SurveyQ

LiveSync Dashboard

A centralized, real-time dashboard presenting survey responses and collaborative edits as they happen. This feature empowers teams to monitor trends instantly, facilitating rapid, data-driven decisions and immediate adjustments in survey strategies.

Requirements

Instant Data Refresh

"As a market researcher, I want survey responses to appear instantly on the dashboard so that I can respond quickly to emerging trends during live surveys."

Description

Enable the dashboard to display new survey responses and collaborative edits in real-time by continuously polling and updating data from the backend. This feature minimizes latency between data submission and visualization, ensuring that users receive immediate and accurate insights for rapid decision-making.

Acceptance Criteria

Immediate Response Visualization

Given a new survey response, when it is submitted, then the dashboard must update automatically within 2 seconds by continuously polling the backend.

Collaborative Edit Sync

Given a collaborative survey edit, when an edit is made by one team member, then changes must be reflected in real-time on all users' dashboards.

Data Latency Minimization

Given a series of survey responses, when the data is polled from the backend, then the overall system latency should not exceed 3 seconds under normal operating conditions.

Error Handling on Data Fetch

Given a polling error from the backend, when the fetch fails, then an error must be logged and a retry mechanism must be automatically triggered without user intervention.

Concurrent Data Update Handling

Given simultaneous survey responses and collaborative edits, when data is being synchronized, then the system must handle concurrent updates without race conditions, ensuring accurate real-time display.

Collaborative Editing Sync

"As a team member, I want to see colleagues' edits as they happen so that we can effectively collaborate on survey adjustments without waiting for manual updates."

Description

Facilitate the synchronization of edits made by multiple team members in real-time so that all users see the latest version of a survey without conflicts. This integration ensures seamless collaboration by automatically merging changes, reducing version control issues, and enhancing team productivity.

Acceptance Criteria

Real-Time Edit Propagation

Given multiple users are connected to the LiveSync Dashboard, when a user makes an edit, then the change should appear on all users' screens within 2 seconds.

Conflict Resolution on Concurrent Edits

Given multiple team members edit the same survey question simultaneously, when the edits are merged, then the system must automatically combine changes using a predefined merge strategy and notify users of any conflict resolution.

User Notification of Edit Updates

Given a survey edit is performed by another team member, when a user is actively editing their survey, then a non-intrusive notification should appear indicating that new changes are available on the survey.

Audit Log for Synchronization Events

Given any edit event occurs on a survey, when an edit is synchronized across users, then an audit log entry with a timestamp, user identifier, and summary of changes must be recorded in the system.

Optimized Data Consistency Across Devices

Given users are accessing SurveyQ from multiple types of devices, when a survey is updated, then all instances (desktop, mobile, tablet) must display the updated version within 3 seconds.

Trend Analytics Panel

"As a market researcher, I want to view real-time trend analytics so that I can quickly identify key patterns and adjust our survey strategies effectively."

Description

Integrate a dynamic analytics panel into the dashboard that processes real-time survey data to generate visual insights and trend reports. This feature automatically updates visualizations as new data is received, empowering users to monitor patterns and adjust survey strategies based on live metrics.

Acceptance Criteria

Real-time Data Integration

Given the Trend Analytics Panel is active, when new survey data is received, then all visual insights are updated within 5 seconds with accurate representations.

Dynamic Visualization Updating

Given the analytics panel is processing live data, when any data change occurs, then the corresponding visualizations update automatically and correctly without manual refresh.

Collaborative Trend Monitoring

Given multiple team members are viewing the dashboard, when a data update is processed, then all user interfaces reflect the change in trends simultaneously.

Automatic Alert Generation

Given the trend analytics panel detects a significant deviation in survey data, when the deviation exceeds pre-set thresholds, then an automated alert is generated and clearly displayed on the dashboard.

Performance Under Load

Given a high volume of incoming survey responses, when the panel processes the data, then its performance remains stable with response times not exceeding 5 seconds and visualizations rendering accurately.

User Notification Alerts

"As a researcher, I want to receive real-time alerts about important survey events so that I can take immediate action when necessary."

Description

Implement a real-time notification system that alerts users to significant survey events, such as sudden changes in response volume or major collaborative updates. These notifications are designed to keep users informed and prompt necessary adjustments, ensuring the dashboard remains an effective tool for timely decision-making.

Acceptance Criteria

Response Spike Notification

Given an active survey, when the response volume increases by 50% above the average within a 10-minute window, then a notification is triggered to alert the user of the spike.

Collaborative Update Notification

Given a collaborative edit session is in progress, when a major survey update is performed by any team member, then all active users receive an immediate notification of the update.

Real-time Notification Delivery

Given a triggering survey event, when a notification is generated, then it must be delivered on the LiveSync Dashboard within 5 seconds and logged with an accurate timestamp.

User Customizable Notification Settings

Given the existence of a settings module, when a user customizes notification preferences (such as thresholds or delivery channels), then the notification alert system must adhere strictly to these customized settings.

Notification Dismissal and Acknowledgement

Given a notification is received on the dashboard, when the user either dismisses or acknowledges the notification, then the notification state is updated accordingly and removed from the active view.

Instant Collaboration Hub

An integrated communication platform within SurveyQ that enables team members to chat, annotate, and annotate survey data collaboratively. It fosters immediate feedback and seamless teamwork, ensuring that insights and ideas are shared as soon as new data is available.

Requirements

Real-Time Chat Integration

"As a market researcher, I want to chat with my team in real-time so that I can quickly discuss survey data and capture actionable insights immediately."

Description

Real-Time Chat Integration enables an instant messaging system within the Instant Collaboration Hub. This feature is designed to support direct team communication within SurveyQ, allowing users to engage in immediate, context-aware conversations alongside survey data editing. Its implementation integrates seamlessly with the survey interface to enable efficient decision making and minimize delays in feedback as new data emerges.

Acceptance Criteria

Basic Instant Messaging Activation

Given a user is logged in to SurveyQ, when they navigate to the Instant Collaboration Hub, then they should see the real-time chat interface available for immediate use.

Context-Aware Chat Plug-In

Given a team member is editing survey data, when they send or receive a chat message, then the chat interface should display context-relevant annotations alongside the survey data.

Inline Notifications for New Messages

Given a user is working within the survey interface, when a new chat message arrives, then a non-intrusive notification should alert the user without disrupting their ongoing activity.

Seamless UI Integration

Given the real-time chat system is active, when a user accesses any page of the SurveyQ interface, then the chat feature should be fully integrated and maintain consistent design without overlapping other components.

Real-time Message Delivery

Given multiple users are engaged in a chat session, when one user sends a message, then that message should appear on all active chat windows within 2 seconds.

Collaborative Annotation System

"As a team member, I want to collaboratively annotate survey data so that I can highlight important findings and communicate my insights effectively with my colleagues."

Description

The Collaborative Annotation System allows users to add, modify, and share annotations directly on survey data and visual reports. It is implemented to enable team members to highlight key trends, add contextual insights, and collaborate seamlessly on survey data analysis. This feature supports more efficient reviews and ensures critical observations are not lost amidst rapid data updates.

Acceptance Criteria

Real-Time Annotation Collaboration

Given a team member is reviewing survey data, when they add an annotation on the visual report, then the annotation is instantly visible to all connected users.

Annotation Editing and Versioning

Given an existing annotation on survey data, when a team member modifies the annotation, then the system updates the annotation while preserving a version history.

Annotation Sharing Across Teams

Given an annotation has been created on key data points, when the survey data is shared with other team members, then all annotations are displayed alongside the corresponding data.

Contextual Data Linking with Annotations

Given a team member is annotating a chart or report, when they link the annotation to specific data points or trends, then the annotation is contextually anchored for precise tracking.

Collaborative Notification for New Annotations

Given a new annotation is added, when team members are actively using the platform, then they receive a real-time notification of the new annotation to ensure timely feedback.

Instant Notification Alerts

"As a researcher, I want to receive instant notifications so that I am immediately aware of new comments and updates, ensuring I never miss critical information."

Description

Instant Notification Alerts provide real-time updates to users whenever a relevant event, such as new chat messages or annotations, occurs within the collaboration hub. This feature ensures prompt awareness and response, keeping all team members informed and engaged with the latest survey developments as they happen.

Acceptance Criteria

Real-Time Chat Notification

Given a user is active in the Collaboration Hub, when a new chat message is posted, then an instantaneous notification alert is displayed on the user's device.

Annotation Alert Mechanism

Given a survey annotation is created, when the event is detected in the Collaboration Hub, then all designated users receive a real-time notification alert.

Event-Specific Notification Filtering

Given user preferences are configured, when new events occur in the Collaboration Hub, then only the notifications relevant to the user's filter criteria are triggered.

Data Synchronization and Backup

"As a market researcher, I want my collaboration data to be synchronized and backed up so that I can access a reliable record of team communications and annotations from any device at any time."

Description

Data Synchronization and Backup ensures all collaborative interactions, including chats and annotations, are automatically synced across all user devices and securely stored. This capability guarantees consistency and reliability of data, providing a robust recovery option and maintaining a complete history of collaborative input regardless of device or session interruptions.

Acceptance Criteria

Real-Time Synchronization

Given a user updates a chat or annotation, when the update is made, then the data is automatically synced across all connected devices within 5 seconds.

Automatic Backup Post-Session

Given a collaborative session has ended or becomes idle, when the session is closed or timeout is reached, then all interactions are automatically backed up to a secure server with zero data loss.

Simultaneous Update Conflict Resolution

Given multiple users edit the same content concurrently, when a conflict is detected, then the system resolves the conflict using the latest timestamp and notifies users of the change.

Seamless Data Recovery

Given a device interruption or loss of connectivity, when the user reconnects, then the system restores the most recent data backup within 10 seconds ensuring no loss of collaborative interactions.

Comprehensive Data History Verification

Given a request for the audit log, when the history is retrieved, then the system provides a complete, chronologically ordered log of all collaborative inputs with relevant metadata.

Trend Tracker

A visual analytics tool that dynamically highlights emerging market trends with intuitive charts and graphs. By providing real-time insights, it assists researchers in quickly identifying patterns and adjusting their research strategies on the fly.

Requirements

Real-Time Analytics Dashboard

"As a market researcher, I want to view real-time trend data so that I can quickly identify emerging market patterns and adjust my research focus immediately."

Description

Implement a visual analytics dashboard within Trend Tracker that updates in real-time to display live data trends using intuitive charts and graphs, ensuring researchers have immediate insights to adjust strategies.

Acceptance Criteria

Dashboard Real-time Data Feed

Given the user is viewing the dashboard, when new survey data is submitted, then the dashboard should update the charts to reflect the latest data within 2 seconds.

User Interface Intuitiveness

Given the user interacts with the dashboard, when hovering over or clicking on any chart element, then contextual tooltips and detailed data should appear clearly.

Dynamic Chart Refresh Efficiency

Given the dashboard is live, when underlying survey data updates, then the charts should auto-refresh seamlessly without requiring any manual reload.

Real-Time Alert Notifications

Given the dashboard monitors real-time data trends, when specified data thresholds are exceeded, then the system should trigger an alert notification on the dashboard.

Cross-browser Compatibility

Given users access the dashboard from various browsers, when visualizing real-time analytics, then all dashboard features and updates should function consistently across supported browsers.

Interactive Trend Filters

"As a market researcher, I want to apply custom filters to the trend data so that I can narrow down insights to the most relevant segments of my audience."

Description

Develop interactive filtering options that enable users to dynamically adjust the visible data based on specific time frames, demographics, or market segments, improving the precision of trend identification within the Trend Tracker.

Acceptance Criteria

Dynamic Filtering Interaction

Given a user is on the Trend Tracker dashboard, when they select specific time frames, demographics, or market segments using the interactive filters, then the displayed trend data updates dynamically in real-time reflecting the selected criteria.

Real-Time Analytics Sync

Given a user adjusts any filter option, when the new filters are applied, then all related charts and graphs update instantly to display data that accurately corresponds to the selected filters.

User-Friendly Interface Validation

Given a user accesses the filter section within Trend Tracker, when they interact with the filtering options, then the user interface should provide clear visual cues, immediate feedback, and maintain an intuitive layout that facilitates easy corrections and adjustments.

Customizable Data Visualizations

"As a market researcher, I want to customize my data visualizations so that I can present the insights in a format that best suits my reporting style."

Description

Enable users to customize chart types, labels, colors, and formats within the Trend Tracker, allowing them to tailor the visual output to align with their research presentation needs and personal preferences.

Acceptance Criteria

Customization of Chart Appearance

Given a logged-in user accesses Trend Tracker, when they select different chart types, adjust labels, colors, and formats, then the visualizations should update immediately reflecting these changes.

Real-time Preview of Changes

Given a user makes customization changes in the chart settings, when the modifications are applied, then a live preview should display the updated chart in real time.

Saving Custom Visualization Templates

Given a user customizes a chart to their preference, when they save the configuration as a template, then the system must store it and allow retrieval and application in future sessions.

Reset to Default Settings

Given a user is editing a customized chart, when they click on the 'Reset' option, then the chart should revert back to its default settings without errors.

Compatibility Across Devices

Given a user accesses Trend Tracker on various devices, when they customize and view visualizations, then the customized charts must maintain consistency across web and mobile interfaces.

Automated Trend Alerts

"As a market researcher, I want to receive automated alerts on emerging trends so that I can promptly adjust my research strategy and capitalize on new opportunities."

Description

Integrate an alert system that automatically notifies users of significant market trend changes or anomalies detected by the system, ensuring timely response and decision-making.

Acceptance Criteria

Real-time Notification

Given the system is actively monitoring market trends, When a significant anomaly is detected, Then an immediate alert is sent to the user via the designated notification channel.

Customizable Alert Settings

Given a user is in the settings panel, When they configure alert thresholds and preferences, Then the system incorporates these settings to filter and trigger automated trend alerts accordingly.

Alert Accuracy

Given historical market data and established parameters, When an alert is generated, Then the system should reflect real market changes with an accuracy of at least 95%.

Consistent Delivery

Given the system is under load, When multiple trend alerts are triggered simultaneously, Then all alerts should be queued and delivered within 5 seconds to ensure timely response.

