be visualized in an easily digestible format within the Foamly platform, allowing brewers to identify opportunities and adapt quickly to market shifts. This real-time insight will foster data-driven decision-making in breweries, enhancing their ability to innovate and stay ahead in the competitive landscape.
Acceptance Criteria: Viewing Market Trends over Time

Given that the user has accessed the Market Trend Analytics dashboard, when they select a specific time frame (e.g., last month, last quarter), then the dashboard displays visual representations (charts/graphs) of industry trends, consumer preferences, and competitive analytics for that period, accurately reflecting data collected during that time.

Identifying Popular Beer Styles

Given that the user is on the Market Trend Analytics dashboard, when they filter the data by top-selling beer styles, then the system presents a ranked list of beer styles with corresponding sales data and consumer preference metrics for the chosen timeframe.

Visualizing Seasonal Demand Patterns

Given that the user has selected 'Seasonal Analysis' on the dashboard, when they view the seasonal demand data, then the system should provide clear visualizations (like heat maps) indicating high and low demand periods for different beer styles based on historical sales data.

Receiving Recommendations for Recipe Development

Given that the user is observing the Market Trend Analytics results, when they identify a rising trend in a specific beer style or flavor, then the system suggests at least three corresponding recipe ideas that utilize seasonal ingredients aligned with the identified trend.

Comparing Competitor Performance

Given that the user accesses the competitive analysis section, when they select a competitor's brewery from the list, then the system displays a comparison of that competitor's performance metrics (e.g., sales volume, popular styles) against the user's brewery performance over the same period.

Exporting Market Trend Reports

Given that the user has analyzed the market trends, when they choose to export the trend report, then the system generates a downloadable report in PDF format that includes all visualizations and data insights from the selected timeframe.

Setting Alerts for Market Changes

Given that the user wants to monitor market changes actively, when they configure alert settings for specific trends (e.g., sales surpassing a threshold), then the system sends real-time notifications via email or SMS when those trends occur.

Interactive Ingredient Map

This feature allows consumers to explore an interactive map that showcases where each ingredient has been sourced. By simply scanning the QR code, customers can see the geographical origins of the ingredients used in their beer, promoting transparency and supporting local farmers and suppliers.

Requirements

Ingredient Visualization

User Story: As a craft beer consumer, I want to see an interactive map of where the brewery sources its ingredients so that I can understand the origin of the beer I am drinking and support local farmers.
Description: The Ingredient Visualization requirement enables a dynamic and interactive display of ingredient sources on a map. This feature serves to visually represent the geographical origins of each ingredient used in the brewing process when users interact with the map. By integrating with existing product data, it enhances transparency for consumers and fosters appreciation for local suppliers and farmers, reinforcing the brand's commitment to sustainability. Additionally, this quirky visual aspect can increase consumer engagement and brand loyalty.
Acceptance Criteria: Consumer scans the QR code on the beer label to access the interactive ingredient map.

Given the QR code is scanned, When the map is displayed, Then it should show the geographical origins of all ingredients used in the beer.

The consumer interacts with the map to explore different ingredients.

Given the map is rendered, When the consumer clicks on an ingredient marker, Then a pop-up should display the ingredient name, source location, and information about the local supplier.

The user accesses the interactive ingredient map on a mobile device.

Given the user is on a mobile device, When the map is loaded, Then it should be responsive, easily navigable, and quick to load without errors.

The ingredient map is integrated with the brewing database for real-time updates.

Given an ingredient source is updated in the brewery database, When the ingredient map is accessed, Then the map should reflect the updated source location within 5 minutes.

The consumer wants to share the ingredient map on social media.

Given the ingredient map is displayed, When the user selects the share button, Then a ready-to-post link should be generated that includes an image of the map and a brief description of the ingredient sourcing.

The ingredient map is accessible to users with different accessibility needs.

Given the interactive ingredient map is displayed, When users utilize screen readers, Then all elements on the map should be accessible and provide proper descriptions for each ingredient and supplier.

QR Code Integration

User Story: As a consumer, I want to scan a QR code on the beer label so that I can quickly access the ingredient map and learn more about where my beer's ingredients come from.
Description: The QR Code Integration requirement facilitates seamless access to the interactive ingredient map via QR code scanning. This functionality allows consumers to conveniently scan a code on the beer label or promotional material, which instantly directs them to the ingredient source map. This capability not only enhances the user experience by making information readily accessible but also increases engagement through interactive content. It's essential for linking the physical product with digital interactivity, thus bridging the gap between traditional consumables and modern technology.
Acceptance Criteria: QR Code Scanning Functionality

Given a beer bottle with a printed QR code, when a consumer scans the QR code with a smartphone, then the interactive ingredient map should load within 5 seconds.

Interactive Map Display

Given that the QR code has been successfully scanned, when the interactive ingredient map loads, then it must display at least 90% of the geographical sources of the ingredients used in that specific beer.

Error Handling for Invalid QR Codes

Given a QR code that is invalid or damaged, when a consumer attempts to scan it, then the system should respond with an error message indicating that the QR code cannot be read and provide instructions for locating the interactive ingredient map online.

User Experience and Engagement

Given that the interactive ingredient map is displayed, when a consumer interacts with the map (e.g., clicking on an ingredient), then the system should provide detailed information about the ingredient's source, including the name of the farm or supplier and a brief description.

Mobile Device Compatibility

Given a consumer using different mobile devices, when they scan the QR code, then the interactive ingredient map should be accessible and fully functional across various platforms including iOS, Android, and Windows.

Analytics Tracking Functionality

Given that consumers are scanning the QR codes, when the QR code is scanned, then the system should log the scan event, recording the time, date, and the specific product scanned for analytical purposes.

Supplier Collaboration Module

User Story: As a brewery manager, I want to collaborate with suppliers to update ingredient sourcing information so that we can provide accurate and current data to our customers, enhancing transparency.
Description: The Supplier Collaboration Module requirement aims to establish connections between the brewery and its suppliers for real-time updates on ingredient sourcing. This module allows breweries to manage vendor relationships and update ingredient origins directly on the map. By fostering better communication and collaboration with local suppliers, the brewery can ensure accurate and timely information is available to consumers. This enhances transparency and supports supply chain integrity, ultimately contributing to consumer trust and satisfaction.
Acceptance Criteria: Supplier Collaboration for Ingredient Updates

Given the brewery has established relationships with suppliers, when a supplier updates the ingredient sourcing information, then the new data should be reflected on the interactive ingredient map within 5 minutes.

Real-Time Notifications for Suppliers

Given a supplier has made changes to their ingredient sourcing, when the update is published, then all relevant brewery team members should receive a notification within 2 minutes of the update.

User Access and Permissions for Supplier Collaboration

Given a user is part of the brewery team, when they attempt to access the Supplier Collaboration Module, then they should only have access to the information pertinent to their role as defined in the system's permissions settings.

Integration with Inventory Management

Given the Supplier Collaboration Module is active, when a new ingredient sourcing update is made, then the inventory management system should automatically adjust ingredient levels and availability accordingly.

Audit Trail for Ingredient Changes

Given the Supplier Collaboration Module is implemented, when a change is made to an ingredient's sourcing information, then an audit trail should be created that logs the date, time, user, and old vs. new data for tracking.

User Feedback on Supplier Relationships

Given the Supplier Collaboration Module is in use, when brewery staff interacts with suppliers through the system, then they should be able to submit feedback that is collected and accessible for analysis.

Supplier Performance Metrics

Given multiple suppliers are linked to the brewery, when ingredient sourcing updates are made, then supplier performance metrics should be generated based on timeliness and accuracy of the updates, available for review by brewery management.

User Feedback Mechanism

User Story: As a consumer, I want to be able to give feedback about the ingredient sourcing information on the map so that I can help improve the feature and ensure its accuracy.
Description: The User Feedback Mechanism requirement enables consumers to provide feedback on the interactive ingredient map and their overall experience. This functionality includes a simple interface for users to submit comments, suggestions, or report inaccuracies regarding ingredient sources. By integrating this feature, the brewery can gather valuable insights and continuously improve the interactive map experience. Moreover, it fosters a sense of community and involvement among consumers, which can enhance brand loyalty and satisfaction.
Acceptance Criteria: Consumers access the interactive ingredient map through a QR code on a beer label, intending to understand the sourcing of specific ingredients.

Given a valid QR code is scanned, When the consumer accesses the ingredient map, Then they should see the sourcing origins of each ingredient displayed on the map with clear labels.

Users submit feedback about the ingredient sourcing accuracy via the feedback mechanism on the interactive map page.

Given a consumer is on the ingredient map, When they provide feedback and submit it using the interface, Then the feedback should be logged and acknowledged with a confirmation message.

Brewery administrators review user feedback collected from the feedback mechanism to identify areas for improvement.

Given user feedback is submitted, When an administrator views the feedback report, Then they should see all feedback categorized by type (comments, suggestions, inaccuracies) and prioritized by frequency.

Consumers report inaccuracies in ingredient sourcing through the feedback mechanism.

Given the ingredient map displays information, When a user identifies inaccurate sourcing information and submits a report, Then the user should receive a prompt for additional details and a confirmation the report was received.

The feedback mechanism allows users to suggest new features or improvements for the interactive ingredient map.

Given a user is using the feedback mechanism, When they submit a suggestion for a new feature, Then the suggestion should be stored and tracked in the brewery’s feedback system for future consideration.

Users interact with the feedback mechanism on mobile devices to ensure responsiveness and usability.

Given the interactive ingredient map is accessed on a mobile device, When a user submits feedback, Then the feedback submission form should be fully functional and easy to use on mobile screens.

Consumers receive periodic updates on how their feedback has impacted the ingredient map.

Given that feedback has been collected, When the brewery publishes updates about changes made from consumer suggestions, Then consumers should receive a notification summarizing the key changes and improvements.

Analytics Dashboard for Ingredient Trends

User Story: As a brewery owner, I want to analyze data on ingredient sourcing and consumer preferences so that I can make better decisions about our ingredients and marketing strategies.
Description: The Analytics Dashboard for Ingredient Trends requirement is designed to provide breweries with insights into ingredient sourcing patterns and consumer preferences. This dashboard will aggregate data on ingredient origins as viewed by consumers, highlight trends in sourcing, and demonstrate the popularity of certain local suppliers. By leveraging analytics, breweries can make informed decisions on ingredient sourcing, marketing strategies, and strengthen their sustainable practices. This data-driven approach enhances operational efficiency and aligns with modern consumer expectations for transparency.
Acceptance Criteria: User accesses the Analytics Dashboard to review ingredient sourcing patterns and preferences.

Given the user is logged in, When the user selects the Analytics Dashboard, Then the dashboard should display an overview of ingredient sourcing patterns for the last six months, with visual charts representing data trends.

User filters ingredient trends by specific time ranges and local suppliers.

Given the user is on the Analytics Dashboard page, When the user applies filters for a specific time range and selects a local supplier, Then the displayed data should update to reflect the filtered ingredient trends accordingly.

Admin reviews the accuracy of the ingredient sourcing data displayed in the dashboard.

Given the admin accesses the backend data management system, When the admin compares the data shown in the Analytics Dashboard to the actual ingredient sourcing data, Then the discrepancies should be less than 5%.

User views the comparative popularity of different local suppliers over the past year.

Given the user is on the Analytics Dashboard, When the user views the 'Popular Suppliers' section, Then the dashboard should show a ranked list of local suppliers based on ingredient usage statistics over the past year.

User shares insights from the Analytics Dashboard with team members via email.

Given the user is on the Analytics Dashboard, When the user selects the 'Share Insights' button and enters team members' email addresses, Then an email containing a summary of the dashboard insights should be sent successfully.

User analyzes the impact of sourcing decisions on sales and market trends.

Given the user examines the dashboard for ingredient trends, When the user correlates ingredient sourcing data with sales data, Then the dashboard should provide a comprehensive analysis that correlates sourcing choices with changes in sales volume.

Brewery Storytelling Section

Through the SmartLabel, consumers can access a dedicated section that shares the brewery's story, philosophy, and brewing traditions. This narrative enriches consumer engagement, helping them connect on a personal level with the brand and its values.

Requirements

Storytelling Content Management

User Story: As a brewery owner, I want to edit and manage our storytelling content easily so that we can keep our narrative fresh and engaging for consumers, fostering a deeper connection with our brand.
Description: The Storytelling Content Management requirement enables breweries to easily create, update, and manage their narrative content within the SmartLabel section. This functionality includes a user-friendly interface for inputting text, images, and videos, ensuring that breweries can effectively communicate their story, philosophy, and traditions. By allowing seamless content updates, breweries keep their storytelling dynamic and engaging, which is crucial for connecting with consumers. This requirement integrates with the existing backend infrastructure of Foamly, allowing for smooth content publishing and alterations without interrupting operational workflows.
Acceptance Criteria: User-friendly Interface for Content Creation

Given a brewery user logged into the Foamly platform, when they access the Storytelling Content Management section, then they should see an intuitive interface that allows the input of text, images, and videos without any technical assistance.

Dynamic Content Updates

Given a brewery user has made changes to their storytelling content, when they publish the changes, then the updates should be reflected in the SmartLabel section within 5 minutes, and users should not face any downtime during the update process.

Content Format Support

Given a brewery user is preparing content for the Storytelling section, when they attempt to upload text, images, or videos, then the system should accept only specified formats (e.g., JPG for images, MP4 for videos) and alert the user if any unsupported formats are uploaded.

Preview Functionality for Storytelling Content

Given a brewery user is editing their storytelling content, when they click the preview button, then they should be able to view how their content will appear on the SmartLabel without publishing it first.

Version Control for Storytelling Updates

Given a brewery user has updated their storytelling content, when they save the changes, then the system should create a new version that can be reverted to an earlier version if needed, keeping track of all previous edits.

User Access Control for Content Management

Given a brewery with multiple users, when an admin assigns roles within the Foamly platform, then users with 'editor' roles should have access to create and update content, while 'viewer' roles should only be able to view the content without editing capabilities.

Analytics Integration for Storytelling Engagement

Given a brewery user has published their storytelling content, when consumers view the SmartLabel, then the brewery should receive analytics data on engagement metrics, such as time spent on the narrative and user interactions, within their Foamly dashboard.

Consumer Feedback Mechanism

User Story: As a consumer, I want to provide feedback about the brewery's story so that I can express my connection to the brand and contribute to its narrative.
Description: This requirement introduces a Consumer Feedback Mechanism within the Brewery Storytelling Section of the SmartLabel. It allows consumers to share their thoughts and experiences about the brewery's story directly through the platform. The feedback is collected in a structured manner and can be analyzed to gain insights into consumer perception and engagement. Implementing this feature enhances the brewery's ability to engage with its audience, create a sense of community, and adapt their storytelling based on consumer preferences.
Acceptance Criteria: Consumer submits feedback via the Brewery Storytelling Section of the SmartLabel after experiencing the brewery's product.

Given a consumer is viewing the Brewery Storytelling Section, when they click on the 'Submit Feedback' button and enter their feedback details, then their feedback should be successfully submitted and a confirmation message should be displayed.

Feedback collected through the Consumer Feedback Mechanism is structured and stored for analysis.

Given consumer feedback is submitted through the platform, when the feedback is processed, then it should be saved in a structured format within the database for future analytics, ensuring all relevant fields are captured accurately.

Brewery administrators review the feedback collected from consumers.

Given that consumer feedback has been submitted, when the brewery administrator accesses the feedback reports section, then they should be able to view all submitted feedback organized by submission date, rating, and sentiment analysis.

Consumers receive a notification after submitting their feedback.

Given a consumer submits their feedback via the SmartLabel, when the feedback is successfully processed, then the consumer should receive a notification or email acknowledging receipt of their feedback.

The brewery analyzes consumer feedback to inform their storytelling strategy.

Given structured consumer feedback is available, when the brewery team reviews the data, then they should be able to generate analytics reports that highlight trends, common themes, and consumer sentiments related to their storytelling efforts.

Multimedia Support Integration

User Story: As a consumer, I want to see images and videos alongside the brewery's story so that I can better visualize and connect with the brand's identity and traditions.
Description: This requirement calls for the integration of multimedia support within the Brewery Storytelling Section, allowing breweries to incorporate images, audio clips, and videos alongside their narrative. This enhances the storytelling experience, making it more immersive and engaging for consumers. Effective multimedia usage can significantly boost consumer interest and emotional connection to the brand. This feature is crucial for modern branding strategies and aligns with user expectations for rich content experiences.
Acceptance Criteria: Brewery Storytelling Section allows breweries to upload multimedia content, including images, audio clips, and videos to enhance consumer engagement.

Given a brewery user logged into the Foamly platform, when they navigate to the Brewery Storytelling Section and upload multimedia content, then the content should successfully appear alongside their narrative without errors.

Consumers access the Brewery Storytelling Section via the SmartLabel and interact with various multimedia elements embedded in the narrative.

Given a consumer scans the SmartLabel, when they view the Brewery Storytelling Section, then they must be able to play audio clips, view images, and watch videos without any compatibility issues across multiple devices.

The Brewery Storytelling Section supports a variety of multimedia formats and sizes to ensure a rich consumer experience.

Given the brewery user uploads multimedia, when the system processes the uploads, then it should accept at least three different formats (JPEG for images, MP3 for audio, MP4 for video) and have clear limitations for file size, ensuring a smooth upload experience.

The integrated multimedia content improves consumer interaction and engagement with the brewery's story.

Given the Brewery Storytelling Section has multimedia content, when a consumer interacts with this content, then the time spent in the section should increase by at least 20% compared to text-only narratives, as measured by analytics.

The platform provides a preview feature to allow breweries to see how their multimedia content will appear in the Brewery Storytelling Section before publishing.

Given a brewery user uploads multimedia, when they click on the preview option, then they should see a simulation of how all multimedia elements appear in the final version before publishing.

Brewery users receive notifications about successful or failed multimedia uploads to ensure they are aware of the status of their content.

Given a brewery user uploads multimedia content, when the upload is completed, then they should receive a notification confirming success or detailing any errors encountered during the upload process.

The Brewery Storytelling Section is optimized for search engines to enhance visibility and engagement.

Given the Brewery Storytelling Section is live, when a consumer performs a search related to the brewery, then the section should be easily discoverable on search engine results within the first two pages of results.

Analytics Dashboard for Story Engagement

User Story: As a brewery manager, I want to access analytics about how consumers interact with our story so that I can improve our storytelling efforts and increase brand loyalty.
Description: This requirement involves creating an Analytics Dashboard that tracks engagement metrics related to the Brewery Storytelling Section. Metrics may include views, shares, feedback submissions, and overall consumer interaction. The insights gained from this dashboard will allow breweries to understand the effectiveness of their storytelling and make data-driven decisions to enhance consumer engagement. This feature is essential for optimizing content strategy and understanding audience preferences.
Acceptance Criteria: User logs into Foamly and navigates to the Analytics Dashboard for the Brewery Storytelling Section after a new campaign launch.

Given the user is on the Analytics Dashboard, when they select the date range for the campaign, then the dashboard displays views, shares, and feedback submissions for the selected period accurately.

A brewery owner wants to assess the impact of their storytelling on consumer engagement over the last month.

Given the user selects a one-month period on the dashboard, when the metrics load, then the dashboard shows total views, shares, and feedback submissions, and allows for comparison with previous months.

Consumers interact with the brewery's story on the platform and submit feedback through the feedback form.

Given a consumer submits feedback through the feedback form, when viewed on the dashboard, then the feedback count is updated in real-time and displayed correctly as part of the engagement metrics.

The brewery team reviews overall data to strategize for the next quarter's storytelling approach.

Given the dashboard has engagement metrics, when the user selects the 'Engagement Insights' option, then the dashboard provides actionable insights and trend analysis based on the collected data.

A brewery wants to track social media shares resulting from their storytelling efforts.

Given the user accesses the sharing metrics, when the user views the metrics for a specific story, then the dashboard presents the total number of shares along with the platforms on which they were shared.

The package updates include new metrics tracking the average time spent on the Brewing Storytelling Section.

Given the user refreshes the dashboard, when the metrics are loaded, then the average time spent watching the storytelling content updates correctly and reflects the latest data.

Social Media Sharing Functions

User Story: As a consumer, I want to share the brewery's story on social media so that I can showcase my favorite brands and inspire my friends to engage with them.
Description: This requirement aims to introduce Social Media Sharing Functions, enabling consumers to easily share the Brewery Storytelling content on their social media platforms. By allowing this sharing capability, breweries can expand their reach and engage with a broader audience. This feature integrates with popular social media platforms and encourages organic sharing of the brewery's narrative, which can contribute to brand awareness and consumer connection at a larger scale.
Acceptance Criteria: Consumer shares the Brewery Storytelling content on Facebook from the Foamly SmartLabel.

Given a consumer is viewing the Brewery Storytelling section, when they click on the 'Share on Facebook' button, then the content should be successfully posted on the consumer's Facebook timeline with a preview image and text summary.

Consumer shares the Brewery Storytelling content on Instagram from the Foamly SmartLabel.

Given a consumer is on the Brewery Storytelling section, when they tap the 'Share on Instagram' button, then the content should open in the Instagram app, allowing the consumer to create a story or post that includes the brewery's narrative and visuals.

Consumer shares the Brewery Storytelling content on Twitter from the Foamly SmartLabel.

Given a consumer is reading the Brewery Storytelling section, when they select the 'Tweet' button, then a new tweet window should appear with the brewery's story text pre-filled and a link to the SmartLabel, ready for the consumer to send.

Social media sharing options are visible and accessible within the Brewery Storytelling section.

Given that a user is on the Brewery Storytelling section, then the available social media sharing buttons (Facebook, Instagram, Twitter) should be clearly visible and labeled on the screen without scrolling.

Consumer shares the Brewery Storytelling content on LinkedIn from the Foamly SmartLabel.

Given a consumer is engaged with the Brewery Storytelling section, when they click the 'Share on LinkedIn' button, then the content should generate a post on LinkedIn with the brewery's information and a relevant image included.

Analytics track social media shares of Brewery Storytelling content.

Given that the social media sharing functions have been implemented, when a consumer shares content, then the system should record the share metrics (platform, date, time, content) in the backend analytics dashboard.

User experience feedback is collected on social media sharing functionality.

Given that social media sharing functions have been live for a period, then feedback from consumers on ease of use and effectiveness should be collected via a survey or feedback form linked post-sharing.

Adaptive Storytelling Templates

User Story: As a brewery owner, I want to use templates for our storytelling section so that we can present our brand's narrative beautifully and consistently, regardless of the device being used.
Description: This requirement provides breweries with Adaptive Storytelling Templates that offer customizable formats for presenting their stories. These templates are designed to be responsive and visually appealing on various devices, including mobile and desktop. By utilizing these templates, breweries can ensure that their storytelling is presented optimally across all user scenarios, enhancing user experience and engagement. This feature also incorporates best practices in design and user interaction.
Acceptance Criteria: Brewery utilizes Adaptive Storytelling Templates to create a new narrative for their flagship beer, ensuring the story reflects their unique brewing traditions and philosophy.

Given the brewery has selected a storytelling template, when they input their narrative and imagery, then the content should display correctly across all screen sizes (desktop, tablet, mobile) without loss of formatting or clarity.

Brewery staff need to edit their storytelling content on-the-go using a mobile device; they must be able to access and modify the template from anywhere.

Given that a brewery staff member is logged into Foamly on a mobile device, when they access the Adaptive Storytelling Template, then they should be able to edit the content seamlessly with all changes reflected in real-time.

A consumer views the brewery's story on a mobile device after scanning the SmartLabel, and they should have an engaging experience without encountering layout issues.

Given that a consumer scans the SmartLabel and navigates to the storytelling section, when they read the brewery's story, then the content should be engaging, visually appealing, and free of layout issues, providing a smooth reading experience.

Brewery configures multiple templates for different product lines to cater to diverse audiences, emphasizing different aspects of their brewing philosophy.

Given that a brewery has set up multiple Adaptive Storytelling Templates, when they switch between templates for various products, then each template should maintain its unique design attributes and functionality without errors or content distortion.

Brewery management wants to ensure that the templates incorporate user interaction best practices to enhance consumer engagement.

Given that the brewery is reviewing the Adaptive Storytelling Templates, when they evaluate the design elements, then each template should include interactive features such as embedded videos, clickable elements, and clear calls-to-action that enhance user engagement according to best practices.

Brewery needs to monitor engagement with the storytelling section to analyze which narratives resonate best with consumers.

Given that the brewery has implemented the Adaptive Storytelling Templates, when they check the analytics dashboard, then they should see measurable engagement metrics such as time spent on page, clicks on interactive elements, and bounce rates for each story presented.

Sustainability Tracker

This feature provides consumers with insights into the brewery's sustainability practices. Upon scanning the QR code, users can view metrics and achievements related to waste reduction, energy usage, and community initiatives, reinforcing the brewery's commitment to environmental responsibility.

Requirements

QR Code Integration

User Story: As a consumer, I want to scan a QR code on the brewery's packaging so that I can easily access information about their sustainability practices and initiatives.
Description: This requirement involves the integration of a QR code system that allows consumers to easily access the sustainability metrics of the brewery. When scanned, the QR code will link to a dedicated webpage or application feature showcasing detailed insights into the brewery's sustainability efforts, including waste reduction statistics, energy consumption data, and community initiatives. This functionality is crucial for reinforcing transparency and consumer trust, helping breweries to highlight their commitment to environmental sustainability directly to their customers. The integration should be seamless, ensuring a user-friendly experience that encourages consumers to engage with the content provided.
Acceptance Criteria: Consumer scans the QR code on the brewery’s product label to access sustainability metrics.

Given the QR code is scanned, when the user is redirected to the webpage, then the page should load within 3 seconds and display the sustainability metrics without errors.

A consumer views the waste reduction metrics on the sustainability webpage.

Given the user accesses the sustainability metrics page, when they scroll to the waste reduction section, then the section should display relevant data and graphics clearly illustrating the brewery's waste reduction efforts for the past year.

A user checks the energy consumption statistics of the brewery.

Given the user is on the sustainability metrics page, when they navigate to the energy consumption section, then the statistics should be accurate, up-to-date, and displayed in a user-friendly format (e.g., graphs or charts).

Consumers are able to share sustainability metrics via social media after scanning the QR code.

Given a user is viewing the sustainability metrics page, when they click the 'Share' button, then the sharing options for major social media platforms should appear and function correctly, allowing them to share the metrics instantly.

The commitment to community initiatives is highlighted on the sustainability metrics page.

Given the user is viewing the sustainability metrics, when they access the community initiatives section, then the information should detail specific initiatives and include links to supporting documentation or articles.

Ensuring mobile responsiveness of the sustainability metrics webpage after QR code scan.

Given the user scans the QR code on a mobile device, when they are redirected to the webpage, then the page should display correctly on mobile devices, with no horizontal scrolling required and all information properly formatted.

Monitoring analytics for user engagement with the sustainability metrics page.

Given the webpage has been accessed by a user, when they leave the page, then analytics should accurately record metrics such as time spent on the page, sections visited, and shares made.

Sustainability Dashboard

User Story: As a brewery owner, I want to have a dashboard that displays our sustainability metrics so that I can track our environmental impact and make informed decisions for future initiatives.
Description: This requirement entails the development of a comprehensive sustainability dashboard within the Foamly platform. The dashboard will consolidate various metrics regarding energy usage, waste management practices, and community engagement efforts into a single interface. It will feature visual representations such as graphs and charts to enhance understanding and accessibility of the data. This dashboard is essential for breweries to track their sustainability goals over time and is a valuable tool for decision-making and strategic planning. The integration with existing production data will allow breweries to measure their impact accurately and report their progress to stakeholders.
Acceptance Criteria: Sustainability Dashboard Metrics Display.

Given a user accesses the sustainability dashboard, when the dashboard is loaded, then the metrics for energy usage, waste management, and community engagement should be displayed visually with graphs and charts accurately reflecting the latest data inputs.

User Interaction with Sustainability Dashboard.

Given a user clicks on a specific metric within the sustainability dashboard, when the user selects the metric, then detailed information regarding that metric should be displayed, allowing users to explore historical data and trends.

Sustainability Dashboard Data Integration.

Given the sustainability dashboard is implemented, when production data is updated, then the dashboard should automatically refresh to reflect the most current energy usage and waste management data without the need for manual intervention.

Accessibility Compliance of the Dashboard.

Given the sustainability dashboard is accessed by users, when it is evaluated, then the dashboard should meet WCAG 2.1 AA accessibility standards to ensure usability for all users, including those with disabilities.

Stakeholder Report Generation from the Dashboard.

Given a brewery wants to report its sustainability metrics to stakeholders, when they select the report generation option from the dashboard, then a downloadable report should be generated in PDF format containing all relevant sustainability metrics and visualizations.

Mobile Responsiveness of the Dashboard.

Given a user accesses the sustainability dashboard on a mobile device, when the dashboard is displayed, then the layout should automatically adjust to fit the mobile screen while maintaining the functionality and readability of the content.

User Authentication for Dashboard Access.

Given a brewery employee attempts to access the sustainability dashboard, when they enter their credentials, then the system should authenticate and grant access only if the credentials are valid, ensuring secure access to sensitive sustainability metrics.

Performance Analytics Reporting

User Story: As a brewery manager, I want to be able to generate reports on our sustainability performance so that I can share our achievements with stakeholders and identify areas for improvement.
Description: This requirement focuses on implementing performance analytics reporting capabilities that will provide breweries with insights into their sustainability performance over time. It will include features to set benchmarks, track progress against sustainability goals, and generate reports for internal and external stakeholders. These reports should be customizable, allowing breweries to highlight specific achievements, trends, and areas for improvement. This feature is vital for enhancing accountability and encouraging continual improvement in sustainability practices, supporting breweries in effectively communicating their efforts to consumers and investors alike.
Acceptance Criteria: User wants to generate a performance analytics report to present sustainability metrics to stakeholders during a quarterly review meeting.

Given that the user is logged into the Foamly platform, when they navigate to the Performance Analytics Reporting section and choose 'Generate Report', then a downloadable PDF report should be created that includes metrics on waste reduction, energy usage, and community initiatives with visual graphs of data trends.

A brewery wishes to set sustainability benchmarks for waste reduction and energy consumption in the Foamly system.

Given that the user is on the 'Sustainability Goals' page, when they input specific benchmark values and click 'Save', then those benchmarks should be saved successfully and reflected in the performance analytics dashboard.

The brewery wants to track the progress of their sustainability goals over a set timeframe using the reporting tool.

Given that the user accesses the Performance Analytics Reporting tool, when they select a date range and hit 'View Progress', they should see a summary of progress towards each benchmark, displaying percentage completion and trends in data over that timeframe.

A brewery wants to customize a report to highlight specific achievements in their sustainability efforts for an upcoming investor pitch.

Given that the user selects specific metrics to include in the report customization options, when they click 'Generate Custom Report', then the report should include only the chosen metrics along with a success narrative and relevant graphics for those selected parameters.

The brewery's management wants to ensure the generated reports are suitable for both internal and external stakeholders.

Given that the user generates a report, when they review the layout and presentation of the report, then it should meet the criteria of being professional, clear, and include both quantitative data and qualitative descriptions appropriate for both the management team and external parties such as investors and customers.

A brewery wants to review historical data on sustainability to inform future goals and strategies.

Given that the user requests a report for previous years' data, when they select the years and click 'Generate Report', then the system should process the request and provide an accurate report summarizing sustainability metrics from the chosen years.

Consumer Feedback Loop

User Story: As a consumer, I want to provide feedback on the sustainability information I access so that I can contribute to the brewery's ongoing efforts to improve their practices.
Description: This requirement seeks to establish a consumer feedback mechanism related to sustainability practices. It will offer users a simple way to provide feedback on the information presented via the QR code and the sustainability dashboard. By collecting consumer insights, breweries can understand public perception of their sustainability efforts and improve communication strategies. This feature is designed to foster community engagement and create a dialogue between the brewery and consumers. It will include tools for users to rate their experience, leave comments, and suggest improvements, ensuring that breweries are responsive to consumer needs and concerns.
Acceptance Criteria: Consumer scans the QR code on the brewery's sustainability dashboard and accesses the feedback form.

Given a consumer scans the QR code, when they access the feedback form, then they should be able to submit a rating from 1 to 5 and provide comments.

Consumer submits feedback regarding the sustainability metrics they viewed.

Given the consumer fills out the feedback form with a rating and a comment, when they click the submit button, then their feedback should be successfully recorded in the database.

Brewery management reviews consumer feedback and responses gathered from the feedback loop.

Given that at least 10 feedback entries have been submitted, when the brewery management accesses the feedback summary report, then they should see an aggregation of ratings and common themes in the comments.

Consumer accesses the sustainability dashboard to view metrics and current initiatives.

Given that a consumer scans the QR code, when they navigate to the sustainability dashboard, then all relevant metrics and initiatives should load within 3 seconds without errors.

Brewery encourages consumers to provide feedback during a promotional event.

Given that a promotional event is happening, when consumers are prompted to scan the QR code and provide feedback, then at least 50% of attendees should engage with the feedback form.

Marketing Integration

User Story: As a marketing manager, I want to integrate our sustainability data into our marketing campaigns so that we can showcase our commitment to environmental responsibility and attract more customers.
Description: This requirement involves the integration of sustainability metrics into the brewery's marketing strategy by providing tools for displaying these accomplishments on the brewery's website and social media platforms. The integration should allow breweries to easily share their sustainability achievements and community engagement initiatives to enhance brand reputation and attract environmentally-conscious consumers. This feature will include customizable templates for posting on digital platforms and will support various media formats, thereby reinforcing the brewery's commitment to sustainability in their overall messaging and branding efforts.
Acceptance Criteria: Consumers visiting the brewery's website to learn about sustainability practices after scanning the QR code on a beer label.

Given a consumer scans the QR code on the product label, When they access the sustainability section on the website, Then they can view metrics on waste reduction, energy usage, and community initiatives in a clear and engaging format.

Brewery marketing team customizing a template for social media post to showcase sustainability achievements.

Given the marketing team selects a sustainability achievement, When they use the customizable template on the Foamly platform, Then they should be able to create a social media post that includes relevant metrics and images within 15 minutes.

Consumers interacting with the brewery's social media posts on sustainability initiatives and metrics.

Given a sustainability-themed post is published on social media, When consumers engage with the post (likes, shares, comments), Then the brewery should see a minimum of 100 interactions within 24 hours of posting.

Monitoring the effectiveness of sustainability messaging in marketing campaigns.

Given the brewery implements the new marketing integration for sustainability metrics, When analyzing web traffic and social media engagement after one month, Then there should be a 20% increase in user engagement compared to the previous month.

Brewery staff reviewing sustainability metrics to understand areas for improvement.

Given the sustainability metrics are integrated into Foamly, When staff access the analytics dashboard, Then they should be able to view trends in energy usage, waste production, and community engagement initiatives over the last quarter.

The brewery reports its sustainability achievements in a quarterly sustainability report.

Given the requirement for quarterly reporting, When the brewery compiles its sustainability report, Then it must include metrics such as waste reduction percentages, energy savings, and any relevant community initiatives conducted during that quarter.

Customers receiving feedback on initiatives associated with sustainability metrics shared online.

Given customers engage with the provided sustainability metrics on the brewery's platforms, When they submit feedback or queries, Then at least 75% of feedback should be responded to within 24 hours to maintain healthy customer relations.

Regulatory Compliance Tracker

User Story: As a compliance officer, I want a tool to track our sustainability compliance efforts so that we can ensure we meet all regulatory standards and avoid penalties.
Description: This requirement entails creating a tool that helps breweries monitor and comply with relevant environmental regulations related to sustainability practices. This tracker will include features for logging compliance activities, tracking deadlines for reporting, and ensuring that breweries meet legal obligations. It is crucial for minimizing legal risks and enhancing operational transparency, as well as building consumer trust by demonstrating adherence to sustainability standards. This feature should also provide alerts and reminders for compliance activities to ensure timely completion of necessary actions.
Acceptance Criteria: User logs into the Foamly platform and navigates to the Regulatory Compliance Tracker to review their ongoing compliance activities and deadlines.

Given the user is logged in, when they navigate to the Regulatory Compliance Tracker, then they should see a dashboard displaying all current compliance activities and associated deadlines accurately.

A brewery user has entered the details of a compliance activity and wants to set a reminder for an upcoming reporting deadline.

Given the user is in the compliance activity entry form, when they enter the details and set a reminder, then a notification should be scheduled and displayed in the user's calendar on the set date.

A brewery user wants to log a completed compliance activity in the Regulatory Compliance Tracker.

Given the user has completed a compliance activity, when they log the activity in the tracker, then the log should be reflected in the user's compliance history with the correct timestamp and details.

A brewery user receives a notification for an upcoming compliance reporting deadline.

Given the user has set reminders for compliance activities, when the reporting deadline approaches, then they should receive an automated notification via email and within the Foamly platform at least three days in advance.

A compliance report generated from the tracker needs to be shared with stakeholders for review.

Given the user selects the 'Generate Report' option, when the report is generated, then it should accurately summarize compliance activities and be exportable in PDF format for easy sharing.

An admin wants to audit the compliance activities logged in the tracker for accuracy and completeness.

Given the admin accesses the compliance audit report, when they review the logged compliance activities, then they should see a complete log with no missing entries for the specified audit period.

Flavor Pairing Recommendations

When consumers scan the SmartLabel, they receive tailored food and flavor pairing suggestions based on the beer's profile. This feature enhances the drinking experience by helping consumers elevate their enjoyment of the beer with complementary culinary pairings.

Requirements

Real-time Flavor Pairing Engine

User Story: As a consumer, I want real-time food pairing recommendations when I scan the SmartLabel so that I can elevate my beer drinking experience with the perfect complementary dishes.
Description: This requirement involves developing a sophisticated algorithm that analyzes the beer’s flavor profile and generates real-time food and flavor pairing recommendations. The engine should access a comprehensive database of food items and flavor notes to ensure accurate pairings. This feature should enhance user engagement by providing personalized suggestions that can be easily accessed via the SmartLabel scanning functionality. The expected outcome is to enrich the consumer's tasting experience, thereby increasing the perceived value of the beer and encouraging further purchases.
Acceptance Criteria: Flavor Pairing Recommendations for Lager Beer

Given a user scans the SmartLabel of a lager, When the real-time flavor pairing engine processes the beer's flavor profile, Then it should return at least three food and flavor pairing suggestions that complement the lager's characteristics.

Flavor Pairing Recommendations for Stout Beer

Given a user scans the SmartLabel of a stout, When the real-time flavor pairing engine analyzes the flavor profile, Then it should display personalized pairing suggestions relevant to the stout's flavor notes.

Database Completeness Check

Given the flavor pairing engine is operational, When a query is made for beer flavor profiles, Then it should access and utilize a database containing at least 100 diverse food items and flavor notes for pairing recommendations.

User Engagement Measurement

Given the flavor pairing feature is live, When users interact with the pairing suggestions, Then the system should capture engagement metrics, aiming for at least 70% of users to explore the suggested pairings.

Real-time Feedback Submission

Given a user receives flavor pairing recommendations, When they try suggested pairings, Then they should be able to submit feedback via the SmartLabel, and at least 80% of users should report satisfaction with the pairings.

User Feedback Collection System

User Story: As a consumer, I want to provide feedback on food pairings so that I can help improve the recommendations and my experience with the product.
Description: Implement a feedback system that allows consumers to rate the recommended food pairings after each use. This feature should include a simple interface for users to submit their experience ratings and comments easily. The feedback will be collected and analyzed to continuously improve the flavor pairing recommendations. By integrating customer insights into the pairing engine, Foamly can refine its suggestions, creating a more tailored experience for users. The expected outcome is enhanced consumer satisfaction and improved pairing accuracy over time.
Acceptance Criteria: Consumer submits a rating for a food pairing after enjoying a beer with their meal.

Given a consumer has scanned the SmartLabel and selected a food pairing, when they submit a rating, then the system should confirm receipt of the rating and save it to the database within 5 seconds.

Consumer adds comments based on their experience with the recommended food pairing.

Given a consumer has submitted a rating, when they choose to add comments, then they should be able to enter text up to 250 characters, and the comments should be saved accurately alongside their rating.

The system aggregates consumer ratings and comments to improve future flavor pairing recommendations.

Given that at least 10 ratings for a specific food pairing have been collected, when the aggregation process is triggered, then the system should analyze the feedback and update the recommendation algorithm to reflect the new insights.

