FleetWise

Create products with ease

Full.CX effortlessly transforms your ideas into product requirements.

Full.CX turns product visions into detailed product requirements. The product below was entirely generated using our AI and advanced algorithms, exclusively available to our paid subscribers.

Product Details

Name

FleetWise

Tagline

Optimize Your Fleet, Maximize Your Future

Sustainability Sarah

Name: Sustainability Sarah
Description: Sustainability Sarah is an eco-conscious Fleet Operations Executive keen on reducing the environmental impact of fleet management. She prioritizes sustainability without compromising efficiency. With FleetWise, she monitors emissions and fuel consumption while strategically planning for greener alternatives. Her typical day involves data analysis on fleet performance and regular updates with her team regarding sustainability initiatives, ensuring the company meets regulatory compliance and environmental goals.
Demographics: Age: 38, Gender: Female, Education: Master's in Environmental Management, Occupation: Fleet Operations Executive, Income Level: $90,000 annually.
Background: Raised in a family that valued environmental stewardship, Sarah followed her passion for sustainability into higher education. After starting her career in logistics, she transitioned to fleet operations with a focus on green practices. Sarah enjoys hiking and participating in community clean-up events, which strengthen her commitment to sustainability.
Psychographics: Sarah is driven by values of sustainability and corporate responsibility. She believes that businesses can positively impact the environment and community. Her lifestyle includes minimalism and supporting eco-friendly products. Sarah actively follows trends in electric vehicles, renewable energy sources, and sustainable practices in transportation.
Needs: Sarah needs tools that provide real-time data on emissions and fuel consumption, insights into alternative fuel options, and predictive analytics to prepare for maintenance while keeping her environmental goals in check.
Pain: Sarah often faces challenges with existing fleet management software, especially regarding data granularity on emissions. Incorporating sustainable practices while managing operational costs can create friction, complicating decision-making.
Channels: Sarah uses LinkedIn for professional networking, sustainability-focused webinars, and online courses. She follows industry blogs, environmental newsletters, and engages with influencers on social media who focus on corporate sustainability.
Usage: Sarah interacts with FleetWise daily, utilizing its capabilities to monitor fleet performance metrics, analyze sustainability reports, and strategize improvements in eco-friendly fleet management practices.
Decision: In her decision-making, Sarah weighs the long-term environmental impact against immediate operational costs. She is influenced by sustainability reporting frameworks, peer recommendations, and the overall reputation of products concerning eco-friendliness.

Data-Driven Dan

Name: Data-Driven Dan
Description: Data-Driven Dan is a Fleet Analyst who thrives on analytics and insights. His role revolves around leveraging data to optimize fleet performance and uncover cost-saving opportunities. He uses FleetWise's powerful data visualization tools to present findings to stakeholders, driving data-driven decisions within the company.
Demographics: Age: 30, Gender: Male, Education: Bachelor's in Data Science, Occupation: Fleet Analyst, Income Level: $70,000 annually.
Background: Growing up in a tech-savvy household, Dan was always fascinated by data. He pursued data science in college and began his career in logistics analytics. Outside of work, Dan enjoys participating in hackathons and exploring new technologies.
Psychographics: Dan is analytical, detail-oriented, and always seeks out the latest trends in technology and data analysis. He values efficiency and accuracy in his work. Passionate about sharing knowledge with peers, Dan often attends tech meetups and webinars focused on data analytics.
Needs: Dan requires access to real-time data, advanced analytical tools, and robust reporting features. He needs the ability to easily visualize data and share insights with team members and executives.
Pain: Dan struggles with integrating different data sources and often finds it challenging to compile reports in a user-friendly manner. Limited analytical capabilities in legacy systems have made it difficult to perform comprehensive analyses.
Channels: Dan regularly visits data science blogs, attends online data analytics webinars, and utilizes platforms like GitHub for programming resources. He is active on forums like Reddit to discuss data analytics challenges and solutions with peers.
Usage: Dan uses FleetWise multiple times a day, primarily to generate reports, visualize data, and analyze trends in fleet operations. He relies heavily on the platform's analytical features during monthly performance evaluations.
Decision: Dan’s decision-making process is heavily influenced by data integrity and IT recommendations. He seeks platforms that provide clear evidence of performance benefits and operational efficiencies, favoring tools with proven analytics capabilities.

Safety-Focused Sam

Name: Safety-Focused Sam
Description: Safety-Focused Sam is a Safety Officer tasked with maintaining compliance and ensuring the safety of fleet operations. He utilizes FleetWise to monitor driver behaviors, track incidents, and implement safety training programs. Sam's goal is to create a culture of safety that minimizes accidents and protects employees.
Demographics: Age: 45, Gender: Male, Education: Bachelor's in Occupational Safety, Occupation: Safety Officer, Income Level: $75,000 annually.
Background: Sam spent his early years working on the front lines of fleet operations before moving into safety management. His on-the-job experience has given him invaluable insights into the practical aspects of vehicle safety and regulation compliance. He enjoys coaching sports and conducting safety presentations.
Psychographics: Sam believes that a proactive approach to safety is essential in the fleet industry. He values continuous improvement and is motivated to foster a culture of accountability. Sam is passionate about educating others on safety practices and believes in leading by example.
Needs: Sam needs tools that allow him to track and analyze driver behavior, assess compliance with safety regulations, and conduct training programs efficiently. Accurate reporting capabilities are crucial for him to evaluate safety risks and develop mitigation strategies.
Pain: Sam often encounters issues with precarious driver habits that are difficult to monitor through traditional means. He struggles with generating actionable insights from data gathered on safety incidents and training effectiveness.
Channels: Sam engages in industry-related safety conferences, online safety training resources, and networking groups. He also follows regulatory bodies on social media and subscribes to industry-specific safety publications for updates.
Usage: Sam uses FleetWise several times a week to monitor safety metrics, conduct safety training assessments, and generate required compliance reports. He finds the dashboard particularly useful for tracking overall fleet safety performance.
Decision: Sam bases his decisions on compliance requirements, incident statistics, and input from the fleet operations team. His choices are influenced by best practices in safety management and the effectiveness of past training programs.