User Acknowledgement

Given a trend alert is received, When the user views the alert, Then they must have the option to mark it as acknowledged, and the system logs the acknowledgment with a timestamp.

Alert Insights

An automated alert system that sends real-time notifications when significant changes or spikes in survey responses are detected. This proactive feature enables teams to react immediately to noteworthy trends or anomalies, ensuring no critical data is missed.

Requirements

Real-Time Data Monitoring

"As a market researcher, I want to receive immediate notifications when there are significant changes in survey responses so that I can quickly investigate and respond to emerging market trends."

Description

This requirement focuses on continuously monitoring incoming survey response data in real-time to detect significant changes or spikes. It integrates with the survey response data pipelines and analytics engine to ensure immediate identification of noteworthy trends, enabling teams to act swiftly on any emerging anomalies.

Acceptance Criteria

Detect Significant Response Spike

Given real-time survey responses are streamed, when a spike greater than the defined threshold is detected, then an alert is automatically triggered with detailed analytics.

Monitor Continuous Data Flow

Given the active survey response data pipeline, when continuous data monitoring is in place, then the system logs significant changes and maintains performance within acceptable limits.

Real-time Notification Delivery

Given the detection of an anomaly in survey responses, when the system confirms a critical trend, then a real-time notification is sent immediately to the designated team channels.

Integration with Social Media

Given survey responses received via social media platforms, when significant changes or anomalies are detected, then these are accurately merged into the alert system and trigger appropriate notifications.

Analytics and Trend Reporting

Given ongoing monitoring of survey responses, when a noteworthy trend is identified, then detailed real-time analytics reports and visual graphs are generated for immediate review by the team.

Alert Customization Settings

"As a market researcher, I want to customize alert settings so that I receive notifications only for the events that matter most, minimizing noise and focusing on key insights."

Description

This requirement enables users to customize alert parameters including threshold values, frequency, and specific criteria for triggering notifications. It allows market researchers to tailor alerts to their unique needs, reducing unnecessary notifications and ensuring focus on the most critical data shifts.

Acceptance Criteria

Threshold Adjustment Scenario

Given a user configures an alert, when they set custom threshold values, then the alert is triggered only when survey response changes meet or exceed those thresholds.

Frequency Customization Scenario

Given a user sets the alert frequency preferences, when survey responses match the alert criteria repeatedly, then notifications are sent based on the specified frequency without redundant alerts.

Criteria-Specific Alert Triggering Scenario

Given a user defines specific criteria for alerts, when incoming survey data satisfies these criteria, then the system triggers a notification clearly indicating the precise data anomaly.

Alert Customization Summary Scenario

Given a user reviews their alert settings, when they access the customization summary, then the system displays all configured parameters accurately and in a user-friendly format.

Real-time Alert Notification Scenario

Given that survey data exhibits significant changes, when the system detects these changes in real time, then a notification is immediately sent with the appropriate alert details and timestamp.

Notification Delivery System

"As a researcher, I want alerts to be delivered reliably through various channels so that I can stay informed in real-time, no matter which device I am using."

Description

This requirement defines the mechanism for delivering alerts through multiple channels, such as email, SMS, and in-app notifications. It emphasizes reliability and promptness, ensuring that alerts are immediately accessible to users regardless of their preferred method of communication.

Acceptance Criteria

Real-Time Email Alert Delivery

Given a significant survey response spike, When the Notification Delivery System is triggered, Then an email alert should be sent within 30 seconds.

Instant SMS Notification Delivery

Given a detected anomaly in survey responses, When the alert is generated, Then an SMS notification must be delivered to the user within 20 seconds.

In-App Notification Delivery Experience

Given that the user is actively using the SurveyQ app, When a significant change is detected, Then an in-app notification should be displayed immediately with a response time of less than 15 seconds.

Multi-Channel Delivery Reliability

Given the detection of a response anomaly, When alerts are dispatched, Then all designated channels (email, SMS, in-app) must receive the alert promptly, with no channel experiencing a delay exceeding 5 seconds compared to others.

User Preference Based Notification Channel

Given a user's notification preferences, When an alert is generated, Then the system should deliver the alert only via the user's selected channel(s) and confirm successful delivery on that channel.

Historical Trend Analysis Trigger

"As a researcher, I want alerts to incorporate historical trend analysis so that I only receive notifications when there are meaningful deviations from past performance."

Description

This requirement involves implementing a mechanism that compares current survey response data with historical trends to determine if changes represent statistically significant deviations. This contextual analysis helps in reducing false positives and ensures that alerts are relevant and actionable.

Acceptance Criteria

Historical Data Comparison Trigger

Given current survey response data and established historical trends, when current data deviates by a statistically significant threshold (e.g., 2 standard deviations) from the historical average, then the system triggers an alert notification.

False Positive Minimization

Given the alert system operating on historical trend analysis, when transient spikes with low statistical significance occur, then the system ensures that no alert is triggered to avoid false positives.

Real-Time Alert Notification

Given that a significant deviation is validated, when the alert is triggered based on historical trend analysis, then the system sends a real-time notification to the designated users and logs the event for further analytics.

Statistical Significance Confirmation

Given incoming survey data, when the historical trend analysis algorithm runs, then it must confirm statistical significance through appropriate tests (e.g., t-test or z-score) before triggering any alert.

Dashboard Integration for Alerts

"As a data analyst, I want to view and manage alerts from within the dashboard so that I can efficiently monitor ongoing trends without switching between platforms."

Description

This requirement focuses on integrating the alert insights directly into the SurveyQ dashboard. It provides users with a consolidated view of active alerts and historical alert logs, thereby streamlining alert management and facilitating quick analysis and response within a single interface.

Acceptance Criteria

Real-time Notification Display

Given that the alert system detects significant survey response changes, when the conditions are met, then the alert appears on the SurveyQ dashboard in real-time.

Historical Alert Log Access

Given that a user navigates to the alert section, when they request past alerts, then the complete history is displayed and can be filtered by date and alert type.

Consolidated Alert Management Interface

Given that multiple alerts are generated for various events, when a user accesses the dashboard, then all active alerts are consolidated into a single, easy-to-navigate interface.

Automated Alert Dismissal and Acknowledgment

Given that a user receives an alert, when they select the acknowledge or dismiss option, then the alert state updates in real-time on the dashboard.

Alert Analytics and Trend Visualization

Given that a user reviews the alert analytics section, when they access trend and statistical data, then the dashboard displays accurate graphs and metrics reflecting alert history and trends.

Sync Scheduler

A scheduling feature that allows teams to set up synchronized data refreshes and collaborative sessions based on real-time triggers. It ensures all stakeholders are updated with the most current insights, driving coordinated and timely responses to evolving market trends.

Requirements

Real-Time Data Sync

"As a market researcher, I want my survey data to refresh automatically in real time so that I always have access to the most current insights without manual intervention."

Description

This requirement ensures that survey data, social media updates, and analytical metrics are refreshed in real time via an efficient scheduling system that monitors and triggers automatic data updates. It streamlines the process by eliminating manual refresh efforts and guarantees that all stakeholders have immediate access to the most current information, facilitating faster and more informed decision-making. The feature seamlessly integrates with SurveyQ’s existing automated tools and analytics platform to maintain data consistency and reliability.

Acceptance Criteria

Automated Data Refresh Trigger

Given survey data updates and social media inputs, when the system receives new data, then the Sync Scheduler shall automatically trigger a real-time data sync across all integrated platforms, updating dashboards immediately.

Coordinated Stakeholder Update

Given that stakeholders have scheduled collaborative sessions, when a real-time trigger occurs, then the system must send automated notifications through predefined channels with a summary of the updated data.

Error Handling and Data Consistency

Given a real-time data sync is in progress, when data inconsistencies or errors are detected, then the system must log the error, rollback partial updates, and notify the technical team with detailed error information.

Collaborative Session Initiation

"As a team leader, I want to schedule collaborative sessions that align with real-time data updates so that my team can review and discuss the latest insights together."

Description

This requirement enables teams to schedule synchronized collaborative sessions where updated data is reviewed collectively. It organizes and automates session planning based on real-time data triggers, ensuring that all team members engage simultaneously with fresh insights. This coordinated approach not only improves decision-making efficiency but also enhances communication and collaboration within the team. The feature is designed to integrate seamlessly within SurveyQ, linking with the real-time data sync and core analytics components.

Acceptance Criteria

Real-Time Data Trigger Activation

Given updated data is received and a trigger threshold is met, when the system identifies the trigger event, then an automatic collaborative session scheduling should be initiated notifying all team members with fresh data insights.

Collaborative Session Confirmation Flow

Given a scheduled session is available, when team members log in to SurveyQ, then they should receive a session notification and be able to confirm their attendance through the integrated user interface.

Automated Session Rescheduling

Given insufficient confirmations for a scheduled session, when the system detects a lack of quorum following a trigger event, then it should automatically trigger a rescheduling prompt based on the next real-time data update.

Customizable Trigger Configuration

"As an advanced user, I want to configure custom triggers for data refreshing so that I can tailor the scheduling to the specific timings and milestones of my campaigns."

Description

This requirement provides users with the ability to set up custom triggers that initiate data refreshes and collaborative sessions. It allows the configuration of specific conditions, such as high survey response rates or preset time intervals, to automate the scheduling process. By incorporating flexible trigger settings, this feature enhances the responsiveness and customization of data updates, reducing the need for manual oversight and aligning the update process with diverse campaign requirements. The configuration integrates directly with the core functionality of SurveyQ, enabling tailored automation that meets varied market research needs.

Acceptance Criteria

Custom Trigger Setup for High Survey Response

Given a user accesses the custom trigger configuration, When they set a trigger for high survey response rates by inputting a numeric threshold, Then the system must validate the threshold, enable scheduling, and display a confirmation message.

Time Interval Based Trigger Scheduling

Given a user selects the time interval trigger option, When they define a time interval for scheduling data refreshes, Then the system must schedule automatic refreshes and collaborative sessions at specified intervals, and send notifications accordingly.

Real-Time Data Refresh upon Trigger Activation

Given a trigger condition is met, When the custom trigger activates, Then the system must refresh data and update the collaborative dashboard in real time with minimal latency.

Collaborative Session Initiation via Custom Trigger

Given a custom trigger configured for initiating collaborative sessions, When the trigger conditions are fulfilled, Then the system must automatically initiate a session and send alerts to all relevant stakeholders.

Error Handling and Notification for Trigger Failures

Given a configured trigger fails to initiate due to misconfiguration or system error, When an error is detected, Then the system must display an error message to the user and log the incident for further troubleshooting.

AutoPost Scheduler

Automatically determines the optimal times for social media postings and schedules survey posts across various platforms. This feature ensures that your surveys get maximum visibility and engagement without manual planning, freeing up your time to focus on data analysis.

Requirements

Optimal Posting Time Calculation

"As a market researcher, I want the system to automatically determine the best times to post my surveys on social media so that I can maximize engagement without manual trial and error."

Description

The system shall automatically analyze historical engagement data from integrated social media platforms to calculate optimal posting times that maximize survey visibility and response rates for each survey. This feature leverages real-time and historical analytics to adapt scheduling dynamically, ensuring that survey posts reach the target audience when they are most likely to engage.

Acceptance Criteria

Historical Data Analysis for Optimal Time Calculation

Given a survey with historical engagement data, when the AutoPost Scheduler analyzes the data, then the system shall calculate recommended posting times based on metrics like likes, shares, and comments.

Real-Time Data Adaptation

Given recent real-time engagement metrics, when there is a significant change in social media activity, then the system shall dynamically update the optimal posting times for survey posts.

Integration Across Multiple Platforms

Given integrated social media platforms, when the scheduler performs the optimal posting time calculation, then the system shall aggregate data from each platform and deliver a unified optimal posting schedule for the survey.

Performance and Accuracy Metrics

Given the need for real-time analytics, when the system calculates the optimal posting time, then the calculation should complete within 2 seconds and provide a confidence score based on engagement trends.

Edge Case for Insufficient Data

Given a survey with limited historical data, when the system cannot derive robust engagement metrics, then it shall default to a pre-configured best practice posting time and flag the survey for manual review.

Multi-Platform Post Scheduling

"As a market researcher, I want to schedule my survey posts across multiple platforms simultaneously so that I can ensure reputability and consistency in my campaign outreach."

Description

The feature will support scheduling and deployment of survey posts across multiple social media platforms including Facebook, Twitter, and LinkedIn, ensuring uniform timing and optimized post formats for each channel. It will integrate with user accounts to streamline posting processes, reducing manual setup and improving campaign consistency.

Acceptance Criteria

Unified Scheduling Efficiency

Given a user selects multiple social platform accounts, when scheduling posts, then the system should generate a unified calendar view displaying the correct schedule for all platforms. Given the scheduled time arrives, when the post is triggered, then each platform should receive the correctly formatted post.

Correct Post Format Handling

Given a scheduled post, when deploying across Facebook, Twitter, and LinkedIn, then the system should automatically adjust the post’s format according to each platform’s guidelines (e.g., image size, character limits).

Real-Time Social Media Integration

Given user credentials are provided, when the system integrates with social media accounts, then it should successfully authenticate and display all connected accounts along with relevant posting permissions.

Error Handling on Post Failure

Given a failed post attempt on any platform, when an error is detected during posting, then the system should display an error message indicating the specific platform failure and log the error for review.

User Notification on Successful Post Scheduling

Given that a survey post has been scheduled across all selected social media platforms, when the scheduling process completes successfully, then the user should receive a confirmation notification summarizing the scheduled posts.

Real-Time Engagement Analytics

"As a market researcher, I want to see real-time analytics on my survey posts so that I can quickly adjust my strategy to improve results."

Description

This requirement involves integrating real-time data analytics to monitor post performance and survey responses as they occur. The analytics tool shall provide actionable insights on engagement rates, audience interaction, and performance trends, enabling adjustments to post scheduling and content strategies in a timely manner.

Acceptance Criteria

Initial Dashboard Visualization

Given the real-time analytics module is deployed, when a survey post is published, then the dashboard must update with engagement metrics within 5 seconds.