Consumers receive a notification confirming their feedback submission and thanking them for their input.

Given that a consumer has successfully submitted a rating and optional comments, when the submission is completed, then the consumer should receive a notification within the app stating their feedback has been received and that their input is appreciated.

Admin reviews submitted ratings and comments to monitor consumer satisfaction.

Given an admin user accesses the feedback dashboard, when they filter by date or specific pairing, then they should be able to view all associated ratings and comments, with the ability to export the data as a CSV file.

The user interface for feedback submission is intuitive and user-friendly.

Given a consumer accesses the feedback system, when they view the feedback form, then all fields (rating, comments) should be clearly labeled, and the form should allow submission with a single button click, ensuring ease of use for all consumers.

Analytics Dashboard for Recommendations

User Story: As a brewer, I want to access analytics on flavor pairing popularity so that I can make informed decisions about my beer offerings and marketing strategies.
Description: Develop an analytics dashboard that provides brewers with insights into the popularity and effectiveness of various flavor pairings suggested through the SmartLabel feature. This dashboard should visualize trends, consumer preferences, and feedback data to help brewers make informed decisions on beer production and marketing strategies. By understanding how consumers interact with the flavor pairing feature, brewers can tailor their offerings to better meet market demands. The outcome will be a data-driven approach to enhance product relevance and reception.
Acceptance Criteria: Analytics Dashboard displays flavor pairing trends for brewers during the weekly analytical review meeting.

Given the brewer accesses the analytics dashboard, when they navigate to the 'Flavor Pairing Trends' section, then the data should visualize at least the last three months of flavor pairing insights, including popularity scores and consumer feedback ratings.

Brewer references the dashboard to adjust marketing strategies for a new seasonal brew featuring a unique flavor profile.

Given the brewer selects a specific beer on the analytics dashboard, when they view the flavor pairing recommendations, then they should see a list of at least five recommended pairings with associated consumer preference insights for each pairing.

Analytics Dashboard is used during a brewmaster’s consultation session to evaluate the effectiveness of current flavor pairings.

Given the brewmaster accesses the analytics dashboard, when they analyze the 'Effectiveness of Flavor Pairings' data, then the dashboard should display data on pairing ratings from consumers, with a minimum sample size of 100 entries for statistical reliability.

Brewery staff reviews the dashboard to identify trending flavors in the local market for product development.

Given the staff accesses the analytics dashboard, when they filter the data by region, then the dashboard should list at least three trending flavors in the local market based on consumer interaction and sales data.

User feedback from the SmartLabel feature is assessed on the dashboard to enhance flavor pairing suggestions.

Given the brewer accesses the 'Consumer Feedback' section of the analytics dashboard, when they review the feedback for flavor pairings, then they should see a categorized list of comments and suggestions from at least 50 unique users, ready for analysis.

Brewers use the analytics dashboard to track changes in consumer preferences over time.

Given the brewer is on the analytics dashboard, when they view the 'Trends Over Time' section, then they should see a graphical representation of changes in consumer preferences for flavor pairings over the past 12 months, with clear lines for trending up or down.

Mobile Integration for Pairing Suggestions

User Story: As a mobile app user, I want to save my favorite food pairings so that I can easily remember them for future reference and continue to enhance my beer tasting experience.
Description: Integrate the flavor pairing recommendations feature within a mobile app that allows users to save their favorite pairings and access them later, even when not scanning the SmartLabel. This feature should include a user-friendly interface that displays saved pairings and suggests new ones based on personal history. This will enhance user interaction with the product and maintain engagement beyond the initial scan. The expected outcome is an enriched user experience that fosters brand loyalty.
Acceptance Criteria: User Engagement with Mobile Integration for Flavor Pairing Suggestions

Given a user has scanned a SmartLabel for a beer, When the user accesses the mobile app, Then the user should see the flavor pairing suggestions corresponding to the scanned beer along with the option to save their favorites.

Saving Favorite Pairings in the Mobile App

Given a user views the flavor pairing recommendations in the mobile app, When the user selects a pairing to save, Then the mobile app should successfully save the selected pairing and confirm the action through a notification.

Accessing Saved Pairings from the Mobile App

Given a user has saved flavor pairings previously, When the user navigates to the 'Favorites' section in the mobile app, Then the saved pairings should be displayed accurately without any omissions.

Suggestion of New Pairings Based on User History

Given a user has multiple saved flavor pairings, When the user opens the mobile app, Then the app should suggest at least three new flavor pairings based on the user's saved history.

User Interface for Flavor Pairings in Mobile App

Given a user opens the flavor pairing section of the app, When the interface is loaded, Then the user should experience an intuitive layout, with easy navigation and visually distinct pairing options.

Interaction Analytics for Flavor Pairing Feature

Given several users are using the mobile app, When data is collected for user interactions, Then there should be measurable analytics indicating frequency of usage and user engagement with flavor pairing suggestions over a 30-day period.

User Feedback on Flavor Pairing Suggestions

Given a user has interacted with the flavor pairing feature, When the user is prompted to provide feedback, Then the feedback mechanism should allow the user to rate their experience on a scale of 1 to 5 and submit comments.

Seasonal Pairing Suggestions Feature

User Story: As a consumer, I want seasonal pairing suggestions for my beer so that I can enjoy flavors that are in harmony with current food trends and seasonal ingredients.
Description: Create a component that provides seasonal food pairing suggestions tailored to specific beers, based on the time of year and seasonal ingredients. This feature should leverage existing flavor data but focus on the availability of seasonal ingredients to recommend pairings that resonate with current culinary trends. The expected outcome is to entice consumers to explore new experiences and drive seasonal sales, making the product relevant throughout the year.
Acceptance Criteria: Consumers use the Foamly app during seasonal promotions to discover new beer and food pairings that are tailored to the current season.

Given the app is launched in a season, when a user scans a beer's SmartLabel, then they receive at least three seasonal food pairing suggestions that highlight seasonal ingredients available that month.

A brewer updates the database with seasonal ingredients and beer profiles for the month of December to align with holiday themes.

Given the brewer has entered seasonal ingredients into the database, when the system retrieves pairing suggestions, then it generates recommendations that include at least two holiday-specific pairing options for related beers.

Users want to search for specific beer styles and see relevant seasonal pairing suggestions.

Given a user selects a beer style filter, when they access the seasonal pairing section, then the system displays seasonal food pairings appropriate for the selected beer style with ingredients currently in season.

A food pairing suggestion is presented to the user based on a local seasonal festival.

Given the user is located near a seasonal festival, when they scan a beer SmartLabel, then the pairing suggestions include at least one dish featured at the festival that incorporates seasonal ingredients.

A consumer receives thoughtful recommendations during a tasting event focused on seasonal beers and foods.

Given a consumer is at a seasonal tasting event, when they interact with the Foamly app, then the app provides tailored pairing suggestions that highlight both the beer and the local seasonal cuisine being served at the event.

Admin users will review and update the seasonal pairing suggestions for accuracy and relevance bi-annually.

Given the admin users access the seasonal pairing management section, when updating suggestions, then they ensure that at least 90% of the pairings are derived from current seasonal ingredients and culinary trends.

Users provide feedback on the seasonal pairing suggestions offered through the app to enhance future recommendations.

Given a user tries a suggested pairing, when they provide feedback, then the system allows them to rate the pairing on a scale of 1 to 5 stars and their feedback is recorded for future analysis.

Limited Edition Alerts

SmartLabel can notify consumers about limited edition brews or special releases when they scan the QR code. This feature fosters a sense of community and exclusivity, encouraging customers to return for unique offerings and building excitement around new products.

Requirements

Limited Edition Brew Notifications

User Story: As a craft beer enthusiast, I want to receive instant notifications about limited edition brews when I scan the QR code so that I can stay informed about exclusive releases and don't miss out on special offerings.
Description: This requirement entails implementing a notification system within the Foamly platform that alerts consumers when a limited edition brew or special release is available. The notifications will be triggered when customers scan a QR code on product packaging, linking them to detailed information about the limited offerings. This feature is designed to enhance customer engagement by fostering a sense of exclusivity and community among craft beer enthusiasts, encouraging customers to return for unique releases, and driving sales for special edition brews. By integrating with existing inventory management and analytics functionalities, this requirement seamlessly meshes with Foamly's overarching goal to improve operational efficiency and customer satisfaction in the brewing process.
Acceptance Criteria: Consumer scans a QR code from a limited edition brew's packaging in a retail environment.

Given the consumer scans the QR code, When the system processes the QR code scan, Then a notification is sent to the consumer's device about the limited edition brew.

Consumer receives an alert notification for a new limited edition brew after scanning the QR code.

Given the consumer scans the QR code and the brew is available, When the notification is generated, Then it displays the brew's name, description, and availability date.

Consumers are alerted about limited edition brews through push notifications on the Foamly mobile application.

Given that the consumer has enabled notifications in the Foamly application, When a new limited edition brew is added, Then a push notification is sent to all consumers subscribed to alerts.

A brewing company updates their inventory with limited edition brews.

Given the brewing company adds a limited edition brew to the Foamly inventory system, When the inventory is updated, Then the system automatically triggers alerts for consumers who have previously scanned related QR codes.

Consumers without the Foamly app scan the QR code on limited edition brew packs.

Given that a consumer scans the QR code without the Foamly app installed, When the QR code is scanned, Then they are directed to a web page with brew details and an option to download the app for alerts.

An analytics dashboard displays engagement metrics for limited edition alerts.

Given the limited edition alert system is functioning, When the brewing company views the analytics dashboard, Then it shows the number of notifications sent, opened, and the consumer engagement rate.

QR Code Scan Response System

User Story: As a customer, I want to scan a QR code and quickly access information about new limited edition brews so that I can make informed decisions about purchasing them.
Description: This requirement involves developing a QR code scanning feature that allows customers to access information about limited edition brews and special releases directly through their mobile devices. When a QR code is scanned, it will provide users with instant access to a dedicated page for the product, displaying details such as availability, tasting notes, and the brewing process. This quick response system aims to elevate customer experience by providing immediate access to information and creating an interactive element that encourages potential purchases. Moreover, it will integrate with the existing mobile interface of Foamly to provide a cohesive brand experience across platforms.
Acceptance Criteria: User scanning a QR code placed at the brewery to access the limited edition brew's information.

Given that a user scans the QR code, When the scan is successful, Then the user should be redirected to the dedicated product page with accurate information about the limited edition brew.

Customer using a mobile device to scan the QR code while at a promotional event for a special release.

Given that a QR code is scanned during a promotional event, When the scan is completed, Then a notification should appear confirming the product is available, along with tasting notes and insights into the brewing process.

Brewery staff testing the QR code scanning feature in a controlled environment prior to the product launch.

Given that the QR code scan is performed by the staff, When the scan results return no errors, Then the entire information display including availability, tasting notes, and brewing process should render correctly.

Consumer scanning a QR code at home from a marketing brochure to learn more about a limited edition product.

Given that the user scans a QR code from a brochure, When the QR code is scanned, Then the user should be able to view a mobile-optimized version of the product page with all the necessary information.

User sharing the scanned QR code information on social media to promote the limited edition brew.

Given that a user scans the QR code and is redirected to the product page, When the user selects the share option, Then the product details should be easily sharable on selected social media platforms without loss of information.

A customer with accessibility needs scanning a QR code to receive audio information about the product.

Given that a user with accessibility needs scans the QR code, When the scan is successful, Then the system should provide audio descriptions of the product information including availability and tasting notes.

Community Engagement Features

User Story: As a beer lover, I want to share my thoughts and experiences with limited edition brews on social media so that I can connect with other enthusiasts and influence their purchases.
Description: This requirement focuses on developing features that enable peer-to-peer interaction among consumers when they learn about limited edition offerings. Features may include user reviews, ratings, and the ability to share experiences on social media directly from the product information page. By fostering a community atmosphere, this function will leverage social proof to drive interest and excitement for limited edition brews, thus enhancing customer loyalty and brand advocacy. This requirement will integrate with social media APIs to allow seamless sharing and enhance community engagement within Foamly's platform.
Acceptance Criteria: User shares a limited edition brew experience via social media after scanning the SmartLabel QR code.

Given the user scans a QR code on the product label, When the product information page opens, Then the user should see an option to share their experience on social media with a predefined message and image.

User rates a limited edition brew on the Foamly platform to contribute to the community engagement features.

Given the user is on the product information page of a limited edition brew, When the user selects the rating option and submits a rating, Then the rating should reflect immediately on the product page and be averaged with other user ratings.

User reads peer reviews of a limited edition brew before deciding to purchase.

Given the user accesses the product information page of a limited edition brew, When they navigate to the reviews section, Then they should see at least five user reviews displayed with an average rating.

User receives a notification about a limited edition brew that matches their preferences after scanning a QR code.

Given the user has set their preferences in their profile, When they scan a QR code for a limited edition brew, Then a push notification should be sent to inform them about the new offering that matches their preferences.

User engages with community comments on a limited edition brew page.

Given the user views a limited edition brew page, When they click on a comment section, Then they should be able to read, reply, and add new comments, and those comments should be timestamped and associated with their user profile.

User identifies trending limited edition brews based on community engagement metrics.

Given the user accesses the limited edition brews section, When the data is processed, Then the user should see a list of brews ordered by highest engagement metrics (likes, shares, reviews).

Analytics Dashboard for Limited Releases

User Story: As a brewery owner, I want to access analytics on consumer interactions with limited edition brews so that I can understand interest levels and improve future releases.
Description: This requirement includes the creation of an analytics dashboard specifically designed to track consumer interactions with limited edition brews. The dashboard will provide insights into how many times QR codes were scanned, customer preferences, and sales generated from these special offerings. The goal is to equip brewers with the necessary data to make informed decisions for future releases, refine marketing strategies, and understand consumer behavior patterns. Integrating this requirement with existing analytics tools within Foamly will empower brewers to anticipate market trends and tailor their operations accordingly.
Acceptance Criteria: Consumer scans the QR code on a special edition brew label at a brewery event, triggering a notification about the limited edition release through the Foamly app.

Given the QR code is scanned, When the scan is registered, Then the consumer receives a notification with details about the limited edition brew within 5 minutes.

Brewers analyze the data from the analytics dashboard after a limited edition release campaign ends to evaluate consumer interaction and sales metrics.

Given the campaign has ended, When I access the analytics dashboard, Then I can view the total number of QR code scans, unique consumer interactions, and total sales generated from limited edition brews.

A brewer wants to refine future marketing strategies based on consumer preferences gathered during the limited edition release.

Given that consumer preference data is collected, When I review the analytics dashboard, Then I can filter data by demographic and product preference to gain insights for future releases.

Brewers wish to monitor real-time data during a special release event to assess customer engagement with the limited edition brews.

Given the event is in progress, When I view the analytics dashboard, Then I can see real-time updates of QR code scans and consumer interactions on the dashboard within a one-minute refresh rate.

A brewery aims to create a report summarizing the performance of limited edition releases over the last quarter for internal review.

Given the last quarter's data is available, When I generate a performance report from the analytics dashboard, Then the report includes total sales, consumer interactions, and successful notifications for each limited edition release.

A brewery implements changes to its production based on the analytical insights gained from consumer interaction data.

Given the insights have been analyzed and decisions made, When I review the production schedule, Then it reflects adjustments aligned with consumer demand highlighted in the analytics dashboard.

User Education on Limited Editions

User Story: As a user, I want to learn more about the limited edition brews I purchase so that I can appreciate their uniqueness and the craftsmanship involved in their creation.
Description: This requirement aims to develop educational content that informs consumers about the uniqueness and value of limited edition brews. The content will be made accessible through the QR code scan responses and will include information about the brewing process, the ingredients used, and the story behind each limited edition brew. Engaging consumers through educational material will not only enrich their appreciation for the product but also reinforce the brand's commitment to quality and craftmanship in brewing. This requirement will be integrated with marketing strategies to enhance content visibility and alignment with the Foamly brand message.
Acceptance Criteria: User scans the QR code on a limited edition beer packaging and receives an educational response about the brew.

Given a user scans the QR code on a limited edition beer, when the system processes the scan, then the user should receive a detailed educational response that includes information about the brewing process, ingredients, and the story behind the limited edition brew.

The educational content for limited edition brews is displayed clearly on mobile devices after scanning the QR code.

Given the user scans the QR code, when the educational content is loaded, then the content should be properly formatted and easily readable on various mobile devices without distortion or usability issues.

Users can share the educational content about limited edition brews on social media.

Given a user is viewing the educational content after scanning the QR code, when they click on the share button, then they should be able to share the content on at least three social media platforms without errors or content omission.

The educational content is accessible within 5 seconds of scanning the QR code.

Given a user scans the QR code, when the scan is processed, then the educational content should load and be fully visible within a maximum of 5 seconds.

Feedback is collected from users about the educational content's usefulness.

Given the educational content is displayed, when a user completes their reading, then they should be prompted with a feedback form that allows them to rate the content's usefulness on a scale from 1 to 5 and provide additional comments.

The educational content reflects brand messaging and tone of voice.

Given the educational content is created, when it is reviewed by the marketing team, then it should align with Foamly's brand messaging and maintain a consistent tone of voice throughout the material.

The educational responses can be tracked for engagement metrics post-scan.

Given a user has scanned a QR code, when the data is collected, then engagement metrics such as the number of scans and time spent on the educational content should be tracked and reportable for analysis.

Feedback Loop for Limited Editions

User Story: As a customer, I want to leave feedback about limited edition brews after I purchase them so that I can share my experience and help the brewery improve.
Description: This requirement establishes a feedback mechanism that allows consumers to provide direct input on their experiences with limited edition brews, helping breweries to gather actionable insights. Consumers will be able to leave ratings and feedback directly through the product webpage accessed via QR code scans. This feedback will be critical for brewers in assessing customer satisfaction and making improvements in future production. Integrating this feature will encourage customer engagement and demonstrate that their opinions matter in the brewing process.
Acceptance Criteria: Consumer scans a QR code on a limited edition brew label to access the feedback submission page.

Given a consumer scans the QR code, When the feedback submission page loads, Then the consumer must see a clear option to rate the product from 1 to 5 stars and submit text feedback.

A consumer submits their feedback about a limited edition brew after scanning the QR code.

Given a consumer fills out the feedback form with a rating and a comment, When they click the submit button, Then their feedback should be successfully recorded in the system and a confirmation message should be displayed.

Brewers access collected feedback through the Foamly dashboard for analysis.

Given that feedback has been submitted, When a brewer logs into the Foamly system and navigates to the feedback section, Then they must see all the feedback organized by product, including ratings, comments, and submission dates.

Consumer attempts to submit feedback without providing a rating.

Given a consumer is on the feedback submission page and tries to submit without selecting a rating, When they click the submit button, Then an error message must appear indicating that the rating is required.

Consumer views the feedback summary for limited edition brews before submitting their own feedback.

Given the consumer is on the feedback submission page, When they access the feedback summary section, Then they must be able to view average ratings and recent comments from other consumers for the limited edition brew.

Brewers decide to make adjustments based on feedback received.

Given that multiple ratings and comments have been collected for a limited edition brew, When brewers review this data in the Foamly system, Then they must be able to identify trends and implement at least one actionable change for future brews based on consumer suggestions.

Customer Feedback Loop

Enable consumers to submit feedback directly through the SmartLabel by scanning the QR code. This feature creates a direct connection between the brewery and its customers, allowing for real-time insights into consumer preferences and satisfaction, which can inform future brewing decisions.

Requirements

QR Code Integration

User Story: As a customer, I want to scan the QR code on the SmartLabel, so that I can easily provide feedback on the beer I just tried.
Description: The QR Code Integration requirement enables the generation of unique QR codes that can be printed on the SmartLabel of each product. When scanned by consumers, these codes lead to a feedback submission platform where users can easily provide their thoughts and experiences regarding the product. This integration enhances the customer engagement process by facilitating a simple, direct method for feedback collection, thus aiding the brewery in understanding customer preferences and improving product quality. The implementation involves back-end support to generate and link QR codes to specific products and the front-end user interface for feedback submission.
Acceptance Criteria: Consumer scans the QR code on the SmartLabel of a beer product using their smartphone.

Given the consumer scans the QR code, When they are redirected to the feedback submission platform, Then they should see a feedback form that is easy to fill out and submit answers within 2 minutes.

The brewery generates unique QR codes for each product variant to link to specific feedback forms.

Given the brewery creates a new product variant, When the QR code is generated, Then it should link accurately to the corresponding feedback submission platform for that product without errors.

Consumers submit feedback through the QR code integration on the SmartLabel.

Given that the consumer has filled out the feedback form, When they click submit, Then their feedback should be stored in the brewery's database and confirmation of submission should be displayed immediately to the consumer.

The brewery reviews feedback collected from the QR code submissions.

Given the brewery accesses the feedback database, When they filter feedback by product, Then they should be able to view all the feedback submissions associated with that specific product within a single interface.

The feedback form allows users to rate the product on a scale from 1 to 5 and provide comments.

Given that the consumer submits feedback, When they complete the rating and comment fields, Then both pieces of information should be recorded correctly and retrievable for analysis.

Feedback submission allows for anonymous submissions from consumers.

Given that a consumer chooses to provide feedback anonymously, When they submit their feedback, Then it should be registered without capturing any identifiable information from the user.

The brewery can track the number of scans and submissions from the QR code over time.

Given the integration is set correctly, When the QR code is scanned or feedback is submitted, Then the brewery should see real-time analytics tracking the number of scans and submissions on their dashboard.

Feedback Dashboard

User Story: As a brewer, I want to access a dashboard that shows consumer feedback trends, so that I can make informed decisions about brewing and product development.
Description: The Feedback Dashboard requirement focuses on creating an accessible interface for breweries to view and analyze consumer feedback collected via QR code scans. This dashboard will aggregate feedback data, providing visualization tools such as charts and graphs to depict trends in customer satisfaction over time. The implementation will enable brewers to respond in real-time to customer insights, implement changes based on the collective feedback, and foster a more consumer-centric approach in their brewing processes. The dashboard will also help in identifying popular flavors and potential areas for improvement.
Acceptance Criteria: Feedback Response Monitoring for Real-time Insights

Given a brewery has received consumer feedback through the SmartLabel QR code, when the feedback is submitted, then it should appear on the Feedback Dashboard within 5 minutes, allowing the brewery to monitor real-time insights.

Visualization of Customer Feedback Trends

Given the Feedback Dashboard is operational, when consumer feedback is aggregated over one month, then visualizations such as charts and graphs should accurately depict trends in customer satisfaction and popular flavors.

User Accessibility for Brewery Staff

Given the Feedback Dashboard is designed for brewery staff, when staff members log in to the dashboard, then they should have access to feedback data and analytics without any technical issues and intuitive navigation.

Search and Filter Functionality for Feedback Data

Given a large volume of consumer feedback, when a brewery staff member uses the search and filter functionality, then specific feedback can be retrieved based on date, sentiment, or flavor profile within 10 seconds.

Exporting Feedback Data for Reporting

Given the need for strategic reporting, when a brewery staff member wants to analyze feedback data outside the platform, then they should be able to export the data in CSV format without data loss.

Alerts for Critical Feedback

Given the feedback has been aggregated, when a consumer rating drops below a predetermined threshold, then a notification should be sent to brewery management within 5 minutes of the feedback submission.

User Training and Support for Dashboard Utilization

Given that the Feedback Dashboard is new, when a brewery staff member accesses the training section, then they should find comprehensive training materials and FAQ support to understand all dashboard functionalities.

Automated Feedback Alerts

User Story: As a brewer, I want to receive alerts for negative feedback submissions, so that I can address customer concerns immediately and improve our products.
Description: The Automated Feedback Alerts requirement ensures that the brewery receives immediate notifications when specific thresholds of feedback ratings or certain keywords are detected. This feature will monitor feedback submissions continuously, alerting the brewing team to any negative reviews or common consumer concerns in real time. The aim is to facilitate swift action in response to consumer issues, ultimately improving product consistency and quality. The implementation will require the development of an alert system integrated with the feedback database.
Acceptance Criteria: Automated feedback alerts trigger when a consumer submits a negative feedback rating via the SmartLabel QR code.

Given a feedback submission with a rating of 2 stars or below, When the feedback is recorded in the database, Then an automated alert should be sent to the brewing team within 5 minutes.

The alert system monitors keyword trends in consumer feedback for common concerns.

Given a feedback submission containing the keywords 'too bitter' or 'not enough flavor', When the feedback is recorded, Then an automated alert should be generated and sent to the brewing team immediately.

The brewery receives daily summaries of feedback ratings and alerts.

Given that the feedback system has accumulated submissions over a 24-hour period, When the brewery reviews the summary report, Then it should include a comprehensive list of feedback ratings and any alerts for negative trends.

Automation of alerts is successfully integrated with the existing feedback database.

Given that new feedback is submitted, When an alert threshold is met, Then the system must ensure that alerts are logged in the alert history and can be reviewed by the brewing team later.

The brewing team acknowledges and addresses alerts received from the automated system.

Given that an alert is received, When the brewing team acknowledges the alert in the system, Then it should update the alert status to 'Acknowledged' and log the response action taken by the team.

The feedback alert system provides real-time monitoring and updates for ongoing consumer concerns.

Given that ongoing feedback is submitted, When a concern persists for more than 48 hours, Then an escalation alert should be triggered for immediate review by the management team.

Feedback alerts are customizable based on the brewery's preferences for what constitutes a threshold.

Given the settings configured by the brewery, When a feedback submission meets the defined thresholds, Then the alert system should trigger notifications accordingly as per the predefined settings.

Customer Segmentation Analysis

User Story: As a marketing manager, I want to analyze customer feedback by demographic segments, so that I can tailor our products and campaigns to specific customer preferences.
Description: The Customer Segmentation Analysis requirement allows breweries to categorize feedback based on different customer demographics or behavior patterns. This segmentation will enable brewers to tailor their products and marketing strategies to specific customer groups, enhancing the relevance of their offerings. The analysis will be conducted using machine learning algorithms to identify patterns and trends in the feedback data, providing deeper insights into varying consumer preferences. This functionality is key in ensuring that craft brewers stay competitive and responsive to market changes.
Acceptance Criteria: Customer submits feedback via the SmartLabel QR code after tasting a new beer at participating retailers.

Given a customer scans the QR code on the SmartLabel, When they submit their feedback, Then the feedback data should be recorded and associated with the correct demographic information.

Brewer analyzes customer feedback segmented by demographics to identify preferences for a specific beer style.

Given the feedback data is collected, When the brewer accesses the segmentation analysis report, Then the report should categorize feedback based on age, gender, and purchase history for targeted insights.

A brewery modifies its marketing strategy based on customer feedback analysis results.

Given the brewery conducts the customer segmentation analysis, When they implement changes based on insights gained, Then an increase in customer engagement and sales in the targeted demographic should be measurable within the next quarter.

Customer feedback submissions are shown in real-time dashboard analytics for immediate insights.

Given feedback is submitted, When it is processed, Then it should reflect in the brewery's real-time dashboard within 10 minutes, showing trends and categories of feedback received.

Machine learning algorithms analyze feedback data to identify trends over time.

Given sufficient historical feedback data, When the machine learning model is trained, Then it should accurately predict future consumer preferences with a confidence level of at least 85% on test data.

Brewery tests the customer feedback loop feature with a sample group before full deployment.

Given a sample group of customers uses the SmartLabel feedback feature, When their responses are analyzed, Then at least 75% should indicate ease of use and satisfaction with the feedback process.

Feedback Response Feature

User Story: As a customer, I want to receive responses from the brewery regarding my feedback, so that I feel valued and engaged with the brand.
Description: The Feedback Response Feature will allow breweries to respond directly to customer feedback submissions. This requirement focuses on creating an interface where brewers can publicly or privately address concerns and thank customers for their input, fostering community engagement. This two-way communication will enhance customer loyalty and trust towards the brand, as consumers feel their opinions and concerns are valued. It will implement a notification system to alert consumers when their feedback has been addressed, thereby increasing engagement rates.
Acceptance Criteria: Customer requests feedback on their recent purchase through the SmartLabel QR code and receives a notification when their feedback is responded to.

Given a customer submits feedback through the SmartLabel, When the brewery responds to the feedback, Then the customer receives a notification of the response via their preferred communication method.

Brewers access the interface to view and respond to customer feedback submissions collected over the past month.

Given the brewers log into the feedback response interface, When they view submissions from customers, Then they can sort feedback by date, type, or sentiment and select feedback to respond to.

A brewer publicly responds to a customer's suggestion about a new beer flavor through the interface.

Given a brewer selects a customer feedback submission, When they write and post a public response, Then the response is visible to all users who can view the feedback, and the customer is notified of the public acknowledgment.

A customer checks whether their previously submitted feedback has been addressed by the brewery.

Given a customer logs into their account, When they navigate to their feedback history, Then they can see the status of each feedback submission and any responses from the brewery.

A brewery wishes to thank customers for positive reviews and feedback submitted through the SmartLabel.

Given a brewer identifies positive feedback from customers, When they respond with a thank-you message, Then the message is sent out as a public response and triggers a notification alerting the customer.

The notification system alerts customers about new responses to their feedback, enhancing engagement.

Given feedback has been responded to, When the notification is sent out, Then each customer who submitted feedback should receive a notification promptly through their selected method.

Brewers analyze aggregated customer feedback data to improve product offerings and customer satisfaction.

Given brewers access the analytics dashboard, When they review feedback trends over the past quarter, Then they can identify key areas for improvement and track changes in customer satisfaction ratings over time.

Consumer Feedback Reporting

User Story: As a business owner, I want to generate reports on consumer feedback and trends, so that I can present our progress and strategies to the team and stakeholders.
Description: The Consumer Feedback Reporting requirement enables breweries to generate detailed reports based on the collected customer feedback. These reports will summarize key insights, highlight trends over time, and provide actionable recommendations for product evolution. This functionality will allow brewers to present their findings in team meetings or for investor reviews. By systematically reporting on consumer feedback, breweries can track the efficacy of their changes and maintain a continuous improvement cycle.
Acceptance Criteria: Consumer submits feedback via the SmartLabel QR code after enjoying a product at home.

Given a consumer scans the SmartLabel QR code, when they provide feedback through the submission form, then the feedback must be successfully saved and associated with the correct product in the system.

A brewery manager generates a report on consumer feedback for the last month in preparation for a team meeting.

Given the manager selects the reporting feature, when they specify the date range and product, then the system must generate a report summarizing the consumer feedback and highlighting key trends without errors.

The brewery wants to analyze consumer feedback trends over the past quarter to inform new product development.

Given the brewery accesses the consumer feedback reporting system, when they filter feedback by category and time period, then the report produced must include visual representations (graphs/charts) illustrating feedback trends over the specified period.

A brewery owner reviews feedback reports to assess the impact of a recent recipe change.

Given that feedback reports are generated for the specified time before and after the recipe change, when the reports are compared, then the owner must see a measurable change in consumer satisfaction ratings and comments regarding the specific product.

The brewery team presents feedback findings to investors during a review meeting.

Given the feedback report is shared, when the team presents them, then all key insights, trends, and actionable recommendations must be clearly communicated and accurately reflect the data in the report.

Consumers provide feedback on a new seasonal product via the SmartLabel QR code during its launch.

Given the seasonal product is launched and SmartLabels are deployed, when consumers scan and provide feedback, then the system must display feedback results in real-time on the brewery's dashboard.

Brewery staff reviews customer feedback for quality control purposes after a batch has been produced.

Given feedback is collected on a specific batch, when brewery staff access the Consumer Feedback Reporting feature, then they must be able to filter feedback specifically relating to the batch in question and see relevant insights efficiently.

Nutritional Information Display

This feature provides detailed nutritional analyses of the beer, accessible through the QR code scan. Consumers can view calorie counts, ingredient breakdowns, and allergen information, catering to health-conscious customers and enhancing transparency.

Requirements

Nutritional Data Integration

User Story: As a health-conscious consumer, I want to scan a QR code on the beer label to easily access detailed nutritional information so that I can make informed choices about my beverage consumption.
Description: This requirement encompasses the integration of a robust database that gathers and stores detailed nutritional information specific to each brew. It will ensure that data such as calorie counts, ingredient breakdowns, and allergen information are accurately compiled and up-to-date. This integration is crucial for enabling the QR code scan feature that provides consumers with immediate access to this data, thereby enhancing transparency and promoting health-conscious drinking choices. The integration should facilitate easy updates to nutritional data as recipes and ingredients change over time, ensuring that consumers always receive accurate information. Furthermore, it should be compatible with Foamly's existing inventory management system to pull real-time data from production batches for nutritional calculations.
Acceptance Criteria: Consumers want to scan a QR code on a beer label to access detailed nutritional information.

Given the consumer scans the QR code, when they view the nutritional information, then the display shows accurate calorie counts, ingredient breakdowns, and allergen alerts that match the current production batch in the system.

Brewers need to update nutritional information after modifying a recipe or ingredient.

Given a brewer updates a recipe, when the nutritional data is recalculated, then the new nutritional information is correctly reflected in the database and accessible via the QR code within 24 hours.

A health-conscious consumer searches for allergen information for a specific beer on the Foamly platform.

Given a consumer selects a beer from the inventory, when they access the nutritional information, then allergen details must be prominently displayed, highlighting any allergens present in the ingredients.

The system administrator integrates a new database for nutritional data within the existing Foamly platform.

Given the nutritional database has been integrated, when a production batch is added, then the system automatically pulls the nutritional information from the database to ensure real-time accuracy in the beer's nutritional data.

Consumers require the information to be reliable and consistent across different platforms.

Given the QR code is scanned from a beer label in any setting (e.g. restaurant, home), when the consumer accesses the information, then the nutritional data displayed must be consistent and accurate across all devices and platforms.

Brewers want to generate reports on nutritional data for compliance and marketing purposes.

Given a brewer requests a report on nutritional data, when the report is generated, then it includes up-to-date information drawn from the database that aligns with the latest production batches and ingredient lists.

User-Friendly QR Code Scanning

User Story: As a user of the Foamly app, I want to effortlessly scan a QR code on a beer label so that I can quickly access relevant nutritional information without any hassle.
Description: This requirement specifies the development of an intuitive QR code scanning feature within the Foamly app. The QR code will be printed on each beer label and, when scanned, will direct the user to a digital portal containing nutritional information specific to that brew. The scanning interface should be user-friendly and quick to respond, ensuring a seamless experience for the consumer. Additionally, it must be capable of functioning with various smartphone cameras and should provide fall-back options for users who may not have the ability to scan QR codes. This feature promotes consumer engagement and enhances the product's appeal to tech-savvy, health-aware customers.
Acceptance Criteria: QR Code Scanning Functionality in Various Lighting Conditions

Given a user is in a low-light environment, when they scan the QR code, then the app should successfully read the QR code within 2 seconds and display the nutritional information.

User Interface Responsiveness for QR Code Scanning

Given the user opens the QR code scanning feature in the app, when they point their camera at the QR code, then the interface should display a visual indicator that scanning is in progress, with a response time of less than 1 second.

Fallback Option for Non-Scanning Users

Given a user cannot scan the QR code, when they click on the link provided on the beer label, then they should be redirected to the nutritional information webpage within 3 seconds.

Compatibility with Different Smartphone Models

Given the user has a smartphone with an average camera resolution, when they scan the QR code, then the app should successfully read the QR code at a distance of up to 5 inches and function on at least 95% of popular smartphone models.

Display of Nutritional Information After Scanning

Given the QR code is successfully scanned, when the user views the nutritional information, then the display should include calorie counts, ingredient breakdowns, and allergen alerts in clear, readable text within 3 seconds.

Error Handling for Failed Scans

Given a user attempts to scan a QR code but it fails, when the failure occurs, then the app should provide a user-friendly error message and options to try again or access the information via a provided link, all within 2 seconds.

Dynamic Update of Nutritional Information

Given the brewing company updates its nutritional information, when a user scans the QR code, then they should be able to access the most recent nutritional information within 24 hours of the update being made.

Nutritional Information Dashboard

User Story: As a brewer, I want to create a nutritional information dashboard that my customers can access so that they can view detailed analyses of the beers I offer, promoting transparency and informed consumption.
Description: This requirement entails the development of a comprehensive dashboard within the Foamly app that displays nutritional information for various beers. This dashboard will be accessible via the scanning of a QR code and should present information visually in an easy-to-understand format. Users should be able to filter beers by specific nutritional highlights (e.g., low calories, gluten-free) and save their favorites for quick access. The dashboard should incorporate full details such as links to production batches for verification and additional context, thereby fostering trust and transparency with consumers. By creating this dashboard, Foamly enhances the consumer experience, aligning with the trend of increasing demand for transparency in food and drink production.
Acceptance Criteria: Consumer scans a QR code on a beer label to view its nutritional information.

Given the consumer has scanned a valid QR code, When the nutritional information dashboard loads, Then the dashboard should display the calorie count, ingredient breakdown, and allergen information for the specific beer.

A consumer wants to filter beers based on specific nutritional highlights.

Given the consumer is on the nutritional information dashboard, When they apply filters for 'low calories' and 'gluten-free', Then the dashboard should update to show only beers that meet these criteria.

A consumer wishes to save their favorite beers for easy access later.

Given the consumer views a beer's nutritional information, When they select the 'Save to Favorites' option, Then the beer should be added to their list of favorites which can be accessed from the dashboard.

A consumer needs to verify the nutritional information presented on the dashboard.

Given the consumer is viewing nutritional information for a specific beer, When they click on the link to the production batch, Then the system should redirect to the relevant production information that verifies the displayed data.

A consumer wants to access a comprehensive view of nutritional data on their mobile device.

Given the nutritional information dashboard is opened on a mobile device, When the consumer scrolls through the data, Then the information should be displayed responsively without losing legibility or usability.

A consumer needs assurance about the transparency and quality of the information presented.

Given the consumer accesses the nutritional dashboard, When they view the allergen information, Then clear disclaimers should be displayed about the source of information and its accuracy.

Regular Nutritional Updates and Notifications

User Story: As a brewer, I want to receive notifications about changes in nutritional information so that I can keep my customers updated and maintain transparency.
Description: This requirement focuses on establishing a system for regularly updating nutritional data based on new brewing processes or ingredient adjustments. This system will notify both brewers and consumers when significant changes occur, maintaining consistency and accuracy in the nutritional information provided. The updates should be integrated into Foamly's existing workflow, minimizing manual entry and errors, whilst ensuring consumers are alerted to changes that may impact their dietary choices. This capability underscores Foamly's commitment to transparency and reliability in the brewing industry, allowing brewers to quickly communicate changes without confusion and empowering consumers to stay informed.
Acceptance Criteria: Brewer receives a notification when nutritional information is updated following a significant change in ingredients or brewing processes.

Given a significant change in the recipe, when the nutritional information is updated, then the brewer receives a notification within 24 hours informing them of the change.

Consumer scans the QR code and accesses the most current nutritional information displayed on Foamly.

Given a consumer scans the QR code on the beer label, when they access the nutritional information, then it matches the latest updates made in the system within the last 48 hours.

The system automatically tracks and flags any discrepancies in the nutritional information due to ingredient changes.

Given an ingredient change is made, when the nutritional information is recalculated, then the system flags any discrepancies for review by the brewer within 24 hours.

Brewer can manually update nutritional information in case of minor changes not triggering automatic notifications.

Given a minor ingredient adjustment, when the brewer manually inputs the update, then the system successfully saves the changes and notifies the consumers about the update through the app.

Data analytics track consumer engagement with nutritional information post-update.

Given a nutritional update occurs, when consumers access the updated information, then the system captures engagement metrics, reporting at least a 10% increase in scans within a month.

Inventory management integrates seamlessly with changes in the nutritional information to reflect accurate stock data.

Given a recipe update modifies nutritional values, when the inventory is reviewed, then it shows updated ingredient quantities related to the brews with accurate nutritional data without manual entry errors.

Brewer trains new staff on the nutritional update notification process and its impact on production.

Given a training session, when new staff is trained, then they can successfully identify the nutritional update process and articulate its significance in maintaining product quality and transparency to consumers.