Cost-Conscious Carla

Name: Cost-Conscious Carla
Description: Cost-Conscious Carla is a Finance Manager who focuses on managing the fleet's operational costs. She leverages FleetWise to analyze expenditures, review budget allocations, and find opportunities for cost savings. Carla’s ultimate goal is to ensure that fleet operations remain within budget while maximizing efficiency.
Demographics: Age: 40, Gender: Female, Education: MBA in Finance, Occupation: Finance Manager, Income Level: $85,000 annually.
Background: With a strong background in finance, Carla transitioned from general accounting to fleet management financial analysis. Growing up in a frugal family, she developed a keen sense for budgeting and cost-saving measures. In her spare time, Carla enjoys cooking and volunteering for local charities.
Psychographics: Carla values financial responsibility and is motivated by the need to make sound fiscal decisions that benefit the company's bottom line. She is detail-oriented and prefers clear, actionable insights that help inform her budgeting processes.
Needs: Carla needs real-time cost tracking and historical financial data on fleet operations. She seeks advanced reporting tools that enable her to conduct thorough comparative analyses of expenses and provide regular updates to executives about financial allocations.
Pain: Carla often finds it difficult to obtain accurate, consolidated data from various departments. The lack of intuitive financial reporting can hinder her ability to make informed decisions swiftly.
Channels: Carla follows financial management online forums, subscribes to fleet management publications, and attends finance-specific webinars. She also networks with finance professionals on LinkedIn for updates and strategies.
Usage: Carla utilizes FleetWise weekly to compile financial reports and track expenditures. She frequently checks the financial dashboards to ensure budget alignment and monitors fleet costs closely.
Decision: Decisions made by Carla are primarily influenced by budget constraints, financial forecasting data, and departmental goals. She favors solutions that demonstrate clear ROI and cost-saving capabilities.

Tech-Savvy Tom

Name: Tech-Savvy Tom
Description: Tech-Savvy Tom is an IT Manager responsible for overseeing the implementation and maintenance of FleetWise within the organization. He ensures that the software runs smoothly and meets the tech needs of different users, from drivers to analysts. Tom is always on the lookout for integrations that enhance the platform’s capabilities.
Demographics: Age: 32, Gender: Male, Education: Bachelor's in Computer Science, Occupation: IT Manager, Income Level: $80,000 annually.
Background: Tom developed a passion for technology early on, teaching himself programming. After earning his degree, he started his career in IT management in a logistics company. Tom loves building custom applications and is an avid gamer in his free time, integrating his technical skills with his interests.
Psychographics: Tom is a problem-solver who thrives on keeping technology running efficiently. He values collaboration with other departments to help tailor the software to various team needs. His personal passions are closely tied to technology, with a strong interest in emerging tech trends.
Needs: Tom needs reliable tech support features, documentation on software updates, and mechanisms for user feedback to enhance the system’s functionality. He wants to ensure that FleetWise integrates seamlessly with other technology solutions used by the company.
Pain: Tom struggles with user adoption and resistance to new technologies. He also faces challenges in ensuring the software integrates properly with external applications and data management systems.
Channels: Tom often engages with tech forums, online programming communities, and sets alerts for software development updates. He frequently attends tech and software implementation conferences to stay informed about industry trends.
Usage: Tom interacts with FleetWise daily, managing system updates and assessments of user needs. He ensures troubleshooting support is available and monitors usage statistics to gauge adoption rates.
Decision: In Tom's decision-making, he considers user requirements, system capabilities, and feedback from team members. He also weighs the potential benefits of technological integrations against operational costs and user experience.

Product Ideas

Eco Route Optimization: Eco Route Optimization leverages real-time data and AI algorithms to calculate the most fuel-efficient routes for each vehicle in the fleet, minimizing environmental impact and reducing fuel costs. This feature integrates seamlessly with FleetWise's existing tracking capabilities to provide insights for drivers and fleet managers alike, ensuring greener journeys without sacrificing delivery efficiency.
Predictive Maintenance Alerts: Predictive Maintenance Alerts utilize machine learning algorithms to analyze vehicle performance data and predict when maintenance is due. This functionality proactively notifies Vehicle Maintenance Technicians and Fleet Operations Managers, allowing them to schedule maintenance before breakdowns occur, thus minimizing the risk of costly downtime and enhancing operational efficiency.
Driver Efficiency Scorecard: The Driver Efficiency Scorecard provides real-time performance analytics for individual drivers, highlighting metrics such as fuel efficiency, route compliance, and safety incidents. This feature aims to incentivize safe and economical driving behaviors among drivers while offering Fleet Operations Managers insights to tailor training programs, ultimately driving down costs and enhancing safety.
Sustainability Dashboard: The Sustainability Dashboard serves as a comprehensive platform for Fleet Operations Managers to monitor emissions, fuel consumption, and overall environmental impact. By integrating with FleetWise's data analytics, it offers actionable insights and reports that support sustainability initiatives, allowing companies to meet regulatory compliance while making informed decisions for greener fleet practices.
Mobile Maintenance App: The Mobile Maintenance App allows Vehicle Maintenance Technicians to access FleetWise data on-the-go, facilitating real-time updates on vehicle conditions, maintenance schedules, and repair histories. This feature streamlines communication between technicians and fleet managers, improving response times for vehicle repairs and maintenance.
Blockchain Authentication for Vehicle Compliance: Blockchain Authentication for Vehicle Compliance uses blockchain technology to securely record maintenance histories and compliance documents for each vehicle. This feature ensures transparent and verifiable documentation, simplifying compliance audits and enhancing trust among stakeholders in the transportation supply chain.
Customizable Analytics Reports: Customizable Analytics Reports allow Fleet Analysts and Executive Leadership to generate tailored analytics reports based on specific metrics relevant to their roles. By empowering users to create reports that suit their individual needs, this feature enhances data-driven decision-making and supports strategic planning across the organization.

Product Features

Green Fleet Analyzer

The Green Fleet Analyzer provides Fleet Operations Managers with insights into vehicle performance through the lens of fuel efficiency and emissions. By analyzing vehicle data, this feature identifies the most eco-friendly vehicles within the fleet, enabling managers to make informed decisions on vehicle usage and allocation, promoting a greener overall fleet strategy.