High Volume Data Handling

Given the system receives a high volume of survey responses, when data is processed concurrently, then the analytics system must maintain accuracy with less than 1% error margin.

Scheduled Analytics Update

Given the AutoPost Scheduler triggers posts at optimal times, when automatic updates occur, then the real-time analytics should reflect the latest audience interaction and performance trends accurately.

Engagement Notification Alerts

Given a survey post experiences an abnormal spike or drop in engagement, when threshold levels are met or exceeded, then the system must send a notification to the admin for timely adjustments.

Historical vs Real-Time Data Comparison

Given an admin reviews post performance analytics, when comparing historical data with current real-time metrics, then the system should display consistent trends and highlight significant divergences for actionable insights.

Automated Scheduling Confirmation Notifications

"As a market researcher, I want to receive confirmation notifications for each scheduled survey post so that I can be assured that my social media strategy is executed correctly."

Description

The system should send automated notifications to the user confirming that survey posts have been scheduled successfully, including details on the scheduled time and platform. This requirement ensures communication transparency and allows users to verify that their posts will go live as planned.

Acceptance Criteria

Successful Notification Dispatch

Given a scheduled post event, when the post is successfully scheduled, then the system sends an automated notification with confirmation details including scheduled time and platform.

Notification Content Accuracy

Given a survey post scheduling event, when a confirmation notification is generated, then the notification includes accurate details such as the scheduled time, platform, and survey identifier.

Rescheduling Update Notification

Given that a scheduled post is modified, when the rescheduling occurs, then the system sends an updated notification with the revised time and platform details.

Missed Scheduling Alert

Given a failure in the automated scheduling process, when a scheduling error occurs, then the system sends an alert notification to the user detailing the error and pending actions required.

Notification Delivery Confirmation

Given that a notification has been sent, when delivery is completed, then the system logs the delivery status along with a timestamp and confirmation details.

Error Logging and Rescheduling Mechanism

"As a market researcher, I want the system to handle posting errors automatically and notify me of any issues so that I can maintain a smooth survey distribution process."

Description

The feature must incorporate robust error logging to track any scheduling or posting failures and automatically initiate a rescheduling mechanism for failed attempts. This provides resilience by ensuring every survey post is attempted until successful and enables troubleshooting of persistent issues.

Acceptance Criteria

Simulated Post Failure Logging

Given a survey post fails due to a network error, when the failure occurs, then the system should log the error with details including timestamp, error type, and affected survey ID.

Automated Rescheduling Process

Given an error is logged for a failed survey post, when the system detects the error, then it should automatically reschedule the post for the next available optimal time slot without manual intervention.

Persistent Failure Notification

Given that a survey post fails consecutively for three attempts, when this threshold is reached, then the system must notify the system administrator with a detailed error report and rescheduling history.

Error Log Data Integrity Verification

Given an error event occurs during the posting process, when the error is logged, then the system must ensure that the error details are stored securely in a queryable format for future analysis.

Success Confirmation after Rescheduling

Given that a previously failed survey post has been rescheduled, when the post is successfully completed, then the system should mark the corresponding error log as resolved and update the system status accordingly.

Hashtag Optimizer

Leverages trending data to suggest the best-performing hashtags related to your survey content. The Hashtag Optimizer enhances discoverability on social media, driving organic reach and boosting engagement rates effortlessly.

Requirements

Trending Hashtag Data Integration

"As a market researcher, I want SurveyQ to automatically pull trending hashtag data so that my surveys align with current social media trends, maximizing their organic reach."

Description

Integrates real-time trending topics from major social media platforms into SurveyQ to ensure that hashtag suggestions remain current and relevant. This requirement fetches and processes trending data at regular intervals, providing the foundation for accurate, market-driven recommendations that enhance survey discoverability and user engagement.

Acceptance Criteria

Real-Time Trending Fetch

Given SurveyQ initiates a scheduled query to the social media API, When the data is fetched, Then trending hashtags must update within 5 seconds, ensuring data freshness.

Accurate Trending Data Mapping

Given the system retrieves trending topics from multiple social media platforms, When the data is processed, Then the corresponding hashtag suggestions must be accurately correlated with current trends and relevant to survey content.

Scheduled Data Refresh Functionality

Given a predefined refresh interval is set, When the interval elapses, Then the system automatically initiates a data fetch and updates the trending hashtag list without manual intervention.

Error Handling for API Failures

Given an API failure or timeout occurs during trending data fetch, When the error is detected, Then the system must log the error and fallback gracefully to the most recent valid data, alerting the admin if necessary.

Seamless Integration with Hashtag Optimizer

Given the Hashtag Optimizer processes survey content, When it accesses trending hashtag data, Then it should display current and relevant hashtag options to enhance survey discoverability on social media.

Intelligent Hashtag Suggestions

"As a market researcher, I want SurveyQ to suggest optimized hashtags based on my survey content so that my surveys are more discoverable and engaging on social media."

Description

Implements a sophisticated algorithm that analyzes survey content and correlates it with trending topics to generate tailored hashtag suggestions. This feature integrates directly into the survey creation process, providing users with actionable, optimized recommendations that drive higher engagement and accessibility on social media platforms.

Acceptance Criteria

Real-time Hashtag Suggestion Generation

Given survey content input on the creation page, when the 'Generate Hashtag Suggestions' button is clicked, then the system must analyze trending topics and return a list of at least 5 relevant hashtag suggestions within 5 seconds.

Validation of Hashtag Relevance

Given the system-generated list of suggested hashtags, when the user reviews the suggestions, then each hashtag must have an associated relevance score above 70% that correlates with trending topics and survey content.

User Usage Analytics for Hashtag Suggestions

Given that hashtag suggestions are applied to a survey, when the survey is published and shared on social media, then the system must record performance metrics such as engagement rate and click-through rate for each suggested hashtag for ongoing analysis.

Hashtag Relevance Scoring

"As a market researcher, I want to view relevance scores for each suggested hashtag so that I can make informed choices to enhance my survey's reach."

Description

Develops a scoring mechanism that evaluates suggested hashtags based on engagement potential, popularity, and contextual relevance. This requirement enables users to assess the effectiveness of each hashtag, providing data-driven insights that help in selecting the most impactful hashtags for boosting survey visibility.

Acceptance Criteria

Real-Time Scoring Update

Given that a survey content is provided by the user, When the hashtag optimizer fetches trending data, Then the system must update and display hashtag scores within 1 second.

Contextual Relevance Verification

Given a survey with specific keywords and context, When the hashtag relevance scoring mechanism evaluates suggested hashtags, Then each hashtag should be assigned a relevance score where scores above 0.75 indicate strong contextual match.

Engagement Potential Accuracy

Given historical engagement data for similar surveys, When the system calculates engagement potential for each hashtag, Then the computed scores must not deviate more than ±5% from the manually validated benchmark scores.

Social Media Integration Validation

"As a market researcher, I want to know that the suggested hashtags work seamlessly across different social platforms so that I can confidently rely on SurveyQ to maximize my survey's organic reach."

Description

Establishes a robust testing and validation framework to ensure that suggested hashtags perform effectively across multiple social media platforms. This requirement confirms the compatibility and effectiveness of hashtag suggestions in real-world environments, thereby safeguarding the reliability of SurveyQ's social media integration.

Acceptance Criteria

Twitter Engagement Validation

Given a survey scheduled for posting, when the Social Media Integration process applies hashtag suggestions on Twitter, then the suggested hashtags must achieve at least a 30% increase in engagement compared to baseline posts.

Instagram Reach Verification

Given a survey with associated hashtag suggestions, when the hashtags are published on Instagram, then the platform analytics must report a minimum organic reach boost of 30% over previous posts without optimized hashtags.

Real-time Analytics Accuracy

Given a social media post employing the optimized hashtags, when real-time performance data is captured, then the analytics must reflect performance metrics that match internal data within a 5% margin of error.

Fallback Algorithm Effectiveness

Given a scenario where a suggested hashtag is found outdated or non-trending, when the system detects an anomaly, then the fallback algorithm must automatically propose an alternative hashtag with a verified trending status.

Targeted Ad Creator

Utilizes demographic and interest-based analytics to craft customized social media ads aimed at specific audience segments. This feature maximizes response rates by ensuring your survey reaches the most relevant and engaged users.

Requirements

Demographic Data Integration

"As a market researcher, I want the system to automatically gather and process demographic data so that I can target survey ads to the most relevant audience segments without manual data entry."

Description

Integrate a robust API connection to social media platforms to automatically retrieve and normalize demographic and interest-based analytics. This data will be instrumental in segmenting survey audiences and tailoring ad campaigns, ensuring that survey invitations reach the most relevant users. The integration must support multiple platforms, allow for scheduled data refreshes, and ensure data accuracy and consistency within the product's ecosystem.

Acceptance Criteria

API Connection Stability

Given the social media API endpoints are available, when the integration module attempts to establish a connection, then the connection must be successful and maintain a 99% uptime over a 24-hour period.

Scheduled Data Refresh

Given a predefined schedule, when the system triggers a data refresh, then new data must be retrieved and normalized from all connected social media platforms within 2 minutes of each scheduled interval.

Multi-Platform Support

Given multiple social media platforms, when the API integration is initiated, then the system must successfully ingest and normalize data from each platform according to specified criteria.

Data Normalization and Consistency

Given raw demographic and interest-based data, when the system processes the information, then the normalized data must adhere to the predefined schema with less than a 1% error rate in inconsistencies or duplicates.

Targeted Ad Creator Integration Impact

Given the normalized demographic data, when the Targeted Ad Creator feature utilizes the analytics, then ad campaigns must accurately segment users and reflect the latest data, ensuring enhanced targeting performance.

Custom Ad Creative Generator

"As a market researcher, I want the system to automatically create ad variations tailored to different audience segments so that I can maximize engagement and survey response rates."

Description

Develop a dynamic creative engine that leverages demographic insights to generate multiple versions of ad creatives. This engine should allow customization of text, imagery, and call-to-action elements, ensuring that each demographic segment receives relevant and engaging ad content. The generator must integrate with existing design templates and support A/B testing to continually refine ad effectiveness.

Acceptance Criteria

Ad Creative Generation for Demographics

Given a target demographic segment is selected, When the creative engine is triggered, Then it must generate at least three distinct versions of ad creatives with customizable text, imagery, and call-to-action elements.

Template Integration Validation

Given a predefined set of design templates, When the ad creative is generated, Then the system must integrate the selected template while allowing modifications to text, imagery, and call-to-action components.

A/B Testing Functionality Check

Given an active A/B testing configuration, When multiple ad creative versions are produced, Then the system must support simultaneous testing and accurately record performance metrics for iterative optimization.

Real-Time Analytics Dashboard

"As a market researcher, I want real-time access to performance data so that I can quickly assess the effectiveness of my targeted ad campaigns and make necessary adjustments."

Description

Create a comprehensive dashboard that displays live performance metrics for targeted ad campaigns, including impressions, click-through rates, conversion rates, and more. The dashboard should offer dynamic filters and visualizations that allow users to drill down by demographic segments, providing actionable insights and enabling rapid campaign adjustments to improve survey response outcomes.

Acceptance Criteria

Dashboard Real-Time Data Update

Given the dashboard is open, when live ad campaign data is received, then the display updates within 5 seconds to reflect current impressions, click-through rates, and conversion metrics.

Interactive Filters

Given the user has access to dynamic filters, when the user selects specific demographic or interest segments, then the dashboard updates to show filtered results accurately without delay.

Data Drill Down Functionality

Given a summary metric is displayed, when the user clicks on the metric, then the system drills down into detailed data segmented by demographics, providing a detailed breakdown within a modal or subpage.

Visualization Clarity

Given various visualizations on the dashboard, when the dashboard renders, then all charts and graphs must be clear, labeled correctly, and interactive as per design specifications.

Real-Time Metrics Performance

Given the ad campaigns are active, when the dashboard is accessed, then all performance metrics (impressions, click-through rates, conversion rates) update in real-time ensuring actionable insights are available.

Automatic Budget Allocation

"As a market researcher, I want the system to automatically adjust my ad spend based on performance data so that I can optimize my campaign budget without constant oversight."

Description

Implement a smart budgeting tool that uses real-time performance data and demographic engagement metrics to dynamically allocate advertising spend. The tool should adjust budgets based on pre-set performance thresholds to maximize return on investment while ensuring the overall campaign stays within budget constraints. This functionality will reduce the need for manual budget adjustments and optimize ad spend efficiency.

Acceptance Criteria

Real-Time Budget Adjustments

Given a continuous real-time performance data feed, when the tool detects that a pre-set performance threshold is reached, then it must automatically reallocate the advertising budget based on current demographic engagement metrics.

Demographic Targeting Validation

Given targeted demographic metrics, when the tool processes updated engagement data, then it must prioritize budget allocation towards audience segments with higher engagement while ensuring that overall campaign limits are maintained.

Campaign Budget Constraint Management

Given predefined campaign budget constraints, when the tool dynamically adjusts ad spend, then it should ensure that the total spend does not exceed the allocated campaign budget while optimizing the allocation based on performance thresholds.

Engagement Metrics Dashboard

Provides real-time analytics and insights on social media interactions, tracking key engagement metrics such as likes, shares, comments, and click-through rates. This dashboard empowers users to adjust strategies swiftly to optimize survey response outcomes.

Requirements

Real-time Data Visualization

"As a market researcher, I want real-time visualization of engagement metrics so that I can immediately adjust my survey strategies for optimal responses."

Description

Implement a dashboard component that visualizes social media engagement data, such as likes, shares, comments, and click-through rates, in real-time. This feature will provide immediate visual feedback, empowering users to quickly gauge the performance of their surveys and adapt strategies based on the latest data. It integrates with SurveyQ's existing automated tools to ensure continuous data flow and dynamic updates.

Acceptance Criteria

Real-Time Data Visualization on Dashboard

Given the dashboard is loaded, when social media engagement data is received, then the dashboard must update the visualization with no more than a 2-second delay.

Data Integration with Automated Tools

Given a new survey is launched, when data begins flowing from connected social media sources, then the system should integrate and display the incoming engagement data dynamically.

Accuracy of Engagement Metrics

Given the system is receiving continuous updates, when comparing displayed metrics to the backend data store, then the values for likes, shares, comments, and click-through rates must match within a 2% margin of error.