Consumer Feedback Mechanism

User Story: As a consumer, I want to provide feedback on the nutritional information I accessed so that I can help improve transparency and communication with breweries.
Description: This requirement involves the creation of a feedback mechanism within the app that allows consumers to submit their thoughts and ratings on the nutritional information provided. This feedback will be invaluable for brewers to understand consumer perceptions and needs regarding their products. The system should allow users to rate the nutritional information's clarity and usefulness and leave comments or suggestions for improvement. This will not only enhance user engagement but also provide brewers with actionable insights that can drive future updates and innovations. Overall, this feature will help strengthen the relationship between consumers and brewers by ensuring a continuous dialogue and fostering a community centered around craft beer.
Acceptance Criteria: Consumer successfully submits feedback on the nutritional information displayed in the app after scanning the QR code.

Given a consumer has viewed the nutritional information of a beer through the QR code, when they submit feedback rating the clarity and usefulness of the information along with a comment, then the feedback should be stored in the system and acknowledged with a confirmation message.

Consumers can view their submitted feedback and change their ratings or comments if desired.

Given a consumer has previously submitted feedback, when they navigate to the feedback history section of the app, then they should see all their past feedback submissions and have the option to edit or delete any entry.

Brewers are able to access and analyze consumer feedback regarding the nutritional information.

Given a brewer is logged into the admin section of the app, when they navigate to the consumer feedback module, then they should see a dashboard displaying all feedback ratings, comments, and trends over time relative to the nutritional information.

Consumers can report issues or suggest improvements regarding the nutritional information display within the app.

Given a consumer is reviewing nutritional information, when they find a potential issue or have a suggestion, then they should be able to access a reporting feature that allows them to submit their concerns with a description, which gets logged for review.

The feedback mechanism is intuitive and user-friendly for consumers.

Given a consumer is using the app, when they encounter the feedback submission section, then they should find it accessible and straightforward, with clear instructions and minimal steps to complete their feedback submission.

Notifications are sent to brewers when new consumer feedback is submitted.

Given a feedback submission has been made by a consumer, when the feedback is successfully recorded in the system, then the brewer should receive an automatic notification alerting them of the new feedback submission.

POS Integration Hub

The POS Integration Hub allows breweries to seamlessly connect their point-of-sale systems directly with Foamly. This feature ensures that inventory levels, sales data, and customer information are automatically synchronized, providing real-time insights into sales performance and inventory status. By minimizing manual data entry and errors, this enhances operational efficiency and helps brewers make quicker, data-driven decisions.

Requirements

Real-time Sales Synchronization

User Story: As a brewery manager, I want real-time sales data to be reflected in my inventory system so that I can make informed decisions about restocking and production planning without delays.
Description: The Real-time Sales Synchronization requirement focuses on automatically syncing sales data from the POS system with Foamly’s inventory management module. This integration allows breweries to maintain up-to-date inventory records directly tied to sales transactions, reducing the risk of stockouts or overstock situations. It enhances operational efficiency by providing brewers with accurate data on sales performance, facilitating timely decision-making regarding inventory replenishment and production planning. By minimizing the need for manual entry, this feature decreases human error and ensures data integrity across the system, ultimately improving the overall management of brewery resources and operations.
Acceptance Criteria: Real-time sales synchronization between Foamly and the POS system during peak sales hours at the brewery when multiple transactions occur simultaneously.

Given the POS system is integrated with Foamly, when a sale is made, then the inventory levels in Foamly must update in real-time within 5 seconds of the transaction.

Testing the accuracy of sales data between the POS and Foamly after a day's worth of transactions at the brewery to ensure consistency and correctness of records.

Given a full day's sales are processed, when viewing the sales report in Foamly, then the total sales figures must match the sales data exported from the POS accurately within a 1% margin of error.

A brewery manager needs to evaluate inventory after a promotional event to determine whether the sales data reflects the inventory depletion.

Given a promotional event has concluded, when the manager checks the inventory levels in Foamly, then the reported inventory must reflect the sales made during the event, showing a decrease equivalent to the sales made.

Determining if the POS integration can handle system downtimes and still ensure data consistency once the systems are back online.

Given the POS system experiences temporary downtime, when the system is restored, then any sales made during the downtime should synchronize with Foamly without any data loss or duplication.

Training staff on the new POS system integration with Foamly to ensure they understand how sales affect inventory management.

Given staff training sessions, when the staff successfully demonstrates the ability to process a sale and observe the resulting inventory update in Foamly, then at least 90% of the staff must be able to perform this action effectively without errors.

Automated Inventory Adjustment

User Story: As a brewer, I want my inventory levels to automatically adjust with each sale so that I can avoid stock discrepancies and maintain steady supply for my customers.
Description: The Automated Inventory Adjustment requirement ensures that each sales transaction at the POS system triggers an immediate update to the inventory levels within Foamly. This automation eliminates the manual process of adjusting inventory counts after each sale, significantly increasing efficiency and accuracy in stock management. By reflecting real-time changes in inventory data, this feature helps brewers maintain optimal stock levels, minimize waste, and reduce the chances of running out of popular items. This is vital for ensuring that breweries can meet customer demand effectively while keeping a tight control over their stock.
Acceptance Criteria: Sales transaction at the POS is processed successfully during business hours, and an item is purchased, prompting the automated inventory adjustment in Foamly.

Given a successful sales transaction in the POS, when an item is sold, then the corresponding inventory level in Foamly should decrease by the sold quantity immmediately.

Multiple sales transactions occur concurrently during peak hours at the brewery, requiring real-time inventory adjustments to avoid discrepancies.

Given multiple sales transactions occurring simultaneously, when each transaction is processed at the POS, then all corresponding inventory levels in Foamly should accurately reflect the reductions in real-time without delays.

A customer returns an item that was previously purchased, necessitating an increase in inventory levels.

Given a return transaction at the POS, when the item is returned, then the corresponding inventory level in Foamly should increase by the returned quantity immediately.

A sales transaction takes place for an item that is low in stock, prompting an automated alert to inform the team.

Given a sales transaction for an item with low inventory, when the transaction is completed, then the inventory adjustment in Foamly should trigger an alert to notify the brewery team that stock needs replenishment.

Sales data synchronization occurs at the end of the day to ensure sales reports reflect accurate inventory levels.

Given that the sales period for the day has ended, when a synchronization process is initiated, then Foamly should reflect the total sales and adjusted inventory levels for accurate end-of-day reporting.

An item is added to the inventory in Foamly, and a subsequent sale occurs for that item through the POS.

Given an item has been successfully added to inventory in Foamly, when a sale is processed through the POS for that item, then the inventory should adjust correctly reflecting the sale.

A comprehensive testing phase where various scenarios of sales and returns are executed to ensure full functionality of the automated inventory adjustment feature.

Given various sales and return transactions have been executed, when all transactions are completed, then all inventory levels in Foamly should accurately reflect the changes with no discrepancies noted.

Customer Insights Dashboard

User Story: As a sales analyst, I want to view customer purchasing trends in an intuitive dashboard so that I can devise targeted marketing strategies to enhance sales.
Description: The Customer Insights Dashboard requirement aims to provide brewers with access to comprehensive analytics derived from customer data collected through the POS system. This feature will allow breweries to analyze purchasing trends, customer preferences, and sales performance metrics. By leveraging this data, brewers can tailor their marketing strategies and product offerings to align more closely with customer behavior, ultimately leading to increased sales and customer satisfaction. The dashboard's user-friendly interface will facilitate quick access to key metrics, enabling brewers to make data-driven decisions swiftly.
Acceptance Criteria: Accessing Customer Insights on the Dashboard

Given that a brewer has logged into the Foamly platform, when they navigate to the Customer Insights Dashboard, then they should see a summary of customer purchasing trends over the past month, including total sales, most purchased items, and customer demographics.

Real-Time Data Synchronization

Given that sales data has been captured by the POS system, when this data is synced with the Foamly platform, then the Customer Insights Dashboard should reflect the updated sales metrics within 5 minutes of the sale occurrence.

Filtering Analytics by Date Range

Given that a brewer is viewing the Customer Insights Dashboard, when they select a specific date range from the filters, then the dashboard should display analytics that only correspond to that date range, including sales performance and customer preferences.

Exporting Customer Insights Data

Given that a brewer has accessed the Customer Insights Dashboard, when they choose to export the analytics data, then they should be able to download the report in CSV format containing all relevant customer insights.

Receiving Alerts for Sales Trends

Given that a brewer has set up alerts for significant changes in sales trends, when there is a 20% increase or decrease in sales over a week, then the brewer should receive a notification on the platform and via email regarding this change.

Visual Representation of Customer Preferences

Given that a brewer views the Customer Insights Dashboard, when they look at the visual graphs and charts provided, then they should clearly see trends in customer preferences, such as popularity of specific products and customer segments, in an easily understandable format.

User Access Permissions for Customer Insights

Given that different users have varying roles in the brewing operation, when a user attempts to access the Customer Insights Dashboard, then their access should be restricted based on their assigned role and permissions within the Foamly platform.

Data Security Compliance

User Story: As a compliance officer, I want to ensure that customer data is securely handled and meets regulatory standards so that our brewery can operate without legal repercussions.
Description: The Data Security Compliance requirement is essential for ensuring that all customer and sales data exchanged between the POS systems and Foamly is secured and compliant with data protection regulations. This includes implementing encryption techniques and access control measures to protect sensitive information from unauthorized access or breaches. By focusing on data security, this requirement not only safeguards customer trust but also ensures that the brewery meets regulatory obligations, thereby avoiding potential fines and penalties. This component is critical in maintaining the integrity of customer data and reinforcing the brewery’s reputation.
Acceptance Criteria: Data Transmission Over HTTPS for POS Integration Hub

Given the POS Integration Hub is configured, when a data request is made between the POS system and Foamly, then the data must be transmitted using HTTPS encryption to ensure that it is secure during transmission.

User Authentication for Access Control

Given a user attempts to access customer and sales data via the POS Integration Hub, when they enter their credentials, then their access must be authenticated against the defined user roles and permissions in Foamly to prevent unauthorized access.

Data Encryption at Rest

Given that customer and sales data is stored within Foamly, when the data is saved, then it must be encrypted using industry-standard encryption methods to ensure data security even when stored.

Audit Trail for Data Access and Modifications

Given that user actions are performed on customer and sales data within the POS Integration Hub, when a user accesses or modifies any data, then an audit log must be generated capturing the user ID, timestamp, and nature of the actions taken.

Compliance with Data Protection Regulations

Given that the POS Integration Hub is operational, when customer and sales data is collected and processed, then it must comply with applicable data protection regulations (such as GDPR or CCPA) to ensure the legal handling of personal data.

Secure API Endpoint Access

Given the API endpoints connecting the POS system and Foamly, when a request is made to the API, then it must enforce token-based authentication to verify the identity of the requester and prevent unauthorized access.

Customizable Reporting Tools

User Story: As a brewery owner, I want the ability to customize my reports to focus on the metrics most important to my business so that I can make informed decisions that drive growth.
Description: The Customizable Reporting Tools requirement allows brewers to create tailored reports based on the integrated sales and inventory data from the POS system. This feature enables users to filter, sort, and generate detailed reports that align with their specific business needs and performance metrics. By having access to customizable reporting capabilities, breweries can analyze various aspects of their operations more effectively, whether it’s monitoring sales trends, assessing inventory turnover rates, or evaluating customer behavior. This feature enhances data-driven decision-making and allows breweries to adapt their strategies in a timely manner to meet market demands.
Acceptance Criteria: Customizable report generation for sales performance analysis

Given the user is logged into Foamly, when they navigate to the Customizable Reporting Tools section and select 'Sales Performance', then they should be able to filter the report by date range, product, and sales representative, and generate a detailed report showing total sales, sales per product, and representative performance metrics.

Creating an inventory turnover report for specific products

Given the user is on the reporting dashboard, when they choose the 'Inventory Turnover' report type and select a specific product, then they should be able to see a report detailing the product's inventory levels, sales over the selected period, and turnover rate as a percentage.

Exporting customizable reports to CSV format

Given the user has generated a customized report, when they choose the 'Export' option and select 'CSV' as the format, then the report should be downloaded successfully in CSV format without any loss of data or formatting errors.

Accessing detailed customer behavior analysis

Given the user is in the Customizable Reporting Tools, when they select the 'Customer Behavior' report and apply filters such as purchase frequency and average spend, then they should be able to view detailed insights into customer patterns and trends.

Scheduling automated report generation and email delivery

Given the user has created a customizable report, when they set up a schedule for automated report generation and enter valid email addresses for delivery, then the system should successfully send the report to the provided emails on the specified schedule without errors.

Viewing a summary dashboard of all generated reports

Given the user navigates to the summary dashboard, when they access the 'Reports' section, then they should see a comprehensive list of all generated reports, including their types, generation dates, and any scheduled future reports.

Implementing user permissions for report access

Given the user is an administrator, when they set permissions for team members regarding report access, then only users with the appropriate permissions should be able to view, edit, or generate specific reports as set by the administrator.

User Access Management

User Story: As a system administrator, I want to manage user access levels so that I can protect sensitive data and ensure that only authorized personnel can access critical functionalities.
Description: The User Access Management requirement provides a framework for managing user roles and permissions within the Foamly and POS integration system. This feature enables brewery administrators to set specific access levels for different users, ensuring that sensitive information is only accessible to authorized personnel. With this capability, breweries can enhance data security and maintain control over operations by restricting access to critical functions and information. This requirement is vital in ensuring that operational integrity is upheld while allowing multiple users to collaborate efficiently within the system.
Acceptance Criteria: User Role Assignment for Brewery Administrators

Given an administrator user, when they access the User Access Management section, then they should be able to assign user roles to different personnel, including permissions for viewing and editing inventory, sales data, and customer information.

Permission Restriction Verification

Given a user with specific roles and permissions, when they attempt to access restricted sections of the system, then they should receive a 'permission denied' message, ensuring sensitive information is not available to unauthorized personnel.

User Access Audit Logging

Given any user interaction within the User Access Management, when access changes are made, then the system should log the changes with timestamps and user identification for audit purposes.

Bulk User Role Updates

Given a group of users, when an administrator selects multiple users for role updates, then they should be able to apply role changes to all selected users simultaneously without errors.

User Access Level Display

Given a logged-in administrator, when they view the user management interface, then the system should clearly display each user's access levels and permissions in a user-friendly format.

User Notification of Access Change

Given a change in user access permissions, when the change is saved, then the affected user should receive a notification email informing them of their updated access rights.

Security Compliance Testing

Given the User Access Management system, when security protocols are tested, then the system must meet established security standards to protect sensitive information from unauthorized access.

E-Commerce Link

The E-Commerce Link feature enables breweries to effortlessly integrate their online storefronts with Foamly. This connection automates inventory updates, order management, and customer data syncing, streamlining the online sales process. By unifying e-commerce operations within the Foamly platform, breweries can respond to customer demand more swiftly and reduce out-of-stock scenarios, leading to increased sales and customer satisfaction.

Requirements

Seamless E-Commerce Integration

User Story: As a brewery owner, I want to integrate my e-commerce store with Foamly so that I can automate inventory management and order fulfillment, thus improving operational efficiency and customer satisfaction.
Description: The Seamless E-Commerce Integration requirement involves the development of a robust API that allows breweries to connect their existing online storefronts with the Foamly platform. This integration will automate the synchronization of inventory levels, enabling real-time updates as sales are made, thereby ensuring accurate stock levels are maintained. Furthermore, it will streamline order management processes, allowing breweries to handle customer orders directly through the Foamly interface. The outcome of this requirement is to enhance efficiency in order processing, reduce human error, and improve the overall customer experience, ensuring that breweries can meet demand without overstocking or running out of products.
Acceptance Criteria: Integration of Brewery's Online Storefront with Foamly API

Given the brewery has connected their online storefront to the Foamly platform, When a customer places an order, Then the inventory levels in Foamly are updated in real-time to reflect the sale.

Automating Inventory Updates During Sales Events

Given a sales event is occurring on the brewery's online storefront, When multiple orders are placed simultaneously, Then Foamly updates inventory levels accurately without errors or delays.

Order Management Interface in Foamly

Given that the brewery receives an order through Foamly from the online store, When the order is processed, Then the brewery can view and manage the order directly in the Foamly interface, including updates and status tracking.

Handling Out-of-Stock Notifications

Given the inventory level of a product reaches zero due to sales, When a customer attempts to purchase this product, Then the system notifies the customer that the item is out of stock and prevents the transaction.

Syncing Customer Data Between Platforms

Given that a customer places an order through the online storefront, When the order is completed, Then the customer's data (name, contact information, order history) is synchronized and updated in Foamly automatically.

Real-Time Analytics on Sales Performance

Given the integration is active, When sales occur through the online storefront, Then Foamly generates real-time analytics reports on sales performance, product demand, and inventory turnover rates.

Testing Response Time During Peak Sales

Given that the brewery expects high traffic during a holiday sale, When customers simultaneously access the Foamly platform for inventory updates, Then the response time remains under 2 seconds for all API calls.

Automated Inventory Updates

User Story: As a brewer, I want to receive automatic updates on my inventory levels as orders are placed online so that I can ensure I never run out of stock and can plan my production effectively.
Description: The Automated Inventory Updates requirement focuses on ensuring that stock levels are automatically adjusted in Foamly whenever there are changes in sales processed through the e-commerce platform. This feature is critical for providing breweries with accurate, real-time inventory data, which is essential for both production planning and preventing stockouts. The implementation will involve creating a background synchronization process that operates continuously to update inventory as purchases occur, along with alerts for low stock situations. This ensures that breweries can respond proactively to inventory demands and helps avoid lost sales from unavailable products.
Acceptance Criteria: Automated Update of Stock Levels After Online Purchase

Given a customer places an order on the e-commerce platform, when the order is completed, then the stock level of the sold items in Foamly should automatically decrease by the quantity sold with no manual intervention required.

Real-time Inventory Display

Given that the inventory has been updated following a sale, when a user checks the available stock in Foamly, then the displayed stock levels should accurately reflect the current inventory status in real time, including deductions from recent sales.

Low Stock Alert Triggering

Given the inventory level of a product falls below a predefined threshold, when the inventory update process occurs, then an alert should be triggered in Foamly notifying the brewer of low stock levels for that product.

Successful Synchronization Check

Given the e-commerce platform processes multiple orders simultaneously, when the synchronization process runs, then all inventory changes should be accurately reflected in Foamly without discrepancies or data loss.

User-Friendly Feedback on Stock Updates

Given an inventory update occurs, when a user views the updates in Foamly, then the updates should be presented clearly with a timestamp and details of what items were adjusted, enhancing user awareness and trust in the system.

Handling of Partial Fulfillment Orders

Given a partial fulfillment order from the e-commerce platform, when the stock is updated in Foamly, then only the quantity shipped should be deducted from inventory, leaving remaining stock untouched for future sales.

Integration with Existing ERP Systems

Given the brewery's current ERP systems, when the Automated Inventory Updates feature is implemented, then it should seamlessly integrate with the ERP without requiring additional manual data entry or adjustments.

Customer Data Synchronization

User Story: As a marketing manager, I want to synchronize customer data between Foamly and our online store so that I can better understand customer preferences and improve our marketing strategies.
Description: The Customer Data Synchronization requirement aims to ensure that all customer data, including order history and preferences, is consistently updated between the Foamly platform and the e-commerce link. This synchronization allows breweries to maintain accurate customer records that are essential for personalized marketing efforts and effective customer service. The implementation will include creating a seamless data transfer mechanism that ensures no data is lost during synchronization and that updates occur in real-time. The expected outcome is that breweries will have enhanced insights into customer behavior, enabling targeted sales initiatives and improving retention rates.
Acceptance Criteria: Customer data synchronization during an online order placement on the e-commerce storefront.

Given a customer places an order on the e-commerce platform, when the order is submitted, then the customer’s order history must be updated in real-time in the Foamly platform without any data loss.

Updating customer preferences when changes are made on the Foamly platform or the e-commerce link.

Given that a customer updates their preferences on the Foamly platform, when the update is saved, then the changes should be reflected in the e-commerce system within 5 minutes.

Retrieving customer data for targeted marketing initiatives.

Given the customer data has been synchronized successfully, when querying customer preferences and order history, then the data returned should accurately reflect the most recent information from both systems.

Syncing customer data when a new customer is added to the Foamly platform.

Given that a new customer is created in the Foamly platform, when the integration process runs, then the customer should appear in the e-commerce platform with all relevant details within 10 minutes.

Handling errors in customer data synchronization process.

Given there is an error during the data synchronization, when the system logs the error, then an alert notification should be triggered to the admin within 1 minute of the error occurrence.

Ensuring consistency in customer data across both platforms.

Given that customer data has been synchronized, when comparing data between Foamly and the e-commerce platform, then all fields must match exactly for at least 98% of records after sync.

Testing the synchronization performance under high load.

Given a peak sales period, when multiple orders are placed simultaneously on the e-commerce platform, then the customer data synchronization process must maintain a completion time of less than 2 seconds per transaction.

Real-time Order Tracking

User Story: As a customer, I want to track my order in real-time so that I can know when to expect my delivery and reduce uncertainty about my purchase.
Description: The Real-time Order Tracking requirement introduces a feature that allows customers to track their orders directly through the e-commerce platform, with updates fed from Foamly. This capability enhances customer satisfaction by providing transparency regarding order status, reducing inquiries about order fulfillment. The implementation involves developing a user interface for order tracking and backend systems that promptly update order statuses as they progress through the brewing and shipping process. This feature is essential for fostering trust and improving the customer experience by keeping them informed every step of the way.
Acceptance Criteria: Customer navigates to the order tracking section of the e-commerce platform after completing their purchase to check the status of their order.

Given the customer has placed an order, when they access the order tracking section, then they should see real-time updates reflecting the current status of their order (e.g., 'Order Received', 'In Production', 'Shipped').

Customer receives notification emails when their order status changes from 'In Production' to 'Shipped'.

Given an order status has changed, when the status updates to 'Shipped', then an email notification should be sent to the customer containing the tracking information.

Customer clicks on the tracking link in their order confirmation email to view the order status directly on the e-commerce site.

Given the customer has received an order confirmation email, when they click the tracking link, then they should be redirected to the order tracking page and see their order status without needing to log in.

Brewery personnel update the order status in Foamly as it progresses through various stages of fulfillment.

Given the brewery personnel updates the order status within Foamly, when the status is updated to any of the defined stages (e.g., 'In Production', 'Completed'), then the customer tracking interface should immediately reflect this change.

Customer attempts to track an order that does not exist or has not been processed.

Given a customer enters an invalid order number, when they attempt to track their order, then they should receive an error message indicating that the order cannot be found.

A customer checks their order tracking during peak hours when traffic is high on the e-commerce platform.

Given high traffic conditions on the e-commerce platform, when a customer accesses the order tracking feature, then the system should respond within 2 seconds to ensure a smooth user experience.

Backend system incidents lead to delayed updating of order statuses in Foamly.

Given a scenario where system errors occur, when an order status is delayed for more than 10 minutes to reflect changes in Foamly, then the system must log the error and notify system administrators for immediate attention.

Sales Analytics Dashboard

User Story: As a brewery owner, I want to access a sales analytics dashboard that shows me real-time sales data and trends so that I can make informed decisions about my product offerings and marketing strategies.
Description: The Sales Analytics Dashboard requirement involves creating a comprehensive analytics tool within Foamly that tracks sales performance from the e-commerce integration. This tool will provide breweries with insights into sales trends, top-selling products, and customer purchasing behaviors, enabling data-driven decisions. The implementation will include data visualization components to present this information in an intuitive format. This dashboard is crucial for breweries to identify opportunities for growth, optimize inventory, and tailor marketing efforts based on their sales data—ultimately leading to enhanced revenue generation.
Acceptance Criteria: Sales Performance Over Time Tracking

Given a user has access to the Sales Analytics Dashboard, when they select a date range, then sales performance data for that time period should be displayed accurately with up-to-date figures and trends.

Top-Selling Products Identification

Given a user is viewing the Sales Analytics Dashboard, when they navigate to the top-selling products section, then the dashboard should display a list of products ranked by units sold during the selected time frame.

Customer Purchasing Behavior Analysis

Given a user has access to customer insights within the Sales Analytics Dashboard, when they filter data by customer demographics, then the dashboard should provide graphs and charts representing purchasing patterns based on the selected filters.

Real-Time Data Refresh for Sales Metrics

Given a user is currently viewing the Sales Analytics Dashboard, when an order is placed through the e-commerce integration, then the sales metrics should update in real-time to reflect the new data without needing to refresh the page.

Exporting Sales Data for Reporting

Given a user is on the Sales Analytics Dashboard, when they click the export button, then they should be able to download a report in CSV format that includes all selected sales metrics and insights.

Visual Representation of Sales Trends

Given a user has accessed the Sales Analytics Dashboard, when they select a specific metric to visualize, then the dashboard should dynamically generate a corresponding chart (e.g., line graph or bar chart) to demonstrate the sales trend visually.

Supplier Management Portal

The Supplier Management Portal provides breweries with a centralized system to manage relationships with suppliers. Users can track orders, monitor lead times, and maintain supplier contact information all within Foamly. This feature enhances procurement efficiency, allows for timely reordering of materials, and supports better negotiation on pricing, ultimately leading to cost savings and stronger supply chain partnerships.

Requirements

Supplier Information Management

User Story: As a procurement manager, I want to easily access and update all supplier information in one centralized location so that I can ensure accurate communications and optimize our supplier relationships.
Description: The Supplier Information Management requirement entails creating a comprehensive repository within the Supplier Management Portal to store and organize all relevant supplier details. This includes contact information, payment terms, delivery schedules, and performance metrics. The functionality will enable users to easily access and update supplier information, ensuring that data remains accurate and current. This requirement is vital for minimizing miscommunication and improving supplier relationships by providing a clear overview of each supplier's contributions and performance. Additionally, it will facilitate better decision-making regarding supplier selection and negotiation processes, ultimately leading to enhanced procurement efficiency and cost savings.
Acceptance Criteria: Supplier Information Repository Access and Usability

Given a user is logged into the Supplier Management Portal, when they access the Supplier Information Management section, then they should be able to view a complete list of all suppliers with their relevant details displayed clearly and organized in a user-friendly manner.

Supplier Information Update Functionality

Given a user is viewing a specific supplier's information, when they update any field such as contact information or performance metrics and save the changes, then the updated information should be reflected immediately in the repository without errors.

Supplier Performance Tracking

Given a user has entered performance metrics for a supplier, when they generate a performance report for that supplier, then the report should accurately reflect all recorded metrics over the specified timeframe, including lead times and delivery reliability.

Search and Filter Capability in Supplier Management

Given a user is in the Supplier Information Management section, when they use the search and filter functionality to find a specific supplier, then the system should return only those suppliers that match the search criteria, displaying their relevant information.

Bulk Update of Supplier Information

Given a user has a list of supplier updates, when they perform a bulk upload through the Supplier Management Portal, then all updates should be processed correctly, and any errors should be reported accurately for the user to address.

Data Accuracy and Validation Checks

Given a user attempts to enter supplier information, when they enter invalid data (e.g., incorrect email format), then the system should present an error message prompting for correction before allowing the user to save the information.

Supplier Contact Information Retrieval

Given a user is in the Supplier Management Portal, when they select a specific supplier, then the system should provide access to all associated contact details, including primary contacts, phone numbers, and email addresses, without delay.

Automated Order Tracking

User Story: As an inventory manager, I want to receive automatic updates on my purchase order statuses so that I can monitor my supplies effectively and avoid potential disruptions in production.
Description: The Automated Order Tracking requirement focuses on implementing a system that tracks purchase orders in real time, providing updates on order status, shipment tracking, and lead times directly within the Supplier Management Portal. This feature will notify users of any delays or changes in order status, reducing uncertainty and enabling timely actions to be taken. By automating this process, breweries can efficiently manage their inventory levels and minimize risks related to stockouts or overstock situations. The anticipated outcome is a more streamlined procurement process that enhances supply chain reliability and efficiency.
Acceptance Criteria: Real-time Order Status Monitoring

Given a supplier has been selected, when a purchase order is placed, then the system should provide real-time updates on the order status including processing, shipped, and delivered.

Automated Shipment Tracking Notifications

Given an order is shipped, when the shipment tracking information is available, then the system should automatically notify the user through the Supplier Management Portal and send an email alert.

Lead Time Alerts for Delayed Orders

Given an order placed with a supplier, when the expected lead time changes, then the system should update the user in real-time and provide options to modify the order or seek alternatives.

Historical Order Data Access

Given the user is in the Supplier Management Portal, when they select an order from the past, then the system should display detailed historical data including status updates, lead times, and any communication with the supplier.

Integration with Inventory Levels

Given a purchase order placed, when the order status is updated, then the system should automatically adjust inventory levels to reflect the current stock based on incoming orders.

Supplier Performance Metrics

Given multiple orders have been placed with a supplier, when the user navigates to the supplier metrics dashboard, then the system should display key performance indicators such as average lead time and late deliveries.

Supplier Performance Analytics

User Story: As a brewery owner, I want to analyze my suppliers' performance metrics so that I can make data-driven decisions about which suppliers to continue working with and how to negotiate better contracts.
Description: The Supplier Performance Analytics requirement involves developing tools within the Supplier Management Portal to analyze and report on supplier performance metrics, including delivery punctuality, quality of materials, and pricing competitiveness. Visualization of this data through dashboards and reports will help breweries identify trends and assess supplier reliability over time. By leveraging these insights, users can make informed decisions about supplier partnerships, negotiate better terms, and respond proactively to any potential issues, fostering stronger relationships and optimizing procurement strategies.
Acceptance Criteria: Supplier Performance Dashboard Access

Given a user with appropriate permissions, when they access the Supplier Management Portal and navigate to the Supplier Performance Analytics section, then they should see a dashboard displaying key performance metrics such as delivery punctuality, quality ratings, and pricing history for each supplier.

Supplier Performance Reporting

Given that the user has selected a specific supplier from the dashboard, when they request a detailed report on that supplier's performance over the last six months, then the system should generate a report including metrics on delivery times, material quality, and price comparisons.

Supplier Comparison Functionality

Given multiple suppliers are being analyzed, when the user initiates a supplier comparison from the analytics dashboard, then the system should display a side-by-side comparison of key metrics for the selected suppliers to facilitate decision-making.

Alert for Poor Supplier Performance

Given the performance metrics are being tracked, when a supplier's delivery punctuality falls below 80% for two consecutive months, then the system should trigger an alert notifying the user of potential performance issues.

User Feedback on Analytics Tools

Given that the Supplier Performance Analytics tools are live, when users interact with the dashboards and reports, then they should have the ability to provide feedback on usability and features, which is logged for future enhancements.

Integration with Inventory Management

Given that the Supplier Performance Analytics are displayed, when the user selects a supplier with persistent quality issues, then the system should suggest adjustments to inventory levels based on the supplier’s performance history.

Export Performance Data

Given a user is viewing supplier performance metrics, when they select to export the data, then the system should provide the option to download the data in CSV or Excel format for offline analysis.

Real-Time Lead Time Calculator

User Story: As a production planner, I want to accurately calculate lead times for orders so that I can align my production schedule with supply availability.
Description: The Real-Time Lead Time Calculator requirement aims to implement an interactive tool within the Supplier Management Portal that calculates and displays lead times for best-practice procurement based on historical data and supplier performance dynamics. Users can input their order specifications and receive real-time insights on expected lead times, helping them plan production schedules accurately. This feature enhances planning and minimizes surprises regarding supplier delivery capabilities, which is crucial for maintaining production timelines and operational efficiency.
Acceptance Criteria: User inputs order specifications for raw materials in the Real-Time Lead Time Calculator within the Supplier Management Portal.

Given the user has an active Supplier Management Portal account, when they enter the specifications for raw materials, then the system calculates and displays the expected lead time based on historical data and supplier performance.

User receives notifications when the calculated lead time changes based on input variations.

Given the user has previously entered order specifications, when they modify any input associated with the lead time calculation, then the system updates the expected lead time and sends an alert regarding the change.

User queries historical lead time data to understand trends before making a procurement decision.

Given the user is on the Supplier Management Portal, when they select a supplier and view historical lead time data, then the system displays a graphical representation of lead times over the past six months to aid in decision-making.

User successfully exports lead time data for reporting purposes.

Given the user has accessed the Real-Time Lead Time Calculator, when they request to export lead time data, then the system generates a downloadable report in CSV format that includes all relevant procurement insights.

User encounters an error while inputting order specifications and receives helpful feedback.

Given the user is entering data for lead time calculation, when they input an incorrect or incomplete specification, then the system displays an error message prompting the user to correct the error while detailing what needs to be fixed.

User accesses the help documentation for the Real-Time Lead Time Calculator.

Given the user is on the Supplier Management Portal, when they click on the help icon, then the system presents a pop-up with comprehensive guidance on how to use the Real-Time Lead Time Calculator.

User evaluates supplier performance metrics post lead time calculations.

Given the user has inputted their order specifications and received lead time data, when they request to view supplier performance metrics related to that lead time, then the system displays metrics such as past adherence to lead times and quality ratings for the selected supplier.

Supplier Communication Channels

User Story: As a procurement agent, I want to have direct communication channels with my suppliers within the portal so that I can resolve any issues quickly and maintain clear communication about orders.
Description: The Supplier Communication Channels requirement is focused on establishing direct messaging and alert systems within the Supplier Management Portal, enabling breweries and suppliers to communicate instantly regarding order inquiries, changes, or concerns. This feature will support file exchanges, such as invoices and contracts, and track communication history to maintain a clear dialogue. Improving communication pathways enhances collaboration and helps address issues promptly, leading to stronger partnerships and smoother operations.
Acceptance Criteria: Direct Messaging Functionality for Order Inquiries

Given a supplier and a brewery are logged into the Supplier Management Portal, when the brewery sends a direct message regarding an order inquiry, then the supplier should receive a notification of the new message and be able to respond within 10 minutes.

Communication History Access

Given a user is on the Supplier Communication Channels page, when they access the communication history for a specific supplier, then they should be able to view all past messages, including timestamps and attachments, without errors.

File Exchange Capability

Given a brewing user is in an active communication with a supplier, when they upload a file (e.g., an invoice or contract) in the messaging interface, then the supplier should receive the file immediately and be able to download it without issues.

Alert System for Order Changes

Given an order has been modified by the supplier, when the change is saved in the Supplier Management Portal, then all relevant brewery users should receive a notification alerting them of the change within 5 minutes.

User Role Management in Communication

Given a brewery has multiple users with different roles, when a brewery user initiates a conversation with a supplier, then the communication options should reflect the permissions set for that user role, ensuring that sensitive information is protected.

Customizable Supplier Scoring System

User Story: As a purchasing analyst, I want to customize how I score suppliers based on my specific needs so that I can evaluate my options more effectively and choose the best partners for my brewery.
Description: The Customizable Supplier Scoring System requirement is designed to allow users to define and implement their scoring criteria for evaluating supplier performance based on factors that are important to their brewing operations. This flexible scoring system enables breweries to prioritize suppliers based on quality, delivery, pricing, and service levels tailored to their needs. It empowers users to make comparative evaluations and adapt criteria as required, significantly improving decision-making related to supplier management and procurement strategies.
Acceptance Criteria: User wants to define a scoring system based on quality, delivery time, pricing, and service levels to evaluate their suppliers.

Given a supplier management dashboard, when the user navigates to the scoring system settings section, then the user should be able to set criteria weights for quality, delivery, pricing, and service levels.

A user needs to input supplier performance data to calculate scores based on their custom scoring criteria.

Given the defined scoring criteria, when the user enters performance data for a supplier and saves it, then the system should accurately compute and display the supplier's score based on the defined criteria.

The user wants to compare multiple suppliers based on the scores generated from the customizable scoring system.

Given multiple suppliers with existing scores, when the user opens the comparison tool, then the system should present a side-by-side comparison of the suppliers highlighting their scores and criteria performance.

A user plans to adjust the scoring criteria to modify how suppliers are evaluated based on changing business priorities.

Given the dashboard where scoring criteria are configured, when the user selects an existing criterion and edits its weight or status, then the system should allow the user to save the changes without errors and update all related supplier scores accordingly.

The user wants to generate a report that includes supplier performance based on the scoring system.

Given the reporting feature in the supplier management portal, when the user requests a supplier performance report, then the system should produce a report that includes the scores and detailed breakdowns of each supplier's performance against customized criteria.

Customer Engagement Dashboard

The Customer Engagement Dashboard offers breweries insights into customer behavior and engagement through direct connections to CRM systems. By analyzing sales patterns and customer interactions, brewers can tailor marketing strategies, develop targeted promotions, and foster stronger customer loyalty. This feature ensures that breweries are informed of customer preferences, enhancing their overall marketing effectiveness.

Requirements

Real-time Customer Analytics

User Story: As a brewery manager, I want to view real-time analytics of customer engagement so that I can quickly adapt my marketing strategies to better meet customer needs and increase sales.
Description: The Real-time Customer Analytics requirement involves integrating advanced analytical tools that provide breweries with immediate insights into customer behavior and sales trends. This feature will allow breweries to monitor customer engagement metrics in real-time, helping them to dynamically adjust marketing strategies and inventory management. The expected outcome is a more agile business model that enhances customer satisfaction by responding directly to consumer preferences and behaviors as they change, thus promoting higher retention rates and increased sales.
Acceptance Criteria: Real-time Tracking of Customer Engagement on the Dashboard

Given that the dashboard is displayed, when a customer makes a purchase, then the customer engagement metrics should update in real-time to reflect the new sales data within a 5-second timeframe.

Integration of CRM Data for Customer Insights

Given that the brewery's CRM system is connected, when the analytics tool pulls data, then the dashboard should display customer behavior analytics based on the last 30 days of sales data with no discrepancies.

Dynamic Adjustment of Marketing Strategies

Given real-time customer analytics are displayed, when an increase in a specific product's sales is observed, then the system should generate a marketing suggestion for that specific product within 2 minutes.

Historical Analysis of Customer Preferences

Given that the analytics tool has been operating for at least one month, when reviewing customer data, then the brewery should be able to access and view historical trends in customer purchasing behavior over that period.

User-Friendly Interface for Dashboard Interactions

Given that a user accesses the Customer Engagement Dashboard, when they interact with the dashboard features, then the interface should provide intuitive navigation with clear labels and tools for at least 90% of its functions tested by user feedback.

User Notification system for engagement changes

Given that a significant change in customer engagement metrics occurs, when this change is detected, then the system should automatically trigger a notification to designated users within 3 minutes.

Automated Campaign Tracking

User Story: As a marketing director, I want automated tracking of my marketing campaigns so that I can evaluate their performance without manual data entry and improve future campaigns based on real insights.
Description: The Automated Campaign Tracking requirement is essential for systematically monitoring the effectiveness of marketing campaigns. This feature will automatically collect data from various promotional efforts, providing breweries with insights into which campaigns performed best, customer response rates, and sales conversions. By consolidating this data, breweries can make informed decisions about future marketing efforts. This will lead to more efficient use of marketing budgets and improved customer engagement through tailored approaches based on past campaign performance.
Acceptance Criteria: The brewery team has recently launched a new marketing campaign for their latest beer and wants to assess its effectiveness through the Customer Engagement Dashboard in Foamly. They expect to receive real-time analytics on customer responses and campaign performance within a week after the campaign's commencement.

Given that the marketing campaign has been launched, when the brewery accesses the Customer Engagement Dashboard, then they should see a summary of key performance metrics including campaign reach, customer engagement rate, and sales conversions within 7 days of the campaign start date.

After running multiple marketing campaigns over the past month, the brewery wants to analyze which campaign yielded the highest sales conversions. They will utilize the Automated Campaign Tracking feature to view comparative data for each campaign.

Given that multiple campaigns have been tracked, when the brewery selects the campaign analysis feature, then they should be able to view a detailed comparison report showing sales conversions for each campaign, along with customer feedback metrics within 48 hours of selecting the analysis.

The brewery plans to implement targeted promotions based on the data collected from their last three marketing campaigns. They seek to use insights generated from the Automated Campaign Tracking to refine their future strategies based on customer preferences and engagement.

Given that the Automated Campaign Tracking has collected the data from the last three campaigns, when the brewery reviews the campaign performance report, then they should be able to identify the top three-performing campaigns and extract actionable insights for developing future promotional strategies.

The marketing team wants to ensure that the campaign tracking feature collects data accurately in real-time as campaigns are executed across various channels.

Given that a new marketing campaign is initiated, when the campaign is active, then the Automated Campaign Tracking feature should record and update data every 15 minutes during the campaign duration, reflecting real-time engagement and sales data.

Following a series of automated tracking reports, the brewery seeks to verify the accuracy of the data collected over a specified timeframe for compliance and decision-making purposes.