Requirements

Fuel Efficiency Dashboard

User Story: As a Fleet Operations Manager, I want to view the real-time fuel consumption of all vehicles so that I can identify which vehicles are most efficient and take action to improve overall fleet performance.
Description: The Fuel Efficiency Dashboard allows Fleet Operations Managers to visualize and monitor the fuel consumption of all vehicles in the fleet in real-time. It aggregates data on fuel usage, comparisons to historical data, and benchmarks against industry standards, helping managers to identify trends, anomalies, and areas for improvement. This requirement is crucial for enabling proactive management of fuel consumption, ultimately contributing to sustainability goals and cost reduction for the operation.
Acceptance Criteria: Fuel Efficiency Monitoring for Real-Time Analysis

Given the Fleet Operations Manager is logged into the Fuel Efficiency Dashboard, When they select a specific vehicle from the fleet, Then the dashboard displays real-time fuel consumption metrics for that vehicle, including current usage, historical comparisons, and industry benchmarks.

Visual Representation of Fuel Trends Over Time

Given the Fleet Operations Manager is on the Fuel Efficiency Dashboard, When they choose the time frame for analysis (daily, weekly, monthly), Then the dashboard generates and displays a graphical representation showing fuel consumption trends over that period, highlighting any significant changes or anomalies.

Benchmarking Against Industry Standards

Given the Fuel Efficiency Dashboard is populated with vehicle data, When the Fleet Operations Manager accesses the benchmarking feature, Then the dashboard shows a clear comparison of the fleet’s average fuel efficiency against relevant industry standards and averages.

Alerts for Fuel Consumption Anomalies

Given the Fuel Operations Managers has set anomaly detection thresholds, When the dashboard identifies fuel consumption exceeding the thresholds, Then the system automatically generates and sends alerts to the manager's mobile device and email.

Data Export for Reporting

Given the Fleet Efficiency Dashboard is displaying fuel consumption data, When the Fleet Operations Manager clicks on the export option, Then the system exports the data into a CSV format for reporting purposes without errors.

Multi-Vehicle Comparison Feature

Given the Fleet Operations Manager is analyzing multiple vehicles, When they select more than one vehicle for comparison, Then the dashboard displays side-by-side fuel consumption metrics for the selected vehicles, allowing for easy identification of performance differences.

Integration with Predictive Maintenance Analytics

Given the Fuel Efficiency Dashboard is connected to the predictive maintenance analytics, When a vehicle shows increased fuel consumption, Then the system suggests a maintenance check and provides the corresponding metrics related to maintenance history.

Emission Reporting

User Story: As a Fleet Operations Manager, I want to generate emission reports for my fleet so that I can comply with environmental regulations and identify areas for improving our fleet's eco-friendliness.
Description: The Emission Reporting feature generates detailed reports on emissions produced by each vehicle in the fleet, categorizing data by vehicle type, model, and usage patterns. This functionality helps Fleet Operations Managers understand the environmental impact of their fleet and comply with regulations by providing necessary data for audits and reporting to stakeholders. With effective emission tracking, managers can make informed decisions regarding fleet optimization and investment in greener technologies.
Acceptance Criteria: Fleet Operations Manager views the emission report for a specific vehicle to assess its environmental impact.

Given a Fleet Operations Manager, when they access the Emission Reporting feature, then they should be able to view emissions data categorized by vehicle type, model, and usage patterns for the selected vehicle.

Fleet Operations Manager generates a comprehensive emissions report for the entire fleet to present to stakeholders.

Given a Fleet Operations Manager, when they request to generate a report for all vehicles, then the system should produce a detailed report summarizing emissions by vehicle type and model, including total emissions for the fleet over a specified time period.

Fleet Operations Manager reviews emissions data to identify vehicles with the highest emissions for targeted optimization efforts.

Given a Fleet Operations Manager, when they navigate to the emissions report, then they should be able to sort and filter the data to identify the top 10 vehicles with the highest emissions.

Fleet Operations Manager schedules regular emission reports to be sent to stakeholders.

Given a Fleet Operations Manager, when they set up a report schedule, then the system should allow them to select frequency and recipients, and automatically send the emission reports at the designated times.

Fleet Operations Manager analyzes historical emissions data to track improvements and compliance over time.

Given a Fleet Operations Manager, when they access historical emissions reports, then they should be able to visualize trends in emissions data over specified intervals (e.g., monthly, quarterly) to assess compliance with environmental standards.

Fleet Operations Manager exports the emissions report for external auditing and compliance checks.

Given a Fleet Operations Manager, when they choose to export the emissions report, then the system should allow them to download the report in multiple formats (e.g., PDF, CSV) for external use.

Eco-Friendly Vehicle Recommendations

User Story: As a Fleet Operations Manager, I want to receive recommendations for the most eco-friendly vehicles in my fleet so that I can maximize efficiency and minimize our environmental footprint.
Description: This feature suggests the most eco-friendly vehicles within the fleet based on real-time performance data, including fuel efficiency and emissions metrics. By applying AI-driven analytics, it evaluates the fleet's operational data and recommends optimal vehicles for specific routes or tasks that minimize environmental impact. This capability aids Fleet Operations Managers in enhancing fleet sustainability and optimizing vehicle utilization.
Acceptance Criteria: Fleet Operations Manager reviews a monthly report for eco-friendly vehicle performance.

Given the Fleet Operations Manager accesses the report, when they review the eco-friendly vehicle recommendations, then the report should display a list of at least five vehicles identified as eco-friendly based on fuel efficiency and emissions data.

A Fleet Operations Manager is tasked with optimizing vehicle allocation for an upcoming delivery route.

Given the user selects a specific delivery route, when the AI processes the route and vehicle data, then it should recommend the top three eco-friendly vehicles that provide optimal fuel efficiency and lowest emissions for that route.

A Fleet Operations Manager wants to compare the fuel efficiency of different vehicles in the fleet under similar operational conditions.