Responsive Dashboard Interaction

Given that a user is interacting with the dashboard, when the user selects a particular metric or time range, then the dashboard should immediately filter and display detailed data for that selection in real time.

Seamless Cloud Integration for Continuous Updates

Given SurveyQ's automated tools are active, when social media data is streamed, then the dashboard must continuously reflect the most recent data without requiring a manual refresh.

Customizable Metrics Filters

"As a market researcher, I want to customize my metrics view so that I can focus on the most pertinent data for effective analysis and decision-making."

Description

Develop a robust filtering system within the dashboard that lets users tailor their view of engagement metrics. The filters will enable selection by date range, specific social media platforms, and types of engagement, ensuring that research efforts are focused on the most relevant data. This will enhance strategic decision-making by delivering precise, targeted insights based on user-defined criteria.

Acceptance Criteria

Custom Date Range Filter

Given the user is on the Engagement Metrics Dashboard, when they select a custom date range, then the dashboard displays data solely for the specified period.

Platform Specific Filter

Given the user is on the Engagement Metrics Dashboard, when they select one or more specific social media platforms, then the dashboard displays engagement metrics only from the selected platforms.

Engagement Type Filter

Given the user is on the Engagement Metrics Dashboard, when they apply a filter by engagement type (likes, shares, comments, click-through), then the dashboard updates to display only the selected metrics.

Combined Filters Application

Given the user applies multiple filters simultaneously (date range, platform, and engagement type), when the filters are submitted, then the dashboard shows the intersection of all selected criteria.

Reset Filters Action

Given that filters are applied on the Engagement Metrics Dashboard, when the user clicks the reset button, then all filters should revert to their default settings and the dashboard displays overall engagement metrics.

Responsive Alert Notifications

"As a market researcher, I want to receive instant alerts based on key engagement thresholds so that I can quickly respond to changes and optimize my survey outcomes."

Description

Implement a configurable alert notification system that triggers when engagement metrics exceed or fall below predetermined thresholds. Users can set custom criteria for alerts, which will be delivered through the dashboard and via email. This functionality ensures that critical changes in survey performance are immediately communicated, thus allowing swift intervention and strategy adjustment.

Acceptance Criteria

Email Alert Trigger

Given a user has configured a custom engagement threshold, When the engagement metrics exceed or fall below the set threshold, Then an alert notification is immediately sent via email and appears on the dashboard.

Dashboard Alert Visibility

Given that an alert condition is met, When the system processes the engagement metrics, Then a visual notification is displayed on the dashboard with clear details of the metric deviation.

Custom Criteria Configuration

Given that a user accesses the settings panel, When the user configures custom alert criteria for engagement metrics, Then the system saves and applies these criteria accurately for subsequent data evaluation.

Alert Notification Frequency Control

Given rapid fluctuations in engagement metrics, When multiple alerts are triggered within a short time frame, Then the system consolidates notifications, ensuring that alerts are not redundantly delivered while still notifying the user of significant changes.

Error Handling for Alert Delivery

Given an unexpected failure in sending email alerts, When the system encounters an error during the notification process, Then it displays a clear error message on the dashboard and logs the error for further investigation.

Trend Pulse

Provides a dynamic view of market trend fluctuations on an interactive dashboard. With real-time visuals and intuitive design, users can quickly spot emerging trends and shifts, empowering them to make data-driven decisions swiftly.

Requirements

Real-Time Trend Visualization

"As a market researcher, I want to view real-time market trends on an interactive dashboard so that I can quickly identify and respond to market shifts."

Description

Provide dynamic real-time visuals of market trends using interactive charts that update live. This capability allows users to monitor fluctuations, identify emerging trends, and quickly react to shifts in the market. The feature integrates seamlessly within the interactive dashboard of SurveyQ, ensuring an intuitive and responsive user experience for market analysis.

Acceptance Criteria

Basic Real-Time Update

Given the user is viewing the Trend Pulse dashboard, when new market trend data is received, then the interactive chart should automatically update to reflect the changes in real-time.

Interactive Chart Response

Given that the user interacts with chart elements (e.g., zoom, hover, filters), when these actions are performed, then the chart must respond immediately with updated visuals and data.

Trend Identification

Given the dashboard displays live market trend data, when the system detects a market shift above a predefined threshold, then it should highlight the emerging trend using distinct visual cues such as color changes or annotations.

Seamless Integration within Dashboard

Given that the interactive dashboard hosts multiple modules, when the Trend Pulse component is activated, then the real-time trend visualization must integrate seamlessly without impacting the overall dashboard performance.

Data Accuracy and Consistency

Given market data is sourced in real-time from multiple streams, when the chart updates, then the displayed trends should accurately match the input data with an error margin of less than 2%.

Customizable Data Filters

"As a market researcher, I want to apply custom filters to trend data so that I can focus my analysis on specific market segments and derive more accurate insights."

Description

Enable customizable filters that allow users to segment and refine trend data based on various parameters like time periods, demographics, and regions. This functionality empowers users to tailor the trend view to their specific research needs, providing more targeted insights directly within the Trend Pulse dashboard integrated in SurveyQ.

Acceptance Criteria

Data Segmentation Filter Usage

Given a user is on the Trend Pulse dashboard, when they select filters for time periods, demographics, and regions, then the dashboard must display only the data corresponding to the selected filters.

Real-Time Filter Update

Given a user applies a filter, when the filter is activated, then the dashboard must update within 2 seconds with the filtered data.

Filter Reset and Default View

Given a user has applied one or more filters, when the user clicks the 'Reset Filters' button, then all filters are cleared and the dashboard reverts to showing the default unfiltered data.

Filter Persistence During Session

Given a user customizes filters while on the dashboard, when they navigate away and return during the same session, then the previously applied filters must remain active.

Alert Notification System

"As a market researcher, I want to receive alerts for significant trend changes so that I can respond promptly and adjust my strategy as needed."

Description

Integrate an alert system that automatically notifies users of significant trend changes or anomalies via real-time notifications. This feature supports dashboard signals, emails, and mobile push alerts, ensuring that market researchers receive critical updates promptly, enhancing decision-making capabilities within SurveyQ.

Acceptance Criteria

Real-Time Dashboard Alert

Given a significant trend change is detected on the Trend Pulse dashboard, when the change exceeds a predefined threshold, then a real-time notification is automatically displayed on the dashboard.

Email Notification Alert

Given that the system detects an anomaly in market trends, when the anomaly meets the critical threshold, then an email notification is sent to the user's registered email address.

Mobile Push Alert Activation

Given that the system identifies a substantial trend shift, when the shift qualifies as significant as per configured parameters, then a mobile push alert is triggered to notify the user instantly.

Custom Notification Settings

Given the user's preference for receiving alerts, when the user customizes their notification settings, then the system only sends alerts through the selected channels (dashboard, email, push notifications).

Alert Delivery Retry Mechanism

Given a failure in alert delivery via any channel, when a delivery failure is detected, then the system should automatically retry sending the notification within a predefined time frame until successful or a maximum retry limit is reached.

Social Media Integration for Trend Inputs

"As a market researcher, I want to see trends derived from social media data so that I can gain a more comprehensive understanding of market sentiments and emerging trends."

Description

Incorporate social media metrics into the trend analysis by aggregating and analyzing data from popular platforms. This functionality enriches market trend insights with external data, providing market researchers with a broader and more comprehensive understanding of emerging trends, which is seamlessly presented in the Trend Pulse dashboard of SurveyQ.

Acceptance Criteria

Social Media Authentication and Data Fetching

Given valid social media API credentials, when the system attempts to connect to a social media platform, then the authentication should succeed and the initial data fetch must complete within 5 seconds.

Real-Time Social Media Data Aggregation

Given the availability of new social media metrics, when the integration component polls the API endpoints, then the system should aggregate the data and update the Trend Pulse dashboard within 60 seconds with no data loss.

Data Consistency in Trend Pulse Dashboard

Given the aggregated social media data, when the dashboard is refreshed, then all displayed trend metrics must accurately reflect the integrated social media inputs, with a tolerance margin below 5% deviation from the source data.

Interactive DrillDown

Enables users to click on any data point within the dashboard to access deeper layers of detailed analytics. This feature transforms broad data sets into actionable insights, allowing researchers to pinpoint the factors driving trends.

Requirements

Data Point Drill-Down

"As a market researcher, I want to click on any data point to get detailed insights so that I can better understand the factors driving survey trends and make informed decisions."

Description

Allow users to click any individual data point on a dashboard to view deeper analytics and contextual information seamlessly integrated into the SurveyQ platform. This functionality enhances user engagement and provides in-depth analytical insights to help market researchers quickly interpret trends and underlying data factors.

Acceptance Criteria

Dashboard Data Point Click Interaction

Given a user views the dashboard, when a data point is clicked, then a drilldown panel with detailed analytics and contextual data should be displayed seamlessly.

Data Contextualization Check

Given a drilldown view is activated, when detailed analytics are presented, then the contextual information must be relevant to the selected data point along with trend analysis and metadata.

Real-time Analytics Update

Given a user drills down into a data point on the dashboard, when real-time analytics update is triggered, then the new data should be reflected instantly without page reload.

Mobile Compatibility Drilldown

Given a user accesses the dashboard on a mobile device, when a data point is tapped, then the drilldown functionality should work properly and the layout should adapt to different screen sizes.

Dynamic Analytics Rendering

"As a market researcher, I want the detailed analytics view to refresh dynamically so that I always see the most current and actionable insights in real-time."

Description

Enable dynamic rendering of detailed analytics views that refresh in real-time as users interact with the dashboard. This requirement ensures that the deeper layers of data are updated immediately, supporting a fluid and responsive user experience, while integrating automated analysis tools to highlight key trends.

Acceptance Criteria

Real-Time Data Update on Interaction

Given a user clicks on a specific data point in the dashboard, when the interactive drilldown is activated, then the detailed analytics view must refresh in real time with updated information within 2 seconds.

Seamless Integration with Automated Analysis Tools

Given that the system integrates with automated analysis tools, when a user interacts with the dashboard, then key trends and insights should be automatically highlighted without manual intervention.

Consistent Rendering Under High Load

Given multiple concurrent user interactions, when the analytics dashboard is accessed, then all dynamic views must render accurately and within a response time of less than 3 seconds under high load conditions.

User Control Over Refresh Options

Given that the user prefers control over data refresh, when the user disables automatic updates, then dynamic analytics rendering should pause and only refresh upon manual resumption.

Dashboard Data Integrity on Failed Update

Given a failure in retrieving updated data, when the system encounters an error during dynamic rendering, then an error message should be displayed clearly and the last known valid data view should remain accessible.

Contextual Data Filtering

"As a market researcher, I want to filter detailed analytics by categories like time or demographics so that I can focus on the specific factors influencing survey results."

Description

Implement contextual filtering options within the drill-down interface to allow researchers to refine the displayed data based on criteria such as time, demographics, or survey questions. This capability integrates seamlessly with SurveyQ’s automated tools to tailor the analysis and surface the most relevant insights.

Acceptance Criteria

Filtering by Time Range

Given a researcher using the drill-down interface, when they select a specific time range filter, then the dashboard updates to display data corresponding to that time range without affecting other filters.

Filtering by Demographics

Given a researcher applying a demographic filter, when a specific demographic option is selected, then the drill-down displays data only pertaining to the selected demographic, and all associated metadata is adjusted accordingly.

Filtering by Survey Question Responses

Given a researcher filtering based on survey question responses, when multiple survey questions are selected as criteria, then the drill-down interface provides subsets of data aligning with those responses, ensuring no conflicts between filters.

Filter Combination Validation

Given a researcher applying multiple filters (time, demographics, survey questions), when the filters are applied concurrently, then the system accurately aggregates and displays results that meet all criteria without performance degradation.

Real-time Filter Update

Given a researcher interacting with filters, when a filter is adjusted on the fly, then the dashboard refreshes dynamic data in real-time and within user-acceptable load times.

Snapshot Insight

Allows users to capture, save, and compare custom dashboard views over time. This facilitates trend analysis by providing historical context and an easy way to share key insights with stakeholders.

Requirements

Dashboard Snapshot Capture

"As a market researcher, I want to capture dashboard views at specific intervals so that I can analyze trends over time and make informed decisions."

Description

Enable users to capture custom dashboard views on-demand and via scheduled automation. This requirement empowers users to freeze the state of their survey analytics to build a historical archive for trend analysis. By offering flexible capture options and seamless integration with other SurveyQ modules, it provides users with greater control over their data, resulting in more accurate and actionable market insights.

Acceptance Criteria

On-Demand Dashboard Capture

Given a user is viewing a custom dashboard view, when the user clicks the 'Capture Snapshot' button, then the system should immediately save the current dashboard state with a timestamp and all visible metrics into an archival record.

Scheduled Dashboard Snapshot Automation

Given a user configures a schedule for capturing a snapshot, when the scheduled time is reached, then the system should automatically capture and archive the current dashboard view without any manual intervention.

Snapshot Customization Options

Given a user customizes their dashboard view by selecting specific widgets or data filters, when the user initiates either an on-demand or scheduled snapshot capture, then the system should only capture and archive the user-defined components of the dashboard.

Seamless Integration with Other Modules

Given that a snapshot has been captured, when the user navigates to other SurveyQ modules such as reports or trend analysis, then the system should enable the easy import, display, and referencing of the snapshot within those modules.

Historical Archive Comparison

Given multiple snapshots have been captured over time, when a user selects two or more snapshots for comparison, then the system should display a detailed comparative view highlighting changes and trends in dashboard metrics and visualizations.

Historical Snapshot Comparison

"As a market researcher, I want to compare historical snapshots so that I can quickly identify key trends and understand how my survey data evolves over time."

Description

Implement the ability for users to compare multiple saved dashboard snapshots side by side. This functionality highlights trends, variances, and critical changes over time, offering context to evolving data. By integrating with data visualization tools, the feature ensures that comparisons are accurate and easily interpreted, thereby enhancing the overall analysis capabilities within SurveyQ.