Given that the Automated Campaign Tracking has completed its data collection, when the brewery requests a comprehensive data summary for the last month, then they should receive a detailed report with a breakdown of engagement metrics and conversion rates, with at least 95% accuracy compared to actual sales data.

After analyzing previous marketing campaigns, the brewery wants to set up automated alerts to notify them of significant customer engagement changes during future campaigns.

Given that no alerts have been set up yet, when the brewery configures alerts for customer engagement changes, then they should receive notifications for any significant increase or decrease in engagement metrics within 1 hour of such changes occurring.

Customer Segmentation Tool

User Story: As a marketing analyst, I want to segment our customers based on their behaviors and preferences so that I can create personalized marketing strategies that align with different customer needs.
Description: The Customer Segmentation Tool requirement focuses on enabling breweries to categorize their customer base into distinct segments based on purchasing behavior, demographics, and engagement patterns. This feature will empower breweries to craft targeted promotions that resonate with specific customer groups. By understanding the nuances of different customer segments, breweries can enhance customer loyalty and increase conversion rates through personalized marketing strategies, ultimately driving sales growth.
Acceptance Criteria: Customer segments are created based on purchasing behavior during a promotional campaign analysis.

Given that a brewery has a list of customer purchases from the last six months, when the brewery uses the Customer Segmentation Tool, then it should generate at least three distinct customer segments based on purchasing frequency, average spend, and product preferences.

Breweries want to analyze segmentation effectiveness post-campaign.

Given that a brewery has executed a targeted promotional campaign, when the brewery reviews the performance metrics in the Customer Engagement Dashboard, then it should show an increase in sales conversion rates from the segmented groups by at least 15% compared to previous campaigns.

Breweries need to update their customer segments quarterly to reflect changing behaviors.

Given that a brewery has customer data from an ongoing CRM integration, when the brewery updates the customer segmentation data, then it should reflect changes in customer behavior and re-categorize at least 20% of the existing segments automatically without manual input.

A marketing manager requires insights on previous segmentation performance.

Given a marketing manager requests a report on past customer segments, when the Customer Segmentation Tool analyzes historical data, then it should generate a report detailing segment performance, including engagement rates and retention statistics for the past three promotions.

A brewery wants to develop targeted promotions for newly identified customer segments.

Given that new customer segments have been created, when the brewery uses the Customer Segmentation Tool to create a promotional campaign, then it should allow for the design of at least five tailored messages or offerings specific to each segment.

Brewery staff need training on using the Customer Segmentation Tool.

Given that a training session is scheduled, when staff attend the training, then they should demonstrate the ability to segment customers and create a new targeted campaign within two weeks of the session.

Customer feedback is essential to refining segmentation strategies.

Given customer feedback is collected through surveys, when the brewery analyzes this feedback, then it should show at least three actionable insights that inform adjustments to the current customer segments within the next quarter.

Integration with Existing CRM Systems

User Story: As a sales representative, I want Foamly to integrate with our existing CRM system so that I can have a unified view of customer interactions and improve my follow-up strategies.
Description: The Integration with Existing CRM Systems requirement allows Foamly to seamlessly connect with popular Customer Relationship Management (CRM) platforms used by breweries. This integration will ensure that customer interactions and history are maintained in one cohesive system, providing a comprehensive view of customer relationships. The result is improved collaboration between sales and marketing teams, enabling them to work together more effectively to nurture leads and retain customers, ultimately enhancing the overall customer experience.
Acceptance Criteria: Integration of Foamly with Salesforce CRM to automatically sync customer data recorded during sales to provide a complete view of customer interactions.

Given the user is connected to Salesforce, when a sale is recorded in Foamly, then the associated customer data must automatically sync to the Salesforce account within 5 minutes.

Using the Customer Engagement Dashboard to analyze customer purchase behavior for targeted promotions based on the data imported from various CRM systems.

Given that customer data is imported from the CRM, when the brewer accesses the Customer Engagement Dashboard, then it must display customer purchase patterns categorized by demographics and purchase history.

Maintaining a complete history of customer interactions logged from multiple CRM systems in Foamly for improved collaboration between sales and marketing teams.

Given that the integration is established, when a user accesses the customer interaction history within Foamly, then it must show a complete timeline of all recorded interactions from the connected CRM systems.

Identifying customer trends and generating reports through the Customer Engagement Dashboard after syncing data from CRM systems.

Given that customer data is synced from the CRM, when the user selects a date range for reports, then the dashboard must generate analytics reports showing trends in customer engagement and sales.

Facilitating real-time updates of customer data across Foamly and the integrated CRM systems to ensure consistency.

Given there is an existing customer profile, when changes are made to customer details in Foamly, then the same updates should reflect in the integrated CRM system within 2 minutes.

Providing user authentication and permissions for accessing the CRM data imported into Foamly based on user roles.

Given a user is logged into Foamly, when they attempt to access CRM data, then they must be allowed or restricted based on the defined user role and permissions.

Testing the integration performance under load to ensure customer data sync does not degrade system performance in either Foamly or the CRM.

Given a simulated environment with 1000 concurrent users syncing data, when the integration is tested, then the system must not experience more than 2% latency in data syncing.

Custom Reporting Features

User Story: As a brewery owner, I want to create custom reports that focus on specific customer metrics so that I can gain insights that are most relevant to my business and drive growth.
Description: The Custom Reporting Features requirement enables breweries to create tailored reports based on their unique metrics and KPIs relevant to customer engagement and sales performance. This functionality will allow users to select variables, set parameters, and generate reports that inform decision-making processes. By having access to customized data displays, breweries can focus on the insights that matter most to their business objectives, fostering data-driven strategies and operational improvements.
Acceptance Criteria: Custom Report Creation for Specific Sales Metrics

Given that a user has access to the Custom Reporting Features, when they select specific sales metrics and set the desired parameters, then the system generates a report that accurately reflects the selected metrics and parameters within 30 seconds.

User Interface for Custom Reporting

Given that a user is on the Custom Reporting Features page, when they attempt to create a report, then the interface must allow users to select at least five different metrics, set parameters like date range, and export the report in multiple formats (CSV, PDF) without any errors.

Performance of Generated Reports

Given that a user has generated a custom report based on selected metrics and parameters, when they view the report, then it should load within 10 seconds and display all chosen metrics accurately without missing data.

Validation of Report Accuracy

Given that a custom report has been generated, when the user compares the report output with the original data from the CRM, then 100% of the reported metrics should match the source data.

User Customization Options

Given that a user is creating a custom report, when they select metrics, they should have the option to customize the report layout and design, allowing for changes such as color selection and font adjustments, which should save successfully for future use.

Security and Access Control for Reports

Given that the Custom Reporting Features are operational, when a user attempts to access the reports, then the system must validate that the user has the appropriate roles and permissions to view or edit the report; unauthorized users should receive an access denied message.

Help and Documentation Availability

Given that a user is using the Custom Reporting Features, when they search for help within the interface, then they should be directed to comprehensive documentation that covers every aspect of creating and customizing reports.

Real-time Feedback Collection

User Story: As a customer service manager, I want to gather real-time feedback from our customers after they make a purchase so that I can quickly address concerns and improve customer satisfaction.
Description: The Real-time Feedback Collection requirement involves implementing tools that allow breweries to gather customer feedback immediately after purchase or interaction. This feature will facilitate the collection of insights regarding customer satisfaction and product preferences, enabling breweries to respond swiftly to emerging issues or trends. The expected outcome is a continuous improvement loop that enhances product offerings and customer relationships because it allows breweries to act on feedback quickly and effectively.
Acceptance Criteria: Customer completes a purchase and receives a prompt for feedback via the Customer Engagement Dashboard on their mobile device.

Given the customer has completed a purchase, when they receive the feedback prompt, then the prompt should load within 5 seconds and display at least 3 feedback questions.

Customer feedback is submitted through the dashboard immediately after receiving the prompt.

Given the customer has selected responses for feedback, when they click submit, then their feedback should be recorded in the system within 10 seconds and acknowledged with a confirmation message.

Brewer accesses real-time feedback analytics on the Customer Engagement Dashboard to assess customer satisfaction trends.

Given the brewer has logged into the dashboard, when they navigate to the feedback section, then they should be able to view feedback analytics updated in real-time, including at least 5 key performance indicators.

Customer responses indicate a shift in preference for a particular product after a promotional campaign.

Given feedback has been collected for a specific product post-campaign, when the results are analyzed, then the change in customer preference should be statistically significant at a 95% confidence level and presented in the dashboard.

Brewer sets up automated alerts for negative feedback submissions to facilitate timely response.

Given the brewer is in the settings menu of the dashboard, when they enable alerts, then the system should successfully schedule notifications for any feedback categorized as 'negative' to be sent to the brewers’ email within 1 minute of submission.

The system shows the historical feedback trends to help brewers make informed decisions about product offerings.

Given the brewer selects the historical feedback section, when they choose a date range, then the system should display feedback trends graphically for that period showing at least 3 actionable insights.

Customer satisfaction scores are analyzed to influence future marketing strategies.

Given customer satisfaction scores have been collected over a campaign period, when the brewer reviews the scoring, then they must see actionable recommendations on how to improve future campaigns based on the scores provided.

Unified Reporting Suite

The Unified Reporting Suite compiles data from all integrated systems into comprehensive, user-friendly reports. This feature allows breweries to generate insights regarding sales performance, inventory turnover, and marketing impact all from one place. By simplifying data analysis, breweries can make informed decisions that drive growth and operational success, saving time and improving strategic planning.

Requirements

Comprehensive Sales Report

User Story: As a brewery manager, I want to generate comprehensive sales reports so that I can analyze my revenue trends and make data-driven decisions that enhance our growth.
Description: The Comprehensive Sales Report requirement allows breweries to automatically generate detailed reports on sales performance across various channels. This feature integrates with existing sales data to deliver insights such as revenue trends, best-selling products, and seasonal variations. By enabling breweries to analyze their sales performance in real time, this requirement helps identify growth opportunities and areas for improvement, ultimately leading to more informed decision-making and strategic planning. The Comprehensive Sales Report also supports exporting data to various formats for further analysis and sharing with stakeholders, enhancing collaboration and transparency across teams.
Acceptance Criteria: Sales Performance Report Generation

Given the user is logged into Foamly, when they select the 'Generate Comprehensive Sales Report' option, then a detailed report of sales performance should be generated that includes revenue trends, best-selling products, and seasonal variations.

Data Export Functionality

Given the user has generated a Comprehensive Sales Report, when they select the 'Export' option, then the report should be exportable into multiple formats (e.g., PDF, Excel, CSV).

Real-Time Sales Insights

Given the data is integrated with existing sales systems, when a user views the Comprehensive Sales Report, then it should display real-time sales performance metrics with no delays.

Accuracy of Sales Data

Given the user requests a Comprehensive Sales Report, then the report should contain accurate sales data that matches the most recent sales records stored in the system.

User Accessibility and Permissions

Given a user with standard access rights, when they attempt to generate the Comprehensive Sales Report, then they should be granted access only if they have the appropriate permissions.

Report Customization Options

Given the user is on the report generation page, when they choose to customize the Comprehensive Sales Report, then they should have options to select date ranges, sales channels, and product categories.

User-Friendly Interface for Report Viewing

Given the user has generated a Comprehensive Sales Report, when they view the report, then the interface should display the report in an easily readable layout, with graphs and tables clearly labeled for quick comprehension.

Inventory Turnover Dashboard

User Story: As a brewery staff member, I want to access an inventory turnover dashboard so that I can track inventory levels and make timely purchasing decisions to optimize stock management.
Description: The Inventory Turnover Dashboard requirement consolidates inventory data from multiple sources into a single, interactive dashboard. This feature provides live updates on inventory levels, turnover rates, and stock alerts, enabling brewers to monitor their inventory health in real time. The dashboard's visualization tools help identify slow-moving items and forecast future inventory needs, thereby reducing waste and optimizing stock management. This integration with existing inventory systems simplifies tracking and supports proactive decision-making regarding purchasing and production schedules, enhancing operational efficiency.
Acceptance Criteria: Inventory Turnover Metrics Display

Given the brewery manager is logged into the Foamly platform, When they navigate to the Inventory Turnover Dashboard, Then the dashboard should display real-time inventory levels, turnover rates, and stock alerts based on the latest data from integrated systems.

Slow-Moving Inventory Identification

Given that the dashboard is displaying current inventory data, When the manager reviews the inventory turnover metrics, Then the dashboard should highlight slow-moving items in a distinct color, allowing for quick identification and action.

Forecasting Future Inventory Needs

Given that the inventory turnover data has been loaded, When the manager selects the 'Forecast' option on the dashboard, Then the dashboard should generate a forecast report for inventory needs for the next month based on historical turnover rates.

Integration with Existing Systems

Given that the inventory management system has been set up, When the manager updates inventory levels in the existing system, Then the changes should automatically reflect in the Inventory Turnover Dashboard without manual intervention.

User-Friendly Dashboard Navigation

Given that a user is accessing the Inventory Turnover Dashboard, When they interact with the dashboard controls, Then the user should be able to easily filter, sort, and access various inventory reports within three clicks.

Stock Alert Notifications

Given that inventory levels are monitored, When stock levels for any item fall below the predefined threshold, Then the system should automatically send an alert notification to the manager via email and in-app notification.

Marketing Impact Analysis

User Story: As a marketing director for the brewery, I want to analyze the impact of our marketing campaigns so that I can adjust our strategies based on data-driven insights to maximize our marketing ROI.
Description: The Marketing Impact Analysis requirement focuses on providing breweries with insights into the effectiveness of their marketing campaigns. By aggregating data from various marketing channels, this feature allows users to track key performance indicators such as customer acquisition costs, return on investment (ROI), and social media engagement. The Marketing Impact Analysis not only facilitates understanding of what marketing strategies are working but also helps in adjusting future campaigns based on analytical insights. This requirement's integration with existing marketing tools ensures that breweries can efficiently measure their marketing impact and make informed investments in promotion.
Acceptance Criteria: Marketing Campaign Performance Overview

Given the user has access to the Unified Reporting Suite, when they navigate to the Marketing Impact Analysis report, then they should be able to view a dashboard summarizing key performance indicators such as customer acquisition costs, ROI, and social media engagement over a specified time period.

Integration with Marketing Tools

Given the user's marketing tools are integrated with Foamly, when they choose a specific marketing campaign to analyze, then the system should automatically pull in relevant data from all connected channels without manual input.

Comparison of Campaigns

Given the user is in the Marketing Impact Analysis section, when they select two or more marketing campaigns, then they should be able to generate a comparative report highlighting differences in key performance indicators such as cost-per-acquisition and engagement rates.

Custom Date Range Filtering

Given the user is viewing the Marketing Impact Analysis report, when they select a custom date range for their analysis, then the report should refresh to show relevant data only for that selected timeframe.

Data Accuracy Verification

Given the report is generated for the Marketing Impact Analysis, when the user compares the displayed metrics with the source data from marketing channels, then the metrics should match across all channels, ensuring data accuracy and reliability.

User Alerts for ROI Changes

Given the marketing campaigns are running, when there is a significant change in ROI metrics, then the user should receive an alert notification within the platform highlighting the change and urging them to review the campaign effectiveness.

Export Functionality

Given that the user has completed their analysis in the Marketing Impact Analysis report, when they choose to export the report, then they should be able to download it in multiple formats such as PDF and Excel.

Custom Reporting Templates

User Story: As a data analyst, I want to create custom reporting templates so that I can focus on the specific metrics relevant to my analysis and share these insights with my colleagues.
Description: The Custom Reporting Templates requirement enables breweries to create tailored reports that meet their specific reporting needs. By providing an intuitive interface for report customization, users can select data fields, set filters, and determine report layouts to focus on the metrics that matter most to their operations. This flexibility ensures that different stakeholders can generate specific insights that drive decision-making. The Custom Reporting Templates feature supports saving and sharing templates, promoting consistency in reporting and streamlining data analysis across teams within the brewery.
Acceptance Criteria: User creates a custom report for inventory turnover to analyze stock levels across different brewing processes.

Given a user is logged into Foamly, when they navigate to the Custom Reporting Templates section and select 'Inventory Turnover', then they should be able to choose fields for brewing batches, set filters for specific timeframes, and save the template for future use.

A brewery manager wants to generate a summary report of sales performance for the last quarter to assess growth trends.

Given a user with manager privileges accesses the Custom Reporting Templates, when they select 'Sales Performance Summary' and input the last quarter's dates, then they should receive a report showing sales figures, comparisons to previous quarters, and the ability to export the report in PDF format.

A marketing team member needs to evaluate the impact of a recent promotional campaign through a tailored report.

Given the user is in the Custom Reporting Templates, when they create a report based on campaign performance metrics and apply filters for selected campaigns and timeframes, then they should be able to view the report accurately reflecting campaign results and have the option to share it with team members via email.

An employee seeks consistency in reporting formats across departments by utilizing a saved template.

Given the user is on the Custom Reporting Templates page, when they click on 'Saved Templates', then they should see a list of previously created templates, be able to select one, and generate a report that reflects the predefined format and data selections.

A regulatory compliance officer requires a custom report showing compliance metrics over the year for audit purposes.

Given the compliance officer is in the Custom Reporting Templates section, when they create a report specifying compliance metrics with available filters for date ranges and specific areas of compliance, then the generated report must include all required metrics and comply with the formatting standards set by the brewery’s regulations.

Automated Reporting Scheduling

User Story: As a brewery operations manager, I want to set up automated reporting so that our team receives consistent updates on key metrics without manual effort, ensuring we are always informed and able to act swiftly.
Description: The Automated Reporting Scheduling requirement empowers breweries to set up a schedule for automated report generation and distribution. By allowing users to define reporting frequencies (daily, weekly, monthly) and recipient lists, this feature reduces the manual effort and time spent on report generation. The automated reports will be sent directly to stakeholders' inboxes, ensuring timely access to crucial data. This capability not only enhances productivity but also fosters a culture of data-driven decision-making within the organization by keeping relevant teams informed about key operational insights regularly.
Acceptance Criteria: Automated Report Generation for Sales Performance

Given a user selects 'Weekly' as the reporting frequency, When they save the schedule, Then an automated report should be generated and emailed to specified recipients every week without manual intervention.

Report Customization and Recipient Selection

Given a user has access to the reporting feature, When they create a report and specify recipients, Then the report should include only the selected recipients on the distribution list as per their configuration.

Integration with Existing Systems

Given that the reporting feature is requested to pull data, When a report is generated, Then the report must accurately reflect the most current data from all integrated systems used by the brewery.

Error Handling in Automated Reporting

Given a scheduled report generation, When there is an error in data retrieval, Then the system should log the error and notify the user via email about the failed report generation.

User Notification of Report Generation

Given a report has been generated according to the scheduled frequency, When the report is sent, Then the user should receive a notification confirming successful report delivery.

Testing Report Delivery Times

Given a user requests daily reports, When the reports are generated at scheduled times, Then they should be delivered to the recipients' inboxes within 5 minutes of generation.

Monthly Digest Reports

Given a user selects 'Monthly' as the reporting frequency, When the month ends, Then an automated summary report should be compiled and sent to the designated stakeholders encompassing key metrics and insights from that month.

Real-Time Inventory Sync

The Real-Time Inventory Sync feature automatically updates inventory levels across all integrated platforms in real time. This ensures that every sale, whether in-store or online, accurately reflects stock availability, reducing the chances of overselling or stockouts. By maintaining accurate inventory records, breweries can improve customer satisfaction and streamline replenishment processes.

Requirements

Automated Low Stock Alerts

User Story: As a store manager, I want to receive alerts when stock levels are low so that I can reorder products in time to meet customer demand.
Description: The Automated Low Stock Alerts requirement ensures that breweries receive notifications when inventory levels fall below a predefined threshold. This feature helps breweries proactively manage restocking, reducing the risk of stockouts and enabling them to maintain optimal inventory levels. By integrating with the Real-Time Inventory Sync feature, alerts will trigger automatically and be sent via email or in-app notifications to the appropriate personnel, allowing for timely action. This functionality is critical for maintaining customer satisfaction and ensuring continuous product availability.
Acceptance Criteria: Automated Low Stock Alerts for Ingredients in a Brewery.

Given the inventory level of an ingredient is set below the threshold, when the stock level falls below that threshold, then an automatic notification should be sent via email and in-app notification to the assigned personnel.

User Setup for Low Stock Alerts Notifications.

Given a user is assigned to receive low stock alerts, when the user fills in their notification preferences, then the system should save these preferences and activate notifications accordingly.

Real-Time Sync Confirmation of Low Stock Changes.

Given that inventory is synced in real-time, when a product’s inventory level drops below the threshold, then the updated status should reflect immediately across all connected platforms without manual refresh.

Testing the Notification Delivery Method.

Given the low stock alert is triggered, when the notification is sent, then the notification must be received by the designated user on both email and in-app without delays exceeding 5 minutes.

User Notification Acknowledgment for Low Stock Alert.

Given a low stock alert is received, when the user acknowledges the alert, then the system must log this acknowledgment for record-keeping and alert status updates.

Threshold Adjustment for Low Stock Alerts by Admins.

Given an admin user has access to inventory settings, when they change the low stock threshold for a product, then the system must update the threshold immediately and alert all relevant users about the change.

Multi-Location Inventory Management

User Story: As a brewery owner, I want to manage inventory across all my locations from a single platform so that I can operate more efficiently and reduce logistical costs.
Description: The Multi-Location Inventory Management requirement enables breweries with multiple locations to manage their inventory from a centralized dashboard within Foamly. This feature allows users to track stock levels, sales data, and replenishment needs across all locations in real-time. By facilitating easy transfers between locations and providing visibility into inventory distribution, this requirement enhances operational efficiency and helps breweries optimize their supply chain processes. This centralized approach reduces the chances of overstocking or understocking in any single location.
Acceptance Criteria: Identifying Inventory Levels Across Multiple Locations

Given a user logs into Foamly's centralized dashboard for multi-location inventory management, when they view the inventory levels for each location, then they should see accurate stock levels that reflect real-time updates from all integrated platforms, including sales data.

Real-Time Updates on Product Transfers Between Locations

Given there is a request to transfer inventory from one location to another, when the user initiates a transfer in the Foamly dashboard, then the inventory levels for both the source and destination locations should update in real-time to reflect the transfer immediately.

Detecting Overstock and Understock Situations

Given the user has set predefined thresholds for minimum and maximum stock levels, when the inventory levels at any location fall below or exceed these thresholds, then the system should trigger alerts to the user for necessary action.

Analyzing Sales Trends per Location

Given the user accesses the reports feature on the Foamly dashboard, when they select the sales trend analysis for a specific location, then they should receive a graphical representation of sales over time, highlighting peak sales periods and slow-moving products.

User Access and Permissions for Inventory Management

Given that different users are assigned to manage inventory at different locations, when a user attempts to access inventory records outside their assigned location, then they should receive a permissions error indicating restricted access.

Efficient Replenishment Process

Given that the inventory levels at any location have fallen below the predefined threshold, when the system identifies the need for replenishment, then it should automatically generate a purchase order suggestion for the required stock from suppliers.

Inventory Forecasting Tools

User Story: As a production planner, I want to forecast inventory needs based on sales trends so that I can plan my brewing schedule more effectively and minimize waste.
Description: The Inventory Forecasting Tools requirement equips users with advanced analytics to predict future inventory needs based on historical sales data and market trends. This feature employs machine learning algorithms to analyze patterns and generate accurate forecasts, enabling breweries to make informed purchasing decisions. By anticipating demand spikes or drops, this capability allows for better cash flow management and helps to minimize waste and overproduction. Additionally, these forecasts can be integrated with production scheduling to ensure alignment with brewing capacity.
Acceptance Criteria: User logs in to Foamly, accesses the Inventory Forecasting Tools, and views a forecast report based on last year’s sales data combined with current market trends.

Given the user has access to the Inventory Forecasting Tools, when they input their historical sales data and current market trends, then the system should generate an accurate inventory forecast report for the next quarter within 10 seconds.

A brewery owner reviews the inventory forecast report and adjusts their purchasing schedule based on the forecasted demand and brewing capacity.

Given the user reviews the inventory forecast report, when they adjust their purchasing schedule based on forecasted spikes or drops, then the system should automatically update the purchasing plan while ensuring it aligns with brewing capacity without producing excess inventory.

A user examines the accuracy of previous inventory forecasts by comparing them with actual sales data over the past six months.

Given the user accesses the historical forecast data, when they compare it with the actual sales data for the past six months, then the system should display a success rate of at least 90% in forecasting accuracy.

A sales representative uses the Mobile app of Foamly to check real-time inventory levels before making sales to avoid overselling products.

Given the sales representative checks inventory levels through the Mobile app, when they attempt to sell a product, then the system should block the transaction if the inventory level falls below the safety stock threshold, ensuring the availability reflects accurately.

The brewery's manager evaluates the impact of improved inventory forecasting on reducing waste through a quarterly review.

Given the manager evaluates quarterly trends, when they review waste metrics, then the system should show a reduction in waste by at least 25% compared to the previous year, correlating this with the accuracy of the forecasting tools used.

A user sets alerts for low inventory levels based on the forecasting tools to prevent stockouts during peak demand periods.

Given the user configures low inventory alerts based on the forecasting tools, when the inventory level reaches the alert threshold, then the system should dynamically notify the user through email and app notifications.

Supplier Integration

User Story: As a procurement manager, I want to automate my ordering process with suppliers so that I can ensure consistent production without manual follow-ups.
Description: The Supplier Integration requirement allows breweries to connect with their suppliers directly through Foamly, streamlining the ordering process for raw materials. This feature will provide users with up-to-date information on supplier inventory levels, pricing, and lead times, enabling breweries to make informed purchasing decisions. By automating the reordering of ingredients when stock hits a certain threshold, this integration enhances operational efficiency, reduces delays in production, and supports better relationship management with suppliers.
Acceptance Criteria: Supplier Inventory Visibility for Order Placement

Given that I am a brewery user logged into Foamly, when I navigate to the supplier integration page, then I should see real-time inventory levels, pricing, and lead times for all available suppliers, allowing me to select the appropriate supplier for my orders.

Automated Inventory Reordering

Given that my inventory level for a specific raw material drops below the predefined threshold, when this occurs, then Foamly should automatically generate a reorder request to the supplier and send a confirmation notification to me.

Supplier Price Comparison

Given that I have access to multiple suppliers within Foamly, when I initiate a new order, then I should be presented with a comparison of prices and lead times from all suppliers so that I can make an informed purchasing decision.

Integration Testing with Supplier Systems

Given that the supplier integration feature has been developed, when I run integration tests with at least three suppliers, then all supplier data should be accurately retrieved and displayed without errors in Foamly.

Supplier Communication History

Given that I have ordered raw materials through Foamly, when I view the supplier engagement history, then I should be able to see all communications, order details, and status updates in a centralized location within the application.

Error Handling for Failed Supplier Integration

Given that there is an issue with the supplier's system during integration, when the integration fails, then Foamly should display an error message and provide suggestions for troubleshooting and re-establishing the connection.

User Feedback for Supplier Performance

Given that I have received deliveries from a supplier, when I access the supplier review feature in Foamly, then I should be able to provide feedback and rate the supplier based on delivery times, product quality, and communication effectiveness.

Barcode Scanning for Inventory Count

User Story: As a warehouse staff member, I want to scan items quickly during stock counts so that I can update inventory levels accurately and save time in the process.
Description: The Barcode Scanning for Inventory Count requirement introduces a mobile scanning feature that allows brewery staff to conduct inventory counts quickly and accurately using a mobile device’s camera or a barcode scanner. This functionality facilitates faster stock audits, enhances inventory accuracy, and reduces human error during the counting process. By integrating directly with the Real-Time Inventory Sync feature, updates are made in real-time, ensuring that inventory counts are always current. This feature is crucial for maintaining accurate records and improving operational efficiency.
Acceptance Criteria: As a brewery staff member conducting an inventory count during a routine audit, I use the mobile barcode scanning feature to scan each product's barcode to capture the current stock levels accurately and efficiently.

Given that I have access to the mobile scanning feature, when I scan a product barcode, then the inventory count should update in real-time within the Foamly system without delay or error.

During a busy sales period, I perform a stock audit using the barcode scanning functionality to ensure that online inventory reflects accurate counts for products available in-store.

Given that I am using the mobile device for scanning, when I scan the barcodes of five different products, then the system should display real-time updates of the inventory levels for those products across all integrated platforms.

At the end of each day, as the inventory manager, I review the scanned counts logged by staff to verify the accuracy against the calculated inventory levels from sales, ensuring no discrepancies exist.

Given that the scanned counts have been uploaded, when I compare the updated inventory records against sales data, then the total counts should match the sales deductions accurately within a 5% margin of error.

When a staff member encounters a barcode that is unrecognized during scanning, they need a clear and effective way to resolve this issue without impacting the inventory count process.

Given that I scan a product with an unrecognized barcode, when this occurs, then I should receive an alert message prompting me to either enter the product manually or notify a manager, while allowing the scan process to continue with recognized items.

As a staff member using the barcode scanning feature, I want to confirm that my scanning activity is successfully logged in the system after completing the inventory count.

Given that I have completed scanning all items, when I submit the final count, then I should receive a confirmation message indicating that the inventory has been successfully updated and logged with a timestamp.

During a periodic stock audit, I want to ensure that the mobile scanning feature integrates seamlessly with the Real-Time Inventory Sync to reflect changes instantly in the system.

Given that I have completed the inventory count using the mobile scanner, when I check the inventory levels in Foamly, then all scanned products should reflect the updated counts immediately without needing a manual refresh.

As a brewery staff member using the scanner, I need to ensure that the scanning process facilitates efficient navigation through multiple product types during an inventory count.

Given that I am performing an inventory count with various product types, when I scan each product's barcode, then the scanning process should allow me to easily move between different categories without interruption or lag time in updating inventory levels.

Integrated Marketing Tools

Integrated Marketing Tools within BrewerySync provide breweries with essential resources to manage promotional campaigns directly from Foamly. This feature connects to email marketing platforms and social media channels, enabling users to launch targeted campaigns based on customer data and sales insights. By simplifying marketing management, it enhances outreach efforts and maximizes return on marketing investments.

Requirements

Campaign Management Interface

User Story: As a marketing manager at a brewery, I want to create and manage promotional campaigns directly from Foamly so that I can streamline my marketing efforts and reach my target audience effectively.
Description: The Campaign Management Interface enables users to create, edit, and manage marketing campaigns within Foamly. This requirement includes features such as a user-friendly dashboard for tracking campaign performance, integration with email marketing and social media platforms, and tools for segmenting customers based on sales data and preferences. By centralizing marketing efforts, this interface enhances operational efficiency, facilitates timely and targeted campaigns, and provides insights to optimize marketing strategies. This requirement is critical for breweries looking to leverage marketing to boost customer engagement and drive sales.
Acceptance Criteria: Campaign Creation for a New Product Launch

Given a user is logged into the Foamly application, when they navigate to the Campaign Management Interface and select 'Create New Campaign', then they should be able to define the campaign parameters including name, start date, end date, and target audience segmentation options.

Editing an Existing Campaign

Given a user has an existing campaign listed in their dashboard, when they select the campaign and click 'Edit', then they should be able to modify campaign details such as campaign name, target demographics, and scheduled dates without losing any previously saved data.

Integration with Email Marketing Platform

Given a user wishes to connect their email marketing platform via the Campaign Management Interface, when they follow the integration prompts and successfully authenticate the connection, then they should see relevant options to manage email campaigns linked to their marketing campaigns in Foamly.

Tracking Campaign Performance Metrics

Given a marketing campaign has been launched, when a user accesses the campaign performance dashboard, then they should see real-time analytics including open rates, click-through rates, and customer engagement metrics displayed clearly and accurately.

Segmenting Customers Based on Preferences

Given a user is setting up a new campaign, when they choose the customer segmentation option, then they should be able to filter customers based on their previous purchase behavior and preferences to tailor the campaign accordingly.

Launching a Campaign on Social Media

Given a user has completed all campaign details on the Campaign Management Interface, when they click 'Launch Campaign', then the campaign should be scheduled and automatically posted across their connected social media channels at the specified start time.

User Training and Support for Campaign Tools

Given that users may be unfamiliar with the Campaign Management Interface, when they access the help section, then they should find comprehensive guides and tutorial videos available to assist them in using the feature effectively.

Customer Segmentation Tools

User Story: As a sales analyst, I want to segment our customer base so that we can deliver personalized marketing messages that resonate with different groups of customers.
Description: Customer Segmentation Tools allow users to categorize their customers based on various factors such as purchasing behavior, demographics, and engagement history. This requirement involves implementing algorithms to analyze customer data, providing insights that help in crafting personalized marketing messages. By leveraging these insights, breweries can tailor their campaigns to specific segments, leading to higher engagement rates and conversion. Effective segmentation is vital for maximizing marketing ROI by ensuring that promotional efforts are directed toward the right audiences.
Acceptance Criteria: User utilizes the Customer Segmentation Tools to categorize customers based on purchasing frequency over the past quarter.

Given the user has access to customer data, when they apply the segmentation criteria of purchasing frequency, then the system should provide a list of customers categorized into 'Frequent Buyers', 'Occasional Buyers', and 'Rare Buyers'.

A marketer wants to create a targeted campaign for the 'Occasional Buyers' segment to increase their purchasing frequency.

Given the 'Occasional Buyers' segment has been identified, when the user initiates a marketing campaign targeting this group, then the system should allow them to customize their campaign message and select an appropriate delivery method (email, social media).

A user reviews the effectiveness of previous marketing campaigns based on segmented customer data.

Given the marketing campaigns have been executed, when the user analyzes the performance reports, then the system should display metrics such as open rates, click-through rates, and conversion rates specifically for each customer segment.

The user wants to export the segmented customer lists for offline analysis and follow-up.

Given the segments have been created, when the user selects a segment and chooses the export option, then the system should generate a downloadable CSV file containing customer details relevant to the chosen segment.

A user intends to refine customer segments based on demographics such as age and location.

Given the demographic data is available, when the user applies these demographic filters within the customer segmentation tool, then the system should update the customer segments accordingly and display results in real-time.

The marketing team is planning to schedule a campaign based on the analysis of customer segments.

Given the segments have been created, when the marketing team schedules a campaign, then the system should allow scheduling with reminder notifications to team members for follow-up actions.

Integration with Email Marketing Platforms

User Story: As a brewery owner, I want to integrate Foamly with my email marketing platform so that I can easily manage email campaigns from one place and track their effectiveness.
Description: This requirement outlines the need for seamless integration between Foamly and popular email marketing platforms such as Mailchimp or Constant Contact. Users should be able to sync customer lists, track email campaign performance, and analyze engagement metrics without leaving Foamly. This integration not only streamlines the marketing workflow but also provides breweries with actionable insights on customer interactions, allowing for better decision-making and strategy adjustments in real-time.
Acceptance Criteria: User exports a customer list from Foamly to Mailchimp for an upcoming promotional campaign.

Given that the user has a connected Mailchimp account, when the user selects the 'Export to Mailchimp' option, then the customer list should be accurately transferred to Mailchimp without any errors.

User tracks the performance of an email campaign launched through Foamly.

Given that a user has created and sent an email campaign via Foamly, when the user accesses the email marketing dashboard, then the campaign performance data (like open rates, click rates, and conversions) should be accurately displayed and reflective of the actual campaign results.

User analyzes customer engagement metrics from email campaigns within Foamly.

Given that email campaigns have been sent to customers, when the user navigates to the analytics section in Foamly, then the engagement metrics (such as total opens, unique clicks, and unsubscribes) should be accurately calculated and presented in an easily understandable format.

User syncs customer information between Foamly and Constant Contact.

Given that the user has linked their Constant Contact account, when the user chooses to 'Sync Customers', then customer lists in Foamly should automatically update in Constant Contact without duplicates or data loss.

User creates a targeted promotional email segment based on sales insights in Foamly.

Given that the user has access to customer sales data, when the user applies filters to create a new segment for email marketing purposes, then the resulting segment should accurately reflect the selected criteria (e.g., purchase history and customer preferences) before launching a campaign.

User receives notifications of engagement thresholds being met for an email campaign.

Given that an email campaign is active, when the campaign reaches specified engagement thresholds (like a 20% open rate), then a notification should be sent to the user within Foamly to alert them of the milestone.

Social Media Management Tools

User Story: As a digital marketer, I want to manage and analyze our social media posts from Foamly so that I can increase our online engagement and streamline our promotional efforts.
Description: The Social Media Management Tools feature enables breweries to schedule, publish, and analyze social media posts directly from Foamly. This requirement includes the capability to create engaging content, view analytics of social performance, and manage multiple social media accounts simultaneously. By integrating social media management within Foamly, users can enhance their online presence, engage with their audience, and analyze the impact of their campaigns efficiently, leading to better brand visibility and customer interaction.
Acceptance Criteria: Brewery manager scheduling a week’s worth of social media posts for a new beer release campaign.

Given the brewery manager is logged into Foamly, when they select the date and time for each post and click 'Schedule', then the posts should be scheduled as per the selected times without any errors.

Marketing team analyzing engagement metrics for a recent promotional campaign across multiple platforms.

Given the marketing team has selected the campaign metrics dashboard, when they view the analytics report, then it should display metrics such as likes, shares, comments, and total reach for all connected social media accounts.

Brewery staff wanting to publish an Instagram post promoting a new seasonal beer with a designated image and caption.

Given the brewery staff has created a post with an image and caption, when they click 'Publish', then the post should display on the designated Instagram account immediately without any errors, and the system should confirm successful publication.

Brewery owner reviewing the performance of scheduled posts for feedback and optimization purposes.

Given the brewery owner has accessed the social media analytics section, when they filter the data for the scheduled posts, then it should show the performance of each post including engagement metrics and audience reach in a user-friendly format.

A content creator wanting to create a new engaging post for Facebook with a link to the brewery's website.

Given the content creator is on the post creation page, when they enter the text, upload an image, and include a link, then clicking 'Save as Draft' should store the post for later editing without any issues.

Brewery marketing coordinator needing to connect a new social media account to Foamly.

Given the marketing coordinator is in the social media account settings, when they provide the necessary credentials and confirm the connection, then the account should be linked successfully, allowing for future post management.

A brewery employee wanting to delete a scheduled post from the system before its designated publishing time.

Given the employee is viewing the list of scheduled posts, when they select a post and click 'Delete', then the post should be removed from the schedule and a confirmation message should appear indicating successful deletion.

Analytics Dashboard for Marketing Insights

User Story: As a marketing director, I want a comprehensive analytics dashboard to view campaign performance so that I can make data-driven decisions to enhance our marketing strategies.
Description: The Analytics Dashboard for Marketing Insights will aggregate data from all marketing campaigns, providing users with a comprehensive view of performance metrics such as ROI, customer engagement, and conversion rates. This dashboard is designed to help breweries assess the effectiveness of their marketing strategies in real-time and identify trends and areas for improvement. By integrating marketing analytics into Foamly, users can make informed decisions and adjust their strategies quickly to optimize results.
Acceptance Criteria: Analytics Dashboard Display for Marketing Metrics

Given the user is logged into Foamly, when they navigate to the Analytics Dashboard, then they should see aggregated performance metrics for all marketing campaigns, including ROI, customer engagement, and conversion rates, displayed visually with charts and graphs.

Real-time Data Updates on Analytics Dashboard

Given the user is viewing the Analytics Dashboard, when a new marketing campaign performance data is recorded, then the dashboard should automatically update to reflect this new data within 5 minutes without requiring a page refresh.

Filter Options for Marketing Analytics

Given the user is on the Analytics Dashboard, when they select different filter options (date range, campaign type, etc.), then the dashboard should refresh to display metrics that match the selected filtering criteria, ensuring all data reflects the new parameters.

User Permissions for Accessing Marketing Insights

Given a non-admin user is logged into Foamly, when they attempt to access the Analytics Dashboard, then they should receive a permission denied message if they do not have the required access rights, ensuring sensitive data is protected.

Exporting Marketing Analytics Data

Given the user is on the Analytics Dashboard, when they choose to export data, then they should be able to download the performance metrics in CSV or PDF format, ensuring data portability for reporting purposes.

User Alerts for Marketing Trends

Given the user has enabled notifications in their profile settings, when a significant change in marketing performance metrics occurs, then the user should receive an alert via email outlining the changes and suggested actions.