Given the manager inputs parameters for a comparative analysis, when the system processes the data, then it should generate a comparison report that highlights the fuel efficiency and emissions metrics of the selected vehicles, ranked from highest to lowest efficiency.

Fleet Operations Manager initiates a query regarding the environmental impact of vehicle usage over the last quarter.

Given the manager requests a quarterly environmental impact report, when the data is compiled, then the report should detail the fuel consumption, CO2 emissions, and the number of trips made by the eco-friendly vehicles, along with recommendations for improvement.

A Fleet Operations Manager checks the real-time performance data of vehicles in the fleet.

Given the manager navigates to the real-time performance dashboard, when they filter the view for eco-friendly vehicles, then the dashboard should display live data on fuel efficiency and emissions metrics for all eco-friendly vehicles currently in operation.

Fleet Operations Manager adjusts route settings based on eco-friendly recommendations.

Given the manager adjusts the routing settings in the system, when they apply the eco-friendly vehicle filters, then the updated routes should automatically suggest the most fuel-efficient vehicles based on the new criteria, ensuring minimal environmental impact.

Smart Route Optimization

User Story: As a Fleet Operations Manager, I want the system to optimize routes for our vehicles based on fuel efficiency so that I can reduce travel time and lower emissions while satisfying customer needs.
Description: Smart Route Optimization analyzes historical route data alongside real-time traffic and environmental data to suggest optimal routes for fleet vehicles. This ensures that selected routes minimize fuel consumption and emissions while maintaining service level agreements. Additionally, this requirement enhances overall operational efficiency by reducing travel time and fuel costs, contributing directly to fleet sustainability objectives.
Acceptance Criteria: Fleet Operations Manager requests optimized route suggestions for a delivery trip based on real-time traffic conditions and historical performance data.

Given the Fleet Operations Manager selects a delivery destination, when the Smart Route Optimization feature is activated, then the system should present three optimized routes ranked by lowest fuel consumption and shortest travel time.

Fleet Operations Manager needs to analyze the performance of multiple routes taken by drivers over the past month to determine the most efficient options.

Given the historical route data for the past month, when the Fleet Operations Manager accesses the route analysis report, then the report should display fuel efficiency, travel time, and emissions data for each route.

The Fleet Operations Manager is checking the real-time status of vehicles on different routes to make live adjustments based on traffic updates.

Given the Smart Route Optimization is live, when real-time traffic data indicates a delay on the chosen route, then the system should automatically suggest an alternative route to the Fleet Operations Manager within two minutes.

Fleet Operations Manager conducts a weekly review of fleet performance to ensure routes are effectively reducing costs and emissions as intended.

Given the Fleet Operations Manager views the weekly performance dashboard, when the Smart Route Optimization has been applied, then the dashboard should display at least a 15% reduction in average fuel consumption and travel time for the selected routes over the previous week.

A driver is on the road and needs to receive an updated route recommendation due to sudden road construction that affects their current path.

Given the driver is en route and the Smart Route Optimization is operational, when the system detects that the current route is compromised, then the driver should receive an immediate notification on their device with a new recommended route to minimize delays.

Driver Eco-Training Module

User Story: As a Fleet Operations Manager, I want my drivers to receive training on eco-friendly driving practices so that we can collectively reduce fuel consumption and emissions across the fleet.
Description: The Driver Eco-Training Module provides educational resources and training programs aimed at improving drivers' fuel-efficient driving habits. This feature monitors driving behavior and delivers feedback and training materials tailored to individual drivers. Enhancing driver performance directly contributes to reduced fuel consumption and lower emissions, fostering a culture of sustainability within the fleet management team.
Acceptance Criteria: Driver participates in the Eco-Training Module after receiving his monthly performance report outlining his fuel consumption and driving habits.

Given a driver receives a personalized performance report, when they access the Eco-Training Module, then the driver should view training materials tailored to their specific driving behaviors within 2 minutes.

Fleet Operations Manager reviews the effectiveness of the Eco-Training Module based on the changes in driving behavior metrics over a specified period.

Given the Fleet Operations Manager views the driving behavior metrics report, when they filter the data for drivers who completed the Eco-Training Module, then the report should show at least a 15% improvement in average fuel economy for those drivers compared to the previous month.

The Eco-Training Module provides feedback to drivers regarding their performance improvements after completing the training sessions.

Given a driver completes the Eco-Training Module, when they log in to the system, then they should receive a summary of their performance improvements and areas of further development within the next week.

New drivers join the fleet and require onboarding through the Eco-Training Module with a focus on fuel-efficient driving.

Given a new driver is added to the system, when they start their onboarding process, then they should be automatically enrolled into the Eco-Training Module and receive the introductory training materials within 24 hours.

The Eco-Training Module tracks and stores all training completions and performance feedback for compliance and reporting purposes.

Given the Eco-Training Module is in use, when an administrator requests a report on training completions for audit purposes, then the system should generate a report that includes all completed trainings and individual driver performance feedback within 5 minutes.

A driver receives reminders and updates about the Eco-Training Module and its importance in enhancing sustainable driving practices.

Given a driver has not logged into the Eco-Training Module for 14 days, when the system sends a reminder, then the driver should receive an email notification highlighting the benefits of the module and links to the training materials immediately afterwards.

The Eco-Training Module adapts its content based on the driver's specific fuel efficiency improvements.

Given a driver shows consistent improvement in fuel efficiency over two months, when they log into the Eco-Training Module, then the training content should automatically adjust to include advanced eco-driving techniques to build on their current skills within 48 hours.

Traffic-Conscious Routing

Traffic-Conscious Routing employs real-time traffic data to dynamically adjust routes, ensuring that cars are directed through paths with the least congestion. By optimizing routes based on current traffic conditions, this feature helps reduce idling time and fuel consumption, leading to more sustainable driving practices without delaying delivery schedules.

Requirements

Real-Time Traffic Data Integration

User Story: As a fleet manager, I want the system to provide real-time traffic updates so that I can adjust routes promptly and minimize delays caused by congestion.
Description: Integrate real-time traffic data from various sources to provide accurate and timely information about traffic conditions. This feature should access APIs and utilize machine learning algorithms to analyze traffic patterns and predict congestion. By implementing this integration, FleetWise will allow dynamic route adjustments based on current traffic, ensuring vehicles are always directed through the most efficient paths. The outcome will enhance route optimization and reduce common delays caused by unexpected traffic conditions.
Acceptance Criteria: Real-time traffic data retrieval during fleet operations.