Acceptance Criteria

Initial Snapshot Comparison Setup

Given a user on the dashboard, when they select the option to compare historical snapshots, then the system displays available snapshots for selection based on the user's permissions.

Side-by-Side Snapshot Rendering

Given that snapshots are selected, when the user initiates the comparison, then the system renders the snapshots side by side ensuring that charts and graphs are aligned and compare correctly.

Accurate Data Visualization Integration

Given the snapshots are loaded, when the system integrates data visualization tools, then the visual components reflect accurate trends, variances, and critical changes in real time.

User Interaction and Filter Consistency

Given the snapshots are compared, when the user applies filters or adjusts time frames, then the system updates the side-by-side view to ensure consistent application of filters across all snapshots.

Snapshot Sharing Functionality

Given a completed snapshot comparison, when a user selects the option to share or export the comparison, then the system generates a shareable link or exportable file that maintains high-fidelity representation of the comparison.

Snapshot Sharing Mechanism

"As a market researcher, I want to effortlessly share snapshot insights with my team and stakeholders so that everyone is informed about key trends and updates."

Description

Develop a streamlined process that allows users to easily share saved dashboard snapshots with stakeholders via email, social media, or exportable reports. This sharing mechanism ensures that insights are communicated effectively across channels and supports multiple formats, enhancing collaboration and decision-making. Integration with existing social media platforms and email functionalities is essential for a seamless user experience.

Acceptance Criteria

Email Sharing Flow

Given a saved dashboard snapshot, when the user selects the email sharing option and inputs valid recipient addresses, then the system should generate an email with the snapshot attached (in supported formats) along with a predefined subject and message, and confirm successful dispatch.

Social Media Sharing Flow

Given a saved dashboard snapshot, when the user selects the social media sharing option, then the system should display available supported platforms, format the snapshot appropriately, and post it upon confirmation while providing a success notification.

Export Report Sharing Flow

Given a saved dashboard snapshot, when the user selects the export sharing option, then the system should generate a downloadable report in selectable formats (e.g., PDF, Excel) that includes the snapshot and relevant metadata, ensuring data integrity and proper formatting.

Preview Before Sharing

Given a saved dashboard snapshot, when the user opts to preview the snapshot before sharing, then the system should display a read-only preview in the chosen format within 2 seconds for verification prior to actual sharing.

Predictive Forecast

Integrates machine learning algorithms with real-time data to provide predictive analytics. This feature forecasts potential market trends based on historical patterns, equipping researchers with foresight for proactive strategy adjustments.

Requirements

Integrated Data Pipeline

"As a market researcher, I want the system to automatically integrate data from various sources so that I can rely on accurate trends for strategic decisions."

Description

Implement a robust pipeline to ingest both historical and real-time market data from multiple sources, ensuring consistency and accuracy. This pipeline will feed the machine learning models with high-quality data, enabling accurate predictive analytics and trend forecasting.

Acceptance Criteria

Historical Data Ingestion

Given that historical market data files are available, When the system detects them, Then the pipeline should ingest the data ensuring consistency and convert all data to a unified format.

Real-time Data Integration

Given a live market data stream, When the data is received in real time, Then the pipeline must process and integrate it within 2 seconds ensuring high data accuracy.

Data Quality Validation

Given a dataset ingested from multiple sources, When the pipeline completes the ingestion process, Then it should validate the data against predefined schema and integrity checks, marking any erroneous records for review.

Pipeline Resilience Under Load

Given a simulated high-volume data scenario, When the pipeline processes the data, Then it should maintain performance metrics without errors and meet the defined processing time thresholds.

Error Handling and Logging

Given any inconsistencies or errors during data ingestion, When errors occur, Then the system must log detailed error information and notify the system administrator immediately.

Real-time Analytics Dashboard

"As a market researcher, I want a real-time dashboard to visualize forecast data so that I can make timely, informed decisions based on current market trends."

Description

Develop a live dashboard that visually presents the predictive forecasts alongside historical data trends, enabling users to quickly assess market movements. The dashboard will support interactive elements to allow drilling down into specific segments for detailed insights.

Acceptance Criteria

Dashboard Live Feed

Given a logged in user viewing the dashboard, when the page loads, then real-time predictive forecasts and historical trends must be displayed with an update interval of less than 2 seconds.

Interactive Data Drill Down

Given the user selects a specific market segment on the dashboard, when the drill down action is initiated, then detailed insights for that segment should be provided within 1 second.

Social Media Integration Display

Given social media metrics are available, when the dashboard refreshes its content, then the integrated social media response rates should update automatically and reflect a minimum 30% increase when applicable.

User Alert System

"As a market researcher, I want to receive instant alerts when notable market trends are predicted so that I can react quickly to potential market shifts."

Description

Create an alert system that notifies researchers when significant deviations or emerging trends are detected by the predictive models. This feature will empower users to take proactive measures by highlighting sudden changes in market dynamics.

Acceptance Criteria

Significant Change Detection

Given the predictive model identifies a deviation exceeding a pre-determined threshold, when real-time data is ingested, then the system must notify researchers with a distinct visual and audio alert.

Emerging Trend Identification

Given historical data patterns combined with real-time inputs, when the predictive forecast indicates an emerging trend, then the system should trigger an alert providing trend details and potential market impact.

User-Specified Alert Configuration

Given that researchers customize their alert settings in SurveyQ, when deviations meeting the set parameters occur, then notifications must adhere to these configurations regarding threshold, frequency, and delivery channel.

Contextual Alert Content

Given that an alert is triggered by a significant deviation or new trend, when the notification is delivered, then it should include detailed insights such as deviation metrics, trend graphs, and a short analysis of potential impact.

Integration with Notification Channels

Given the integration with social media and other communication channels, when an alert is triggered, then it must be delivered simultaneously across all configured channels (mobile, email, dashboard) and logged for audit purposes.

Seamless Survey Integration

"As a market researcher, I want predictive insights to be integrated within my survey creation workflow so that I can design more targeted surveys aligned with market trends."

Description

Enable smooth integration of predictive analytics with the SurveyQ survey creation process. This ensures that market researchers can tailor survey questions based on forecasts, enhancing the relevance and impact of their surveys.

Acceptance Criteria

Survey Integration Initiation

Given the predictive analytics feature is activated in SurveyQ, when a market researcher starts creating a survey, then the system must automatically integrate real-time predictive data and suggest tailored survey questions based on forecasted market trends.

Real-Time Forecast Data Integration

Given the system has access to live ML-driven forecasts, when a researcher accesses the survey creation interface, then the dashboard should display updated predictive analytics, ensuring that the survey questions are informed with the latest market insights.

Dynamic Survey Question Adjustment

Given that forecasted trends are available within SurveyQ, when a researcher modifies survey questions during the design phase, then the system should dynamically update question suggestions to reflect any changes in predictive data, ensuring survey relevance.

Custom Alert Builder

Empowers users to create personalized alerts based on specific thresholds and key performance indicators. This ensures that no critical change in market trends goes unnoticed, enabling timely and agile responses.

Requirements

Dynamic Threshold Configuration

"As a market researcher, I want to set and adjust custom alert thresholds so that I can monitor critical changes in survey data immediately."

Description

Implement a flexible interface that enables users to set custom thresholds for key performance indicators, with real-time feedback and adjustments. Integrate this configuration directly with SurveyQ's analytics to automatically trigger alerts when critical values change, ensuring users receive timely information about market dynamics.

Acceptance Criteria

Threshold Configuration Interface

Given a user navigates to the Dynamic Threshold Configuration page, When they adjust a KPI slider or enter a specific numeric value, Then the interface must instantly display the updated threshold and provide real-time visual feedback.

Real-Time Analytics Integration

Given the analytics module is active, When a user saves a new threshold configuration, Then the SurveyQ analytics dashboard should immediately reflect this change and use it to assess KPI performance.

Alert Trigger Verification

Given a KPI reaches the user-set threshold, When the KPI value crosses the configured limit, Then the system must automatically trigger an alert with all relevant market trend details.

User Feedback During Configuration

Given a user is inputting a threshold value, When the entered value is outside of the acceptable range, Then the system should display an error message and prohibit saving until a valid value is entered.

Seamless Alert Acknowledgment

Given an alert has been triggered based on dynamic threshold criteria, When the user acknowledges the alert, Then the alert should be marked as read and stored in the alert history log.

Alert Notification Mechanism

"As a market researcher, I want to receive alerts through my preferred communication channels so that I can promptly act on important data insights."

Description

Develop a comprehensive notification system that dispatches alerts through various channels such as email, SMS, and in-app notifications. This system ensures that users are promptly informed about significant changes, facilitating real-time, agile responses to emerging trends.

Acceptance Criteria

Email Notification Dispatch

Given a critical alert is triggered, when the system processes the alert, then it dispatches an email notification to the user’s registered email address within 5 minutes containing accurate alert details.

SMS Notification Functionality

Given a critical alert is triggered, when the alert conditions are met, then the system sends an SMS notification to the user's registered mobile number with concise and accurate alert information.

In-App Notification Delivery

Given a critical alert is triggered, when the system processes the alert event, then it displays an in-app notification on the user’s dashboard containing the relevant details of the alert and requires acknowledgment.

Alert Threshold Evaluation

Given user-defined thresholds and KPIs are configured, when the survey results update in real time, then the system evaluates these metrics and triggers an alert if the thresholds are exceeded.

Multi-Channel Alert Consistency

Given a critical market trend change is detected, when the alert is triggered, then the system dispatches notifications via email, SMS, and in-app channels uniformly and within acceptable time limits.

KPI Selection Interface

"As a market researcher, I want an intuitive KPI selection interface so that I can easily target the indicators most important to my studies."

Description

Create a streamlined and user-friendly interface that allows users to select, customize, and manage various key performance indicators relevant to their surveys. This interface integrates seamlessly with existing SurveyQ analytics, providing users with the tools to focus alerts on the most critical metrics.

Acceptance Criteria

KPI Alert Integration

Given a user accesses the KPI Selection Interface, when they select one or more KPIs, then those selections are seamlessly integrated with the Custom Alert Builder and real-time SurveyQ analytics.

Custom Threshold Setup

Given KPIs are selected, when a user configures specific threshold values for an alert, then the system should validate and apply these thresholds accurately, providing immediate confirmation of configuration.

User-Friendly Interface Navigation

Given a first-time user navigates to the KPI Selection Interface, when exploring the available options for KPI customization and alert integration, then the interface should offer intuitive guidance, tooltips, and error-free operation.

Historical Data Trend Analysis

"As a market researcher, I want to use historical data to set alert thresholds so that I can distinguish between normal fluctuations and truly noteworthy changes."

Description

Integrate historical trend analysis into the alert system, enabling users to set alerts based on deviations from established industry and past survey benchmarks. This context-aware functionality helps differentiate between routine variations and significant anomalies.

Acceptance Criteria

Historical Benchmark Alert Setup

Given a user has defined industry and past survey benchmarks, when they create a new alert, then the system shall compare current survey data against historical benchmarks with a tolerance level of 10%.

Deviation Alert Trigger

Given the system has established historical data trends, when a deviation beyond the preset threshold occurs, then the system shall trigger a custom alert detailing the variance from historical averages.

Alert Filtering for Routine Variations

Given that the system processes continuous survey data, when variations fall within routine fluctuations as defined by historical trends, then no alert shall be generated to prevent noise.

Real-Time Notification with Historical Context

Given an alert is triggered, when the user receives the notification, then it shall include contextual historical trend data to assist in interpreting the significance of the detected variation.

Customizable Thresholds for Historical Analysis

Given that a user is configuring a customized alert, when they set specific thresholds based on historical data, then the system shall store and apply these settings for future alert evaluations accurately.

Real-Time Alert Dashboard

"As a market researcher, I want a real-time dashboard for alerts so that I can monitor and analyze market changes as they occur."

Description

Design and implement a centralized, real-time dashboard that displays triggered alerts alongside ongoing conditions and relevant performance data. This dashboard provides immediate access to detailed insights and supports in-depth analysis, enabling quick decision-making.

Acceptance Criteria

Triggered Alerts Display

Given that a user has set up alert thresholds on SurveyQ, when real-time performance data surpasses a threshold, then the Real-Time Alert Dashboard must immediately display the triggered alert with associated metrics.

Real-Time Data Refresh

Given that a user is viewing the Real-Time Alert Dashboard, when a new condition is met that triggers an alert, then the dashboard must refresh within 2 seconds to show the most up-to-date information.

Data Consistency Verification

Given that multiple alerts are triggered simultaneously, when the dashboard updates, then all alerts must be displayed in a synchronized manner with consistent performance data drawn directly from the source without lag.

Historical Trend Comparison

Given that an alert is displayed, when the user selects an alert for detailed analysis, then the dashboard must provide a comparative view of historical trend data alongside the current performance metrics.

Alert Interaction and Navigation

Given that a user interacts with a triggered alert, when the user clicks on the alert details, then the dashboard must allow for navigation to an expandable view that offers detailed insights and links to in-depth reports.

Guided Onboarding

This feature offers a step-by-step walkthrough for new users, highlighting essential functions and tools. It simplifies the initial setup process, ensuring that users quickly understand how to leverage SurveyQ’s capabilities, reducing the learning curve and boosting early productivity.

Requirements

Guided Walkthrough Setup

"As a new market researcher, I want a clear guided walkthrough so that I can quickly learn how to set up and use SurveyQ without feeling overwhelmed."

Description

Provide a comprehensive, step-by-step guided walkthrough highlighting SurveyQ’s essential functions and tools, ensuring a smooth and engaging setup process for new users. This walkthrough will cover the introduction to the dashboard, survey creation, real-time analytics, and social media integration, enabling users to quickly understand and leverage SurveyQ’s capabilities.

Acceptance Criteria

Dashboard Introduction

Given a new user logs in, when the guided walkthrough initiates, then the system must display an overview of the dashboard components with clear navigation tips.

Survey Creation Tutorial

Given a user accesses the survey creation module, when the walkthrough reaches this section, then it must guide the user through survey creation steps with concise instructions and tooltips.

Real-Time Analytics Walkthrough

Given a user navigates to the real-time analytics section, when the guided walkthrough activates, then the system should highlight analytics features with interactive annotations and explanations.