Comparative Analysis of Campaign Performances

Given the user is on the Analytics Dashboard, when they select two or more marketing campaigns for comparison, then the dashboard should overlay the metrics for the selected campaigns side by side, allowing the user to visually analyze differences and performance trends.

Local Supplier Directory

A comprehensive directory of local suppliers categorized by ingredient type, services, and sustainability practices. This feature enables breweries to easily discover and connect with nearby suppliers, streamlining the sourcing process and promoting local partnerships that are vital for community engagement and support.

Requirements

Supplier Search Functionality

User Story: As a brewer, I want to search for local suppliers by ingredient type so that I can efficiently find the right resources for my brewing process without wasting time.
Description: The Supplier Search Functionality allows users to search the Local Supplier Directory using various filters such as ingredient type, services offered, and sustainability practices. This feature is essential for breweries to quickly find suppliers that meet their specific requirements without navigating through extensive lists. It enhances user experience by providing an intuitive search interface that matches vendor offerings with brewery needs, ultimately streamlining the sourcing process.
Acceptance Criteria: User searches for a local supplier of hops based on sustainability practices.

Given the user is on the Supplier Search page, when they filter the suppliers by 'Sustainability Practices', then only suppliers meeting the selected sustainability criteria should be displayed in the results.

User wants to find suppliers who offer malt and yeast products only.

Given the user has selected 'Malt' and 'Yeast' in the ingredient type filter, when they execute the search, then the system should return only suppliers that provide either malt or yeast products.

User needs to identify suppliers based on service offerings like delivery and consultation.

Given the user is on the Supplier Search page, when they select 'Delivery' and 'Consultation' in the services offered filter, then the search results should display suppliers that offer both services.

User is searching for a specific supplier by name.

Given the user enters a supplier name in the search bar, when they submit the search, then the system should return the exact match or relevant suppliers containing the entered name.

User wants to clear filters and view all local suppliers.

Given the user has applied multiple filters in the Supplier Search, when they click on the 'Clear Filters' button, then all suppliers should be displayed without any filtering.

User seeks to see supplier details after searching.

Given the user has conducted a search, when they click on a supplier name in the results, then the system should display the supplier's detailed information including contact details and sustainability practices.

User attempts to search with no filters applied.

Given the user is on the Supplier Search page without any filters selected, when they execute the search, then the system should return the full list of local suppliers available in the directory.

Supplier Ratings and Reviews

User Story: As a brewer, I want to read reviews and ratings from other brewers to choose reliable local suppliers based on their experiences so that I can avoid poor-quality partnerships.
Description: The Supplier Ratings and Reviews feature enables users to provide and view feedback on suppliers in the Local Supplier Directory. This requirement is vital for establishing trust and reliability among community members by allowing brewers to make informed decisions based on the experiences of their peers. Incorporating user-generated content also fosters community engagement and enhances supplier accountability.
Acceptance Criteria: User submits a rating and review for a local supplier after receiving products from them.

Given a logged-in user, when they access the Local Supplier Directory, then they can select a supplier and submit a rating between 1 to 5 stars and provide written feedback that is saved to the system.

User views existing ratings and reviews for a local supplier in the directory.

Given a user viewing a specific supplier's page in the Local Supplier Directory, when they check the Ratings and Reviews section, then they should see all previously submitted ratings and reviews for that supplier, displayed in chronological order.

Admin removes an inappropriate review submitted by a user.

Given an admin user, when they access flagged reviews for any supplier, then they can view the reasons for the flags and have the ability to remove inappropriate reviews while providing a reason for removal that is logged in the system.

User filters suppliers by sustainability ratings based on reviews.

Given a user on the Local Supplier Directory page, when they apply a filter for sustainability ratings, then the directory should only display suppliers that meet or exceed the selected sustainability rating threshold based on user reviews.

User receives a notification when a new review is posted for a supplier they reviewed.

Given a user who has submitted a review for a supplier, when another user posts a new review for the same supplier, then the original reviewer should receive a notification alerting them of the new review.

User edits or deletes their own submitted review for a supplier.

Given a user on the supplier's page where they submitted a review, when they choose to edit or delete their review, then the changes or removal must be effectively applied and reflected in the ratings and reviews section.

Users can report a review as inappropriate.

Given a user viewing a supplier's reviews, when they select a review and choose to report it, then the review should be flagged for admin review and the reporting user should receive confirmation that their report was submitted.

Supplier Comparison Tool

User Story: As a brewer, I want to compare multiple local suppliers at once so that I can choose the most suitable one that fits my budget and quality criteria.
Description: The Supplier Comparison Tool facilitates side-by-side comparisons of multiple suppliers based on various criteria such as pricing, services offered, and sustainability metrics. This functionality assists breweries in making data-driven decisions when selecting suppliers, ultimately leading to better sourcing strategies. By visually presenting the differences between suppliers, it helps users quickly identify the best options for their specific needs.
Acceptance Criteria: Supplier Comparison Tool allows users to view detailed comparisons of local suppliers side by side based on price, services offered, and sustainability practices.

Given the user accesses the Supplier Comparison Tool, when they select multiple suppliers, then they should see a side-by-side comparison of prices, services, and sustainability metrics for each supplier.

Users can filter the comparison results based on specific criteria such as price range and types of services offered.

Given the user has selected multiple suppliers for comparison, when they apply filters based on price and services, then the comparison results should update to only show suppliers that meet the filter criteria.

Users can save and export their comparison findings for future reference or sharing with team members.

Given the user has made selections in the Supplier Comparison Tool, when they choose to save or export the comparison, then the tool should generate a downloadable report in PDF format containing the comparison details.

The Supplier Comparison Tool displays visual indicators for the best options among compared suppliers.

Given the user has selected multiple suppliers, when they view the comparison results, then the tool should visually highlight the best prices, services, and sustainability metrics using distinguishing indicators (e.g., colors, icons).

The Supplier Comparison Tool integrates with inventory management to suggest supply options based on current inventory levels.

Given the user is viewing supplier comparisons, when they check their inventory levels, then the tool should suggest suppliers that offer the ingredients in low stock, making sourcing easier.

Users can provide feedback on suppliers directly through the comparison tool after reviewing the information.

Given the user has viewed the supplier comparisons, when they decide to give feedback on a particular supplier, then they should have an option to submit a rating and comments directly through the interface.

Map Integration for Supplier Locations

User Story: As a brewery owner, I want to see the locations of local suppliers on a map so that I can plan my sourcing strategy based on proximity and ease of delivery.
Description: The Map Integration for Supplier Locations provides a visual representation of suppliers on a map, allowing users to easily identify the proximity of suppliers to their brewery. This feature enhances the sourcing process by enabling brewers to prioritize local purchases and assess delivery logistics visually. It plays a critical role in optimizing the supply chain and fostering local community relationships.
Acceptance Criteria: Map Integration displays all local suppliers within a specified radius from the brewery.

Given the user is viewing the supplier list, when they set a radius on the map, then the map should show only suppliers within that defined radius.

Users can click on a supplier's marker on the map to view detailed information about the supplier.

Given the user clicks on a supplier marker, when the supplier information window opens, then the window should display the supplier's name, address, contact information, and sustainability practices.

The map automatically updates to reflect new suppliers added to the directory.

Given a new supplier is added to the system, when the user refreshes the map, then the new supplier's marker should appear on the map at the appropriate location.

Users can filter suppliers by ingredient type displayed on the map.

Given the user selects an ingredient type from a filter, when the map is refreshed, then only suppliers providing that ingredient type should be displayed on the map.

The map integration works seamlessly on both desktop and mobile devices.

Given the user is accessing Foamly on mobile or desktop, when they navigate to the supplier map, then the map should be fully functional, maintaining all features and usability across devices.

Users can zoom in and out on the map to get different views of supplier locations.

Given the user interacts with the map controls, when they zoom in or out, then the map should accurately update to show the detailed or broader view of supplier locations without data loss.

Sustainability Practices Filter

User Story: As an environmentally conscious brewer, I want to filter suppliers by their sustainability practices so that I can source ingredients that align with my ethical standards.
Description: The Sustainability Practices Filter allows users to filter suppliers based on their sustainability and environmental practices. This feature is increasingly important for breweries that prioritize eco-friendly sourcing, enabling them to easily find suppliers aligned with their values. By fostering environmentally responsible partnerships, it also enhances the overall sustainability reputation of breweries.
Acceptance Criteria: User wants to view suppliers who operate under eco-friendly practices.

Given the user is on the Local Supplier Directory, When the user applies the Sustainability Practices Filter, Then the list of suppliers displayed should only include those with verified eco-friendly practices.

User needs to identify suppliers based on specific sustainable certification standards.

Given the user opens the Sustainability Practices Filter, When the user selects a specific sustainability certification, Then only suppliers with that certification should be displayed in the search results.

User intends to compare multiple suppliers' sustainability practices easily.

Given the user has filtered the suppliers by sustainability practices, When the user selects two or more suppliers for comparison, Then the system should display a side-by-side comparison of each supplier's sustainability practices and certifications.

User wants to ensure suppliers comply with the brewery's sustainability guidelines.

Given the user has filtered the suppliers, When the user views the supplier details, Then the sustainability information displayed should match the parameters defined in the brewery's sustainability guidelines.

User is navigating the directory and encounters a supplier with missing sustainability information.

Given the user filters the suppliers by sustainability practices, When the user clicks on a supplier without sustainability data, Then a message should appear indicating that the sustainability practices are not provided by the supplier.

User seeks to determine the geographic location of suppliers with sustainable practices.

Given the user is accessing the Sustainability Practices Filter, When the user applies a geographic filter, Then the system should list only those suppliers within the selected geographic parameters who have sustainable practices.

Collaborative Promotion Planner

A tool that allows breweries to design and implement joint marketing campaigns with local suppliers. This feature facilitates collaborative efforts, enabling users to co-create promotions, share advertising costs, and enhance visibility within the community, thereby attracting more customers to both businesses.

Requirements

Campaign Collaboration Dashboard

User Story: As a brewery manager, I want to have a dashboard where I can collaborate with local suppliers on marketing campaigns so that we can effectively plan and execute joint promotions that attract more customers.
Description: The Campaign Collaboration Dashboard enables breweries to visually manage their joint marketing campaigns with local suppliers. This centralized space allows users to track progress, monitor budget allocations, and assess campaign performance in real-time. Through intuitive design and interactive features, users can easily navigate through different campaigns, ensuring seamless communication and collaboration with suppliers. This feature will enhance the efficiency of planning and executing marketing strategies, ultimately leading to improved customer engagement and increased sales for both breweries and suppliers.
Acceptance Criteria: Campaign Creation and Setup Process

Given a user is logged into the Foamly platform, when they attempt to create a new collaborative marketing campaign, then they should be able to enter campaign details, select co-partners from a list of local suppliers, and choose start and end dates for the campaign.

Budget Allocation Tracking

Given a collaborative marketing campaign has been created, when the user allocates budget to different advertising options, then the system should accurately display the total budget, individual ad costs, and remaining budget in real-time on the dashboard.

Performance Monitoring of Campaigns

Given a collaborative campaign is running, when the user accesses the Campaign Collaboration Dashboard, then they should see real-time analytics showing engagement metrics such as customer reach, ad performance, and conversion rates for the campaigns.

Supplier Communication and Updates

Given multiple users from different breweries are collaborating on a campaign, when any user updates campaign details or budget allocations, then all users should receive an instant notification of the changes made.

Campaign Insights and Reporting

Given a campaign has concluded, when the user generates a performance report, then the system should provide detailed insights including total expenditure, returns on ad spend, and a comparison of expected versus actual results.

User Interface Usability

Given a user is interacting with the Campaign Collaboration Dashboard, when navigating the dashboard, then they should find it intuitive, with all relevant information easily accessible and displayed clearly without requiring extensive training.

Shared Budgeting Tool

User Story: As a brewery marketing coordinator, I want to manage a shared budget with our suppliers so that we ensure financial transparency and prevent any overspending in joint marketing campaigns.
Description: The Shared Budgeting Tool allows breweries and suppliers to collaboratively set and manage budgets for joint promotions. This tool facilitates transparency and accountability by enabling both parties to view, edit, and approve budget proposals and expenditures in real-time. By simplifying financial management, breweries can ensure that advertising costs are evenly shared, and that campaigns are financially sustainable. This feature reduces misunderstandings over spending and fosters a stronger partnership between breweries and suppliers.
Acceptance Criteria: User navigates to the Shared Budgeting Tool and successfully creates a new budget proposal for a joint promotion with a local supplier.

Given the user has the necessary permissions, when the user fills out the budget proposal form and submits it, then the proposal should be saved in the system and visible to both the brewery and the supplier.

Both the brewery and the supplier review a budget proposal in real-time within the Shared Budgeting Tool.

Given both parties have access to the proposal, when they open the budget, then they should see each other's comments and proposed edits immediately displayed on the same page.

The brewery approves a budget proposal after reviewing the shared comments from the supplier.

Given the budget proposal is open, when the brewery clicks the 'Approve' button, then the proposal status should update to 'Approved' and be reflected in both parties' budget lists.

The supplier requests an adjustment to an approved budget in the Shared Budgeting Tool.

Given the budget has been approved, when the supplier submits a request for adjustment and provides justification, then the proposal should be reopened for discussion, and all involved parties should receive a notification of the request.

Both parties collaboratively track the expenditures against the approved budget during the promotion period.

Given the campaign is active, when the expenditures are logged, then both the brewery and supplier should see a real-time update of the remaining budget along with a detailed log of expenses.

The brewery generates a report on the budget utilization after the joint promotion ends.

Given the promotion has concluded, when the brewery accesses the report generation option, then they should be able to produce a comprehensive report detailing budget proposed, actual expenditures, and remaining balance.

Community Promotion Calendar

User Story: As a local brewery owner, I want to see a community calendar of all marketing promotions so that my brewery can plan our events effectively and collaborate with others without overlapping.
Description: The Community Promotion Calendar is a dynamic calendar feature that displays all current and upcoming joint marketing promotions within the local community. Users can view campaigns scheduled by other breweries and suppliers, encouraging collaboration and minimizing scheduling conflicts. This calendar will help breweries to strategically align their promotions with local events, enhancing community engagement and maximizing advertising impact. It serves as a hub for planning promotions that coincide with local festivities and events, making joint efforts more effective and visible.
Acceptance Criteria: User views the Community Promotion Calendar to check for upcoming joint marketing promotions that align with a local festival event.

Given the user is logged into Foamly, when they access the Community Promotion Calendar, then they should see a list of all upcoming promotions, including dates, participating breweries, and suppliers.

A brewery schedules a new joint promotion with a supplier for a local event using the Community Promotion Calendar.

Given the user has the required permissions, when they select a date in the Community Promotion Calendar and enter promotion details, then the promotion should be saved and displayed on the calendar without conflicts with existing promotions.

A user receives a notification about a new promotion added to the Community Promotion Calendar that aligns with their own marketing plans.

Given the user has opted in for notifications, when a promotion is added to the Community Promotion Calendar that coincides with their planned events, then the user should receive a timely notification via email or in-app message.

A brewery wants to review past promotions to assess their impact and effectiveness.

Given the user is viewing the Community Promotion Calendar, when they select the filter for past promotions, then they should be able to see a list of all completed promotions along with their details such as engagement metrics and outcomes.

A group of breweries wants to collaborate and plan promotions strategically using the Community Promotion Calendar.

Given multiple users from different breweries are accessing the Community Promotion Calendar, when they propose a collaborative event date, then the system should alert them to any scheduling conflicts and allow them to choose alternative dates.

A brewery seeks to maximize visibility for a promotion by aligning it with a popular community event.

Given the user is viewing the Community Promotion Calendar, when they hover over a community event date, then they should see suggested promotion options based on previous successful collaborations on similar dates.

Promotional Analytics Module

User Story: As a brewery data analyst, I want access to analytics on past promotional campaigns so that I can determine what strategies were most effective and improve our future marketing efforts.
Description: The Promotional Analytics Module provides breweries with detailed insights into the performance of their joint marketing campaigns. It integrates data analytics tools that compile user engagement metrics, sales figures, and customer feedback to evaluate the success of each promotion. By leveraging this data, breweries can refine their marketing strategies, optimize future campaigns, and demonstrate the value of collaboration to their suppliers. This feature empowers breweries to make informed decisions based on historical performance and trends, ultimately leading to more effective marketing efforts.
Acceptance Criteria: Campaign Performance Analysis for Joint Promotions

Given that a brewing company has completed a joint marketing campaign with a supplier, when they access the Promotional Analytics Module, then they must be able to view detailed metrics including user engagement, sales figures, and customer feedback for that specific campaign.

User Engagement Metrics Retrieval

Given that multiple collaborative promotions have been conducted, when the brewery selects a specific promotion in the Promotional Analytics Module, then they should receive a report displaying user engagement metrics such as click-through rates and social media interactions for that promotion.

Sales Data Comparison Across Campaigns

Given that a brewery has run several joint promotions over the past year, when accessing the Promotional Analytics Module, then the brewery should be able to compare sales figures for each promotion side-by-side to evaluate performance differences.

Customer Feedback Aggregation

Given that customer feedback has been collected post-campaign, when a brewery accesses the Promotional Analytics Module, then they should be able to view aggregated customer feedback and sentiment analysis for each joint marketing campaign.

Historical Performance Trend Reporting

Given that promotional campaigns have been conducted over a period, when a brewery accesses the Promotional Analytics Module, then they should be able to generate a report showing historical performance trends of joint promotions including metrics like ROI and overall customer reach.

Integration of External Data Sources

Given that breweries may wish to enhance their promotional analytics with external data, when they configure the Promotional Analytics Module, then they must be able to integrate data from social media, email campaigns, and point-of-sale systems for comprehensive analysis.

Supplier Communication Suite

User Story: As a marketing coordinator for our brewery, I want a dedicated communication tool to interact with our suppliers so that we can streamline our discussions and share important campaign files instantly.
Description: The Supplier Communication Suite is designed to enhance interactions between breweries and suppliers during the campaign planning process. This feature includes a messaging platform, file sharing capabilities, and key document management for all campaign-related communications. With everything in one place, breweries and suppliers can streamline their communication, ensuring that all details are shared promptly and effectively. This tool is essential for real-time collaboration and helps to eliminate misunderstandings that can arise during campaign development.
Acceptance Criteria: Supplier Communication and Collaboration during Campaign Planning

Given a brewery initiates a campaign, when they select a supplier and send a message, then the supplier should receive the message notification within 1 minute and be able to respond to it.

File Sharing for Campaign Resources

Given a brewery uploads a promotional resource file, when the file is shared with the selected supplier, then the supplier should be able to download the file successfully and view it without errors.

Document Management for Campaign Records

Given a campaign is created, when key documents are uploaded and associated with the campaign, then those documents should be accessible to both the brewery and supplier in the document management section without loss of data.

Real-time Chat Functionality for Instant Communication

Given a brewery user and a supplier user are both online, when they engage in a chat session, then their messages should appear in real-time without delays, allowing for fluid conversation.

Tracking Campaign Communication History

Given a campaign is active, when the brewery and supplier review the communication log, then they should see a complete history of messages, shared files, and document uploads relevant to that campaign.

User Role Management and Access Control

Given a supplier is added to a campaign, when the brewery sets user roles, then the supplier’s access should be limited to only the files and messages related to that specific campaign, ensuring confidentiality.

Integration with Existing Marketing Tools

Given the brewery uses third-party marketing tools, when a campaign plan is created, then the brewery should be able to export campaign details to those tools without errors, maintaining data integrity.

Ingredient Exchange Marketplace

An interactive platform within the Craft Community Hub where breweries can list surplus ingredients available for trade or donation. This feature reduces waste by allowing local breweries to exchange excess supplies with one another, fostering a collaborative spirit and supporting sustainability initiatives in the brewing community.

Requirements

Ingredient Listing and Search

User Story: As a brewery owner, I want to quickly list surplus ingredients I have available so that other local breweries can easily find and exchange them, reducing waste and supporting our community.
Description: This requirement involves creating a system for breweries to easily list surplus ingredients they have available for trade or donation. The functionality will include categorization of ingredients, search filters for other breweries to find needed items, and a user-friendly interface that promotes quick and efficient listings. It will integrate seamlessly with the existing Craft Community Hub, allowing users to navigate and manage their listings effectively. This feature will enhance community interaction and support sustainability efforts by connecting breweries in need of specific ingredients with those that have excess.
Acceptance Criteria: Ingredient Listing Process for Surplus Items

Given a brewery has surplus ingredients, when they navigate to the Ingredient Exchange Marketplace, then they should be able to create a new listing by filling out all required fields such as ingredient type, quantity, and availability date.

Ingredient Search Functionality

Given a brewery is looking for specific ingredients, when they apply search filters like ingredient type and location, then they should see a list of available surplus ingredient listings that match their criteria.

User Interface for Ingredient Listing

Given a brewery is on the Ingredient Exchange Marketplace, when they attempt to list an ingredient, then the interface should guide them through a simple step-by-step process, ensuring all necessary information is captured and confirming successful submission.

Categorization of Ingredients for Easy Navigation

Given the Ingredient Exchange Marketplace is in use, when browsing or searching for ingredients, then ingredients should be categorized appropriately (e.g., hops, malt, yeast) to provide intuitive navigation for users.

Integration with Existing Craft Community Hub

Given the Ingredient Exchange Marketplace is integrated with the Craft Community Hub, when a user accesses their profile, then they should see their ingredient listings displayed along with any received requests or trades.

Notification System for Ingredient Trades

Given a user has created a listing or requested an ingredient, when an action occurs (e.g., a trade offer is made), then they should receive a notification via email and within the Craft Community Hub.

Trade Agreement Workflow

User Story: As a brewery owner, I want a clear process for negotiating and agreeing on trades so that I can ensure transparency and accountability in our exchanges with other breweries.
Description: This requirement establishes a system to facilitate agreements between breweries for the trade or donation of ingredients. It will include functionalities for initiation, negotiation, and finalizing trades, with notification alerts to keep users informed at each step. The workflow will ensure that both parties have visibility into the transaction process and will provide documentation for accountability. This will enhance the trading experience by making it transparent and organized, promoting a collaborative brewing environment.
Acceptance Criteria: Trade initiation between two breweries for surplus hops.

Given Brewery A wants to trade surplus hops, When they create a trade request on Foamly, Then Brewery B should receive a notification of the trade request and details of the offered hops.

Negotiation process for a trade agreement between two breweries.

Given Brewery A and Brewery B are negotiating a trade, When either brewery adds a message or counter-offer to the trade, Then both parties should receive real-time notifications and have a clear log of the negotiation history.

Finalizing a trade agreement between breweries and documenting the transaction.

Given that both Brewery A and Brewery B agree on the trade terms, When the trade is finalized, Then the system should generate a trade confirmation document that includes details of the ingredients, quantities, and agreed terms, accessible to both breweries.

Notification alert system for trade agreement updates.

Given that a trade request or agreement is updated, When the update occurs, Then all parties involved in the trade should receive an immediate notification via the platform and email, ensuring they are informed promptly.

Visibility into the transaction process for both breweries involved in a trade.

Given that Brewery A and Brewery B are engaged in a trade, When either brewery accesses the trade agreement, Then they should see an up-to-date status of the trade including notes, documents, and completion date.

Tracking of surplus ingredient exchanges to promote sustainability.

Given that a trade has been successfully completed, When both breweries complete the post-trade survey on Foamly, Then the system should compile and display the total ingredients exchanged, showing the impact on waste reduction in the brewing community.

User interface for managing trade agreements and notifications.

Given a user is on the trade management page of Foamly, When they access their trade agreements, Then the UI should clearly display all active, completed, and pending agreements in an organized manner with filter options.

Community Feedback and Rating System

User Story: As a brewery owner, I want to read reviews and ratings of other breweries before engaging in a trade so that I can choose reliable partners for my ingredient exchanges.
Description: To foster trust and reliability within the Ingredient Exchange Marketplace, this requirement implements a feedback and rating system for breweries participating in trades. Breweries can leave reviews and rate their trading partners based on their experiences, promoting accountability and quality interactions. This system will encourage good practices and help breweries identify reputable partners, ultimately enhancing the community's collaborative spirit and overall experience.
Acceptance Criteria: Brewery requests a trade of surplus hops with another local brewery through the Ingredient Exchange Marketplace and waits for a response.

Given a brewery has surplus hops listed for trade, when another brewery requests the trade, then the request should be sent successfully and the listing updated to reflect the request status.

A brewery leaves a review after successfully completing a trade, reflecting their experience with the trading partner.

Given a brewery has successfully completed a trade, when they leave a review and rating, then the review should be saved and displayed publicly on the trading partner's profile, and the average rating should update accordingly.

A brewery wants to filter and view potential trading partners based on their ratings and reviews.

Given a brewery is on the Ingredient Exchange Marketplace, when they apply filters for ratings and reviews, then only breweries that meet the filter criteria should be displayed in the search results.

A brewery reports an issue with a trade, citing that their trading partner did not fulfill their end of the agreement.

Given a brewery has a concern about a trade, when they submit a report detailing the issue, then the system should record the report, notify the admin team for follow-up, and provide confirmation to the reporting brewery.

Upon receiving a low rating from a trading partner, a brewery wants to understand the feedback to improve future trades.

Given a brewery receives a review with a low rating, when they access the feedback section, then they should be able to view the detailed feedback explanation and suggested improvements highlighted by the reviewer.

A new brewery joins the Ingredient Exchange Marketplace and needs to understand how to leave feedback for trades.

Given a new brewery has completed their first trade, when they navigate to the feedback section, then they should see step-by-step instructions explaining how to leave a review and rating.

A brewery wants to see the historical feedback received and given during trades to track performance over time.

Given a brewery is logged into their account, when they access their profile, then they should be able to view a complete historical log of all reviews and ratings they've given and received, including timestamps and comments.

Notifications and Alerts System

User Story: As a brewery owner, I want to receive alerts about new ingredient listings and trade requests so that I can stay informed and make timely decisions regarding ingredient exchanges.
Description: This requirement focuses on developing a notifications system that alerts users to relevant activities within the Ingredient Exchange Marketplace, such as new listings, responses to trade requests, or updates on trades. It will ensure users remain informed and engaged with the community, enabling them to act quickly on opportunities to reduce waste and optimize their ingredient usage. The notification settings will be customizable to fit individual user preferences for communication, enhancing user experience.
Acceptance Criteria: User receives a notification when a new ingredient listing is added to the Ingredient Exchange Marketplace.

Given the user has opted in to receive notifications for new listings, when a new ingredient is listed, then the user receives a real-time notification in their app and via email.

User is alerted when there is a response to their ingredient trade request.

Given the user has submitted a trade request, when a brewery responds to their request, then the user receives a notification in the app and an email alerting them of the response.

User can customize their notification settings according to their preferences.

Given the user accesses the notification settings, when they adjust their preferences for alerts on listings, trades, or responses, then those preferences are saved and applied to future notifications.

User receives a reminder notification about pending trades.

Given the user has active trades, when the trade is nearing its expiration date, then the user receives a reminder notification both in the app and via email 24 hours before expiration.

User can easily access their notification history within the app.

Given the user navigates to the notifications section in the app, when they view their notification history, then they can see timestamps and details for all previous notifications.

User can opt out of specific types of notifications without affecting other alerts.

Given the user is in the notification settings, when they choose to opt out of trade response notifications, then they continue to receive alerts for new listings and reminders without interruptions.

Ingredient Inventory Integration

User Story: As a brewery owner, I want my surplus ingredient listings to be automatically informed by my inventory levels so that I can easily manage my supplies and trade accordingly without manual effort.
Description: This requirement aims to integrate the Ingredient Exchange Marketplace with Foamly's existing inventory management capabilities. By linking surplus ingredient listings directly with inventory levels, breweries can better manage their supplies and automatically receive suggestions for available trades. This will streamline the process of identifying excess ingredients and facilitate more efficient trading, ultimately enhancing operational efficiency.
Acceptance Criteria: Surplus ingredient listings are posted and updated by breweries in the Ingredient Exchange Marketplace.

Given a brewery has surplus ingredients available, when they post those ingredients in the Ingredient Exchange Marketplace, then the listings should be visible to other breweries within the marketplace.

Breweries receive automated suggestions for trades based on their inventory levels and surplus listings.

Given a brewery has surplus ingredients listed, when their inventory levels change, then they should receive automated trade suggestions that match their surplus with other breweries' needs.

Breweries initiate and complete transactions based on trade suggestions from the Ingredient Exchange Marketplace.

Given a brewery receives trade suggestions, when they accept a trade, then the transaction should update both breweries' inventory levels to reflect the trade made.

Breweries can filter and search for specific ingredient types in the Ingredient Exchange Marketplace.

Given a brewery wants to find specific ingredients, when they use the search functionality, then they should be able to see a filtered list of surplus ingredients available for trade.

The Ingredient Exchange Marketplace tracks and reports on the quantity of wasted ingredients reduced through trades.

Given that trades are completed, when the data is collected, then the platform should display metrics showing the quantity of ingredients wasted before and after trades.

Breweries receive notifications when new surplus ingredient listings are posted.

Given a brewery is registered in the marketplace, when a new surplus listing is created, then they should receive a notification to alert them of the new availability.

The integration allows breweries to manage their inventory more efficiently through seamless linking to the Ingredient Exchange Marketplace.

Given that the Ingredient Inventory Integration is implemented, when a brewery views their inventory, then any surplus ingredients listed in the marketplace should be displayed alongside their current inventory levels.

Analytics Dashboard for Trades

User Story: As a brewery owner, I want to view data on my trading activities and trends within my community so that I can make informed decisions about my ingredient sourcing and partnerships.
Description: This requirement entails the creation of an analytics dashboard that provides insights into trading activities within the Ingredient Exchange Marketplace. Breweries will have access to data such as trade frequency, commonly traded ingredients, and partner performance metrics. This functionality will empower breweries to make data-driven decisions regarding their ingredient management and identify trends in ingredient availability and market practices across their community.
Acceptance Criteria: Brewery accesses the analytics dashboard to view trading activities after logging into the Ingredient Exchange Marketplace.

Given the brewery has logged into the Ingredient Exchange Marketplace, when they navigate to the analytics dashboard, then they should see trade frequency data displayed over the last month.

A brewery wants to analyze which ingredients are most commonly traded in the previous quarter using the analytics dashboard.

Given the brewery is on the analytics dashboard, when they select the report for common ingredient trades for the last quarter, then the dashboard should display a ranked list of the top 10 most traded ingredients with corresponding quantities.

A brewery wants to evaluate the performance of their trading partners using the metrics provided in the analytics dashboard.

Given the brewery is viewing the analytics dashboard, when they filter the partner performance metrics by the last year, then the dashboard should display a performance report showing trade counts, total value exchanged, and feedback ratings for each partner.

A brewery notices an unusual drop in ingredient trades and wants to identify trends affecting their marketplace interactions.

Given the brewery accesses the analytics dashboard, when they analyze the trade trend graphs over the last six months, then they should be able to view a clear trend line indicating increases or decreases in trades, along with potential correlation to external events noted in the marketplace activity.

A brewery wants to receive notifications for trade insights from the analytics dashboard regularly.

Given the brewery accesses the analytics dashboard and sets up their notification preferences, when they save the settings, then they should receive automated weekly email summaries of trading activities and insights reflecting their specified criteria.

A brewery seeks to view comprehensive analytics on ingredient donations as part of their monitoring of community engagement.

Given the brewery accesses the analytics dashboard, when they select the donation analytics view, then the dashboard should display statistics on total donations made, received, and the types of ingredients involved, along with visual representations such as charts or graphs.

Event Calendar Integration

A centralized calendar that highlights local craft beer events, festivals, and markets. This feature enables breweries to stay informed about community happenings and collaborate on joint events, increasing engagement with consumers and enhancing the craft beer culture in their area.

Requirements

Centralized Event Calendar

User Story: As a brewery manager, I want to see a centralized calendar of local craft beer events so that I can plan our participation and promotions effectively to engage with our community better.
Description: The centralized event calendar will aggregate local craft beer events, festivals, and markets into a single accessible interface for breweries. This requirement includes functionality for breweries to add events, receive notifications for upcoming happenings, and view events based on location and date. The integration of this calendar into the Foamly platform will provide breweries with an efficient tool for enhancing community engagement, enabling them to coordinate joint events, share promotional activities, and increase visibility within their local craft beer culture. The expected outcome is a strengthened community connection and increased participation in local events by consumers, supported by robust analytics to track engagement.
Acceptance Criteria: Brewer adds a new event to the centralized event calendar.

Given the brewer is logged into the Foamly platform, when they navigate to the event calendar and fill out the event form with valid details, then the new event should be successfully added and visible to all users.

Brewer receives a notification for an upcoming event.

Given the event is scheduled within the next week, when the notification settings are enabled by the brewer, then the brewer should receive a notification 3 days prior to the event via email and in-platform notification.

User views events filtered by location and date.

Given the user selects a specific location and date range in the event calendar, when they apply filters, then only events matching the criteria should be displayed in the calendar view.

Brewer collaborates with another brewery on a joint event.

Given that both breweries have access to the centralized event calendar, when they create a joint event and invite each other, then the event should appear in both breweries' calendars with proper attribution.

Analytics displayed for community engagement in local events.

Given that events were added and attended, when the brewery checks the analytics dashboard, then they should be able to see metrics such as attendance numbers, user engagement, and event reach within the selected date range.

User navigates the event calendar interface.

Given the user is on the event calendar page, when they interact with it, then they should be able to easily view, filter, and navigate through the events without encountering any errors or usability issues.

Brewer edits an existing event in the centralized calendar.

Given the brewer is logged into their account, when they select an existing event and make changes to the event details, then those changes should be saved and reflected on the calendar immediately after submission.

Event Collaboration Tool

User Story: As a brewery owner, I want a tool to collaborate with other breweries on local events so that we can enhance our presence and pull resources together for greater success.
Description: The event collaboration tool will enable multiple breweries to coordinate and collaborate on joint events seamlessly. This feature will include communication channels, shared event planning tools, and a mutual approval system for event participation and resource sharing. By fostering better collaboration, this requirement aims to enhance community efforts and promote joint marketing strategies among local craft breweries. The implementation will encourage synergistic relationships between breweries, leading to larger and more successful events that benefit all participating parties. Success metrics will include the number of collaborative events held and collective attendance rates.
Acceptance Criteria: Brewery A wants to organize a craft beer festival and needs to coordinate with Brewery B and Brewery C. They access the Event Collaboration Tool to share event details, discuss logistics, and finalize the event date and location.

Given that Brewery A initiates an event collaboration, When Brewery A invites Brewery B and Brewery C to collaborate, Then all invited breweries should receive a notification and access to shared planning tools.

Brewery A and Brewery B have designed a joint event for a local festival and need to discuss marketing strategies and logistics. They utilize the embedded communication channels within the Event Collaboration Tool for this purpose.

Given that Brewery A and Brewery B are collaborating on an event, When they use the communication channels to discuss strategies, Then all messages should be logged and accessible to both parties at any time.

Brewery A proposes a joint event to Brewery B, and both breweries need to approve participation and resource sharing details before announcing the event publicly.

Given that Brewery A submits an event proposal to Brewery B, When Brewery B reviews and accepts the proposal, Then both breweries should be notified of the mutual approval, and event details made public should reflect both breweries.

After successful collaboration on several events, the breweries wish to analyze their collaborative effectiveness and attendance.

Given that a report for collaborative events is generated, When the data is reviewed, Then the report should show total events held, total attendance, and engagement statistics for the participating breweries.

Brewery A and Brewery C would like to set up a joint event on a weekend and need to check for scheduling conflicts before finalizing the event date.

Given that Brewery A and Brewery C access the event scheduling calendar, When they input their current schedules, Then any conflicting dates should be highlighted to avoid scheduling issues before approval.

Multiple breweries are interested in collaborating for a summer craft beer festival; they need to confirm resources like booths and staffing for the event.

Given that breweries enter resource requirements into the collaboration tool, When each brewery submits their resource needs, Then the tool should compile a comprehensive resource plan that highlights what each brewery will provide and what is still needed.

An organizer wants to ensure that the Event Collaboration Tool is user-friendly for all participating breweries, especially new users.

Given that new users are onboarded to the Event Collaboration Tool, When they initiate their first event collaboration, Then they should complete the onboarding process with a satisfaction rating of at least 80% in usability surveys post-collaboration.

Consumer Engagement Analytics

User Story: As a brewery marketing director, I want to analyze event attendance and sales data so that I can determine which events generate the most customer engagement and sales for our brewery.
Description: The consumer engagement analytics feature will provide breweries with insights into how events influence consumer behavior and sales. This requirement will leverage data collection during events to quantify engagement levels, attendance numbers, and resultant sales in the weeks following events. By integrating analytics with the calendar feature, breweries can track which events drive the most foot traffic and sales, helping them to make informed decisions about future event participation and marketing strategies. The anticipated outcome is improved event planning and marketing ROI based on data-driven insights.
Acceptance Criteria: Consumer Engagement Analytics Dashboard Usage

Given a brewery accesses the Analytics Dashboard after an event, when they view the consumer engagement analytics report, then the report should display total attendance numbers, sales data for the event, and insights into consumer behavior changes in the weeks following the event.

Integration with Event Calendar

Given that events have been added to the centralized event calendar, when a brewery clicks on an event to view details, then it should display all relevant analytics data, including attendance and sales metrics for past events linked to this one.

Reporting of Event Performance Metrics

Given that a brewery has participated in multiple events, when they generate a report from the analytics feature, then the report should list each event's performance based on foot traffic and sales over a specified period, comparing against previous events.

Real-Time Data Collection at Events

Given that a brewery is participating in an event, when they collect data on consumer interactions and sales during the event, then the data should be accurately reflected in the analytics dashboard within 24 hours post-event.

User-Friendly Analytics Interface

Given that a user is navigating the consumer engagement analytics feature, when they access any section of the analytics dashboard, then the interface should be intuitive, allowing easy access to data and insights with minimal training.

Customizable Analytics Reports

Given that a brewery wants to analyze specific aspects of consumer engagement, when they create a custom report, then the system should allow them to select variables such as event type, date range, and location to generate tailored insights.

Impact Analysis of Joint Events

Given that multiple breweries collaborate on a joint event, when they analyze the consumer engagement data post-event, then the results should indicate combined attendance figures, collaboration impact on sales, and consumer feedback to assess the event's success.

User Notification System for Events

User Story: As a brewery staff member, I want to receive notifications about new local events and updates so that we can respond quickly and adjust our plans accordingly.
Description: The user notification system will ensure that breweries are alerted about upcoming local events, changes, and collaborations. This requirement will include customizable notification settings where users can select what events or changes they wish to be notified about, either through email or in-app notifications. The implementation is crucial for keeping breweries informed and allowing them to act quickly on new opportunities or changes that may affect their participation. The expected benefit is streamlined communication and more responsive event planning by breweries.
Acceptance Criteria: User Customization of Notification Preferences.

Given that a user is logged into the Foamly application, when they navigate to the notification settings section, then they should be able to customize their notification preferences for local events, choosing between email and in-app notifications for specific types of events.

Receiving Notifications for Upcoming Events.

Given that a user has selected to receive notifications for upcoming local events, when an event is within one week of its starting date, then the user should receive a notification via their preferred method (email or in-app) informing them of the event details.

Notifications for Changes to Event Details.

Given that an event has been previously saved in the user's event list, when there is a change in the event details (e.g., date, time, location), then the user should receive a notification of the change through their preferred notification method.

Notification for Collaborations with Other Breweries.

Given that a user has expressed interest in collaborations with local breweries, when a collaborative event is planned, then the user should receive a notification detailing the collaboration event through their selected notification method.

Unsubscribing from Notifications.

Given that the user has chosen to unsubscribe from notifications, when they navigate to the notification settings and select the unsubscribe option, then they should no longer receive any notifications related to local events.

Viewing Notification History.

Given that the user has received multiple notifications, when they access the notification history section in the app, then they should see a list of all past notifications with timestamps and event details.

Event Promotion Management

User Story: As a brewery marketing specialist, I want to create and manage promotional campaigns for our events easily so that we can maximize our reach and attendance at local craft beer festivities.
Description: The event promotion management feature will enable breweries to create and manage promotional campaigns for the events they participate in directly from the Foamly platform. This includes creating promotional content, scheduling posts on social media, and tracking the success of these promotions. By simplifying the promotional process, this requirement will help breweries increase visibility for their events and attract more attendees. The integration with social media channels and analytics will ensure that breweries can assess their promotional strategies' effectiveness and make data-driven adjustments.
Acceptance Criteria: User creates a new event promotion for an upcoming craft beer festival using the Foamly platform.