Given the system is operational, when a vehicle is en route, then it should access real-time traffic data from multiple APIs every 5 minutes and provide updates on traffic conditions ahead.

Dynamic route adjustment based on traffic congestion.

Given that traffic data indicates congestion ahead, when the system identifies an optimal alternative route, then it should automatically update the vehicle's navigation to reflect this new route within 30 seconds.

Accuracy of traffic data analysis using machine learning.

Given a set of historical traffic data, when relayed through the machine learning model, then the predicted congestion should be within 10% accuracy of actual recorded data for the past month.

User feedback on route adjustments based on traffic data.

Given that a delivery driver receives a re-routed direction based on traffic data, when the driver completes the route, then they should provide feedback indicating whether the adjustment improved travel time or not, with at least 80% satisfaction rate among drivers surveyed.

Integration of multiple traffic data sources.

Given that the system has access to at least three different traffic data APIs, when evaluating traffic conditions, then it should successfully aggregate and analyze data without any errors occurring in 95% of instances.

Performance impact assessment of real-time data integration.

Given the fleet management application is receiving real-time traffic data, when tested under simulated peak conditions, then system response time should not exceed 2 seconds for data retrieval and processing decisions.

User interface for displaying traffic-related alerts to drivers.

Given the vehicle is in transit, when a traffic alert is issued, then the system should notify the driver via the dashboard within 2 seconds and display the nature of the alert clearly for immediate action.

Dynamic Route Adjustment

User Story: As a driver, I want my route to automatically adjust during my trip based on current traffic conditions so that I can avoid delays and reduce fuel usage.
Description: Create a system for dynamically adjusting planned routes based on incoming real-time traffic data. This requirement involves developing algorithms that can recalculate routes on the fly, considering vehicle location, destination, and current traffic conditions. The goal is to minimize travel time and fuel consumption by directing vehicles through less congested areas while ensuring timely deliveries. This capability will greatly enhance operational efficiency and sustainability.
Acceptance Criteria: Vehicle encounters a traffic jam during a scheduled route, triggering the dynamic route adjustment system.

Given a vehicle is on a scheduled route, when real-time traffic data indicates heavy congestion on the current path, then the system should automatically reroute the vehicle to an alternative path with lower traffic congestion and provide an estimated time of arrival that is shorter than the original route.

A driver prepares to start a trip using the FleetWise application to receive dynamic routing.

Given a driver has logged into the FleetWise dashboard and entered a destination, when the trip starts, then the system should calculate and display the optimal route based on current traffic conditions and provide updates every 5 minutes if traffic conditions change.

After a vehicle has started its route, a sudden traffic accident occurs, impacting the current route.

Given a vehicle is actively traveling on a route, when the system detects a traffic accident on the route, then the dynamic routing algorithm must trigger a new route calculation within 30 seconds to minimize delay and reduce fuel consumption.

The fleet manager reviews performance metrics for vehicles utilizing the dynamic route adjustment feature.

Given the fleet manager accesses the performance dashboard, when reviewing reports for the last month, then the manager should see at least a 20% reduction in average travel time and a 15% drop in fuel consumption for vehicles that used the dynamic routing feature.

A user queries the FleetWise system to understand how the dynamic route adjustment feature has enhanced route efficiency.

Given a user asks for a report on the system's routing efficiency, when the report is generated, then it should include data showing a minimum of 25% of routes adjusted due to traffic in the past month and that these adjustments resulted in a time savings of at least 10% compared to pre-adjustment times.

A technician tests the dynamic route adjustment system under varying traffic conditions.

Given the technician simulates different traffic scenarios, when the system is under test, then it should accurately adjust routes at least 90% of the time in response to traffic data updates during the simulation, ensuring that delivery schedules are maintained.

User Notifications for Route Changes

User Story: As a fleet manager, I want to receive notifications when my drivers' routes change due to traffic so that I can keep clients informed about delivery times.
Description: Implement a notification system that alerts users (drivers and fleet managers) about any significant route changes due to traffic conditions. Notifications should be sent through the mobile app and dashboard, ensuring immediate awareness of potential delays or route adjustments. This feature will enable drivers to stay informed and clients to have updated estimates on delivery times, enhancing overall communication and service quality.
Acceptance Criteria: Driver Notification of Route Changes due to Traffic Conditions

Given a route is being adjusted due to real-time traffic data, when the notification is triggered, then the driver receives an in-app alert and a push notification on their mobile device regarding the updated route.

Fleet Manager Update on Route Changes

Given a significant route change has been made due to traffic conditions, when the notification is sent, then the fleet manager should receive an alert on their dashboard and via email with details of the changes.

User Receipt of Timely Notifications Before Departure

Given that the route for a driver has changed significantly, when the driver is scheduled to depart, then they receive a notification at least 10 minutes prior to the scheduled time to allow for adjustments.

Integration of Route Changes into User Experience

Given that route changes are communicated, when a user (driver or fleet manager) views the updated route in the app or dashboard, then they should see the new route plotted with a comparison to the previous route.

User Feedback on Notification Effectiveness

Given that users receive notifications about route changes, when they are prompted to provide feedback after their delivery, then at least 80% of users should report that the notifications were clear and timely.

Monitoring of Notification Delivery Success Rate

Given that notifications are sent for route changes, when the system logs the notifications sent, then at least 95% of notifications should be successfully delivered to intended users.

System Responsiveness During High Traffic Alerts

Given that multiple route changes are occurring simultaneously due to intense traffic, when the system processes these changes, then it should deliver notifications within 2 minutes of the change being logged.