Social Media Integration Guidance

Given a user reaches the social media integration step, when the walkthrough begins, then it must detail the integration process and benefits, ensuring a clear understanding of data flow and response rate improvements.

Interactive Help Tips

"As a user, I want interactive tips during my onboarding so that I can receive instant explanations of key features when I need them."

Description

Integrate contextual, interactive tooltips that pop-up during the onboarding process. These help tips will provide additional explanations, best practices, and insights when users interact with specific features, ensuring immediate assistance and clarity, ultimately reducing the learning curve.

Acceptance Criteria

Tooltip Activation on Feature Interaction

Given a new user is on the onboarding step, when they hover over a feature icon, then the interactive help tip appears within 1 second.

Tooltip Accuracy and Relevance

Given that interactive help tips are displayed, when the user clicks on a tooltip, then the detailed explanation correctly matches the feature context with no discrepancies.

Tooltip Dismissal and Persistence

Given that tooltips are triggered, when the user dismisses or closes the tooltip, then it should fade out and not reappear during the same session unless reactivated.

Help Tip Best Practices Integration

Given the onboarding process is active, when a user interacts with a feature, then the tooltip should display best practices and contextual tips aligned with SurveyQ guidelines.

Responsive Tooltip for Devices

Given the application is accessed on various devices, when the onboarding process is executed, then tooltips must be properly positioned and scaled for optimal readability across desktop and mobile environments.

Personalized Onboarding Experience

"As a market researcher, I want a personalized onboarding process so that the guidance is tailored to my specific background and survey needs."

Description

Develop a dynamic onboarding journey that adapts based on user input and profile information such as industry focus and experience level. This tailored approach enhances relevance and engagement, driving higher initial productivity and satisfaction by delivering content specific to the user's needs.

Acceptance Criteria

User completes initial profile setup

Given a new user enters their profile details including industry focus and experience level, when the onboarding journey initializes, then the system dynamically adjusts subsequent steps based on the input provided.

User receives tailored tooltips

Given a user with a specified industry profile and experience level, when navigating through the dashboard, then the onboarding should display contextual tooltips and resources that are relevant to their profile.

User progress tracking

Given that the onboarding flow is personalized, when a user completes each step of the onboarding process, then their progress should be accurately tracked and displayed in real-time.

Context-aware recommendations

Given a user who has completed initial onboarding steps, when the system provides further feature suggestions, then the recommendations must align with the user's industry and experience level.

User feedback integration

Given a personalized onboarding journey, when a user provides feedback or indicates confusion at any step, then the system should offer additional guidance or an option to revisit the content to ensure clarification.

Progress Tracker Display

"As a new user, I want to see a progress tracker so that I can monitor my advancement through the onboarding process and know what steps remain."

Description

Implement a visual progress tracker that clearly indicates the user’s current step in the onboarding sequence along with the remaining steps to completion. This feature improves transparency, helps set user expectations, and provides a sense of accomplishment as users advance through the setup process.

Acceptance Criteria

Onboarding Initiation - Display Tracker

Given the user starts the onboarding process, when they enter the guided onboarding flow, then a progress tracker is displayed showing the current step and total steps.

Progress Accuracy Validation

Given the progress tracker is visible, when a user completes a step, then the tracker accurately updates to reflect the completed step and remaining steps.

Visual Consistency in Tracker

Given various device resolutions, when the progress tracker is rendered, then it should maintain design consistency and clarity across all supported devices.

User Interaction Feedback

Given the progress tracker is displayed, when a user interacts with a step (e.g., hover or focus), then helpful information or tooltips about that step should appear.

Accessibility Compliance for Tracker

Given a user relies on assistive technologies, when the progress tracker is used, then it must provide accurate, screen-reader-friendly updates on the current step and remaining steps.

Onboarding Feedback Collection

"As a user, I want to provide feedback on the onboarding process so that SurveyQ can continuously improve and better meet the needs of new users."

Description

Integrate a feedback mechanism at the conclusion of the onboarding process to capture user impressions and suggestions. This functionality will facilitate continuous improvement of the onboarding experience by actively involving users in the refinement of SurveyQ’s initial setup, further aligning it with their needs.

Acceptance Criteria

User Feedback After Onboarding

Given a user has completed the onboarding process, When they reach the end of the walkthrough, Then a feedback form is presented to capture impressions and suggestions.

Mandatory Feedback Field Validation

Given that a required feedback field is empty, When the user attempts to submit their feedback, Then the system must display an error message prompting the user to complete the missing information.

Real-time Feedback Submission Confirmation

Given a user has submitted their feedback, When the submission is processed, Then the system must display a confirmation message and record the feedback for analysis.

Interactive Tutorial

An engaging, hands-on tutorial that allows users to actively interact with SurveyQ’s interface. By showcasing live examples and demonstrations, it demystifies complex functionalities and fosters a quicker, more confident transition into using the platform efficiently.

Requirements

Guided Interactive Onboarding

"As a new user, I want a guided interactive onboarding tutorial so that I can quickly learn how to use SurveyQ effectively."

Description

Implement an interactive guided tour that introduces new users to SurveyQ’s interface, offering step-by-step demonstrations of key features and enabling hands-on practice through simulated survey creation and analytics review. This requirement is designed to reduce user onboarding time and enhance user confidence by providing immediate, practical exposure to the platform’s capabilities.

Acceptance Criteria

New User Welcome Tour

Given a new user logs into SurveyQ for the first time, When they are prompted to start the onboarding process, Then the interactive guided tour must launch automatically with a clear introduction to the platform.

Feature Demonstration Step

Given the user is engaged with the guided tour, When they reach a key feature section such as survey creation, Then the system must display a live demonstration with interactive, step-by-step instructions.

Analytics Overview Simulation

Given the user has completed the survey creation simulation, When they navigate to the analytics section within the tour, Then a simulated analytics dashboard with sample data must be presented to illustrate functionality.

Interactive Progress Indicator

Given that the interactive guided onboarding is in progress, When a user completes each step, Then the progress indicator must update accurately and provide immediate visual feedback on their advancement.

Interactive Demo Simulation

"As a market researcher, I want to explore survey creation in a risk-free simulated environment so that I can learn and experiment with SurveyQ features safely."

Description

Develop an interactive demo simulation module that lets users experiment with SurveyQ's survey creation process in a sandbox environment. Users can test various question formats, apply survey logic, and receive real-time feedback without the risk of altering live data, which enhances their understanding and skills without trial-and-error in production.

Acceptance Criteria

Interactive Demo Navigation

Given the user launches the interactive demo simulation, when they select a survey creation workflow, then the system should display a step-by-step interactive guide for navigating through the survey creation process.

Simulated Survey Logic Testing

Given the user is operating in the sandbox environment, when they apply conditional logic and branching to their survey questions, then the simulation must accurately execute the logic and update the flow in real-time.

Real-Time Feedback Visualization

Given the user experiments with various question formats during the interactive demo, when they complete a survey simulation, then the module should provide immediate visual feedback and performance metrics without affecting live data.

Customizable Tutorial Paths

"As an experienced user, I want to tailor the tutorial modules to focus on advanced features so that I can quickly access relevant information without repeating content I already know."

Description

Design a feature that allows users to personalize their tutorial experience by selecting modules tailored to their skill level and interests. This customization enables experienced users to skip basic introductions and focus on advanced functionalities, thereby optimizing their learning curve and engagement with SurveyQ.

Acceptance Criteria

Module Selection Flexibility

Given a user on the tutorial customization screen, when the user views all available modules categorized by skill level and interest, then the system shall display the complete list with options to select and deselect each module, defaulting to a standard path if no selection is made.

Real-time Customization Preview

Given a user has made module selections, when the user requests a preview of their customized tutorial path, then the system shall immediately display a summary including module names, sequence, and estimated durations with the option to modify the selection.

User Profile Integration for Personalized Paths

Given a logged-in user with an existing profile, when the user accesses the tutorial customization feature, then the system shall automatically preselect recommended modules based on the user’s past interactions and skill level, allowing manual override of selections.

Customization Coach

This feature provides personalized recommendations for setting up dashboards, survey templates, and workflows based on individual user needs. The intelligent coach tailors the experience to industry standards and personal preferences, ensuring optimal configuration and enhanced user engagement.

Requirements

Dynamic Dashboard Customization

"As a market researcher, I want dynamic dashboard recommendations so that I can quickly set up an efficient dashboard that highlights the insights most relevant to my projects."

Description

Enable the Customization Coach to analyze user preferences and historical behavior to offer tailored dashboard layouts and widget configurations. This feature will integrate seamlessly with the SurveyQ analytics engine, recommending metrics, charts, and layout options that align with industry standards and individual requirements, thereby enhancing usability and engagement.

Acceptance Criteria

Real-time Dashboard Recommendation Activation

Given a user logs into SurveyQ, when the Customization Coach analyzes current session data, then dynamic dashboard recommendations must be generated in real time.

Personalized Widget Customization

Given a user has configured dashboard settings, when historical behavior is analyzed, then the system should automatically suggest widget configurations that align with the user's preferences.

Integration with Analytics Engine

Given a survey process is in progress, when dashboard data is refreshed, then the Customization Coach must integrate with SurveyQ's analytics engine to display current metrics and charts.

Industry Standard Metrics Validation

Given a set of dashboard recommendations is generated, when they are displayed to the user, then the recommendations must include industry-standard metrics and layout options that meet predefined standards.

User Feedback Loop for Recommendations

Given that a user has received dashboard recommendations, when feedback is provided through the Customization Coach, then the system should adjust and refine future recommendations based on the feedback.

Intelligent Survey Template Guidance

"As a market researcher, I want proactive survey template suggestions so that I can deploy surveys faster with configurations that meet industry benchmarks and reduce setup errors."

Description

Equip the Customization Coach with an intelligent recommendation system to suggest survey templates based on industry specifics and user case scenarios. This will reduce manual configuration, ensure adherence to best practices, and accelerate survey deployment by providing custom-tailored templates that match the project's objectives.

Acceptance Criteria

Template Suggestion Based on Industry

Given a user is creating a new survey and inputs their industry and project details, when the system processes the entry, then it must suggest a tailored survey template that adheres to industry best practices.

Automated Best Practices Compliance Check

Given a user selects a survey template, when the user requests a review, then the system must automatically flag any deviations from industry best practices and recommend necessary modifications.

Real-Time Analytics in Template Recommendation

Given a user interacts with the Customization Coach, when the system displays survey template recommendations, then each recommendation must include real-time analytics data that justifies its relevance.

User Feedback Integration in Recommendations

Given a user's historical feedback on previous surveys, when the user accesses new template suggestions, then the system must integrate past ratings and preferences to rank and refine the recommendation list.

Adaptive Workflow Recommendations

"As a market researcher, I want adaptive workflow recommendations so that I can configure an efficient and error-free survey process tailored to my research needs."

Description

Develop the capability within the Customization Coach to deliver personalized workflow configuration tips that guide the user through best practices in survey creation and data collection. By analyzing individual user behavior and industry trends, this feature will streamline workflow setup, improve efficiency, and ensure that users achieve optimal survey production outcomes.

Acceptance Criteria

Initial Workflow Configuration Tip

Given a user navigates to the survey creation wizard for the first time, when the system detects available user behavior and industry data, then the Customization Coach should display a tailored workflow configuration recommendation based on best practices.

Real-Time Recommendations During Workflow Setup

Given a user is actively configuring their survey workflow, when key elements such as question order or data endpoints are modified, then the system should provide timely and context-sensitive workflow optimization tips in real-time.

Industry Trend-Based Suggestions

Given that the user's industry context information is available, when the system conducts an analysis of current market trends, then the Customization Coach should offer workflow recommendations that align with the latest industry best practices.

User Behavior Analysis Feedback

Given historical user interactions and previous survey setups, when a returning user initiates a new survey, then the system must analyze past behavior to generate personalized workflow recommendations that enhance efficiency.

Fallback Recommendation Provision

Given a scenario where insufficient data is available to generate personalized tips, when a user requests workflow recommendations, then the system must default to providing generic, industry-standard best practice recommendations.

Progress Tracker

A visual progress indicator that displays the completion status of each onboarding step. This feature motivates new users by providing clear feedback on their journey and helps them stay organized, ensuring that every critical step is completed for a smooth transition into using SurveyQ.

Requirements

Dynamic Step Completion Indicator

"As a new user, I want to see a real-time progress indicator so that I can easily monitor which onboarding steps are complete and which remain."

Description

Provide a dynamically updating visual indicator that clearly displays the user's current progress through the onboarding steps, integrating with real-time data to reflect step completion and ensure users can easily track their progress.

Acceptance Criteria

Dynamic Visual Update

Given the user is on the onboarding screen, when they complete a step, then the visual indicator updates in real-time to reflect the completion.

Data Integration Validation

Given the system receives real-time data from the survey creation module, when the user’s step status changes, then the progress tracker must display the update immediately.

User Journey Feedback

Given the user has initiated the onboarding process, when they view the progress tracker, then they see a clear and accurate display of both completed and pending steps.

Seamless Onboarding Interaction

Given the user interacts with various elements of the onboarding flow, when a step is completed, then the dynamic indicator should respond promptly and smoothly without lag.

Error Handling and Fallback Display

Given that real-time data is interrupted, when an error occurs in fetching the step status, then the system should display a fallback indicator with an informative message.

Onboarding Milestone Alerts

"As a user, I want to receive notifications when I complete important parts of the onboarding process so that I remain informed and motivated throughout my journey."

Description

Implement alert notifications that automatically trigger when key onboarding milestones are reached, providing users with timely feedback and reminders to complete pending steps.

Acceptance Criteria

Milestone Reached Alert Event

Given a user is progressing through the onboarding steps, when they complete a defined milestone, then an alert notification must be automatically triggered to inform them of the progress.

Alert Timing for Pending Steps

Given a user has pending onboarding steps, when the user delays completion beyond a predetermined time threshold, then a reminder alert should be automatically sent to prompt the user to complete the steps.

Visual Integration with Progress Tracker

Given that the onboarding progress tracker is visible to the user, when a key onboarding milestone is reached, then the progress tracker must visually update and trigger a corresponding alert notification.