Given I am a logged-in user of the Foamly platform, when I select 'Create New Event Promotion', enter the event details (name, date, location, and description), and click 'Save', then the system should save the event promotion and display a confirmation message.

User schedules social media posts for the newly created event promotion.

Given I have an event promotion created, when I navigate to the 'Social Media Scheduling' section, select the event promotion, set the schedule for the posts to be published on Facebook and Instagram, and click 'Schedule', then the posts should be scheduled for the selected times and a confirmation should be displayed.

User tracks the success of the event promotion through analytics provided by Foamly.

Given I have created and scheduled an event promotion, when I view the analytics dashboard, I should see metrics including total reach, engagement rates, and RSVP counts for the event promotion, updated in real-time with data about social media performance.

User edits an existing event promotion to update the event details.

Given I am viewing an existing event promotion, when I click 'Edit', make changes to the event details, and click 'Save', then the system should update the event promotion with the new details and display a success message.

User deletes an unwanted event promotion from the Foamly platform.

Given I am viewing my list of event promotions, when I select an event promotion and click 'Delete', confirm the action, then the system should remove the event promotion from the list and display a confirmation message.

User receives notifications for upcoming events they are promoting.

Given I have active event promotions underway, when a reminder is set for 3 days before the event, I should receive a push notification reminding me about the upcoming event promotion.

User shares an event promotion to multiple social media platforms simultaneously.

Given I have an event promotion ready to be shared, when I select the platforms (Facebook, Twitter, Instagram) and click 'Share', then the event promotion should be posted across all selected platforms, and confirmations for each post should be displayed.

Community Feedback Forum

A dedicated space for brewers and suppliers to share experiences, give recommendations, and provide feedback on local sourcing practices. This feature fosters an open dialogue within the craft community, allowing users to learn from each other and improve their sourcing strategies based on collective insights.

Requirements

User Registration and Authentication

User Story: As a brewer, I want to register and securely log in to the Community Feedback Forum so that I can share my experiences and receive recommendations from others in the craft community.
Description: This requirement involves creating a seamless user registration and authentication process for users of the Community Feedback Forum. It should allow brewers and suppliers to create accounts using their email or social media profiles, ensuring secure access to the forum. Additionally, password recovery options must be implemented to enhance user security and convenience. This integration will foster an environment where users feel safe sharing feedback and experiences, thereby strengthening community engagement and trust.
Acceptance Criteria: User Registration via Email

Given the user is on the registration page, when they enter a valid email and password and submit the form, then a new account should be created, and the user should receive a confirmation email.

User Registration via Social Media

Given the user is on the registration page, when they choose to register via a social media platform and successfully authenticate, then their account should be created using their social media profile information.

Password Recovery Process

Given the user has forgotten their password, when they click the 'Forgot Password' link, enter their registered email and submit, then they should receive a password recovery email with a link to reset their password.

User Login with Correct Credentials

Given the user is on the login page, when they enter their registered email and correct password, then they should be redirected to the Community Feedback Forum dashboard after successful authentication.

User Login with Incorrect Credentials

Given the user is on the login page, when they enter their registered email and incorrect password, then they should see an error message indicating that the login attempt was unsuccessful.

Session Management for Authenticated Users

Given the user has successfully logged in, when they navigate the Community Feedback Forum, then their session should remain active until they log out or the session expires after 30 minutes of inactivity.

User Account Deactivation Process

Given the user wants to deactivate their account, when they navigate to the account settings and confirm account deactivation, then their account should be deactivated and they should receive a confirmation email.

Feedback Submission System

User Story: As a supplier, I want to submit my feedback about local sourcing practices so that other users can learn from my experiences and improve their strategies.
Description: This requirement focuses on developing a user-friendly feedback submission system within the Community Feedback Forum. Users should be able to post their experiences, suggestions, and comments about local sourcing practices easily. The system must include features such as text formatting options, tagging for categorizing feedback, and an option to attach images. This capability is crucial for increasing user interaction and ensuring that shared experiences are well-captured and easily navigable.
Acceptance Criteria: User submits feedback about local sourcing practices

Given a logged-in user, when they access the feedback submission system, then they should be able to enter text, format it using provided options, and submit the feedback successfully.

User uses tagging feature in feedback submission

Given a user is submitting feedback, when they select tags from a predefined list, then the tags should be correctly applied to their feedback and displayed upon submission.

User attaches an image to feedback

Given a user is submitting feedback, when they choose to attach an image, then the image should upload successfully and be displayed alongside their feedback after submission, with a maximum file size limit enforced.

User edits submitted feedback

Given a user has submitted feedback, when they navigate to their feedback and select the edit option, then they should be able to modify the content, tags, and attached images before saving the changes.

User views feedback from the community

Given a user is on the Community Feedback Forum, when they select a feedback post, then they should see the complete feedback including the text, tags, and any attached images, as well as responses from other users.

User searches for feedback by tags

Given a user is on the Community Feedback Forum, when they enter a specific tag into the search bar, then they should see a list of all feedback submissions associated with that tag.

User receives confirmation after feedback submission

Given a user has submitted feedback, when the submission is successful, then they should receive a notification confirming their feedback has been submitted and providing a summary of the submission.

Search and Filter Functionality

User Story: As a brewer, I want to search for feedback related to specific sourcing practices so that I can find relevant information that may help improve my operations.
Description: This requirement entails the implementation of advanced search and filter functionality within the Community Feedback Forum. Users should be able to search through feedback posts using keywords, dates, and categories, as well as apply filters to view feedback based on specific criteria (e.g., highest rated, most recent). This feature is essential for helping users quickly find relevant information and insights, thus enhancing the overall user experience on the platform.
Acceptance Criteria: User searches for feedback posts about sourcing local barley within the Community Feedback Forum.

Given a user is on the Community Feedback Forum, when they enter 'local barley' into the search bar and hit 'Enter', then they should see a list of feedback posts related to local barley.

A user wants to filter feedback posts to find the highest-rated sourcing recommendations.

Given a user is on the Community Feedback Forum, when they select the filter for 'Highest Rated', then they should see the feedback posts ranked by rating in descending order.

A user looks for feedback posts that were added in the last month regarding sourcing practices.

Given a user is on the Community Feedback Forum, when they apply the date filter for the last month, then they should see only the feedback posts submitted within that timeframe.

A user searches for feedback posts using specific keywords that yielded no results previously.

Given a user is on the Community Feedback Forum, when they search for the keyword 'organic hops', then they should receive a message indicating 'No posts found' if there are no matching feedback posts.

A user wants to view feedback posts filtered by the category 'Suppliers'.

Given a user is on the Community Feedback Forum, when they select 'Suppliers' from the category filter and apply, then only feedback posts under the 'Suppliers' category should be displayed.

A user intends to clear all current search inputs and view all feedback posts again.

Given a user is on the Community Feedback Forum, when they click the 'Clear Search' button, then all previous search inputs should be reset, and all feedback posts should be visible.

A user tries to apply multiple filters (date and category) simultaneously in the feedback forum.

Given a user is on the Community Feedback Forum, when they select both the 'Most Recent' date filter and the 'Ingredients' category filter, then the system should return feedback posts that meet both criteria.

User Rating and Reactions System

User Story: As a user, I want to rate feedback posts so that I can express my agreement or disagreement and highlight the most helpful contributions for others to see.
Description: This requirement involves creating a user rating and reactions system that allows users to rate feedback posts and leave reactions, such as thumbs up or down. This functionality encourages interaction and provides valuable insights into which contributions are most helpful to the community. It will also enhance engagement, motivating users to contribute quality feedback and recommendations based on community standards.
Acceptance Criteria: User rates a feedback post after reading through the content and determining its helpfulness.

Given a feedback post, when the user clicks on the rating options, then the system should register the rating and update the post's average rating accordingly.

User leaves a reaction on a feedback post to express agreement or disagreement with the content.

Given a feedback post, when the user selects a thumbs up or thumbs down reaction, then the reaction count should increment or decrement respectively, reflecting the user's engagement.

Users can view the aggregate ratings and reactions for all feedback posts within the forum.

Given the Community Feedback Forum, when a user navigates to a feedback post, then they should see the total number of ratings and the breakdown of reactions (thumbs up and thumbs down) for that post.

Users receive a notification if their feedback post receives a new rating or reaction from another user.

Given a user has posted feedback, when another user rates or reacts to the post, then the original poster should receive a notification indicating the new interaction.

A user attempts to submit a rating or reaction after already interacting with the same post.

Given a user has already rated or reacted to a feedback post, when they attempt to submit a second rating or reaction, then the system should prevent the submission and notify the user that they can only rate/react once per post.

Admin can view a summary of ratings and reactions for all feedback posts.

Given the admin dashboard, when the admin selects the Community Feedback Forum metrics, then they should see a summary of total ratings and reactions across all posts to monitor community engagement.

Notifications and Updates

User Story: As a user, I want to receive notifications about new comments on my feedback posts so that I can engage in discussions and keep the conversation going.
Description: This requirement revolves around implementing a notifications system to keep users informed about new feedback posts, responses to their submissions, and engagement with their content. Users should receive notifications through email and the app to ensure they stay up-to-date with community interactions. This feature is vital for maintaining user engagement and ensuring that users actively participate in the forum.
Acceptance Criteria: User receives an email notification for a new feedback post in the Community Feedback Forum that aligns with their interests.

Given that a user has specified their interests in their profile, When a new feedback post related to those interests is published, Then the user should receive an email notification within 10 minutes of the post going live.

User gets a push notification on the app when someone replies to their comment on a feedback post.

Given that a user has posted a comment on a feedback entry, When a response is made to their comment by another user, Then the user should receive a push notification on the app within 5 minutes of the reply.

Users can view a notification log within the app that summarizes recent notifications they have received.

Given that a user opens the app, When they navigate to the notifications section, Then the user should see a log of at least the last 20 notifications received, including timestamps and a brief description of each notification.

Email notifications contain a direct link to the relevant post in the Community Feedback Forum.

Given that a user receives an email notification about a new post, When they click on the link within the email, Then they should be directed to the specific post in the Community Feedback Forum.

Users can opt in or out of receiving notifications for various types of activities in the forum.

Given that a user is in their notification settings, When they change their preferences for receiving notifications about posts, comments, or replies, Then the system should save their preferences and reflect the changes immediately in their profile settings.

Notification settings are easy to access and modify within the user profile.

Given that a user navigates to their profile settings, When they select the notifications settings section, Then they should be able to view and modify all notification preferences clearly and easily without confusion.

Users receive reminders for unanswered feedback requests they have posted that have received no responses in the last 72 hours.

Given that a user has posted a question in the Community Feedback Forum, When no responses have been received within three days, Then the user should receive a follow-up reminder email to encourage them to engage with the community or re-post their query.

Sourcing Best Practices Library

An accessible library of resources, guides, and case studies focused on local sourcing best practices and sustainable brewing techniques. This feature empowers breweries to enhance their operations and build stronger relationships with suppliers by providing knowledge and inspiration tailored to their unique needs.

Requirements

Resource Categorization

User Story: As a brewery manager, I want the library to have clearly defined categories for resources so that I can quickly find the information relevant to my sourcing and brewing practices.
Description: The Resource Categorization requirement involves creating a structured framework for organizing the library's content. This framework will categorize resources into topics such as local sourcing, sustainable brewing techniques, supplier relationships, and case studies. The goal is to facilitate easy navigation and access to relevant information for users, enhancing the usability of the library. Implementation will require collaboration with subject matter experts to identify proper categories and ensure the classification is intuitive. The expected outcome is that users will be able to find information quickly and efficiently, leading to improved sourcing practices in their operations.
Acceptance Criteria: User searches the library for local sourcing guidelines.

Given the user is on the resource library page, when they enter 'local sourcing' in the search bar, then they should see a list of resources categorized under 'local sourcing' and the search results should include at least 5 resources.

User navigates to the sustainable brewing techniques section.

Given the user is viewing the library, when they click on the 'Sustainable Brewing Techniques' category, then they should be directed to a page displaying only resources related to sustainable brewing with a clear and defined structure.

A user explores supplier relationship resources.

Given the user is on the resource library page, when they select the 'Supplier Relationships' category, then they should see at least 3 case studies and 5 guides listed on that page, indicating a well-categorized structure.

A user provides feedback on the categorization of resources.

Given the user has accessed a resource in the library, when they submit feedback on its categorization using a feedback form, then the system should record the feedback and respond with a confirmation message that the feedback was received.

Users with different roles access the library.

Given the system accommodates users with various access levels, when a user with 'Brewer' role logs in, then they should see resources categorized differently than a user with 'Supplier' role, ensuring role-specific visibility.

User finds case studies related to brewing practices.

Given the user is browsing the library, when they filter for 'Case Studies', then they should see at least 10 relevant case studies displayed, demonstrating the effectiveness of resource categorization for this content type.

Search Functionality

User Story: As a brewer, I want to be able to search for specific topics or keywords within the library so that I can find precise information quickly.
Description: The Search Functionality requirement entails integrating a powerful search engine into the Sourcing Best Practices Library that allows users to search for resources using keywords, tags, and filters. The search feature must return relevant results swiftly, highlighting the most pertinent resources based on user queries. This functionality will significantly enhance the overall user experience, allowing users to access targeted information that meets their needs. Implementation will involve selecting a suitable search framework and indexing library content for optimal performance. The expected outcome is an easy-to-use search tool that accelerates user access to valuable content.
Acceptance Criteria: User searches for resources on local sourcing techniques within the Sourcing Best Practices Library.

Given that the user is on the Sourcing Best Practices Library page, when they enter a keyword related to local sourcing in the search bar and submit the query, then the search results should display relevant resources that match the keyword within 2 seconds.

User applies multiple filters to refine search results in the Sourcing Best Practices Library.

Given that the user has entered a keyword and selected one or more filters (e.g., category, date, sustainability level), when the user clicks on the search button, then the search results should only display resources that match the keyword and selected filters, ensuring results are relevant.

User utilizes tags to enhance search results in the Sourcing Best Practices Library.

Given that the user is viewing a particular resource, when they click on a tag associated with that resource, then they should be taken to a new search results page that displays all resources tagged with the same tag, with results loading within 3 seconds.

User performs a search that returns no results in the Sourcing Best Practices Library.

Given that the user has entered a unique keyword that does not match any resources in the library, when they submit the search, then the system should display a message indicating that no resources were found and suggest alternative keywords or tags related to their query.

User seeks assistance via help documentation related to the search functionality.

Given that the user is on the search results page, when they click on the 'Help' link for search usage, then they should be directed to a help section that provides clear instructions on using the search bar, filters, and tags effectively.

User evaluates the performance of search results based on relevance.

Given that the user has conducted a search with multiple keywords, when the results are displayed, then at least 80% of the top five results must be directly relevant to the keywords used, as determined by user feedback during usability testing.

User Feedback Mechanism

User Story: As a library user, I want to provide feedback on the resources I use so that I can contribute to enhancing the quality and relevance of the library content.
Description: The User Feedback Mechanism requirement focuses on the integration of a system that allows users to submit feedback on library resources, including their usefulness, clarity, and relevance. This mechanism will include rating systems, comment sections, and surveys following resource reviews. The purpose is to engage users in the development and refinement of library content, ensuring it remains valuable and relevant. Implementing this feature will require a user-friendly interface for feedback submission and a backend system to collect and analyze this feedback. The expected outcome is a continuously improving library informed by real user insights.
Acceptance Criteria: User submits feedback on a resource in the Sourcing Best Practices Library after reviewing it.

Given the user has accessed a resource in the library, When they submit a feedback form including a rating and comments, Then the feedback is saved and associated with the correct resource in the database.

A brewer reviews the feedback provided by other users on a specific library resource.

Given multiple users have submitted feedback on a resource, When the brewer views the feedback section of that resource, Then they should see an aggregated rating and a list of comments from other users.

The system sends a satisfaction survey to users who have submitted feedback.

Given a user submits feedback, When the feedback is submitted, Then a satisfaction survey should be automatically sent to that user within 24 hours.

The admin analyzes feedback received on library resources over a specified period.

Given the admin accesses the feedback dashboard, When they select a date range, Then the dashboard displays aggregated feedback metrics, including average ratings and the number of comments received for each resource.

A user encounters an error while submitting feedback and receives a notification.

Given the user tries to submit feedback but the system encounters an error, When the error occurs, Then the user should receive an error notification with guidance on how to resolve the issue or resubmit their feedback.

Users can filter and search for resources based on specific sourcing practices or topics.

Given users access the library, When they apply filters or use the search functionality, Then the system should display results that match the selected criteria, including relevant resources and their associated feedback scores.

Resource Highlighting

User Story: As a brewery owner, I want to see highlighted resources in the library so that I can quickly discover valuable content that can improve my operations.
Description: The Resource Highlighting requirement involves developing a feature that showcases new, popular, or recommended resources within the library. This feature should utilize algorithms or user-driven selections to highlight resources that are particularly beneficial to users. The aim is to guide users toward valuable content they may not have discovered otherwise, thereby increasing engagement and utilization of the library. Implementation involves determining the criteria for highlighting resources and designing an appealing interface to present these highlights. The expected outcome is that users will discover and utilize resources that enhance their sourcing practices more effectively.
Acceptance Criteria: User Accessing the Resource Highlighting Feature

Given a user is logged into the Foamly platform, when they navigate to the Sourcing Best Practices Library, then they should see a section labeled 'Highlighted Resources' displaying the top 5 most popular resources based on user engagement.

User Interacting with Highlighted Resources

Given a user views the 'Highlighted Resources' section, when they click on a resource, then they should be taken to the detailed resource page, and the resource should open without errors.

Admin Updating Highlighted Resources

Given an admin user has access to resource management, when they add a new resource to the library and mark it as highlighted, then it should automatically appear in the 'Highlighted Resources' section within 5 minutes.

User Finding Relevant Resources through Filters

Given a user is on the Sourcing Best Practices Library page, when they apply filters for categories related to local sourcing, then the highlighted resources should reflect those filtered categories appropriately.

User Feedback on Highlighted Resources

Given a user has interacted with a highlighted resource, when they provide feedback on its usefulness via a rating system, then the feedback should be stored successfully and reflected in future highlighting algorithms.

Analytics on Highlighted Resource Engagement

Given the analytics dashboard is implemented, when an admin reviews the engagement data for highlighted resources, then they should see metrics such as clicks, average time spent, and user ratings per resource updated in real time.

User Analytics Tracking for Highlighted Resource Usage

Given a user profile is active, when a user clicks on a highlighted resource, then that interaction should be logged in the user's activity history for personalized recommendations in the future.

Mobile Accessibility

User Story: As a brewer on the go, I want to access the library on my mobile device so that I can read resources and improve my practices, even when I’m away from the brewery.
Description: The Mobile Accessibility requirement aims to ensure that the Sourcing Best Practices Library is fully optimized for mobile devices, allowing users to access resources from anywhere, at any time. This will involve responsive design practices and possibly a dedicated mobile application that maintains all functionalities available on desktop platforms. The significance of this feature lies in its ability to facilitate learning and resource utilization during on-site brewing operations or when brewers are away from their primary workstations. The expected outcome is a seamless user experience across different devices, significantly enhancing user engagement and accessibility.
Acceptance Criteria: Mobile User Accessing the Sourcing Best Practices Library while Brewing on-site

Given the user is on a mobile device, When they navigate to the Sourcing Best Practices Library, Then all content should display correctly and be fully accessible without any layout issues.

User Searching for Local Sourcing Practices on Mobile

Given the user is using the search feature on mobile, When they input a keyword related to local sourcing practices, Then relevant search results should return within 3 seconds.

Navigating Categories in the Mobile Library

Given the user is browsing the Sourcing Best Practices Library on a mobile device, When they select a category (e.g., sustainable brewing techniques), Then the system should redirect them to a page displaying all resources within that category in a user-friendly format.

Downloading Resources via Mobile Device

Given the user selects a downloadable resource in the library using a mobile device, When they click the download button, Then the resource should start downloading within 5 seconds without errors.

User Engaging with Interactive Content on Mobile

Given the user is viewing an interactive guide on mobile, When they interact with the content (e.g., tapping on hotspots), Then feedback should be immediate, and the user should receive clear visual indications of their interactions.

User Accessing the Library Offline after Initial Download

Given the user has downloaded resources for offline access, When they are not connected to the internet, Then they should still be able to access and view the downloaded resources without any issues.

Mobile App Integration with Desktop Library

Given the user accesses the Sourcing Best Practices Library on both mobile and desktop, When they bookmark an article on mobile, Then the bookmark should also appear when they log in on the desktop application.

Supplier Rating System

A user-driven rating and review system for suppliers within the Craft Community Hub. This feature allows breweries to rate their experiences with local suppliers, helping others make informed decisions based on real feedback while promoting transparency and accountability within the community.

Requirements

Supplier Review Submission

User Story: As a brewery owner, I want to submit reviews and ratings for suppliers I have used so that other breweries can benefit from my experiences and make informed choices when selecting suppliers.
Description: The Supplier Review Submission requirement enables brewery users to submit ratings and written reviews for suppliers within the Craft Community Hub. This functionality is crucial for capturing user feedback and will include fields for star ratings, textual reviews, the ability to upload images, and tagging supplier attributes. The system should ensure that submitted reviews are linked to the correct suppliers, fostering a transparent exchange of information that can guide decision-making for other breweries in their supplier selection process. The reviews should be moderated to prevent abuse and maintain quality, contributing to a trustworthy community-driven resource.
Acceptance Criteria: Brewery user submits a supplier review including rating, text, and image.

Given a registered brewery user, when they visit the supplier profile, then they should see an option to submit a review that includes star ratings (1 to 5), a text input for their review, and an option to upload images.

Validation of submitted reviews for accuracy and relevance.

Given a brewery user submits a review, when the review is submitted, then it should trigger validation that checks for the presence of a rating, text length (minimum of 10 characters), and an optional image upload for completion.

Linking submitted reviews to the correct suppliers.

Given a submitted review, when the review is processed, then it should be accurately linked to the corresponding supplier's profile for display in the Craft Community Hub.

Moderation process for submitted reviews to ensure quality and compliance.

Given a submitted review, when it is received, then it should enter a moderation queue where it will be assessed for inappropriate content and compliance before being published.

User feedback visibility for suppliers within the Craft Community Hub.

Given approved reviews, when a brewery user views a supplier's profile, then they should see an aggregated display of ratings and reviews from the community, including the most recent ones on top.

Ability for users to report inappropriate reviews.

Given a displayed review, when a brewery user finds it inappropriate, then they should have an option to report the review, which will then trigger a moderation review process.

Supplier Rating Display

User Story: As a brewery employee, I want to easily view and filter supplier ratings and reviews so that I can quickly determine which suppliers are highly recommended based on past experiences.
Description: The Supplier Rating Display requirement involves creating an interface where users can view supplier ratings and reviews aggregated in a user-friendly format. This feature must showcase average ratings, number of reviews, and highlight recent reviews prominently on supplier profiles. The ratings should be visually represented using star icons, and filtering options must be implemented for users to view suppliers based on specific criteria such as rating, distance, or type of service. This will facilitate an easier and more informed decision-making process for breweries engaging with potential suppliers.
Acceptance Criteria: User navigates to a supplier profile to assess their reliability and quality based on community feedback.

Given a brewery user is on the supplier profile page, When the page loads, Then the average rating should be displayed prominently using star icons along with the number of reviews.

A user wants to see the most recent feedback on a particular supplier to gauge current performance.

Given a brewery user is on a supplier profile page, When they view recent reviews, Then the three most recent reviews should be displayed at the top of the reviews section, showing both the rating and review text.

Users need to filter suppliers to find those that meet specific rating criteria for a quick decision.

Given a user is on the supplier rating display page, When they apply a filter for suppliers with a rating of 4 stars or above, Then only suppliers meeting that rating should be displayed in the results list.

A user wants to compare suppliers based on distance and services offered for better selection.

Given a user is on the supplier rating display page, When they select filters for distance and type of service, Then the displayed suppliers should match the selected criteria, sorted by distance.

A user reviews a supplier after their purchasing experience to share feedback with the community.

Given a user has completed a transaction with a supplier, When they submit a new review, Then the review should be added to the supplier profile and update the average rating accordingly.

Users accessing the supplier rating feature must have an intuitive experience while navigating between ratings and supplier profiles.

Given a user is on the supplier rating display, When selecting a supplier profile link, Then the user should be taken directly to the respective supplier profile page with all relevant information populated.

Review Moderation System

User Story: As a community moderator, I want to review submitted supplier ratings and comments so that I can ensure all published content is appropriate and trustworthy for other users.
Description: The Review Moderation System is essential to ensure that all submitted reviews meet community standards and are appropriate for publication. This requirement includes establishing a moderation workflow where reviews can be flagged, reviewed, and approved or denied by designated moderators. This system will help maintain the quality and reliability of the reviews while allowing users to report inappropriate content. The implementation of this feature will enhance user confidence in the integrity of the ratings and reviews while fostering a sense of accountability among users.
Acceptance Criteria: As a community moderator, I want to review flagged supplier reviews to determine if they meet community standards for appropriate content.

Given a review has been flagged for moderation, when the moderator accesses the moderation dashboard, then the flagged review should be visible with options to approve, deny, or add comments for further review.

As a brewery owner, I want to submit a review that complies with community standards so that it can be published on the platform.

Given that the brewery owner submits a review, when the review meets the character limit and does not contain prohibited content, then the review should be sent for moderation without errors.

As a user reports an inappropriate review, I want to ensure that my report triggers the moderation process to maintain community integrity.

Given a user selects the 'report' option on a review, when the report is submitted, then an acknowledgment message should confirm that the moderation team has been alerted and the review is flagged for further action.

As a moderator, I want to be able to view the history of actions taken on a moderated review to maintain transparency and make informed decisions.

Given a moderator is reviewing a flagged review, when they check the review history, then the history should display all past moderation actions, including timestamps and moderator comments.

As a user, I want to be notified if my review has been denied, so I understand why my feedback is not published.

Given that a user's review has been moderated and denied, when the user checks their submission status, then they should receive a notification with reasons for the denial and suggestions for resubmission.

As a moderator, I want to be able to approve or deny reviews quickly to ensure timely publication of valid feedback.

Given that a moderator is reviewing submissions, when they select to approve or deny a review, then the action should be processed in real-time and the review's status updated accordingly in the system.

As a developer, I want to implement an automated flagging system for reviews that contain certain keywords so that inappropriate content is screened more effectively.

Given that a review is submitted, when the review contains flagged keywords, then the system should automatically mark the review for moderation and notify the moderation team.

Supplier Performance Analytics Dashboard

User Story: As a brewery operations manager, I want to access performance analytics for suppliers provided by the community so that I can make data-driven decisions when sourcing ingredients and services.
Description: The Supplier Performance Analytics Dashboard requirement involves the creation of a dashboard for breweries to analyze supplier performance based on user ratings and reviews over time. This feature will provide insights into supplier reliability, quality of service, and trends in customer satisfaction. The dashboard should present data visually through graphs and charts, allowing users to filter results by time periods and specific criteria. These analytics will empower breweries to make informed decisions regarding supplier partnerships and drive improvements in their procurement strategies.
Acceptance Criteria: Supplier Performance Analytics Dashboard Displays Overall Supplier Ratings

Given the user is logged into Foamly, when they access the Supplier Performance Analytics Dashboard, then the dashboard should display overall supplier ratings based on user reviews with an average rating metric visible.

Filters for Time Periods in Analytics Dashboard

Given the user is viewing the Supplier Performance Analytics Dashboard, when they apply filters for specific time periods (e.g., last month, last quarter), then the displayed data should refresh to show supplier performance specifically during the selected timeframe.

Graphical Representation of Supplier Performance Trends

Given the user is utilizing the Supplier Performance Analytics Dashboard, when they select a specific supplier, then the dashboard should present a graphic representation (line graph or bar chart) of that supplier’s performance trends over time based on ratings.

Detailed Supplier Review Access from Dashboard

Given the user is on the Supplier Performance Analytics Dashboard, when they click on a specific supplier's name, then they should be redirected to a detailed view that shows individual user reviews and ratings for that supplier.

Alerts for Declining Supplier Ratings

Given the user has access to the Supplier Performance Analytics Dashboard, when the average rating of a supplier falls below a set threshold (e.g., 3 stars), then the dashboard should highlight that supplier with an alert indicator.

Comparative Analysis Between Suppliers

Given the user is on the Supplier Performance Analytics Dashboard, when they select multiple suppliers for comparison, then the dashboard should display a comparative analysis of ratings and reviews side by side.

Notification System for New Reviews

User Story: As a frequent user of supplier ratings, I want to be notified about new reviews so that I can stay updated on the latest experiences and ratings for suppliers I use.
Description: The Notification System for New Reviews requirement allows users to receive alerts whenever a new review is posted for a supplier they follow or have previously used. This could include email notifications or in-app alerts, providing timely information to users about changes in supplier ratings and recent user experiences. This feature will enhance user engagement with the Supplier Rating System and encourage breweries to continuously check updates from their community, thereby fostering an active and informed user base.
Acceptance Criteria: Receiving Notifications for New Reviews on Followed Suppliers

Given a user has followed a supplier, when a new review is posted for that supplier, then the user should receive a notification via email and/or in-app alert within 15 minutes of the review being posted.

User Preference Settings for Notifications

Given a user accesses their account settings, when they adjust their preferences for notifications, then the system should save their changes and send a confirmation message to the user indicating the successful update of their notification preferences.

Viewing the Notification History

Given a user clicks on the notifications tab, when they view their notification history, then the system should display a list of all notifications related to new reviews for suppliers they follow, including timestamps and review details.

Disabling Notifications for a Specific Supplier

Given a user has followed a supplier, when they choose to disable notifications for that specific supplier, then no further notifications should be sent to the user about new reviews for that supplier after confirmation of the action.

Responding to Notifications

Given a user receives a notification about a new review, when they click on the notification, then the application should direct them to the specific review page of the supplier without any errors or delays.

Notifications for Multiple Suppliers

Given a user follows multiple suppliers, when a new review is posted for any of those suppliers, then the user should receive individual notifications for each new review, ensuring all relevant information is presented in a single notification message.

Testing Notification Delivery Under High Load

Given the system is under high load, when multiple reviews are posted in a short timeframe, then all notifications for those reviews should still be delivered to the users without delays or failures, ensuring system reliability.

Real-Time Metric Visualization

This feature offers dynamic, real-time visualizations of quality control metrics, allowing Quality Control Specialists to monitor critical parameters such as fermentation temperature, pH levels, and carbonation throughout the brewing process. By enabling immediate access to these key indicators, brewers can swiftly identify and address any deviations from quality standards, thereby enhancing product consistency and reducing the likelihood of defects.

Requirements

Dynamic Data Refresh

User Story: As a Quality Control Specialist, I want to see real-time updates of quality metrics so that I can quickly respond to any deviations and ensure consistent product quality.
Description: The Real-Time Metric Visualization feature must include a dynamic data refresh capability that updates visualized metrics in intervals not exceeding 5 seconds. This ensures that Quality Control Specialists can immediately see changes in critical parameters such as fermentation temperature and pH levels as they occur, enabling swift actions to maintain product quality and consistency. This feature is crucial for real-time decision making, reducing potential delays caused by out-of-date information. Additionally, the integration should seamlessly connect with existing data streams from monitoring equipment to eliminate manual data entry and enhance efficiency.
Acceptance Criteria: Quality Control Specialist uses the Real-Time Metric Visualization feature during a brewing batch to monitor fermentation temperature and pH levels.

Given the Real-Time Metric Visualization is active, When the Quality Control Specialist starts monitoring, Then critical metrics must refresh automatically every 5 seconds or less.

Quality Control Specialist needs to see real-time updates of carbonation levels during the final stages of brewing.

Given the connection to monitoring equipment is established, When carbonation level changes, Then the displayed carbonation metric must update within 5 seconds.

A Quality Control Specialist reviews previous data trends while ensuring that real-time data is accurate.

Given the historical data is displayed alongside real-time metrics, When the Specialist accesses the real-time dashboard, Then the historical data must not cause any latency in refreshing the real-time metrics.

Quality Control Specialist addresses an out-of-specification condition during fermentation.

Given a deviation occurs in fermentation temperature or pH levels, When the metric displays the deviation, Then an alert must be generated within 5 seconds prompting immediate action.

Quality Control Specialist needs to verify that the interface remains responsive during high data refresh rates.

Given the Real-Time Metric Visualization is in use, When metrics are refreshed every 5 seconds, Then the user interface must remain responsive without lag or delay.

Quality Control Specialist integrates additional monitoring equipment to the system.

Given new monitoring equipment is added, When the Quality Control Specialist activates it, Then the system must recognize the new data sources and start refreshing metrics in real-time without manual intervention.

Quality Control Specialist evaluates the impact of dynamic refresh on workflow efficiency.

Given the dynamic refresh feature is implemented, When the Specialist measures the time taken to make quality control decisions with and without the feature, Then the decision-making time must decrease by at least 20% with the feature enabled.

Custom Alert System

User Story: As a Quality Control Specialist, I want to set custom alerts for key quality metrics so that I can be notified immediately if any parameter goes out of the acceptable range, allowing me to take quick action to rectify issues.
Description: The system must incorporate a customizable alert feature that allows Quality Control Specialists to set thresholds for critical parameters like fermentation temperature, carbonation levels, and pH balance. When these thresholds are exceeded, notifications should be sent through multiple channels such as email and in-app alerts. This ensures brewers are immediately informed of any quality issues, allowing them to take proactive measures before defects can occur. This requirement enhances the reliability of the production process and integrates well with existing operational workflows, ensuring alerts are timely and relevant.
Acceptance Criteria: Custom Alert System for Fermentation Temperature Exceedance

Given a fermentation temperature threshold set to 70°F, when the temperature exceeds this threshold, then an email notification and an in-app alert should be triggered and received by the Quality Control Specialist.

Custom Alert System for pH Level Deviation

Given a pH level threshold set to 4.5, when the pH level falls below this threshold, then a notification should be sent via SMS and displayed in the app dashboard to the Quality Control Specialist.

Custom Alert System for Carbonation Levels Monitoring

Given a carbonation level threshold set to 2.5 volumes of CO2, when the level rises above this threshold, then both an email alert and a push notification should be sent to ensure immediate attention from the brewing team.

Customizable Alert Preferences Setup

Given a Quality Control Specialist logged into the system, when they set their alert preferences for fermentation temperature, pH level, and carbonation, then those preferences should be saved and reflected in the alert settings overview.

Alert History and Review Functionality

Given a Quality Control Specialist, when they access the alert history, then they should be able to view all past alerts with timestamps and corresponding parameter values that triggered those alerts.

Integration of Alert System with Existing Workflow

Given the brewing team is using Foamly, when an alert is triggered, then it should not disrupt ongoing operations and can be acknowledged or snoozed through the system’s user interface directly without external interruptions.

Performance Monitoring of Alerts

Given a monitoring period of one month, when analyzing the alert system's performance, then at least 90% of alerts should be delivered successfully to the Quality Control Specialists within 5 minutes of the threshold being exceeded.

Historical Trends Analysis

User Story: As a Quality Control Specialist, I want to analyze historical trends of quality metrics so that I can identify patterns and optimize our brewing processes to enhance product quality.
Description: Develop a feature that visualizes historical trends of key quality metrics over time, allowing users to easily analyze data patterns and identify potential areas for improvement. The visualization should support various time frames (daily, weekly, monthly) and provide contextual insights, such as correlations between production changes and quality outcomes. This capability will enable brewers to make data-driven decisions that enhance brewing processes, helping to pre-empt quality issues before they arise.
Acceptance Criteria: Quality Control Specialists analyzing historical metrics during a weekly review meeting to assess the impact of recent production changes on beer quality.

Given that the user selects a time frame of 'weekly', When the historical trends are displayed, Then the visualization should accurately reflect the quality metrics for the past week, including fermentation temperature, pH levels, and carbonation with clear data points and trends.

A brewer noticing unexpected changes in fermentation quality seeking to analyze past metrics to understand potential influences.

Given that the user selects a time frame of 'monthly', When they view the historical trends, Then the visual representation should allow for comparisons against multiple quality metrics over the chosen month.

Quality Control Specialist preparing a report showing correlation between production changes and quality metrics over time for stakeholders.

Given that the user wants to present a correlation analysis, When they select multiple quality indicators for comparison, Then the system should provide a combined visualization indicating trends and correlations, labeled with respective metrics for clarity.

A brewer wanting to identify seasonal patterns in brewing quality by analyzing metrics over several months.

Given that the user accesses the historical trends feature, When they select a 'monthly' view option over the past year, Then the visualization should display seasonal changes in quality metrics with appropriate legends and annotations.

Quality Control Specialists needing to quickly identify outlier situations that require immediate attention based on historical quality trends.

Given that the user has opened the historical trends analysis, When they hover over specific data points, Then tooltips should display detailed metric values and deviations from the normal range for each critical parameter.

A brewer conducting an in-depth investigation into the effects of ingredient changes on beer quality over time.

Given that the user selects a specific period to analyze historical trends post-ingredient change, When they view the visualization, Then there should be a comparative option to correlate new ingredient impacts against historical data.

A brewing team assessing overall production efficiency alongside quality control metrics for strategic planning.

Given that the user accesses the historical trends of quality metrics, When they apply a filter to visualize production efficiency metrics side-by-side with quality control metrics, Then the system should enable simultaneous visualization for effective analysis.

Trend Analysis Tools

This feature provides advanced trend analysis tools that allow users to visualize historical quality control data over various timeframes. Quality Control Specialists can easily identify patterns and correlations within the data, facilitating proactive adjustments to brewing processes. This functionality not only enhances understanding of quality metrics but also empowers users to implement data-driven improvements that increase efficiency and product quality over time.

Requirements

Data Visualization Dashboard

User Story: As a Quality Control Specialist, I want a Data Visualization Dashboard so that I can easily identify trends and correlations in quality data over time, enabling me to make informed decisions for process improvements.
Description: The Data Visualization Dashboard requirement focuses on providing an interactive and user-friendly interface where Quality Control Specialists can easily visualize historical quality control data through various graphical representations such as charts and graphs. This dashboard will allow users to filter and segment data based on timeframes, categories, or specific quality metrics, enhancing the ability to identify trends and anomalies quickly. Its seamless integration with the existing inventory management and production scheduling features of Foamly ensures a comprehensive view of operational performance, ultimately facilitating better decision-making and proactive quality improvements.
Acceptance Criteria: Quality Control Specialist accessing the Data Visualization Dashboard to review historical quality control data during a weekly team meeting to assess brewing quality and make data-driven recommendations.

Given that the user is logged into Foamly, when they navigate to the Data Visualization Dashboard, then they should see a fully interactive interface displaying various graphical representations of historical quality control data, including line charts and bar graphs, filtered by a selected timeframe.

A Quality Control Specialist filters the historical quality control data by a specific quality metric to identify patterns and trends during the brewing process.

Given that the Data Visualization Dashboard is open, when the user selects a specific quality metric filter and applies it, then the dashboard should refresh to display data relevant only to that metric with updated charts and graphs reflecting the selected filter.

Quality Control Specialist analyzes a trend in the historical quality control data to develop actionable insights for improving the brewing process.

Given that the user has selected a timeframe in the Data Visualization Dashboard, when they identify a positive or negative trend in the data charts, then they should be able to export the visualized data and any insights as a report in a PDF format.

A Quality Control Specialist assesses the impact of changes made to a brewing process on quality control data over time by reviewing historical data.

Given that there is a change to brewing processes recorded in the system, when the user compares the quality control data before and after the change on the Data Visualization Dashboard, then they should observe a clear visual representation illustrating the differences in quality metrics, allowing for easy assessment of impact.

Quality Control Specialist utilizes the Data Visualization Dashboard during production meetings to present quality metrics to the brewing team.

Given that the Data Visualization Dashboard is populated with data, when the user shares their screen in a production meeting, then all stakeholders should be able to see real-time data visualizations that are well-organized, easy to read, and informative about the current quality control status.

A Quality Control Specialist attempts to integrate the Data Visualization Dashboard with existing inventory management data to view correlations between inventory levels and quality metrics.