Historical Traffic Data Analysis

User Story: As a fleet analyst, I want to analyze historical traffic patterns so that I can improve future route planning and avoid areas prone to congestion.
Description: Develop a feature that utilizes historical traffic data to improve routing algorithms. By analyzing patterns in past traffic congestions, the system can better predict potential delays during different times of the day or week. This will help refine dynamic routing strategies and improve overall efficiency, allowing for proactive route planning and minimizing impacts from recurring traffic issues.
Acceptance Criteria: Historical Traffic Data is analyzed during peak hours to adjust routes for delivery trucks based on past congestion trends.

Given that the system receives historical traffic data, when the traffic analysis is performed during defined peak hours, then the routing algorithm should adjust routes to minimize expected delays by at least 15% compared to current routing methods.

FleetWise is used to generate daily delivery routes for different times of the day, ensuring that historical traffic patterns are taken into account to optimize those routes.

Given that the user selects a delivery time and date, when the system generates routes, then the routes should be optimized using historical traffic data, resulting in estimated delivery times that do not exceed previous averages by more than 10 minutes.

A fleet manager wants to evaluate the effectiveness of the new routing algorithm that incorporates historical traffic data over a month of usage.

Given that the new routing algorithm has been deployed, when the fleet manager reviews the monthly performance report, then the report should show a reduction in average fuel consumption by at least 10% and an increase in on-time deliveries by 20% compared to the previous month.

Drivers utilize FleetWise for route navigation, receiving alerts for potential delays based on both historical and real-time traffic data.

Given that a driver is using the navigation feature, when they receive route updates, then the system should notify the driver of any expected delays exceeding 5 minutes based on historical data, allowing for route adjustments to be made proactively.

A software release is performed to implement the historical traffic data analysis feature, impacting how routes are created and adjusted dynamically.

Given that the software release is completed, when the fleet operates with the new feature, then at least 90% of routes should be based on the historical analysis being utilized in real-time by the routing algorithm.

Stakeholders expect to validate that routes generated for peak delivery times are efficient and less congested due to historical traffic insights.

Given that the routes are generated at peak times, when stakeholder feedback is collected, then at least 80% of stakeholders should report improved satisfaction regarding route efficiency and reduced delivery delays compared to previous methods.

Eco-Friendly Route Suggestions

User Story: As a fleet manager, I want the option to choose eco-friendly routes so that I can enhance sustainability efforts while managing fleet operations.
Description: Introduce an eco-friendly routing option that prioritizes routes based on minimizing fuel consumption and emissions rather than just travel time. This feature will work in conjunction with the Traffic-Conscious Routing and will suggest alternative routes that, although potentially longer in time, are more sustainable. This requirement aligns with FleetWise’s commitment to promoting sustainability within fleet operations.
Acceptance Criteria: When a fleet manager utilizes the FleetWise platform to generate route suggestions for a delivery task involving multiple stops during peak traffic hours.

Given the delivery task is initiated, When the fleet manager selects the eco-friendly routing option, Then the system should provide alternative routes that reduce fuel consumption by at least 15% compared to the quickest route available.

When a driver receives eco-friendly routing suggestions from the FleetWise mobile application while on route to a delivery destination.

Given the driver is on a current route, When the Traffic-Conscious Routing identifies heavy congestion, Then the system should automatically suggest an alternative eco-friendly route that prioritizes minimizing emissions despite a potential increase in travel time.

When the fleet management team analyzes monthly reports on fuel consumption and emission levels in relation to the use of the eco-friendly routing feature.

Given the monthly report is generated, When the eco-friendly routing feature is utilized for at least 50% of deliveries, Then the report should show a reduction in overall fuel consumption by at least 10% within the month.

When a driver manually selects the eco-friendly routing option through the FleetWise app before starting their shifts.

Given the driver has the option to select the route preference, When the eco-friendly routing option is selected, Then the app should prioritize routes that reduce carbon emissions while providing estimated additional travel time for the selected route.

When new drivers are trained to use the FleetWise application for route optimization and eco-friendly routing at their onboarding session.

Given the training session is conducted, When drivers complete the training, Then at least 90% of drivers should be able to demonstrate understanding of how to access and utilize the eco-friendly routing feature successfully during hands-on exercises.

When the FleetWise system updates its routing algorithms to include recent environmental data for more accurate eco-friendly suggestions.

Given the environmental data is updated, When the fleet manager requests eco-friendly routing suggestions, Then the system should incorporate the latest data ensuring suggestions are relevant and effective in reducing emissions as compared to previous suggestions.

Multimodal Optimization

Multimodal Optimization assesses various transportation modes (such as road, rail, or water) for specific routes, providing insights on when to leverage alternative methods for lower emissions. This feature enables Fleet Operations Managers to optimize not only road routes but also overall transportation strategies for eco-friendliness.

Requirements

Real-Time Mode Assessment

User Story: As a Fleet Operations Manager, I want real-time insights into transportation modes so that I can make quick decisions to optimize routes and reduce emissions.
Description: The Real-Time Mode Assessment requirement enables FleetWise to continuously assess various transportation modes in real-time. This functionality involves integrating data sources to evaluate current road, rail, and water conditions, providing Fleet Operations Managers with instant feedback on the most suitable transportation mode for each shipment. By real-time analysis, this feature helps reduce delays, improve operational efficiency, and decrease emissions, making it an integral part of the overall Multimodal Optimization strategy.
Acceptance Criteria: As a Fleet Operations Manager, I want to receive a real-time notification when a shipment route's conditions change, so that I can quickly assess and adapt the transportation mode accordingly.

Given I am monitoring a specific shipment, when the route conditions change based on real-time data, then I should receive an immediate alert indicating the recommended transportation mode.

As a Fleet Operations Manager, I need to compare the emissions levels of different transportation modes for a specific route, so that I can make informed decisions that promote sustainability.

Given the system has data on current road, rail, and water conditions, when I select a specific shipment route, then I should see a comparison chart of emissions levels for each transportation mode.

As a Fleet Operations Manager, I want to access historical data on transportation mode performance, so that I can refine my strategies for future shipments.

Given I request historical performance data, when I navigate to the analysis section of FleetWise, then I should be able to view comprehensive reports highlighting the efficiency and emissions of all transportation modes.

As a Fleet Operations Manager, I want the system to suggest alternative transportation modes automatically when certain thresholds are met, such as travel time or emissions levels exceeding limits during real-time assessment.