Customized Messaging for Milestone Alerts

Given different user profiles may require tailored communications, when an onboarding milestone alert is generated, then the alert should contain messaging that is customized based on the user's profile data and previous interactions.

Interactive Progress Bar

"As a user, I want to interact with the progress bar to review my completed onboarding steps so that I can verify my progress and access support if required."

Description

Develop an interactive progress bar that allows users to click on completed steps to review details and access additional assistance, ensuring that they can retrace steps and obtain further information if needed.

Acceptance Criteria

Clickable Completed Step Navigation

Given a completed onboarding step, When a user clicks on the step in the progress tracker, Then the system displays detailed information and history for that step.

Assistance Access from Progress Bar

Given a user is using the interactive progress bar, When the user clicks on a completed step, Then the system provides additional assistance options and context-sensitive help overlays.

Accurate Completion Display

Given that the progress tracker visualizes all onboarding steps, When a step is marked as completed, Then the system changes the appearance of the step (e.g., color change or icon update) to reflect its completed status.

Dynamic Feedback When Revisiting Steps

Given a user revisiting a completed step via the progress bar, When the user clicks on that step, Then the system highlights related resources and displays a summary of completed step details.

Responsive Interaction with Progress Bar

Given the interactive progress bar is accessed on various devices, When a user selects a completed step, Then the detailed view and assistance options render correctly and maintain usability across all supported devices.

Onboarding Data Sync

"As a user, I want my onboarding progress to be saved and synced across my devices so that I can continue seamlessly from where I left off."

Description

Ensure that the progress tracker seamlessly integrates with backend onboarding data, synchronizing user progress across devices and sessions to provide a consistent experience.

Acceptance Criteria

Consistent Data Sync Across Devices

Given that a user completes an onboarding step on one device, When the user logs in from another device, Then the progress tracker must display the updated progress seamlessly.

Real-Time Progress Tracker Update

Given that a user finishes an onboarding step, When the step is marked complete in the backend, Then the progress tracker must immediately reflect this change without requiring a manual refresh.

Error Handling on Data Sync Failure

Given that a synchronization failure occurs due to a network error or server issue, When the error is detected, Then the system must notify the user and ensure that the progress tracker does not update until the data is correctly synced.

Session Persistence of Onboarding Progress

Given that a user logs out or closes the application during onboarding, When the user returns and logs back in, Then the progress tracker must accurately display the current progress based on the last successfully synced data.

QuickPulse Collector

Automatically triggers a brief feedback prompt immediately after a survey is completed, capturing respondents' initial impressions and specific insights. This rapid collection ensures that the freshest perspectives are gathered, enabling researchers to implement swift agile adjustments.

Requirements

Instant Feedback Prompt

"As a market researcher, I want to capture respondents' immediate impressions right after a survey so that I can quickly implement real-time improvements."

Description

Enable system to display a brief, automated feedback prompt immediately after survey completion. The prompt collects respondents' initial impressions and specific insights, aiming to capture the freshest feedback for agile improvements. This integration ensures a seamless survey experience while significantly enhancing the quality and timeliness of data gathered.

Acceptance Criteria

Post-Survey Feedback Display

Given a survey is completed, when the survey closes, then the feedback prompt should appear automatically with options for capturing initial impressions and insights.

Immediate Feedback Collection

Given a completed survey, when the feedback prompt is displayed, then it should allow input without interruption, accepting user feedback in under 2 minutes.

Automated Triggering of Feedback Prompt

Given survey completion, when the system confirms session closure, then it triggers the feedback prompt automatically within 1 second.

Enhanced Data Quality Through Real-Time Prompting

Given a survey is completed, when the feedback prompt is displayed, then it should capture both qualitative text and a quantitative rating, ensuring rapid and actionable insights.

Real-time Analytics Integration

"As a market researcher, I want the feedback data to be processed in real time so that I can promptly identify trends and adjust strategies."

Description

Implement backend integration that processes collected feedback instantly and updates the analytics dashboard. This ensures that real-time insights from QuickPulse Collector are available to researchers for immediate decision-making and agile adjustments, leveraging existing SurveyQ analytics modules for seamless data flow.

Acceptance Criteria

Feedback Prompt Processing in Real-Time

Given a survey respondent completes a survey, when QuickPulse Collector triggers the backend integration, then the analytics dashboard should update instantly with the new feedback data.

Data Flow Consistency Verification

Given that feedback data is captured by QuickPulse Collector, when the backend processes the data, then the information should be routed through the existing SurveyQ analytics modules without discrepancies.

Multiple Responses Aggregation Accuracy

Given multiple survey responses are submitted concurrently, when the data is processed, then the analytics dashboard should correctly aggregate and display the consolidated results in real-time.

Error Handling and Fallback Implementation

Given an integration error occurs during data processing, when the error is detected, then the system should log the issue and provide a fallback mechanism without interrupting the analytics dashboard updates.

Analytics Dashboard Refresh Efficiency

Given new feedback is processed, when the analytics dashboard is updated, then the refresh should occur within two seconds to maintain real-time insights for the researcher.

Mobile-Responsive Feedback Interface

"As a respondent, I want an interface that adapts to my mobile device so that I can easily provide feedback without any usability issues."

Description

Develop a mobile-friendly interface for QuickPulse Collector that maintains optimal usability on various devices, ensuring consistent feedback collection and enhanced respondent experience across all platforms.

Acceptance Criteria

Device Adaptive Layout

Given a user accessing the QuickPulse Collector on a mobile device, when the interface is displayed, then the layout should automatically adjust to fit the device’s screen dimensions with appropriate spacing.

Touch Interaction Compatibility

Given a user interacting with the QuickPulse Collector on a touchscreen device, when interacting with UI elements (taps, swipes), then all elements should respond accurately and seamlessly without misalignment or delay.

Load Performance on Mobile

Given a mobile user, when the feedback interface is loaded, then the page should render completely within 2 seconds on standard mobile networks.

Consistent Visual Representation

Given users accessing the interface from various mobile devices, when they view the screen, then visual elements including icons, fonts, and buttons must appear consistent in style and size across devices.

Responsive Feedback Submission

Given a mobile user submitting feedback, when the feedback form is filled and submitted, then the interface should process the submission and display a confirmation message without errors.

Social Media Sharing Integration

"As a respondent, I want an option to share my feedback on social media so that I can promote the survey and encourage participation among my peers."

Description

Add functionality that allows respondents to directly share their survey feedback on social media immediately after completion. This feature leverages SurveyQ's existing social media integration capabilities to boost engagement and broaden the survey's reach.

Acceptance Criteria

Post-Survey Social Sharing Prompt

Given a respondent has completed a survey, when the response screen appears, then a social sharing prompt must be displayed with clearly visible social media icons and a default message for sharing.

Pre-Filled Social Media Content

Given the respondent chooses to share their feedback, when the social media integration is activated, then the shared content should include a pre-filled message with key survey insights and a link to SurveyQ that is editable.

Error Handling and Fallback

Given a failure in the attempt to share on social media (e.g., due to network issues or API errors), when the error occurs, then the system should display a clear error message with an option to retry the sharing process.

Real-Time Analytics Tracking

Given a successful social media share, when the sharing event is completed, then the system must log the event in real-time analytics and update engagement metrics accordingly.

Instant Analyzer

Processes and aggregates post-survey feedback in real-time using intelligent algorithms. This feature simplifies data interpretation, offering clear and actionable insights immediately after survey completion, driving faster decision-making.

Requirements

Real-Time Data Aggregation

"As a market researcher, I want real-time analysis of survey responses so that I can quickly identify emerging trends and adjust my strategies without delay."

Description

Implement a real-time data aggregation engine that processes survey feedback as it comes in, leveraging intelligent algorithms to quickly summarize and analyze the data. This enables immediate insight generation, reduces waiting times for analysis, and supports quick decision-making by providing a consolidated view of responses in a matter of seconds.

Acceptance Criteria

Real-Time Processing

Given a completed survey submission, when the system receives feedback, then the aggregation engine must process and update the summary view within 3 seconds.

Concurrent Data Handling

Given multiple survey submissions occurring simultaneously, when the system aggregates incoming data, then it should maintain real-time performance without degradation in response time.

Data Accuracy Validation

Given feedback with varied answer formats, when the aggregation occurs, then the system must accurately summarize responses with an error margin of less than 5%.

User Dashboard Update

Given the completion of survey responses, when data aggregation is finalized, then actionable insights must be displayed in a user-friendly dashboard in real-time.

Social Media Data Integration

Given survey responses originating from social media channels, when aggregated, then the feedback must seamlessly integrate with other survey data to provide a consolidated analysis.

Intelligent Feedback Categorization

"As a market researcher, I want my survey feedback to be automatically categorized so that I can easily focus on high-priority insights and streamline my analytical process."

Description

Design and integrate an intelligent categorization system that automatically classifies survey responses based on sentiment, keywords, and topics. This functionality will help in quickly segmenting feedback, enabling easier interpretation and identification of critical areas that require attention, thereby improving overall data quality and relevance.

Acceptance Criteria

Sentiment Classification Accuracy

Given survey responses with varied sentiment, when processed by the intelligent categorization system, then responses must be accurately classified as positive, negative, or neutral with at least 90% accuracy.

Keyword Identification

Given survey responses containing relevant keywords, when analyzed by the system, then the categorization must extract and tag keywords matching predefined keyword lists with a success rate of 95%.

Real-Time Processing

Given the submission of survey responses, when the responses are processed by the categorization system, then the results must be available within 5 seconds of submission to ensure real-time insights.

Topic Segmentation

Given survey responses covering multiple topics, when processed, then the system should segment responses into topic-specific groups with an accuracy of at least 85% based on contextual analysis.

Error Handling and Edge Cases

Given responses with ambiguous or incomplete data, when processed, then the system should flag these responses for manual review and exclude them from automated categorization to maintain data quality.

Real-Time Analytics Dashboard

"As a market researcher, I want a real-time dashboard so that I can visualize and interpret survey results instantly, leading to prompt and data-driven decisions."

Description

Develop a dynamic and interactive analytics dashboard that displays aggregated survey data and categorized feedback in real-time. The dashboard should allow users to drill down into specific data segments, visualize trends instantly, and provide actionable insights, thereby enabling effective and timely decision-making.

Acceptance Criteria

Real-Time Data Feed

Given a completed survey submission, when the data is aggregated, then the analytics dashboard must update within 2 seconds in real-time.

Interactive Drill Down

Given that aggregated data is displayed, when a user selects a specific segment, then the dashboard displays detailed insights for that segment within 1 second.

Data Categorization Accuracy

Given incoming feedback responses, when the system processes the data, then it must categorize feedback accurately with at least 95% accuracy.

Visual Trends Analysis

Given real-time survey data, when trends begin to emerge, then the dashboard should visualize these trends using dynamic graphs and charts in real-time.

Seamless Social Media Integration

"As a market researcher, I want to connect my surveys with social media channels so that I can capture and analyze a wider range of feedback in real-time, ensuring more robust and representative insights."

Description

Integrate the Instant Analyzer feature with major social media platforms to automatically import survey responses generated from these channels. This will ensure comprehensive coverage of feedback data, immediate availability of social insights, and enhanced analysis by incorporating a broader range of audience responses into the analytics ecosystem.

Acceptance Criteria

Social Media Response Auto-Import

Given a survey is posted on a supported social media platform, when a user completes the survey via that platform, then the survey response is automatically imported into Instant Analyzer in real-time.

Aggregated Data Accuracy

Given multiple social media channels are used for survey distribution, when responses are imported, then Instant Analyzer should accurately aggregate all responses and display comprehensive feedback data.

Real-Time Data Processing Performance

Given a surge in survey responses during peak social media activity, when the responses are processed by Instant Analyzer, then the system must process and display feedback within 2 seconds per response.

Seamless Error Handling in Integration

Given an invalid or incomplete survey response received from a social media source, when the error is detected by Instant Analyzer, then the system should log the error, notify the administrator, and continue processing valid responses without disruption.

Agile Insights Dashboard

A dynamic visualization tool that presents the collected feedback in an easily digestible format. Users can monitor key sentiment trends, identify pressing issues, and adapt their survey strategies on the fly, ensuring optimum survey performance.

Requirements

Real-Time Data Integration

"As a market researcher, I want real-time data integration so that I can monitor ongoing survey responses immediately and adjust my strategies based on the most current information."

Description

Implement a mechanism that continuously feeds real-time survey data into the Agile Insights Dashboard. This ensures that all visualizations update dynamically as new responses are received, providing market researchers with the latest sentiment trends and actionable insights for quick decision-making.

Acceptance Criteria

Live Data Feed Activation

Given a new survey response is submitted, when the response is received, then the Agile Insights Dashboard must automatically reflect the update within 2 seconds.

Dynamic Dashboard Refresh

Given that the Agile Insights Dashboard is processing a high volume of live data, when multiple survey responses are continuously submitted, then the dashboard must update the displayed data dynamically without a lag exceeding 3 seconds.

Real-Time Sentiment Analysis Integration

Given a change in aggregated survey sentiment metrics, when new survey responses are integrated, then the dashboard must recalculate and update sentiment trend visualizations immediately to reflect the most current data.

Advanced Sentiment Analysis Visualization

"As a market researcher, I want advanced visualization of sentiment data so that I can quickly identify consumer trends and areas requiring attention."

Description

Develop interactive visualization components that display detailed sentiment analysis using dynamic graphs, charts, and heatmaps. This feature highlights emerging trends and key issues, making it easier for users to interpret complex data and derive actionable insights from survey feedback.

Acceptance Criteria

Real-time Data Rendering

Given new survey feedback is submitted, when advanced sentiment analysis processes the data, then the dynamic visualization components update to reflect current sentiment trends.

Interactive Trend Exploration

Given a user selects a specific sentiment trend, when interacting with the visualization components, then detailed breakdown views (graphs, charts, heatmaps) are displayed for deeper analysis.

Responsive Visualization Feedback

Given a variety of device screen sizes, when the dashboard loads, then the visualization components adjust layout and scale to maintain clarity and usability.

Error-Free Visualization Loading

Given a scenario of unstable or limited network connectivity, when the dashboard is accessed, then a meaningful error message is shown and the system recovers gracefully without crashing.