Given that the dashboard supports integration, when the user selects the option to include inventory data, then the dashboard should synchronize seamlessly, displaying combined visualizations that highlight correlations between inventory levels and quality metrics over selected timeframes.

Automated Trend Reporting

User Story: As a Quality Control Specialist, I want automated trend reports so that I can receive timely insights without manual data extraction, helping me to implement necessary adjustments swiftly.
Description: Automated Trend Reporting requirement involves developing a functionality that automatically generates reports on identified trends and patterns in quality control data at scheduled intervals. These reports will include key insights, visuals, and actionable recommendations based on historical data analysis, allowing Quality Control Specialists to focus on implementing improvements rather than manually compiling information. This feature will enhance operational efficiency and streamline communication among team members by providing regular updates on quality metrics, thus directly supporting the goal of reducing wastage and improving product quality.
Acceptance Criteria: Automated generation of scheduled trend reports for Quality Control Specialists at the end of each week to review the past seven days of quality control data.

Given the defined schedule for reporting, when the scheduled time is reached, then the system generates a report that includes visualizations of trends and actionable insights based on the past week's quality control data.

Quality Control Specialists receive notifications regarding completed trend reports after they are generated automatically.

Given that a report has been generated, when the report is completed, then a notification is sent to all relevant Quality Control Specialists via email and within the Foamly dashboard.

Users can customize the specific metrics and timeframes for which the automated trend reports are generated based on their unique operational needs.

Given that a user accesses the trend reporting settings, when they select the desired metrics and timeframes, then those selections are saved and reflected in the next automated report generated.

The automated reports include a summary of key insights and actionable recommendations based on analyzed data trends over the selected timeframe.

Given the generated report, when the Quality Control Specialist opens it, then they can see a summary section that outlines key insights and proposed actions to improve quality metrics.

Automated trend reports are stored in a centralized location for easy access by all team members at any time.

Given that a report has been generated, when the user navigates to the report archive section, then they can view and download all previously generated reports sorted by date and relevancy.

Quality Control Specialists can easily access historical trend reports to evaluate long-term quality metrics and trends.

Given the historical reports are available, when a user searches for or filters reports by date range, then they can retrieve and view all relevant reports that match the criteria.

Customization of Quality Metrics

User Story: As a Quality Control Specialist, I want to customize the quality metrics I analyze so that I can focus on the most relevant data specific to my brewing operations and improve our quality control processes accordingly.
Description: The Customization of Quality Metrics requirement will enable users to define and customize the quality metrics most relevant to their specific brewing processes. This customization will allow Quality Control Specialists to tailor the analysis tools to their unique needs by selecting which metrics to visualize and monitor closely. This flexibility is crucial for adapting the trend analysis to different brewing styles or seasonal variations, thus empowering users to gain deeper insights and more effectively address quality issues as they arise. Integration with existing tools will ensure a seamless user experience and maximum functionality.
Acceptance Criteria: Customization of Quality Metrics by Quality Control Specialists during a brewing process evaluation.

Given a logged-in Quality Control Specialist, when they access the trend analysis tool, then they should be able to select from a predefined list of quality metrics to customize their analysis view.

Applying customized quality metrics to historical data visualizations for a specific product line.

Given a selected brewing product line, when the Quality Control Specialist customizes the displayed metrics, then the system should update the visualizations to reflect only the selected metrics without any additional default metrics.

Saving customized metrics settings for future use in trend analysis reports.

Given a customized set of quality metrics, when the Quality Control Specialist saves their preferences, then these settings should be stored and available for immediate use in subsequent sessions without requiring reconfiguration.

Integrating customized quality metrics with existing quality control systems for seamless data import.

Given an existing quality control system in use, when a Quality Control Specialist configures their metrics, then the system should successfully integrate and import relevant historical data corresponding to the selected metrics.

Evaluating the effectiveness of customized metrics in identifying brewing process issues.

Given customized quality metrics applied to current brewing data, when quality issues arise, then the trend analysis tool should highlight correlations between selected metrics and identified quality issues to inform decision-making.

Correlation Analysis Feature

User Story: As a Quality Control Specialist, I want a correlation analysis feature so that I can identify and analyze relationships between different quality metrics, helping to pinpoint the causes of quality variations.
Description: The Correlation Analysis Feature requirement focuses on integrating advanced statistical tools within the trend analysis functionality, allowing users to establish correlations between different quality metrics and variables in the brewing process. This feature will empower Quality Control Specialists to understand not just what trends exist, but also to uncover possible root causes of quality issues by analyzing relational data. By providing insights into how process adjustments impact quality outcomes, users can implement data-driven improvements with confidence and accuracy. This capability will significantly enhance the decision-making process around quality control in brewing.
Acceptance Criteria: Quality Control Specialists want to analyze the correlation between fermentation temperature and alcohol content over different batches to optimize brewing conditions.

Given that the user has access to historical quality control data, when they select fermentation temperature and alcohol content metrics for correlation analysis, then the system should display a visual graph showing the correlation coefficient and trends over the selected timeframe.

A Quality Control Specialist needs to compare multiple quality metrics simultaneously to identify potential issues in the brewing process.

Given that multiple quality metrics are selected for comparison, when the user requests a correlation analysis, then the system should provide an interactive dashboard that allows the user to visualize the correlations between all selected metrics side by side.

After adjusting the brewing process based on previous quality data, a Quality Control Specialist wants to validate if the adjustments had the intended effect on product quality.

Given that the user has made adjustments to the brewing process, when they analyze the correlation between the process adjustments and the resulting quality outcomes, then the system should indicate whether the adjustments improved the quality metrics using statistical significance tests.

To train new staff on how to use the correlation analysis feature, a Quality Control Specialist needs to generate a report demonstrating how to identify trends through correlation analysis.

Given the new staff member is using the correlation analysis function, when they complete a correlation analysis and request a report, then the system should generate a comprehensive report detailing the analysis steps, findings, and recommendations for process improvements based on the correlation results.

A user compares correlation analysis results across different timeframes to evaluate seasonal impacts on beer quality.

Given the user has selected different timeframes for comparison, when they initiate a correlation analysis for these timeframes, then the system should display the relative correlation coefficients and allow for side-by-side comparison of results for easy analysis of seasonal impact.

A brewing operation manager wants to monitor the effectiveness of quality adjustments over time using historical data.

Given that the user has access to historical quality data and has made process adjustments, when they access the correlation analysis tool, then the system should display trend lines that show changes in quality metrics before and after adjustments, along with correlation coefficients to highlight relationships.

Historical Data Archiving

User Story: As a Quality Control Specialist, I want a historical data archiving system so that I can access past quality control data for trend analysis and compliance while ensuring data security.
Description: The Historical Data Archiving requirement is aimed at establishing a system to securely store and archive historical quality control data for long-term analysis and compliance purposes. This feature will ensure that all data points are preserved in a structured format, allowing for easy retrieval and analysis over extended periods. It will support compliance with industry regulations that mandate record-keeping and enable users to access past data for benchmarking and trend analysis. This archiving solution will be integrated with the existing database systems within Foamly, ensuring data integrity and security.
Acceptance Criteria: As a Quality Control Specialist, I want to access archived historical quality control data to perform a trend analysis, allowing me to identify patterns affecting beer quality.

Given the Quality Control Specialist is logged into Foamly, when they navigate to the historical data archive section, then they should be able to view a list of all archived quality control data segmented by date and data type.

As a brewery manager, I need assurance that the archived data complies with industry regulations for record-keeping, so that our brewery meets legal standards.

Given the archived data in Foamly, when an audit is conducted, then all archived records should meet industry compliance standards, with proper metadata tagging including date, type of quality control data, and original source.

As a data analyst, I want to retrieve specific archived data over a defined timeframe to conduct a comparative analysis against current metrics.

Given the data analyst is on the historical data archive page, when they specify a date range and data type, then the system should retrieve and display relevant archived records accurately within 5 seconds.

As a Quality Control Specialist, I need to ensure that the archived data is secure and cannot be modified or deleted by unauthorized users to maintain data integrity.

Given that data archiving is implemented, when unauthorized access is attempted, then the system should deny access and log the attempt for security monitoring.

As a brewery staff member, I want to have easy access to archived historical quality control data for training purposes, so that new staff can learn from past data.

Given the staff member is in the training module of Foamly, when they request access to historical data, then the system should provide a read-only view of relevant archived quality control data without allowing modifications.

As a systems administrator, I want to ensure that the archived data can be backed up regularly to prevent data loss in case of system failure.

Given the archived data storage system is implemented, when a backup procedure is initiated, then the system should successfully create a backup of all archived data within the specified time without errors.

User Training for Analysis Tools

User Story: As a Quality Control Specialist, I want comprehensive training on the new trend analysis tools so that I can confidently utilize them to improve our quality control processes.
Description: The User Training for Analysis Tools requirement emphasizes the provision of comprehensive training materials and sessions to help Quality Control Specialists effectively utilize the new trend analysis features. These resources will include tutorials, workshops, and documentation tailored to diverse learning preferences, ensuring that users gain a solid understanding of how to leverage these tools for optimal quality control. Training will be integral at the feature launch to facilitate smooth adoption and maximize the benefits of the new capabilities, ultimately leading to improved brewing quality and efficiency.
Acceptance Criteria: Comprehensive User Training Workshops for Trend Analysis Tools

Given a scheduled training session, when the Quality Control Specialists attend the workshop, then at least 90% of attendees should demonstrate understanding by completing a post-training quiz with a score of 80% or higher.

Availability of Training Materials for Trend Analysis Tools

Given the launch of the Trend Analysis Tools, when users access the training materials section, then they should find at least three different types of resources (tutorials, workshops, and documentation) that are relevant and comprehensive.

User Feedback Collection Post-Training for Trend Analysis Tools

Given the completion of user training for the Trend Analysis Tools, when Quality Control Specialists submit feedback forms, then at least 85% of respondents should indicate that the training met their needs and prepared them to use the tools effectively.

Demonstration of Trend Analysis Tools Usage in a Real-World Scenario

Given a brewing quality control scenario, when a Quality Control Specialist applies the trend analysis tools, then they should identify at least two actionable insights based on historical data to improve brewing quality.

Tracking Engagement with Training Sessions for Trend Analysis Tools

Given that training sessions are conducted, when the attendance records are reviewed, then at least 80% of the targeted Quality Control Specialists should participate in at least one training session.

Post-Implementation Support for Trend Analysis Tools Users

Given that the trend analysis tools have been launched, when users seek assistance within the first month, then at least 95% of support requests should be resolved within 24 hours.

Accessibility of Training Resources for All Learning Styles

Given the diverse learning preferences of Quality Control Specialists, when accessing training resources, then at least 70% of users should report that the materials are suitable for their preferred learning style (visual, auditory, or kinesthetic).

Batch Comparison Module

The Batch Comparison Module enables Quality Control Specialists to compare key quality metrics across multiple production batches side by side. By highlighting differences and similarities, this feature helps identify best practices and areas needing attention, making it easier to replicate successful results and rectify any ongoing issues. This thorough comparison process aids in maintaining high standards and fosters continuous improvement within brewing operations.

Requirements

Real-time Batch Metrics Comparison

User Story: As a Quality Control Specialist, I want to view key metrics of multiple production batches in real-time so that I can quickly identify any discrepancies and take corrective actions immediately.
Description: This requirement focuses on implementing a real-time monitoring feature that displays key quality metrics of selected batches simultaneously. The functionality should enable Quality Control Specialists to immediately identify variations in parameters like temperature, specific gravity, and pH levels across different production batches. This capability is critical as it allows for timely interventions and adjustments during production, leading to improved consistency in quality and standards. With real-time insights, brewers can enhance their decision-making processes and drive continuous improvement in quality control operations, thereby fostering higher product quality and customer satisfaction.
Acceptance Criteria: Real-time display of batch metrics during production process.

Given that the Quality Control Specialist selects multiple production batches, when they access the Batch Comparison Module, then they should see real-time updates of key metrics such as temperature, specific gravity, and pH levels displayed side by side for all selected batches.

Notify Quality Control Specialists of significant metric deviations.

Given that the system is monitoring multiple batches, when a key quality metric deviates from the established thresholds, then the system should send an immediate notification to the Quality Control Specialists indicating which batch and what metric has deviated.

Ability to filter and compare specific quality metrics.

Given that the Quality Control Specialist is using the Batch Comparison Module, when they apply filters to select specific quality metrics for comparison, then the system should only display those metrics in the comparison view, ensuring clarity and relevance of data.

Save historical comparisons for future reference.

Given that a Quality Control Specialist has completed a batch comparison, when they choose to save the comparison results, then the system should store the comparison data with a timestamp and allow for easy retrieval in future analytics sessions.

Export comparison results for reporting purposes.

Given that a Quality Control Specialist has completed a batch comparison, when they select the option to export results, then the system should successfully generate a report in CSV format that includes the selected metrics and batch details.

User-Friendly Historical Data Access

User Story: As a Quality Control Specialist, I want to easily access and analyze historical batch data so that I can identify trends and inform my brewing decisions based on past performance.
Description: This requirement outlines the necessity of an intuitive user interface that allows Quality Control Specialists to easily access and analyze historical batch comparison data. The feature should provide comprehensive visualizations, such as graphs and charts, enabling users to track trends over time and correlate changes in processes or ingredients with batch quality outcomes. Facilitating such easy access to historical data is essential for identifying best practices and establishing benchmarks, which is vital for maintaining high brewing standards and fostering a data-driven culture within the brewery.
Acceptance Criteria: Quality Control Specialist needs to access historical batch comparison data to analyze quality trends for a recent brewing process.

Given a logged-in Quality Control Specialist, when they navigate to the Batch Comparison Module, then they should see a user-friendly interface with options to select historical batch data for comparison within the last six months.

User wants to visualize data from historical batches to compare quality metrics like alcohol content and flavor profile.

Given a selected set of historical batches, when the Quality Control Specialist chooses the option to generate visualizations, then the system must display graphs and charts illustrating key quality metrics side by side for easy comparison.

Quality Control Specialist attempts to filter historical batch data by specific ingredients used in production.

Given the Batch Comparison Module is open, when the Quality Control Specialist applies a filter for ingredients, then the system must update the displayed data to reflect only the batches containing the selected ingredients.

User needs to export historical batch comparison data for reporting purposes to share with the production team.

Given a comparison report is generated, when the Quality Control Specialist selects the export option, then the system must provide a downloadable file in a user-friendly format such as PDF or Excel that accurately reflects the displayed data.

Quality Control Specialist is reviewing batch comparison metrics and wants to identify trends over time.

Given available historical data, when the specialist views the trend analysis section, then the system should showcase a clear timeline view of metric changes, highlighting significant spikes or trends in quality metrics over the selected time period.

User is experiencing difficulties in navigating the historical batch comparison module and needs assistance.

Given the user is on the Batch Comparison Module page, when they click on the help button, then the system must provide clear, helpful guidance or tutorials explaining how to access and use historical data features.

Automated Reporting Generation

User Story: As a Quality Control Specialist, I want automated reports generated from batch comparisons so that I can save time and ensure that important insights are communicated to my team consistently.
Description: This requirement involves the development of a feature that automatically generates detailed reports based on the results of batch comparisons. The reports should include analyses of variation, success metrics, and recommendations for future batches, and can be scheduled to be sent to relevant stakeholders. This automation is crucial as it saves time for Quality Control Specialists, ensuring that important insights are documented and shared proactively without the need for manual compilation. Such reports will drive continuous quality improvement and facilitate informed decision-making by providing stakeholders with regular updates about batch performance.
Acceptance Criteria: Automated report generation for batch comparisons is initiated by a Quality Control Specialist reviewing batches from the last production cycle at the conclusion of their shift.

Given the Quality Control Specialist has selected batches for comparison, When the automated report generation feature is triggered, Then a detailed report containing variation analysis, success metrics, and recommendations is generated without errors and saved in PDF format.

The generated report must be automatically emailed to all relevant stakeholders immediately after generation, ensuring timely dissemination of information.

Given the automated report has been successfully generated, When the report is complete, Then it is automatically emailed to all stakeholders designated in the system, ensuring they receive the report within 5 minutes of generation.

A Quality Control Specialist needs to review the content of the automatically generated report for clarity and completeness before sending it out.

Given the automated report has been generated, When the Quality Control Specialist views the report, Then they can confirm all required quality metrics and analyses are present and clearly articulated, allowing them to validate its accuracy.

Stakeholders receive alerts when a new automated report on batch comparisons is available, ensuring they are aware of new insights.

Given a new automated batch comparison report has been generated and emailed, When it is sent, Then all stakeholders receive a notification alerting them about the report's availability and key findings summarized within the email.

The reports must provide historical comparison data to help the Quality Control team to identify trends over time.

Given the automated report includes historical data, When the Quality Control Specialist reviews the report, Then they should see a comparison of at least the last three batches alongside current batch metrics to identify trends and variations.

The system tracks the success rate of report generation to ensure the feature is functioning correctly over time.

Given the automated report generation feature is in use, When reports are generated over a one-month period, Then the system logs should show a success rate of at least 95%, with issues documented for any failures.

A configurable option is needed for Quality Control Specialists to adjust parameters that affect report content based on specific needs per batch.

Given the report parameters can be adjusted, When the Quality Control Specialist uses the configuration settings, Then they must be able to customize which metrics and recommendations are included in the report prior to generation.

Customizable Comparison Criteria

User Story: As a Quality Control Specialist, I want to customize the comparison criteria for batch analyses so that I can focus on the metrics that are most relevant to my brewing process.
Description: This requirement entails the development of a customizable interface that allows Quality Control Specialists to define specific criteria for batch comparisons based on their unique brewing processes and quality metrics. The feature should enable users to select which attributes they wish to compare, such as flavor profiles, alcohol content, or fermentation times. This flexibility will empower users to tailor the comparison process to meet their specific needs and to adapt to varying production standards, ultimately enhancing the precision and relevance of quality assessments across different batches.
Acceptance Criteria: Quality Control Specialist customizes the comparison criteria for a specific batch analysis before conducting a quality review meeting, ensuring it aligns with the essential metrics needed for that session.

Given the Quality Control Specialist is on the Batch Comparison Module, When they access the customization options, Then they should be able to select from a list of attributes such as flavor profiles, alcohol content, and fermentation times to define their comparison criteria.

During the quality review meeting, the Quality Control Specialist uses the customizable comparison criteria to analyze two production batches side by side.

Given the Quality Control Specialist has selected and saved the comparison criteria, When they view the comparison results, Then the module should display the selected quality metrics for both batches in a side-by-side format, highlighting differences and similarities clearly.

After completing a batch comparison, the Quality Control Specialist needs to generate a report that encapsulates the findings based on the customized criteria selected earlier.

Given the quality comparison has been conducted using customized criteria, When the Quality Control Specialist opts to generate a report, Then the report should accurately reflect all selected attributes and their respective values for each batch, along with a summary of findings.

A Quality Control Specialist wants to modify existing comparison criteria after reviewing the results from a previous batch analysis.

Given the Quality Control Specialist is on the Batch Comparison Module, When they choose to edit the previously saved comparison criteria, Then they should be able to add, remove, or adjust attributes and save these changes for future comparisons.

Quality Control Specialists need to share the customized comparison criteria with team members in another location ahead of a comparative analysis meeting.

Given the Quality Control Specialist has customized their criteria, When they initiate a sharing action, Then the module should enable them to send the criteria via email or share a secure link with designated team members without losing the original settings.

Following the analysis, a Quality Control Specialist reviews their list of customizable criteria to ensure they are updated and relevant for future use.

Given the Quality Control Specialist accesses the customization settings, When they review the existing comparison criteria, Then the module should provide options to archive outdated criteria and suggest updates based on new brewing trends or requirements.

Alerts for Anomalies in Batch Quality

User Story: As a Quality Control Specialist, I want to receive alerts for any anomalies in batch quality so that I can address issues promptly and maintain high production standards.
Description: This requirement includes the implementation of an alert system that notifies Quality Control Specialists of any anomalous data points during batch comparisons, such as significant deviations from established quality standards. The alert system should be configurable, allowing users to set thresholds for what constitutes an anomaly based on historical data trends. This feature is vital for proactive quality management, enabling brewers to address issues before they impact production quality, ensuring consistent product excellence and compliance with industry standards.
Acceptance Criteria: Quality Control Specialist receives an alert for a significant deviation in quality metrics during a batch comparison evaluation.

Given a configured anomaly threshold, when a quality metric exceeds the threshold during batch comparison, then an alert is triggered and sent to the Quality Control Specialist.

A Quality Control Specialist reviews the alert settings to adjust anomaly detection thresholds based on historical data.

Given access to the alert settings, when a Quality Control Specialist modifies the anomaly thresholds and saves the changes, then the system should reflect the updated thresholds and apply them to future comparisons.

Multiple alerts are generated for a batch comparison indicating several quality metrics are deviating from the set standards at once.

Given multiple quality metrics exceeding thresholds, when the batch comparison tool detects these deviations, then all alerts should be generated concurrently and listed for the user's review in a notification center.

A user checks the log of past alerts to analyze trends in batch quality anomalies over time.

Given a history of past alerts, when a Quality Control Specialist accesses the alerts log, then the System should display a sortable and filterable list of alerts with relevant details including timestamp and affected batches.

A Quality Control Specialist receives a summary report of all encountered anomalies after a batch comparison analysis.

Given the completion of a batch comparison, when the process is finalized, then the system should generate and send a summary report of all anomalies detected, including suggested actions, via email to the Quality Control Specialist.

A Quality Control Specialist configures the alert system with custom variables for various production metrics.

Given the customization panel, when a Quality Control Specialist defines new metrics and sets specific thresholds, then these custom alerts should be saved and active for future batch comparisons.

Automated Reporting System

This feature streamlines the generation of quality control reports by automatically compiling data and presenting it in a user-friendly format. Users can customize report templates based on specific quality metrics and time periods, reducing manual data entry and saving time. By simplifying the reporting process, this feature enhances communication with stakeholders and supports informed decision-making around quality assurance.

Requirements

Custom Report Templates

User Story: As a quality control manager, I want to create custom report templates for quality metrics so that I can quickly generate relevant reports that meet my team's specific needs.
Description: This requirement allows users to create and save custom report templates tailored to specific quality metrics and timeframes. Users can choose which data points to include, alter formatting, and set default parameters for recurring reports. This flexibility ensures that reports align with internal standards, meet stakeholder expectations, and highlight critical insights, facilitating better decision-making and streamlined quality assurance processes.
Acceptance Criteria: User can create a new custom report template for quality control metrics.

Given a user is on the report templates page, when they select 'Create New Template' and fill in the required fields, then the new template should be saved successfully and appear in the list of available templates.

User can customize the data points included in the custom report template.

Given a user is editing a report template, when they select data points from the available options and save the template, then the chosen data points should be included in the report output as specified by the user.

User can set default parameters for recurring reports based on the custom template.

Given a user has created a custom report template, when they select options for default parameters and save, then those parameters should automatically pre-fill for future recurring reports generated from that template.

User can alter the formatting of the custom report template.

Given a user is editing a report template, when they modify the formatting options (such as fonts, colors, or layout) and save, then the formatted report should reflect these changes when generated.

User can save a custom report template and then retrieve it later.

Given a user has created a custom report template, when they navigate back to the report templates page, then the saved template should be visible and selectable for future use.

User can test the custom report template with sample data before finalizing it.

Given a user has created a new custom report template, when they select 'Test Template' and input sample data, then the system should generate a report showing the expected results based on that sample input.

User can delete an unwanted custom report template.

Given a user is on the report templates page, when they select a template and choose the 'Delete' option, then the template should be removed from the list and no longer accessible.

Automated Data Compilation

User Story: As a brewmaster, I want the reporting system to automatically compile data from different sources so that I can save time and reduce the risk of errors in my reports.
Description: This requirement automates the compilation of data from various sources within the Foamly platform to generate quality control reports. The system should seamlessly integrate with inventory management and production scheduling modules, pulling the necessary data in real-time to ensure accuracy. This feature minimizes manual data entry and errors, promotes data consistency, and enables quicker turnaround times for report generation, ultimately enhancing operational efficiency.
Acceptance Criteria: User generates a quality control report for the previous month to evaluate product consistency and quality metrics.

Given the user is logged into Foamly, when they select the quality control reporting feature and specify the previous month as the time period, then the system should automatically compile relevant data from inventory management and production scheduling and generate a report within 5 minutes.

A user customizes a report template to include specific quality metrics related to brewing processes.

Given the user is in the report template customization interface, when they select quality metrics (such as pH levels, yeast viability, and dissolved oxygen) and save the template, then the system should successfully save the template with the selected metrics for future use.

A manager reviews the generated quality control report and shares it with stakeholders.

Given the quality control report is generated successfully, when the manager accesses the report, then the manager should be able to download the report as a PDF and share it via email without system errors.

A user receives real-time alerts on data compilation failures or discrepancies.

Given the data compilation process is underway, when there is a data source failure, then the user should receive an immediate notification within the Foamly dashboard indicating the failure and recommended actions to resolve it.

A user wants to verify the accuracy of a generated quality control report by cross-referencing with raw data.

Given a quality control report is generated, when the user selects any metric in the report, then they should be able to view the underlying raw data sources and confirm the accuracy of the reported metrics.

Quality control reports are generated consistently without causing system delays.

Given multiple users generate quality control reports simultaneously, when each user submits their report request, then the system should process all requests within a maximum of 10 minutes without performance degradation.

A user modifies existing report templates to adapt to new quality metrics introduced in the brewing process.

Given the user accesses an existing report template, when they add new quality metrics, then the system should allow saving the updated template and reflect the changes in the report generation interface.

Real-Time Reporting Dashboard

User Story: As a brewery owner, I want a real-time dashboard for my quality metrics so that I can easily monitor our performance and make timely decisions to enhance product quality.
Description: This requirement involves the creation of a real-time reporting dashboard that provides users with at-a-glance insights into quality metrics and trends. Users should be able to visualize data through graphs and charts, making it easier to identify areas for improvement. The dashboard will serve as a central hub for monitoring quality performance, facilitating better awareness and quicker decision-making on quality issues.
Acceptance Criteria: Real-time Dashboard User Interaction

Given a user logged into the Foamly platform, when they access the real-time reporting dashboard, then they should see an overview of at least five critical quality metrics displayed in visual formats such as graphs or charts.

Customizable Dashboard Settings

Given a user on the real-time reporting dashboard, when they select customization options for the metrics displayed, then the dashboard should reflect their preferences immediately without requiring a page refresh.

Trend Analysis Visualization

Given that the dashboard is displaying data over a specified time period, when the user selects a quality metric, then the corresponding trend graph should update dynamically, showing data points for that metric over the chosen time frame.

Real-time Data Refresh

Given the user is viewing the real-time reporting dashboard, when new quality control data is entered into the system, then the dashboard should automatically refresh to reflect the latest data within 30 seconds.

Exporting Dashboard Data

Given a user viewing the real-time reporting dashboard, when they choose to export the data, then they should receive an Excel or CSV file containing all displayed metrics and their respective data points.

User Notification for Quality Alerts

Given the dashboard is displaying quality metrics, when any metric exceeds predefined thresholds, then the user should receive a visual alert or notification on the dashboard.

Stakeholder Sharing Options

User Story: As a quality assurance officer, I want to share quality reports with team members and stakeholders so that they can stay informed about our performance and contribute to discussions around quality improvements.
Description: This requirement introduces the ability for users to easily share generated reports with stakeholders via email or direct links. Users should be able to set permissions for viewing or editing reports to maintain security. This feature enhances communication with stakeholders, ensuring that necessary parties can access critical information, support transparency, and foster collaboration around quality assurance efforts within the brewery.
Acceptance Criteria: Stakeholder requests a quality control report for the last month during a virtual meeting to discuss brewing processes and quality assurance methods.

Given a quality control report generated for the last month, when the user selects the email option, then the report should be sent to the designated stakeholders with the correct permissions set for viewing.

A team lead needs to share a report link with the quality assurance team for immediate access and feedback on recent brewing batches.

Given a generated report, when the user selects the option to create a shareable link, then the link should be generated and accessible only to users with the specified permissions.

The quality manager wants to control who can edit a specific quality control report before it is distributed to upper management.

Given a report that requires restricted editing, when the user sets permissions to 'view only' for certain stakeholders, then those stakeholders should not have the ability to edit the report.

A brewery owner needs to share multiple reports with different permissions based on the audience (team members vs. management).

Given the requirement to share multiple reports, when the owner selects reports and applies different permission settings, then each report should be successfully shared with its respective stakeholders according to the defined permissions.

Quality control reports must be easily accessible from the platform for all linked stakeholders during collaboration meetings.

Given the collaboration meeting setup, when the user retrieves the report through the platform, then the report should load successfully and be viewable by all stakeholders present in the meeting.

Historical Data Analysis

User Story: As a quality analyst, I want to analyze historical quality control data so that I can identify trends and proactively address potential quality issues before they impact production.
Description: This requirement enables users to analyze historical quality control data to discern trends over time. Users should be able to generate reports based on historical data to identify patterns, regularities, and anomalies. This capability aids in root cause analysis for quality issues and helps in forecasting future quality performance, ultimately assisting teams in implementing proactive measures for quality assurance.
Acceptance Criteria: User generates a quality control report using historical data for the last six months to identify trends in beer quality metrics.

Given the user is logged into Foamly, when they select the 'Generate Historical Report' option and specify a six-month range, then the system should compile and display a report with key quality metrics, including average scores, trends, and anomalies.

User customizes a quality control report template before generating the report to focus on specific quality metrics relevant to their brewing process.

Given the user accesses the report template customization feature, when they select metrics such as 'Taste,' 'Aroma,' and 'Appearance,' and save the template, then these selected metrics should be reflected in the generated report.

User accesses a historical report and identifies a significant drop in quality performance during a specific period, prompting a root cause analysis.

Given the user is viewing a historical quality control report, when they notice a drop in one or more key metrics during a specified period, then the system should provide an analysis breakdown of that period's production records for further investigation.

User exports a historical quality control report for external stakeholders to review quality performance over the last year.

Given the user has generated a historical report, when they select the 'Export to PDF' option, then a comprehensive PDF report should be generated containing all relevant data and trends, ready for sharing with stakeholders.

User reviews historical quality control reports to monitor improvements after implementing changes in the brewing process.

Given the user has implemented quality improvement measures, when they access the historical quality control data, then they should be able to compare reports before and after the changes to evaluate impact clearly by visual trends.

System verifies and alerts the user of any missing or incomplete historical data that could affect the quality report generation.

Given the user attempts to generate a historical report, when the system identifies missing data for the specified period, then it should display an alert indicating which data is missing and prevent report generation until resolved.

User receives a notification concerning significant trends identified from historical data analysis that may impact future brewing practices.

Given the user has generated a historical quality report, when the system analyzes the data for significant trends, then it should send a notification to the user’s dashboard summarizing any critical findings that may affect their quality assurance processes.

Interactive Root Cause Analysis

This interactive feature allows Quality Control Specialists to delve deeper into quality metrics and investigate the root causes of any deviations. By utilizing visual tools, the dashboard aids users in tracing issues back to specific stages in the brewing process. This capability not only enhances problem-solving efficiency but also supports a culture of quality improvement, as users can take informed corrective actions to prevent future occurrences.

Requirements

Visual Analytics Dashboard

User Story: As a Quality Control Specialist, I want to access a visual analytics dashboard so that I can easily analyze quality metrics and identify trends that impact the brewing process.
Description: The Visual Analytics Dashboard provides Quality Control Specialists with an interactive platform to visualize and analyze quality metrics in real-time. It combines various graphical representations of data, such as charts and graphs, to allow users to discern patterns and trends related to product quality. This feature integrates seamlessly with existing data streams from the production process, offering insights into key performance indicators that can drive informed decision-making. The dashboard supports filtering and drill-down capabilities, enabling users to focus on specific metrics over defined time periods. This functionality enhances the ability to quickly identify anomalies and facilitates proactive quality management, ultimately contributing to higher product standards and reduced waste.
Acceptance Criteria: Quality Control Specialist views the Visual Analytics Dashboard to analyze quality metrics over the last month.

Given the Quality Control Specialist is logged into the Foamly platform, when they navigate to the Visual Analytics Dashboard and select a time frame of the last month, then the dashboard displays relevant quality metrics with appropriate charts and graphs.

Quality Control Specialist uses filtering options on the Visual Analytics Dashboard to isolate specific quality metrics.

Given the Quality Control Specialist is on the Visual Analytics Dashboard, when they apply filtering options to view only metrics related to carbonation levels, then the dashboard should update to display only the selected metric data in real-time.

Quality Control Specialist drills down into specific product batches to investigate quality deviations using the Visual Analytics Dashboard.

Given the Quality Control Specialist identifies a quality deviation in a batch of beer, when they click on the relevant data point in the dashboard, then they should be navigated to a detailed view showing all related quality metrics and historical data for that batch.

Quality Control Specialist compares current quality metrics against historical data to identify trends using the Visual Analytics Dashboard.

Given the Quality Control Specialist is on the Visual Analytics Dashboard, when they select a comparison option for the last 3 months, then the dashboard should visually represent trends between current and past metrics to facilitate analysis.

Quality Control Specialist takes corrective action based on insights gathered from the Visual Analytics Dashboard.

Given the Quality Control Specialist has identified a quality issue from the dashboard, when they select the recommended corrective action provided by the tool, then the system logs this action and prompts for confirmation before applying it.

Quality Control Specialist receives alerts for quality metrics that exceed defined thresholds in the Visual Analytics Dashboard.

Given the alert settings are configured, when quality metrics exceed the defined thresholds, then the Quality Control Specialist receives an immediate notification through the dashboard interface.

Quality Control Specialist exports visual reports from the Visual Analytics Dashboard for stakeholder presentations.

Given the Quality Control Specialist is viewing the Visual Analytics Dashboard, when they select the export option, then the system should generate a visual report in a specified format (e.g., PDF, Excel) that reflects the current dashboard data.

Root Cause Tracking Tool

User Story: As a Quality Control Specialist, I want to use a root cause tracking tool so that I can identify and document issues in the brewing process and implement effective corrective actions.
Description: The Root Cause Tracking Tool is an essential component of the Interactive Root Cause Analysis feature. It allows users to systematically trace deviations in quality metrics back to their origins within the brewing process. This tool uses a step-by-step investigation approach, where users can link quality issues to specific production stages and operational parameters. The tool also documents findings and corrective actions taken, creating a history that can be referenced for future quality assessments. By providing a structured methodology for root cause analysis, this tool not only accelerates problem resolution but also fosters a culture of continuous improvement as it educates users on the underlying factors contributing to product quality deviations.
Acceptance Criteria: A Quality Control Specialist accesses the Root Cause Tracking Tool to investigate a sudden deviation in the fermentation quality metrics.

Given that the user is logged into the Foamly platform, when they navigate to the Root Cause Tracking Tool and select a quality deviation from the dashboard, then they should be presented with a step-by-step investigation guide that links the quality issue to specific production stages and operational parameters.

After documenting findings related to a quality issue, a Quality Control Specialist generates a report summarizing the investigation's results and corrective actions taken.

Given that the investigation is complete and findings have been documented, when the user selects the 'Generate Report' option, then a comprehensive report should be produced that includes all documented findings, corrective actions taken, and a timeline of the investigation.

A Quality Control Specialist reviews historical quality assessments to identify recurring issues and remedial actions taken.

Given that the user accesses the historical records section of the Root Cause Tracking Tool, when they filter by a specific quality issue, then they should see a detailed history of past investigations and the corrective actions taken for that issue.

A Quality Control Specialist analyzes the impact of corrective actions on quality metrics over time.

Given that the user wants to evaluate the effectiveness of corrections, when they select a completed investigation and view the associated metrics, then they should be able to visualize the quality trends before and after the corrective action was implemented on a line graph.

A Quality Control Specialist sets up a notification for when quality metrics deviate beyond acceptable thresholds in the Root Cause Tracking Tool.

Given that the user is on the settings page of the Root Cause Tracking Tool, when they configure a notification for specific quality metrics, then they should receive an alert via email or in the application when those metrics fall outside the defined thresholds.

A Quality Control Specialist collaborates with colleagues during an investigation within the Root Cause Tracking Tool.

Given that the user is conducting a root cause analysis, when they invite another team member to the investigation, then the invited member should receive an invitation to collaborate and be able to access the investigation details in real-time.

Automated Reporting System

User Story: As a Quality Control Specialist, I want an automated reporting system so that I can receive timely reports on quality metrics and root cause analyses without manual effort.
Description: The Automated Reporting System generates comprehensive reports on quality metrics and root cause analyses without the need for manual input. This system automatically compiles data from various sources within the Foamly platform, producing structured reports that can be scheduled for regular distribution or triggered by specific events, such as a quality deviation. The reports include insights on trends, identified root causes, and recommendations for improvement, which can be reviewed by management and quality control teams. This feature enhances efficiency by reducing the time spent on report creation, allowing Quality Control Specialists to focus on analysis and strategic initiatives instead of administrative tasks. It also ensures that all stakeholders receive timely and consistent updates on quality performance.
Acceptance Criteria: Quality Control Specialists need to generate a weekly report on quality metrics that compiles data from the last seven days, highlighting any quality deviations and their root causes. This report will be shared with the management team for review during the weekly operations meeting.

Given that the system is configured for weekly reporting, when the weekly report is generated, then it must include data from the last seven days, highlight all quality deviations, and present root causes for each deviation identified.

In response to a spontaneous quality deviation that occurs during a brewing process, the Quality Control Specialist wants to trigger an immediate report to assess the situation. This report should provide insights based on real-time data to facilitate prompt corrective actions.

Given that a quality deviation event is triggered, when the report is generated, then it must summarize the real-time quality metrics, detail the deviation, and include suggestions for corrective action based on previous data trends.

Management requires insights into long-term quality trends to inform strategic decisions. They initiate a monthly report to review performance over the past month, focusing on identifying any recurring quality issues or improvements made in the brewing process.

Given that a monthly reporting schedule is established, when the monthly report is produced, then it must encapsulate a comprehensive analysis of the quality metrics from the past month, identify trends, and offer actionable recommendations for further quality improvement efforts.

Quality Control Specialists need to customize the report templates for different stakeholders, such as production teams and management, ensuring that the information presented is relevant to their specific needs and responsibilities.

Given that the user is in the report template settings, when they customize a report template, then the system must allow for the selection of specific data fields, formatting options, and distribution channels to tailor the report effectively for the intended audience.

After implementing the Automated Reporting System, the Quality Control team wants to verify that the reports are consistently delivered on schedule as per the defined distribution list without manual intervention.

Given that the automated report scheduling is configured, when the scheduled time arrives based on the defined settings, then the system must automatically generate and distribute the report to the specified stakeholders without any errors or delays.

In a training session for new Quality Control Specialists, they need to understand how to access and interpret the automated reports generated by the system for effective decision-making.

Given that new users are in the training module, when they access the automated reporting feature, then they must be provided with clear guidance on how to navigate the system, access the reports, and understand the data presented within them for effective quality analysis.

User Collaboration Space

User Story: As a Quality Control Specialist, I want a user collaboration space so that I can easily communicate with the production team about quality issues and collaborate on solutions effectively.
Description: The User Collaboration Space provides a dedicated platform for Quality Control Specialists and production teams to communicate and collaborate on quality issues in real-time. This feature includes chat functionality, comment sections on identified issues, and the ability to share documents and reports instantly. By facilitating immediate communication among team members involved in quality control and production, the collaboration space enhances problem-solving efforts and encourages a unified approach to quality improvement initiatives. This fosters greater engagement and accountability among team members, as they can contribute insights and suggestions directly related to ongoing quality concerns.
Acceptance Criteria: Quality Control Specialists are engaged in an urgent discussion regarding a deviation in the brewing process that has resulted in a batch inconsistency. They navigate to the User Collaboration Space to report the issue and invite the production team for immediate input and feedback.

Given that the Quality Control Specialist is logged into the Foamly platform, when they access the User Collaboration Space, then they should be able to initiate a chat with both QC and production team members, and share documents related to the deviation immediately.

A Quality Control Specialist has identified a recurring issue during the brewing process and needs to document it in the User Collaboration Space for future reference and collaborative improvement.

Given that a Quality Control Specialist identifies an issue, when they document the findings in the comment section related to the specific batch, then it should allow other team members to view, comment, and suggest corrective actions.

After addressing a quality issue, the production team wants to review past discussions about similar problems to identify any patterns and effective solutions that were proposed by team members.