Given the real-time assessment is in progress, when any transportation mode exceeds specified thresholds, then the system should automatically prompt me with alternative mode suggestions.

As a Fleet Operations Manager, I need to integrate third-party traffic data into the real-time assessment, so that I can enhance the decision-making process for transportation modes.

Given I have connected to third-party traffic data sources, when assessing current route conditions, then FleetWise should utilize this data to provide accurate mode assessments.

As a Fleet Operations Manager, I want to visualize the impact of using different transportation modes on delivery times and costs, so that I can optimize my fleet's operational efficiency.

Given I select various transportation modes for comparison, when viewing the assessment results, then I should see a detailed visualization of estimated delivery times and costs for each mode.

As a Fleet Operations Manager, I want to analyze the cost savings from using alternative transportation modes based on real-time assessments, to guide my future operational strategies.

Given I have performed a real-time mode assessment, when I review the results, then I should see a calculated summary showing the potential cost savings from selecting alternative transportation modes.

Carbon Emission Tracking

User Story: As a Fleet Operations Manager, I want to track carbon emissions for each route so that I can report on sustainability efforts and identify areas for improvement.
Description: This requirement focuses on the ability of FleetWise to track and report on carbon emissions associated with different transportation routes and modes. By integrating an emissions calculator that considers various factors such as vehicle type, load weight, and fuel type, FleetWise can provide Fleet Operations Managers with detailed insights on the environmental impact of their transportation strategies. This feature is essential for helping companies meet sustainability goals and regulatory requirements.
Acceptance Criteria: Carbon Emission Report for a Selected Route using Different Vehicle Types

Given a fleet manager selects a specific route and vehicle type, When the emissions calculator processes the data, Then a detailed carbon emissions report should be generated showing emissions per vehicle type based on provided metrics.

Comparison of Emissions Across Multiple Transportation Modes

Given a fleet manager inputs a route with one or more transportation modes, When the system generates a comparative emissions report, Then the report should display emissions data for each mode side-by-side for easy analysis.

Integration of Load Weight Impact on Emissions Calculation

Given a fleet manager inputs a vehicle's load weight, When the emissions calculator analyzes the data, Then the output should reflect changes in carbon emissions depending on load weight variations within an acceptable range.

Real-Time Emission Tracking During Route Optimization

Given a fleet manager is optimizing a route using FleetWise, When the manager initiates the route optimization process, Then the system should provide real-time updates on projected carbon emissions before and after optimization.

Sustainability Goals Monitoring Dashboard

Given an operations manager is using the FleetWise dashboard, When they access the sustainability goals section, Then they should see a summary of current carbon emissions compared to targeted goals over the selected timeframe.

Historical Emission Trends Reporting

Given a fleet manager requests historical emissions data, When the system retrieves the information, Then a comprehensive report should display emissions trends over specified periods, including graphs for visual clarity.

Regulatory Compliance Emission Data Reports

Given a fleet manager needs to report emissions for regulatory compliance, When they generate the emissions report, Then the report should contain all required data fields specific to regulatory standards applicable to their region.

Cost-Benefit Analysis Tool

User Story: As a Fleet Operations Manager, I want access to a cost-benefit analysis tool so that I can weigh financial and environmental impacts when choosing transportation methods.
Description: The Cost-Benefit Analysis Tool requirement aims to equip FleetWise with functionalities to analyze the financial implications of using different transport modes. This tool will assess aspects like fuel costs, tolls, maintenance, and labor against their carbon emissions and potential savings. By utilizing this feature, Fleet Operations Managers can make informed decisions that balance cost-effectiveness with eco-friendliness, ultimately leading to better resource allocation and savings for the company.
Acceptance Criteria: Fleet Operations Manager initiates a cost-benefit analysis to evaluate road versus rail transport for a specific delivery route.

Given the Fleet Operations Manager is on the Cost-Benefit Analysis Tool page, when they enter data for fuel costs, tolls, maintenance, and labor for both road and rail transport, then the system should display a detailed comparison including total cost savings and carbon emissions for each transport mode.

Fleet Operations Manager reviews the emissions impact of selected transport modes after running a cost-benefit analysis.

Given the Fleet Operations Manager has completed a cost-benefit analysis, when they access the emissions impact report, then the report should accurately reflect the carbon emissions calculated for each transport mode and highlight the most eco-friendly option.

Fleet Operations Manager adjusts parameters (like fuel cost and tolls) to see how it affects the cost-benefit analysis outputs.

Given the Fleet Operations Manager has input parameters into the analysis tool, when they adjust the values for fuel costs or tolls, then the system should automatically recalculate and update the total costs and emissions impact in real time.

Fleet Operations Manager saves and retrieves a past analysis for review and further modifications.

Given the Fleet Operations Manager has completed a cost-benefit analysis, when they choose to save the analysis, then the system should allow them to successfully save the analysis with a specific name and retrieve it later without loss of data.

Fleet Operations Manager shares the cost-benefit analysis findings with the management team.

Given the Fleet Operations Manager has completed a cost-benefit analysis, when they select the option to share, then the system should generate a sharable report that includes all key metrics, graphs, and observations in a PDF format.

Fleet Operations Manager accesses help documentation for the Cost-Benefit Analysis Tool.

Given the Fleet Operations Manager is using the Cost-Benefit Analysis Tool, when they click on the help icon, then they should be directed to comprehensive documentation that covers tool functionality, examples, and FAQs.

Fleet Operations Manager evaluates real-time data while using the Cost-Benefit Analysis Tool.

Given the Fleet Operations Manager is using the Cost-Benefit Analysis Tool, when they check for real-time fuel price fluctuations, then the system should reflect the latest data and automatically update cost projections in the analysis.