Dynamic Survey Strategy Controls

"As a market researcher, I want dynamic controls for adjusting survey strategies so that I can adapt to feedback trends in real time and enhance overall survey performance."

Description

Integrate interactive controls that allow users to modify survey parameters directly within the Agile Insights Dashboard. This feature enables market researchers to filter, segment, and adjust live survey settings on the fly, optimizing response rates and ensuring the survey data remains relevant and actionable.

Acceptance Criteria

Real-Time Parameter Adjustment

Given a user is viewing the Agile Insights Dashboard, when the 'Dynamic Survey Strategy Controls' are activated, then interactive controls for filtering, segmenting, and adjusting live survey settings are displayed and operational.

Live Data Filtering

Given a market researcher applies a filter through the interactive controls, when the filter is set, then the dashboard updates in real-time to display data only relevant to the selected criteria.

Segmented Survey Analysis

Given a researcher segments survey responses by demographic or behavior parameters, when the segmentation control is used, then the dashboard visualizations adjust dynamically to present segmented data accurately.

Immediate Feedback Integration

Given that a user adjusts survey parameters using the dashboard controls, when changes are executed, then the Agile Insights Dashboard reflects these modifications immediately in the key performance metrics and trends.

Adaptive Notification System

Sends automated alerts to survey creators when critical feedback indicators surpass predefined thresholds. This ensures that any significant concerns or trends are promptly addressed, allowing for agile and proactive adjustments.

Requirements

Threshold Customization

"As a survey creator, I want to customize feedback thresholds so that I receive alerts tailored to the unique performance metrics of my survey."

Description

Provide an intuitive interface that allows survey creators to customize the predefined thresholds for critical feedback indicators. This functionality should enable users to define what constitutes a critical level for various survey metrics, adjust sensitivity levels, and tailor notification triggers according to campaign specifics. This empowers users to align alerts with their unique survey parameters, reducing noise and ensuring only significant deviations prompt notifications.

Acceptance Criteria

Threshold Customization UI Access

Given a logged in survey creator is on the campaign dashboard, when they navigate to the Threshold Customization section, then the interface should load within 2 seconds and display all customizable fields.

Set Critical Feedback Threshold

Given a survey with critical feedback metrics, when the user inputs a new threshold value, then the system should validate the input and successfully store it in the database.

Adjust Sensitivity Levels

Given an active survey campaign, when the survey creator adjusts sensitivity levels and saves the changes, then the updated settings should immediately apply to the notification triggers.

Error Handling for Invalid Input

Given the user enters an invalid threshold value (e.g., non-numeric or out of allowed range), when they attempt to save, then the system should display a clear error message and prevent saving the changes.

Persistent Customization Across Sessions

Given a survey creator customizes threshold settings and logs out, when they log back in and access the Threshold Customization section, then all previously saved customizations should persist and display correctly.

Multi-channel Notifications

"As a survey creator, I want to receive notifications on different platforms so that I am always alerted to critical issues no matter where I am."

Description

Implement a flexible notification module that delivers alerts across multiple channels including email, SMS, and mobile push notifications. This integration ensures that survey creators can receive timely notifications regardless of their current device or location, thus increasing the chances of immediate action when critical feedback is detected.

Acceptance Criteria

Immediate Alert Delivery

Given a survey feedback indicator exceeds the threshold, when the notification module is triggered, then email, SMS, and push notifications are dispatched to the survey creator's registered channels within a 2-minute time frame.

Custom Channel Configuration

Given a survey creator configures their preferred notification channels, when an alert is triggered, then notifications must be sent only to the selected channels as per user settings.

Notification Accuracy

Given that multiple feedback alerts are generated, when notifications are dispatched, then each notification contains precise, real-time data relevant to the triggered alert.

Reliability Under Load

Given a surge in survey responses triggering several critical alerts simultaneously, when notifications are processed, then the system must reliably deliver all notifications without loss or delay.

Real-time Analytics Integration

"As a survey creator, I want to receive real-time alerts based on live survey data so that I can rapidly respond to feedback trends before they escalate."

Description

Seamlessly integrate the adaptive notification system with the real-time analytics dashboard to ensure that alerts are issued instantly as soon as survey data crosses critical feedback thresholds. This real-time integration minimizes delay between data collection and alert delivery, enabling a swift response to emerging trends or issues.

Acceptance Criteria

Instant Alert Triggering

Given the real-time analytics dashboard is receiving survey data; When the data crosses the critical feedback threshold; Then the adaptive notification system must instantly trigger an alert.

Real-Time Data Processing

Given the continuous flow of survey responses; When the incoming data updates the analytics dashboard; Then the dashboard should refresh in real-time (within 2 seconds) reflecting the latest feedback metrics.

Notification Accuracy

Given that a critical feedback threshold is reached; When the system assesses the data; Then the triggered alert must include accurate survey context and full details of the breached indicators.

System Performance Under Load

Given a high volume of simultaneous survey responses; When multiple feedback thresholds are breached concurrently; Then the integration must handle all alert notifications without lag or error.

User Notification Dashboard Update

Given that the adaptive notification system triggers an alert; When the alert is delivered; Then the real-time analytics dashboard should display the alert immediately with clear visual indicators.

Alert Summary Dashboard

"As a survey creator, I want a consolidated dashboard to review all triggered alerts so that I can easily analyze trends and recurring critical issues."

Description

Develop a centralized dashboard that aggregates all notifications and presents a clear summary of alert history, frequency, and types. This dashboard should incorporate filtering options and visual analytics to help survey creators quickly review past alerts and identify recurring issues, thus streamlining post-survey analysis and continuous improvement efforts.

Acceptance Criteria

Dashboard Data Aggregation

Given alerts are triggered by the notification system, when the survey creator logs into the Alert Summary Dashboard, then the dashboard presents a complete and chronological summary of all past notifications, including types, dates, and frequencies.

Filter Functionality

Given that multiple notifications are available on the dashboard, when the survey creator applies filter criteria based on date, alert type, or frequency, then the dashboard displays only the notifications that match the selected filters.

Visual Analytics Display

Given that the dashboard aggregates alert data, when the survey creator views the visual analytics section, then the charts and graphs accurately represent trends, frequencies, and alert types for clear interpretation.

Real-time Data Update

Given that new alerts are continuously generated, when a critical alert threshold is surpassed, then the Alert Summary Dashboard updates automatically in near real-time to include the latest notifications.

Automated Alert Escalation

"As a survey creator, I want unacknowledged alerts to be automatically escalated so that critical issues receive the attention they require promptly."

Description

Design an automated escalation protocol that increases the urgency of notifications if critical alerts remain unacknowledged for a specified period. This mechanism should involve re-sending notifications with higher priority levels and, if necessary, notifying additional team members to ensure that important survey feedback does not go unnoticed.

Acceptance Criteria

Initial Alert Notification

Given a critical alert is triggered, when the survey creator receives the notification, then the system records the timestamp and marks the alert as pending acknowledgment.

Priority Increase Notification

Given a critical alert remains unacknowledged for the predefined period, when the system escalates the alert, then the notification is re-sent with increased priority and a clear escalation flag.

Additional Team Notification

Given that a critical alert has been escalated and remains unacknowledged, when the escalation criteria meet the threshold, then additional team members receive the notification to ensure prompt attention.

Audit Logging and Timestamping

Given any escalation action is executed, when the notification is re-sent or additional alerts are dispatched, then all actions are logged with accurate timestamps and escalation statuses for traceability.

Feedback Heatmap

Visualizes sentiment distribution and feedback density over time, providing a clear snapshot of respondent emotions. This interactive heatmap helps pinpoint exact moments of strong positive or negative feedback, guiding precise improvements in survey content and strategy.

Requirements

Dynamic Sentiment Visualization

"As a market researcher, I want to view an interactive heatmap of response sentiment so that I can quickly identify patterns and optimize my survey strategy."

Description

Provides real-time interactive heatmap visualization of survey responses, mapping sentiment distribution across time intervals. This functionality allows market researchers to instantly pinpoint regions and moments with significant levels of positive or negative feedback, enabling rapid adjustments to survey content for maximum engagement and actionable insights. It integrates seamlessly with existing survey analytics tools to enhance overall user experience.

Acceptance Criteria

Real-Time Data Update

Given that survey responses are submitted, when the dynamic sentiment visualization is active, then the heatmap updates in real-time with a delay of no more than 2 seconds.

Interactive Drill Down

Given that a specific region on the heatmap is displayed, when the user clicks on that region, then detailed sentiment trends and feedback density information over time is shown.

Accurate Sentiment Distribution

Given that survey responses are processed, when the dynamic sentiment visualization renders the heatmap, then it accurately segments positive, neutral, and negative feedback based on predefined thresholds.

Seamless Integration

Given that SurveyQ analytics tools are in use, when the dynamic sentiment visualization is activated, then it integrates with these tools to display coherent and synchronized survey analytics data.

Performance Under Load

Given a high volume of survey responses, when the dynamic sentiment visualization processes data, then the heatmap maintains its interactive performance without significant lag.

Temporal Feedback Analysis

"As a researcher, I want to analyze feedback over specific time periods so that I can understand when and why responses vary, ensuring more effective survey timing and improvements."

Description

Captures and renders temporal trends in feedback by aggregating responses into distinct time intervals. This feature highlights peak engagement periods and sentiment spikes, enabling researchers to correlate survey events with respondent emotions and make informed adjustments to survey design. It supports advanced filtering and zooming capabilities for deeper analysis.

Acceptance Criteria

Real-Time Feedback Aggregation

Given survey responses are received continuously, when they are aggregated into defined time intervals, then the system must render a temporal heatmap highlighting peak engagement periods and sentiment spikes in real-time.

Interactive Filtering Application

Given a user applies a time interval filter, when the filter is activated, then the system must update the heatmap to display only the responses within the selected interval, with the update time under 2 seconds.

Zooming Feature for Detailed Analysis

Given the user triggers the zoom functionality on a specific time segment, when the zoom is executed, then the system should display enhanced, high-resolution details of feedback metrics within that interval.

Peak Sentiment Identification

Given real-time data collection, when peaks or troughs in sentiment are detected within any time interval, then the system must highlight the affected intervals with distinct color coding and present a notification for further analysis.

Interactive Data Drill-Down

"As a market researcher, I want to drill down into specific parts of the heatmap so that I can access detailed survey responses and understand the underlying context behind feedback trends."

Description

Enables users to click on specific areas of the heatmap to uncover underlying detailed survey data. By providing drill-down analytics, this feature empowers researchers to transition from a macro-level overview to micro-level insights such as individual comments and feedback frequency, reinforcing data-driven decision making. It integrates with the data backend to ensure minimal latency and smooth performance.

Acceptance Criteria

Heatmap Drill-down Initiation

Given the user is viewing the Feedback Heatmap, when they click on a specific area, then the system should display detailed survey data related to that area including individual comments and feedback frequency with a latency of less than 2 seconds.

Real-time Data Fetching

Given the user initiates a drill-down by clicking on the heatmap area, when the system queries the data backend, then it must return and display accurate drill down data within 2 seconds ensuring smooth performance.

Interactive Visual Highlighting

Given the user hovers over a specific heatmap section, when the system detects an interactive area, then it should visually highlight the segment with a distinct border or color change, confirming its interactivity.

Integration with Data Backend

Given the system is connected to the data backend, when the drill-down is executed, then the system must ensure data integrity by validating API responses and implementing error handling mechanisms.

User Navigation Post Drill-down

Given the detailed drill down view is displayed, when the user reviews the information, then the system should offer a clear navigation path back to the overall heatmap view without causing any loss of state or data.

Customizable Threshold Alerts

"As a researcher, I want to set threshold alerts for sentiment so that I receive real-time notifications when significant changes occur, allowing me to make timely survey adjustments."

Description

Allows users to set specific thresholds for sentiment scores, automatically triggering alerts when feedback surpasses or drops below defined levels. This proactive monitoring tool ensures immediate identification of significant changes in survey responses, enabling prompt corrective actions. The feature supports customizable alert settings and integrates with email and mobile notifications for real-time updates.

Acceptance Criteria

Threshold Alert Creation

Given the user navigates to the Customizable Threshold Alerts settings page, when they input specific threshold values for positive and negative sentiment scores and save the settings, then the system must confirm the changes with a success message.

Real-time Monitoring Alert Trigger

Given that survey responses are being processed in real-time, when the sentiment scores surpass the user-defined threshold (either above or below), then the system should automatically trigger notifications via both email and mobile within one minute.

Integration with Feedback Heatmap

Given that the Customizable Threshold Alerts are activated, when a significant sentiment change is detected and an alert is triggered, then the system must visually highlight the corresponding timestamp on the Feedback Heatmap with an indicator signifying an alert event.

Product Details

Vision & Mission

Problem & Solution

Details & Audience

User Personas

Collaborative Cara

Background

Needs & Pain Points

Needs

Pain Points

Psychographics

Channels

Trendsetting Trent

Background

Needs & Pain Points

Needs

Pain Points

Psychographics

Channels

Insightful Ivan

Background

Needs & Pain Points

Needs

Pain Points

Psychographics

Channels

Product Features

LiveSync Dashboard

Requirements

Instant Data Refresh

Description

Acceptance Criteria

Collaborative Editing Sync

Description

Acceptance Criteria

Trend Analytics Panel

Description

Acceptance Criteria

User Notification Alerts

Description

Acceptance Criteria

Instant Collaboration Hub

Requirements

Real-Time Chat Integration

Description

Acceptance Criteria

Collaborative Annotation System

Description

Acceptance Criteria

Instant Notification Alerts

Description

Acceptance Criteria

Data Synchronization and Backup

Description

Acceptance Criteria

Trend Tracker

Requirements

Real-Time Analytics Dashboard

Description

Acceptance Criteria

Interactive Trend Filters

Description

Acceptance Criteria

Customizable Data Visualizations

Description

Acceptance Criteria

Automated Trend Alerts

Description

Acceptance Criteria

Alert Insights

Requirements

Real-Time Data Monitoring

Description

Acceptance Criteria

Alert Customization Settings

Description

Acceptance Criteria

Notification Delivery System

Description