Given that the production team accesses the User Collaboration Space, when they search for past issues documented in the chat and comments, then they should be able to retrieve a complete history of discussions related to quality issues for further analysis.

A team member notices a critical comment highlighting a potential quality issue and wants to ensure it reaches everyone involved for immediate attention.

Given a critical comment on an identified issue, when the Quality Control Specialist marks it as urgent, then all team members listed in the collaboration space should receive a notification indicating the urgency and importance of the comment.

Following the resolution of a quality issue, the team conducts a retrospective discussion to analyze the incident and document learned lessons in the User Collaboration Space.

Given that the team conducts a retrospective, when they document the lessons learned, then these notes should be accessible in the User Collaboration Space, allowing all team members to contribute insights and reflect on the corrective actions taken.

The brewing team needs to share a production report with the Quality Control team to verify its compliance with quality standards before moving to the next batch.

Given that the brewing team prepares a production report, when they upload it to the User Collaboration Space, then the Quality Control team members should be able to access and comment on this report in real-time before it is finalized.

Quality Metric Alerts

User Story: As a Quality Control Specialist, I want to receive alerts for quality metrics so that I can respond promptly to deviations and maintain high-quality standards in brewing.
Description: The Quality Metric Alerts feature enables Quality Control Specialists to set thresholds and receive automated alerts when specific quality metrics fall outside expected ranges. These alerts can be customized based on varying levels of urgency and are delivered via multiple channels, such as email or in-app notifications. The proactive nature of this feature ensures that quality issues are addressed immediately, preventing further deviations and ensuring that production maintains high standards. This capability not only supports swift responses to quality anomalies but also enhances overall operational efficiency by allowing teams to focus their efforts on critical issues as they arise.
Acceptance Criteria: Quality control specialist is monitoring production quality metrics and sets a threshold for the fermentation process clarity levels to ensure it meets the brewing standards.

Given the quality threshold is set for fermentation clarity at 5 NTU, When the clarity measurement exceeds this threshold, Then the quality control specialist receives an immediate email notification alerting them of the deviation.

A quality control specialist wants to adjust alert priority levels for different quality metrics to optimize response times based on severity.

Given a quality metric has a defined alert severity level, When the specialist modifies the severity of the clarity threshold from 'medium' to 'high', Then the system must update the alert delivery channels to include real-time SMS notifications in addition to email alerts.

During a routine inspection, a brewing team member tests a beer batch for flavor consistency and finds that it falls below the acceptable quality range set by the quality control specialist.

Given the flavor consistency metric is set to trigger alerts below a score of 7 on a 10-point scale, When a batch is tested and receives a score of 6, Then the system must send an in-app notification to the quality control specialist and log the incident for further analysis.

The quality control team conducts a weekly review of alerts generated from the quality metric system to identify patterns and ongoing issues.

Given the quality metric alerts log is accessible, When the quality control team reviews the log for the last week, Then they should see a comprehensive report detailing all alerts triggered, the metrics affected, and the corresponding corrective actions taken.

A brewing technician is troubleshooting a production issue and requires immediate access to the most recent quality metric alerts related to that production run.

Given the technician accesses the Quality Metric Alerts dashboard during production, When they filter alerts by the specific batch production number, Then they should see a detailed list of all related alerts including timestamps and metric values at the time of deviation.

Management needs to ensure that all quality alerts are effectively communicated to the brewing team to prevent production lags due to quality issues.

Given management's request for a report, When the quality control team compiles the reports of alerts sent in the last month, Then the report should confirm that at least 95% of alerts were acknowledged by the brewing team within 5 minutes of being sent.

Custom Alerts & Notifications

With this feature, users can set custom alerts for specific quality metrics related to their brewing processes. These notifications will trigger actions if any parameters exceed predefined thresholds, ensuring that Quality Control Specialists are immediately informed of potential issues. By enabling proactive responses, this feature helps maintain product quality and consistency, reducing wasted time and resources due to quality-related issues.

Requirements

Threshold Configuration

User Story: As a Quality Control Specialist, I want to customize quality metric thresholds so that I can monitor brewing processes more effectively and respond proactively to any deviations.
Description: This requirement allows users to define and customize specific thresholds for quality metrics relevant to their brewing processes. Users will input minimum and maximum acceptable values for various parameters, ensuring that Quality Control Specialists have tailored settings to monitor different facets of brewing operations. This flexibility is vital for adapting to varying production conditions and styles, thereby enhancing the overall quality control process. The configuration will be easily accessible through a user-friendly interface, promoting quick adjustments as production needs evolve.
Acceptance Criteria: Threshold Configuration for Temperature Monitoring

Given a Quality Control Specialist accesses the Threshold Configuration feature, when they input minimum and maximum temperature values for fermentation, then the system should save these values and display them correctly in the interface.

Threshold Configuration for pH Levels

Given that a user is in the Threshold Configuration interface, when they set a minimum pH level of 4.0 and a maximum pH level of 5.0 for a specific batch of beer, then the system should validate these settings without errors and allow the user to proceed with saving.

Threshold Exceedance Notification

Given that the temperature threshold is set at a minimum of 60°F and maximum of 70°F, when the temperature exceeds the maximum threshold, then the system should immediately send an alert notification to the Quality Control Specialist's registered email.

User-Friendly Interface for Threshold Input

Given that a user is configuring quality metric thresholds, when they navigate the threshold input interface, then all fields should be clearly labeled, and tooltips should provide examples of acceptable input values.

Real-time Threshold Adjustment

Given a brewing operation is ongoing, when a Quality Control Specialist needs to adjust a threshold for a quality metric, then they should be able to do so within five clicks and see the changes reflected in real-time without system lag.

Audit Trail for Threshold Changes

Given that a Quality Control Specialist has changed the quality thresholds, when they access the audit trail, then they should be able to view a record of changes, including timestamp, user ID, and previous values.

Threshold Configuration Usability Testing

Given a group of Quality Control Specialists using the Threshold Configuration feature, when they are asked to configure thresholds for various brewing parameters, then at least 80% of users should report satisfaction with the usability of the interface after completing the task.

Real-Time Notifications

User Story: As a Quality Control Specialist, I want to receive real-time notifications for quality metric changes so that I can quickly address issues and ensure product consistency.
Description: The real-time notifications requirement ensures that users receive immediate alerts when any quality metric exceeds or falls below the predefined thresholds. This feature will utilize push notifications and in-app alerts to inform Quality Control Specialists, allowing for swift action to rectify potential quality issues. The timely nature of these alerts is crucial in the brewing process, where even minor deviations can lead to significant quality control problems. It will help minimize the risk of product loss and maintain consistent quality standards.
Acceptance Criteria: Quality Control Specialists receive alerts when the pH level of the brew exceeds the predefined upper threshold during the fermentation process.

Given the pH level exceeds the upper threshold, When the threshold is breached, Then a push notification is sent to the Quality Control Specialist's mobile device immediate.

Quality Control Specialists are notified when the temperature in the brewing kettle drops below the predefined lower threshold.

Given the temperature drops below the lower threshold, When the temperature is recorded, Then an in-app alert is displayed immediately in the Foamly dashboard.

Users set a custom threshold for yeast viability, and receive notifications when yeast viability falls below that threshold.

Given the yeast viability falls below the custom threshold, When the threshold is triggered, Then a push notification and in-app alert are sent simultaneously to the Quality Control Specialist.

Quality Control Specialists need to track the freshness of raw ingredients and are notified if the storage time exceeds the maximum threshold.

Given the storage time of raw ingredients exceeds the maximum allowance, When the threshold is passed, Then a notification is generated alerting the Quality Control Specialist.

Sensitivity of the system is tested with fluctuating CO2 levels in the fermentation tank, leading to notifications.

Given the CO2 level fluctuates beyond the predefined acceptable range, When the fluctuation is detected, Then the system triggers real-time alerts to the concerned Quality Control Specialists.

Quality Control Specialists must confirm receipt of notifications for critical quality metrics to ensure acknowledgement.

Given a critical alert is sent, When the Quality Control Specialist confirms receipt, Then the acknowledgment is logged in the system for compliance.

Alert History Log

User Story: As a Quality Control Specialist, I want to access an alert history log so that I can analyze past quality events and improve our brewing processes over time.
Description: An alert history log will be integrated to keep track of all alerts generated by the system, detailing when each alert was triggered and the corresponding quality metrics that were affected. This feature will provide valuable insights for trend analysis, helping brewers to understand recurring issues and refine their brewing processes accordingly. The log will be searchable and exportable for detailed reporting, thus supporting continuous improvement in quality control practices.
Acceptance Criteria: Quality Control Specialist reviews alerts for brewing metrics.

Given that a quality alert is triggered, when the Quality Control Specialist accesses the alert history log, then the system should display a list of all alerts triggered, including timestamps and the corresponding quality metrics.

Brewer conducts trend analysis on historical alert data.

Given that the alert history log is available, when the brewer uses the search functionality to filter alerts by specific metrics, then the system should return a list of all relevant alerts with accurate detail.

Quality Control Specialist exports alert history for reporting purposes.

Given that the Quality Control Specialist is in the alert history log, when they select the export option, then the system should generate an exportable report in CSV format that includes all alerts and associated metrics.

System processes duplicate alerts efficiently.

Given that an alert was previously triggered for a specific metric, when the same condition is met again, then the system should either update the existing alert entry or create a new entry with a timestamp without causing duplicates in the log.

User access and permissions for alert history log.

Given that a user is logged into the system with Quality Control permissions, when they access the alert history log, then they should be able to view all previous alerts, while users without proper permissions should receive an error message when attempting to view the log.

Alert history log supports multiple quality metrics.

Given that multiple quality metrics are defined, when an alert is triggered for any of these metrics, then the alert history log should accurately reflect the triggered alerts against each relevant metric with correct timestamps.

User interface clarity for alert information.

Given that the alert history log is open, when a user examines the details of any alert, then the information presented should be clear, displaying the metric, threshold exceeded, timestamp, and any notes with proper formatting for readability.

Custom Notification Settings

User Story: As a Quality Control Specialist, I want to customize my notification settings so that I can receive alerts in the way that best suits my working style.
Description: This requirement allows users to personalize their notification preferences, including the types of alerts they wish to receive and how they want to be notified (e.g., email, SMS, in-app). This personalization increases user engagement and ensures that Quality Control Specialists receive critical information in the most suitable format for their workflow. By catering to individual preferences, this feature enhances usability and responsiveness in quality management.
Acceptance Criteria: User Customizes Notification Preferences for Quality Metrics

Given a user is logged into Foamly, when they access the 'Notification Settings' page, then they should be able to select from a list of available quality metrics and choose preferred notification methods (email, SMS, in-app).

User Receives Notifications for Exceeding Thresholds

Given a user has set up custom alerts for specific quality metrics, when any of those metrics exceed the predefined thresholds, then they should receive a notification in the chosen format (e.g., email, SMS, or in-app).

User Edits Existing Notification Settings

Given a user has previously configured notification settings, when they revisit the 'Notification Settings' page, then they should be able to edit their alert preferences and save the changes successfully.

User Deletes a Notification Alert

Given a user has set custom alerts, when they choose to delete one of their notification alerts from the 'Notification Settings', then the selected alert should be removed, and the user should receive confirmation of this action.

User Receives Timely Notifications

Given a quality metric exceeds a threshold, when the alert is triggered, then the user should receive the corresponding notification within 5 minutes, confirming the system's responsiveness.

User Views Notification History

Given a user wants to check past notifications, when they navigate to the 'Notification History' section, then they should see a list of all notifications they received, sorted by date and time.

User Can Turn Notifications On or Off

Given a user is on the 'Notification Settings' page, when they toggle a specific notification alert to off, then they should no longer receive notifications for that alert until it is toggled back on.

Dashboard Integration

User Story: As a Quality Control Specialist, I want to see all quality alerts and metrics on my dashboard so that I can make quick, informed decisions regarding our brewing processes.
Description: The dashboard integration requirement will present a consolidated view of all quality metrics and alerts directly within the user’s dashboard. This real-time dashboard will visually represent data through graphs, charts, and status indicators, allowing Quality Control Specialists to assess performance at a glance. Integration into the dashboard facilitates an intuitive understanding of quality control and enables rapid decision-making, ultimately supporting operational efficiency.
Acceptance Criteria: Quality Control Specialists need to receive immediate notifications when any quality metric exceeds a defined threshold while monitoring the brewing process on the dashboard.

Given that a quality metric on the dashboard exceeds its predefined threshold, when the event occurs, then an alert notification should be sent to the Quality Control Specialist's device within 5 seconds.

When viewing the dashboard, Quality Control Specialists want to see real-time graphical representations of all quality metrics for effective monitoring of brewing processes.

Given that the Quality Control Specialist is on the dashboard, when the dashboard is accessed, then all quality metrics should be visually represented with up-to-date graphs and charts reflecting the latest data.

Quality Control Specialists require a clear visual indicator on the dashboard to represent the overall status of quality metrics: normal, warning, or critical.

Given that quality metrics are displayed on the dashboard, when the dashboard loads, then each metric should have a corresponding status indicator that clearly shows 'Normal', 'Warning', or 'Critical' based on predefined thresholds.

Whenever a new threshold is set by a Quality Control Specialist, they expect the dashboard to automatically update to reflect these changes across all relevant quality metrics.

Given that a Quality Control Specialist updates a quality threshold in the settings, when the threshold is changed, then the dashboard should reflect this new threshold across all relevant quality metrics immediately.

Quality Control Specialists want to be able to filter the displayed quality metrics on the dashboard based on specific criteria like date range or metric type.

Given that the Quality Control Specialist is viewing the dashboard, when they apply a filter for a specific date range or metric type, then the dashboard should only display the quality metrics that meet the filter criteria.

Quality Control Specialists need to view historical data on quality metrics to analyze trends over time.

Given that the Quality Control Specialist selects the historical data option in the dashboard, when the request is made, then the dashboard should display a historical line graph of the selected quality metrics over the past 30 days.

Visual Quality Scorecard

The Visual Quality Scorecard provides a quick overview of essential quality metrics across batches presented in a scorecard format. This feature allows Quality Control Specialists to rapidly assess overall quality performance at a glance, making it easier to prioritize areas for improvement. By enhancing visibility into performance metrics, this tool empowers users to uphold the brewery’s commitment to high-quality craft beer.

Requirements

Dynamic Metric Dashboard

User Story: As a Quality Control Specialist, I want to view real-time quality metrics on a dynamic dashboard so that I can quickly assess and respond to issues in the brewing process.
Description: The Dynamic Metric Dashboard serves as the central hub for displaying real-time quality metrics for all batches within the brewing process. This interactive dashboard allows users to filter and sort data based on various parameters such as batch date, ingredient, and production line, providing insights into quality trends over time. By offering a visual representation of metrics that is easy to navigate, users can quickly identify anomalies and adjust production processes accordingly. This dashboard not only facilitates timely decision-making but also enhances communication among team members regarding quality standards and deviations.
Acceptance Criteria: As a Quality Control Specialist, I want to access the Dynamic Metric Dashboard to view real-time quality metrics for all batches so that I can quickly identify any quality issues that may arise during production.

Given I am logged into Foamly and have the appropriate permissions, when I navigate to the Dynamic Metric Dashboard, then I should see a real-time overview of all batch quality metrics including scores for aroma, flavor, and clarity.

As a user, I want to filter the quality metrics displayed on the Dynamic Metric Dashboard by batch date, so that I can analyze the performance of specific production runs over time.

Given I am on the Dynamic Metric Dashboard, when I apply the date filter for 'Last 30 Days', then the dashboard should only display metrics for batches produced within that timeframe.

As a Quality Control Specialist, I need to sort the quality metrics by ingredient to evaluate how each ingredient affects the overall quality of the beer produced.

Given I am viewing the quality metrics, when I select to sort the data by 'Ingredient', then the metrics should be organized accordingly to show performance trends for each ingredient.

As a team lead, I want to view notifications for any metrics that fall below quality standards on the Dynamic Metric Dashboard, so I can take immediate action to address potential quality issues.

Given I am on the Dynamic Metric Dashboard, when any quality metric falls below the predefined thresholds, then a notification should be displayed prominently on the dashboard indicating which metrics require urgent attention.

As a user, I want to export the data from the Dynamic Metric Dashboard into a report format for team reviews and assessments, to facilitate discussion in quality meetings.

Given I am on the Dynamic Metric Dashboard, when I select the 'Export' option, then I should be able to download the quality metrics as a CSV or PDF report as per my selection.

Batch Comparison Feature

User Story: As a Quality Control Specialist, I want to compare quality metrics across different batches so that I can identify trends and improve the quality of our craft beer.
Description: The Batch Comparison Feature enables Quality Control Specialists to compare quality metrics across multiple batches side by side. This feature highlights variations in quality indicators such as clarity, taste, and aroma, allowing users to pinpoint the root causes of any discrepancies. Users can select batches to compare from a historical dataset, providing context for current batch performance and facilitating learning and improvement in future productions. This feature is critical for maintaining consistency in brewing and ensuring that each product meets the brewery's quality standards.
Acceptance Criteria: Quality Control Specialist needing to compare specific batches of beer to identify quality variations and make adjustments to the brewing process.

Given a Quality Control Specialist is logged into Foamly, when they select two or more batches to compare, then the system shall display a side-by-side comparison of quality metrics including clarity, taste, and aroma for selected batches.

Quality Control Specialist using the Batch Comparison Feature to analyze historical batch data and identify trends in quality indicators over time.

Given a Quality Control Specialist is on the Batch Comparison screen, when they select a date range for historical batches, then the system shall retrieve and display relevant quality metrics for all batches within that date range.

Quality Control Specialist aiming to quickly assess discrepancies between current and historical batches after a brewing session.

Given a Quality Control Specialist selects the current brewing batch and one or more historical batches for comparison, when they initiate the comparison, then the system shall highlight notable differences in quality metrics, indicating areas needing attention.

Quality Control Specialist wanting to share batch comparison findings with the brewing team to discuss quality improvements.

Given a Quality Control Specialist has completed a batch comparison, when they select the option to generate a report, then the system shall produce a detailed report outlining the comparison results, including visual charts and data points, ready for download or email.

Quality Control Specialist needing to filter batches based on specific quality metrics to focus on particular areas of improvement.

Given a Quality Control Specialist is viewing the list of historical batches, when they apply filters for specific quality metrics such as clarity less than 90% or aroma rating below average, then the system shall display only those batches that meet the filter criteria.

Quality Control Specialist analyzing the impact of specific ingredients or processes on batch quality through comparisons.

Given a Quality Control Specialist selects batches produced with the same recipe but different ingredients, when they initiate a comparison, then the system shall display the quality metrics and highlight differences attributed to ingredient variations.

Automated Quality Alerts

User Story: As a Quality Control Specialist, I want to receive automated alerts when quality metrics fall below defined thresholds so that I can take quick action to address potential quality issues.
Description: Automated Quality Alerts are notifications triggered by specific quality thresholds being exceeded during the brewing process. These alerts are sent to the Quality Control Specialists via the platform or through email, allowing them to take immediate action when quality drops below acceptable levels. By automating this process, the brewery can minimize the risk of producing subpar products and ensure that corrective measures are implemented swiftly. This feature streamlines communication and response time, reinforcing the brewery's commitment to quality assurance and proactive management.
Acceptance Criteria: Quality Control Specialist receives an automated alert when the pH level of a batch exceeds the predefined threshold during the brewing process.

Given the pH threshold is set at 4.2, when the pH level exceeds this threshold, then an automated alert should be sent immediately to the Quality Control Specialist via the platform and email.

The automated quality alert system triggers notifications based on multiple quality metrics, including temperature and specific gravity, during brewing.

Given that temperature is set to alert if it exceeds 70°F, when the temperature exceeds this value, then all designated Quality Control Specialists should receive a notification within 2 minutes via the platform.

A Quality Control Specialist views the Visual Quality Scorecard and assesses the alerts to take corrective actions in the current brewing process.

Given there are active alerts from the automated system displayed in the Visual Quality Scorecard, when the Quality Control Specialist opens the scorecard, then they should see the alerts prominently highlighted for each affected batch.

The automated quality alerts must integrate seamlessly with the existing inventory management module for effective tracking of quality issues related to specific inventory items.

Given a quality alert is triggered, when the alert is processed, then the affected inventory items should be flagged in the inventory management system for review.

Quality Control Specialists report a decrease in response time to address quality issues after implementing the automated alert system.

Given the previous average response time was 15 minutes prior to implementation, when the automated quality alert system is active, then the new average response time should be reduced to below 5 minutes.

The automated alerts are tested during a simulated brewing process to ensure reliability and accuracy of notifications.

Given a simulated brewing environment is established, when quality thresholds are breached, then the system must trigger alerts accurately in 100% of test cases.

Notifications from the automated quality alert system provide clear instructions on necessary corrective measures to be taken by Quality Control Specialists.

Given an alert is triggered, when the Quality Control Specialist receives the notification, then the alert should include recommended actions for quality correction relevant to the issue identified.

Historical Quality Tracking

User Story: As a Quality Control Specialist, I want to access historical quality metrics so that I can analyze trends and make data-driven improvements to our brewing process.
Description: The Historical Quality Tracking feature captures and stores all relevant quality metrics over time, creating a comprehensive database of past batch performances. Users can access this data to analyze historical trends, assess the impact of recipe changes, and evaluate the effectiveness of quality control measures. This feature supports detailed reporting and provides key insights needed to make informed decisions about future brewing processes. By having access to historical data, brewers can enhance their practices and produce consistent, high-quality craft beer.
Acceptance Criteria: Accessing Historical Quality Metrics for Trend Analysis

Given a user with Quality Control Specialist role, when they access the Historical Quality Tracking feature, then they should be able to view a comprehensive list of all quality metrics captured over time for past batches.

Generating Historical Quality Reports

Given a user with reporting privileges, when they request a historical quality report for a specific time period, then the system should generate a report that includes key quality metrics and trends for that time frame.

Evaluating Recipe Change Impact via Historical Data

Given a user analyzing the impact of a recipe change, when they compare historical data of batches produced before and after the change, then they should be able to see a clear representation of quality metrics that indicate improvement or decline in performance.

Access Control for Historical Data

Given an administrator, when they set up user roles and permissions for the Historical Quality Tracking feature, then they should ensure that only authorized users can access detailed historical quality data.

Searching Historical Metrics by Batch ID

Given a user within the Historical Quality Tracking feature, when they enter a specific batch ID, then the system should return the relevant quality metrics for that batch, including any comments or notes related to quality control.

Visualizing Historical Quality Metrics on a Scorecard

Given a Quality Control Specialist using the Visual Quality Scorecard, when they select a date range, then the scorecard should update to reflect the quality performance metrics for all batches produced in that selected range.

Integrating Historical Quality Data with Analytics Tools

Given a user wanting to analyze data trends, when they export historical quality data to an analytics tool, then the data should be correctly formatted and include all relevant historical metrics for detailed analysis.

User Access Management for Quality Metrics

User Story: As an administrator, I want to manage user access to quality metrics so that I can ensure that sensitive data is secure and accessible only to the right people.
Description: User Access Management for Quality Metrics allows administrators to regulate who has the ability to view or edit quality metrics and reports within the platform. This feature ensures that sensitive quality information is only accessible to authorized personnel, enhancing data security and compliance with industry standards. By implementing role-based access control, different team members can be granted varying levels of access, enabling better collaboration while maintaining the integrity and confidentiality of the quality data.
Acceptance Criteria: Quality Control Specialist logs into Foamly to view the Visual Quality Scorecard and checks access permissions for viewing quality metrics.

Given a Quality Control Specialist is logged into the system, when they navigate to the Visual Quality Scorecard, then they should be able to view quality metrics if their role permits access according to the role-based access control settings.

An administrator configures user roles for the Quality Metrics feature and assigns specific permissions to different team members.

Given an administrator is managing user permissions, when they configure roles, then they should be able to assign view and edit permissions to different users for quality metrics without any errors or system crashes.

Quality Control Specialist attempts to edit quality metrics on the Visual Quality Scorecard without the necessary permissions.

Given a Quality Control Specialist accesses the Visual Quality Scorecard, when they attempt to edit quality metrics without edit permissions, then they should receive an error message indicating insufficient permissions to perform the action.

An auditor reviews access logs for quality metrics to ensure compliance with industry standards.

Given an auditor is reviewing access logs, when they filter logs by user activity, then they should see a comprehensive list of all access events related to quality metric views and edits, with timestamps and user roles listed.

A Quality Control Specialist logs out of the Foamly platform and another user tries to log in with different credentials.

Given a Quality Control Specialist is logged in, when they log out of the system, then the session should end and another user should be able to successfully log in with their credentials without any session conflicts.

An administrator needs to audit user roles and permissions for accessing quality metrics.

Given an administrator accesses the user management dashboard, when they review user roles and permissions for quality metrics, then they should be able to see a clear and accurate representation of all assigned roles and their corresponding permissions.

Integrated Reporting Tools

User Story: As a Quality Control Specialist, I want to generate custom reports on quality metrics so that I can share targeted insights with my team and stakeholders efficiently.
Description: The Integrated Reporting Tools provide users with the ability to generate, customize, and share quality reports directly from the platform. Users can select specific metrics, time frames, and batch details to create tailored reports that meet their analytical needs. This feature greatly reduces the time spent on report generation and improves the accuracy of the data presented. With integrated reporting, users can easily share insights with team members and stakeholders, facilitating transparent communication regarding quality performance and operational efficiency.
Acceptance Criteria: Quality Control Specialist generates a quality report for a specific batch to present during a team meeting.

Given the user selects a batch, when they choose specific metrics and time frames, then a customized report is generated that includes the selected data.

QA team shares quality reports generated from the Integrated Reporting Tools with stakeholders after a quality review session.

Given that a quality report is generated, when the user selects the share option, then the report should be emailed to specified stakeholders successfully.

A Quality Control Specialist views and assesses the accuracy of the generated report against the raw data collected on quality metrics.

Given a generated report exists, when the user cross-references the report with raw quality data, then all metrics should align and match without discrepancies.

User customizes a report to include only specific metrics relevant to a product line identified for improvement.

Given the user accesses the report customization options, when they select metrics related to the product line, then the report should only display the chosen metrics accurately.

The integrated reporting tool allows a QC Specialist to generate a report at any time and view it in real-time.

Given the user accesses the reporting tool, when they initiate a report generation process, then the system should allow real-time data access and report generation without delays.

A user attempts to generate a report but doesn't have the required permissions.

Given a user without proper permissions tries to access the reporting tool, when they attempt to generate a report, then they should receive an error message indicating insufficient permissions.

User downloads a report in various file formats after customizing it for internal use.

Given a customized report, when the user selects the download option, then they should be able to download the report in at least three different formats (e.g., PDF, Excel, CSV) successfully.

Press Articles

Foamly Launches Revolutionary Cloud-Based Tool for Craft Breweries: FOR IMMEDIATE RELEASE
November 22, 2024

Foamly, a pioneering startup in the brewing technology space, is excited to announce the launch of its groundbreaking cloud-based tool explicitly designed for craft brewers and microbreweries. This innovative platform seamlessly integrates inventory management, production scheduling, and quality control into a single dashboard, making it easier than ever for brewers to focus on what they do best: creating exceptional craft beer.

Craft brewers and microbreweries face unique challenges in managing their operations, often juggling multiple systems and manual processes that can lead to inefficiencies and wasted resources. Foamly addresses these issues head-on with a user-friendly interface that allows brewers to gain complete visibility of their brewing processes, optimize resource usage, and enhance product quality.

"Foamly is designed to empower brewers by simplifying complex operations and enabling them to make data-driven decisions," said Sarah Johnson, CEO of Foamly. "Our platform provides valuable insights into production cycles, inventory levels, and quality metrics, allowing brewers to craft their beers with precision."

Key features of Foamly include:

Real-Time Inventory Management: Track inventory levels and alert users when stock runs low.

Production Scheduling: Easily manage production schedules, ensuring timely delivery and optimal resource utilization.

Quality Control Tools: Implement robust quality control measures to maintain product consistency and compliance with industry standards.

Analytics and Reporting: Generate comprehensive reports to analyze performance trends and make informed strategic decisions.

Community Engagement: Features like the Craft Community Hub allow users to connect with local suppliers, fostering sustainable sourcing practices.

In addition to these core functionalities, Foamly includes innovative features such as a Carbon Footprint Calculator and Waste Reduction Dashboard, allowing breweries to track their environmental impact and promote sustainability.

"The brewing industry is evolving, and with it comes a growing demand for efficiency and sustainability," said David Lee, Chief Technology Officer at Foamly. "By harnessing the power of cloud technology and data analytics, we are excited to promote an eco-friendly approach that aligns with today's consumer expectations."

Foamly’s team consists of industry veterans and technology experts who understand the intricacies of brewing operations. Their commitment to innovation and customer success drives the development of tools designed to meet brewers' needs.

To celebrate the launch, Foamly is offering a free 30-day trial for new users. Interested breweries can sign up on the Foamly website to experience the benefits of this transformative platform.

For more information or to schedule an interview, please contact:

Laura Martinez, PR Manager

Email: press@foamly.com

Phone: (555) 123-4567

About Foamly:
Foamly is committed to revolutionizing the brewing industry with innovative, cloud-based solutions designed specifically for craft brewers and microbreweries. By providing an all-in-one platform that integrates core brewing operations, Foamly empowers breweries to reduce waste, enhance efficiency, and focus on brewing high-quality beer.

Visit us at www.foamly.com for more details.

Foamly Identifies Emerging Trends in Craft Beer with Robust Analytics Feature: FOR IMMEDIATE RELEASE
November 22, 2024

Foamly, the leading cloud-based solution for the brewing industry, is thrilled to announce the launch of its new analytical tool designed to help craft brewers identify and leverage emerging trends in the marketplace. This powerful feature places vital data at the users' fingertips, allowing for informed decision-making to optimize production strategies and marketing efforts.

In an ever-competitive craft beer landscape, breweries must stay ahead of consumer preferences and industry trends. Foamly's analytics feature utilizes historical sales data, market research, and consumer behavior insights to predict upcoming trends, enabling brewers to adjust their offerings accordingly.

"Understanding market trends is crucial for any brewery, especially as consumers become increasingly selective about their craft beer choices," stated Mark Thompson, Market Analyst at Foamly. "Our new analytics feature equips brewers with the data they need to innovate and evolve their product lines effectively."

Key functionalities of the analytics tool include:

Market Trend Reports: Generate reports summarizing market dynamics and forecasting future trends based on consumer data.

Sales Performance Visualization: Visualize sales data over time to identify peaks, troughs, and opportunities for growth.

Consumer Engagement Analysis: Examine customer feedback and purchasing behaviors to enhance product offerings and marketing strategies.

Integration with Existing Systems: Seamlessly integrates with brewing operations to provide real-time data updates.

The analytics tool represents Foamly's ongoing commitment to providing craft brewers with technology that not only enhances brewery operations but also drives business growth.

"This tool is part of our mission to empower craft brewers with knowledge and resources to achieve their business objectives," added Johnson. "By helping breweries optimize their product offerings, we believe we contribute to the overall growth and sustainability of the craft beer industry."

Foamly will be hosting a live demonstration of the new analytics feature for interested breweries on December 5, 2024. Participants can sign up via the Foamly website to reserve their spot and see firsthand how nearly effortless data can influence successful brewing operations.

For more information or to schedule an interview, please contact:

Laura Martinez, PR Manager

Email: press@foamly.com

Phone: (555) 123-4567

About Foamly:
Foamly is a cloud-based software platform tailored for the brewing industry. With a focus on streamlining operations and enhancing product quality, Foamly provides brewers with indispensable tools and insights to create exceptional craft beer.

For more details, visit www.foamly.com.

Foamly Introduces Unique Sustainability Features to Help Breweries Go Green: FOR IMMEDIATE RELEASE
November 22, 2024

Foamly, a pioneering technology platform for the brewing industry, is excited to unveil a new suite of sustainability features designed to support breweries in their quest for environmentally friendly practices. As consumers increasingly seek out brands that prioritize sustainability, Foamly’s innovative tools will help craft brewers not only measure their impact but also take actionable steps towards enhancing their eco-friendliness.

Global concerns around climate change and environmental degradation have prompted breweries to rethink their operational practices. Foamly addresses this need with a robust suite of sustainability features, which includes a Carbon Footprint Calculator, a Waste Reduction Dashboard, and a Sustainability Goals Planner.

"We recognize the growing demand for sustainability within the brewing industry, and we are committed to providing brewers the tools they need to meet that demand," said Emily Rivers, Chief Sustainability Officer at Foamly. "Our new features will help breweries track their environmental impact and set actionable goals that align with sustainability best practices."

Highlights of the new sustainability features:

Carbon Footprint Calculator: Enables breweries to monitor their carbon emissions based on production activities, helping them identify areas for improvement.

Waste Reduction Dashboard: Categorizes and tracks waste generated during brewing operations, making it easier to develop strategies to minimize waste.

Sustainability Goals Planner: Provides templates for breweries to set, track, and manage their sustainability objectives, with reminders and insights.

By integrating these features into the Foamly platform, breweries can increase transparency with consumers and build trust through responsible practices.

"Sustainability is not just a trend; it represents a fundamental shift in how the brewing industry operates," Johnson added. "With our new tools, we are making it easier for breweries to adopt sustainable practices and showcase their commitment to the environment."

Foamly is inviting breweries to join their initiative toward a greener future with these new features available as part of the Foamly platform. For more information on how Foamly can enhance sustainability efforts, please visit the company website.

For inquiries, please contact:

Laura Martinez, PR Manager

Email: press@foamly.com

Phone: (555) 123-4567

About Foamly:
Foamly is dedicated to providing innovative, cloud-based solutions for the craft brewing industry. By integrating essential operational tools with sustainability practices, Foamly empowers breweries to craft high-quality beer while minimizing their environmental footprint.

Visit us at www.foamly.com.

Foamly Enhances Quality Control with Interactive Dashboard for Brewers: FOR IMMEDIATE RELEASE
November 22, 2024

Foamly, the leading cloud-based software for craft brewers, is pleased to announce the launch of its Interactive Quality Control Dashboard, a feature aimed at enhancing the quality assurance process across breweries. This innovative tool provides real-time visualization of quality metrics, allowing brewers to monitor and maintain high standards of product quality throughout the brewing cycle.

Stringent quality control is essential for any brewery seeking to produce exceptional craft beer. Foamly understands that brewers require immediate access to vital quality metrics to respond to changes in brewing conditions effectively. With the new Interactive Dashboard, users can track essential quality indicators like fermentation temperature, pH levels, and carbonation in real-time.

"We designed the Interactive Quality Control Dashboard to put the power of quality into the hands of brewers," stated James Parker, Head of Quality Assurance at Foamly. "Our goal is to ensure that every batch of beer meets the highest standards, and this dashboard serves as an essential tool for achieving that goal."

Key features of the Interactive Dashboard include:

Real-Time Metrics: Instant access to critical quality metrics for every batch being produced.

Visual Scorecards: Color-coded visualizations help brewers quickly identify trends and potential issues in quality.

Automated Reporting: Streamlined generation of quality reports saves time and reduces manual entry errors.

Root Cause Analysis Tools: Enable users to investigate deviations in quality and trace them back to specific production steps.

Foamly’s emphasis on quality control reflects its commitment to helping craft brewers uphold their reputation for excellence. The Interactive Quality Control Dashboard is designed for ease of use, ensuring that all brewing staff can utilize it effectively.

"Quality is at the heart of brewing, and we are excited to provide brewers with tools that enhance their ability to maintain exemplary standards," added Parker.

To celebrate the launch, Foamly will offer a series of webinars demonstrating the functionality of the new dashboard. Interested breweries can register for the webinars via the Foamly website, where additional information about all features is available.

For more information or to schedule an interview, please contact:

Laura Martinez, PR Manager

Email: press@foamly.com

Phone: (555) 123-4567

About Foamly:
Foamly is a cutting-edge cloud-based solution tailoring its capabilities to the unique needs of craft breweries. By integrating innovative quality control, production management, and sustainability features, Foamly empowers breweries to craft exceptional beer while maintaining efficiency.

Visit us at www.foamly.com for more details on the latest features and offerings.

Foamly Unveils Recipe Collaboration Tool to Enhance Brewing Creativity: FOR IMMEDIATE RELEASE
November 22, 2024

Foamly is thrilled to announce the launch of its Recipe Collaboration Tool, a new feature designed to enhance creativity and streamline the brewing process for craft brewers. This innovative tool allows brewing teams to effectively collaborate on recipes in real time, ensuring that innovative ideas can come to life through streamlined communication and teamwork.

Collaborative efforts in crafting unique beers have become increasingly vital in the competitive brewing landscape. Foamly’s Recipe Collaboration Tool breaks down communication barriers, enabling brewers to share and modify recipes on a single platform. With the tool's intuitive design, changes can be tracked and integrated seamlessly, fostering a collaborative environment.

"Brewing is an art, and like any art form, collaboration leads to innovation," said Brian Rowe, Creative Director at Foamly. "The Recipe Collaboration Tool empowers brewers to share their creativity while maintaining the consistency needed in production."

Key features of the Recipe Collaboration Tool include:

Real-Time Recipe Sharing: Users can instantly share changes and ideas, fostering immediate feedback among brewing teams.

Version Control: Track recipe alterations and revert to previous versions if necessary, ensuring that creativity aligns with production standards.

Commenting and Feedback Mechanisms: Integrated tools for team members to leave comments and suggestions directly on the recipe, enhancing collaborative discussions.

Mobile Access: Available on mobile devices, allowing brewers to collaborate from anywhere, whether they are in the brewery or out in the community.

Foamly believes that by enhancing collaboration, breweries can significantly improve their product offerings while speeding up innovation cycles.

"Innovation is key to success in brewing, and our collaboration tool is designed to support team efforts and inspire new ideas," added Rowe.

To celebrate the launch, Foamly is organizing a virtual launch event on December 10, 2024, where breweries can explore the Recipe Collaboration Tool’s functionalities firsthand. Interested participants can register on the Foamly website to secure their spot.

For more information or to schedule an interview, please contact:

Laura Martinez, PR Manager

Email: press@foamly.com

Phone: (555) 123-4567

About Foamly:
Foamly is a premier cloud-based solution for the craft brewing industry, dedicated to helping breweries optimize operations, enhance quality, and cultivate community engagement. With a focus on innovative features and user-friendly technology, Foamly positions itself as a leader in supporting craft brewers on their journey to excellence.

Visit us at www.foamly.com for more information about our latest offerings and developments.

Create products with ease

Product Details

Personas

Green Brewer

Tech-Savvy Brewer

Local Brew Advocate

Product Ideas

Product Features

Alert Customization

Requirements

Alert Configuration Interface

Threshold Management

Alert History Log

Real-Time Alert Notifications

Integration with External Systems

Milestone Tracker

Requirements

Milestone Visualization

Milestone Notification System

Milestone History Log

Custom Milestone Definition

Milestone Analytics Dashboard

Team Accountability Role Definitions

Inventory Insights

Requirements

Real-time Inventory Tracking

Consumption Analytics Dashboard

Forecasting Model

Automated Reordering System

Inventory Audit Trail

Quality Checklist

Requirements

Digital Quality Checklist

Real-Time Compliance Monitoring

Analytics Dashboard for Quality Trends

Customizable Checklist Templates

Mobile Access to Quality Checklists

Emergency Notifications

Requirements

Real-time Alert System

Custom Alert Settings

Incident Reporting Dashboard

Integration with External Systems

User Role Management for Alerts

Mobile Alert Notifications

Sync & Share

Requirements

Real-time Notifications

User Role Management

Collaborative Messaging

Dashboard Customization

Audit Trail Tracking

Mobile Access Capability

Mobile Dashboard

Requirements

Real-time Data Sync

Customizable Metrics View

Alert System for Key Metrics

User Authentication and Security

Offline Access Capability

Carbon Footprint Calculator

Requirements

Energy Usage Input

Raw Material Sourcing Analysis

Carbon Footprint Summary Report

Recommendations for Emission Reduction

User-Friendly Interface for Data Entry

Waste Reduction Dashboard

Requirements

Visual Waste Tracking

Actionable Insights Generation

Waste Categorization Engine

Benchmarking and Goal Setting

Reports and Sharing Functionality

Resource Usage Tracker

Requirements

Real-time Resource Monitoring

Historical Data Analytics

Alert System for Resource Waste