Integration with Mapping Services

User Story: As a Fleet Operations Manager, I want FleetWise to integrate with mapping services so that I can receive real-time updates and optimize routes efficiently.
Description: The integration with mapping services requirement involves establishing connections with third-party mapping and GPS services. This integration will allow FleetWise to enhance its routing capabilities by providing real-time traffic updates, alternative routes, and distance calculations for various transportation modes. By leveraging these mapping services, FleetWise can improve the accuracy of route optimization and facilitate smarter decision-making for fleet managers.
Acceptance Criteria: Integration with Mapping Services for Real-Time Traffic Updates

Given a fleet operations manager uses FleetWise, when they access the mapping services integration, then they should receive real-time traffic updates on their selected routes with accuracy above 90%.

Integration with Mapping Services for Alternative Routes

Given a fleet operations manager wants to optimize a route, when they input a specific destination, then FleetWise should provide at least three alternative routes with estimated travel times and distances, factoring in current traffic conditions.

Integration with Mapping Services for Distance Calculations

Given a fleet operations manager is planning a trip, when they enter the starting point and destination, then FleetWise should accurately calculate the distance using the selected transportation mode, within a margin of error of 5%.

Integration with Mapping Services for Mode-Specific Insights

Given a fleet operations manager has a choice of transportation modes, when they view route suggestions, then FleetWise should display environmental impact data (like CO2 emissions) for each mode along with the suggested routes.

Integration with Mapping Services for User Interface Interaction

Given a fleet operations manager is using the FleetWise dashboard, when they interact with the mapping service feature, then all elements (buttons, maps, lists) should be responsive and load without delays of more than 2 seconds.

User-Friendly Dashboard for Mode Comparison

User Story: As a Fleet Operations Manager, I want an easy-to-use dashboard where I can compare different transportation modes so that I can quickly choose the best option based on multiple factors.
Description: The User-Friendly Dashboard for Mode Comparison requirement is designed to provide FleetWise users with an intuitive interface that allows them to compare different transport modes visually. This dashboard will present critical information such as cost estimates, timeframes, carbon footprints, and available capacity, enabling Fleet Operations Managers to make quick, informed decisions regarding their logistics strategies. The ease of use and accessibility of this feature will enhance user experience significantly.
Acceptance Criteria: Fleet Operations Manager reviews transportation modes for an upcoming shipment and uses the dashboard to compare cost estimates, timeframes, carbon footprints, and available capacity across various options.

Given the Fleet Operations Manager accesses the User-Friendly Dashboard for Mode Comparison, When they select multiple transport modes for a specific route, Then the dashboard should display a side-by-side comparison of cost estimates, timeframes, carbon footprints, and available capacity for each mode.

A Fleet Operations Manager needs to make a quick decision on the most eco-friendly transportation method for an urgent delivery.

Given the Fleet Operations Manager is on the User-Friendly Dashboard, When they apply filters for 'low emissions' and 'urgent delivery' criteria, Then the dashboard should suggest the best transportation modes with the lowest carbon footprints that meet the urgency requirement.

After comparing transport modes, the Fleet Operations Manager decides to export the comparison data for a presentation to stakeholders.

Given the Fleet Operations Manager has completed the mode comparison on the dashboard, When they select the option to export the data, Then the system should generate a downloadable report in .csv format containing all the relevant comparison metrics.

A Fleet Operations Manager wants to visualize the impact of different modes on operational costs to present to upper management.

Given the Fleet Operations Manager is on the User-Friendly Dashboard, When they view the graphical representation of cost estimates for selected modes, Then they should see a clear visual comparison (e.g., bar chart or pie chart) illustrating the cost differences.

A Fleet Operations Manager is unfamiliar with how to navigate the User-Friendly Dashboard and needs assistance.

Given the Fleet Operations Manager uses the User-Friendly Dashboard for the first time, When they access the help section, Then they should see a comprehensive user guide and video tutorials available for navigating the dashboard features.

Fuel Consumption Dashboard

The Fuel Consumption Dashboard offers real-time analytics on fuel usage across the fleet. By visualizing fuel consumption trends over time, Fleet Managers can identify high-consumption vehicles and mitigate issues through targeted interventions, promoting a focus on efficiency and cost-effectiveness.

Requirements

Real-Time Fuel Monitoring

User Story: As a Fleet Manager, I want to monitor fuel consumption in real-time so that I can quickly identify issues and make informed decisions to optimize fuel usage and reduce costs.
Description: The Real-Time Fuel Monitoring requirement entails integrating a live data feed from fuel sensors across the fleet, allowing Fleet Managers to access up-to-the-minute statistics on fuel usage for each vehicle. This functionality provides immediate insights into fuel consumption patterns, enabling the identification of inefficiencies and the opportunity for proactive management of fuel resources. By leveraging this real-time data, FleetWise will empower managers to make quick decisions, ensuring cost-effectiveness and efficiency in fuel usage, while also contributing to overall operational sustainability.
Acceptance Criteria: Fleet Manager accesses the Fuel Consumption Dashboard to monitor real-time fuel usage on a busy delivery day.

Given the Fleet Manager is logged into the FleetWise platform, When they navigate to the Fuel Consumption Dashboard, Then they should see real-time fuel usage data for each vehicle in the fleet, updated every minute.

Fleet Manager identifies a vehicle with unusually high fuel consumption through the dashboard.

Given the Fuel Consumption Dashboard shows real-time analytics, When a vehicle's fuel consumption exceeds the threshold of 10% more than the average for similar vehicles, Then the system should highlight this vehicle in red and alert the Fleet Manager.

Fleet Manager seeks to compare fuel efficiency between different routes taken by the fleet.

Given the Fleet Manager is on the Fuel Consumption Dashboard, When they select two or more routes for comparison, Then the dashboard should display a side-by-side analysis of fuel consumption metrics for those routes.

Fleet Manager reviews historical fuel consumption data for a specific vehicle over the past month.

Given the Fleet Manager is on the Fuel Consumption Dashboard, When they select a specific vehicle and choose the last month as the time frame, Then the dashboard should display a graph of fuel consumption over the selected period, including average usage and any significant spikes.

Fleet Manager sets a notification for vehicles exceeding fuel consumption thresholds.

Given the Fleet Manager is logged into the system, When they configure a threshold for fuel consumption alerts, Then the system should send notifications via email and SMS to the Manager when any vehicle exceeds that threshold.

Fleet Manager analyzes the impact of driver behavior on fuel consumption.

Given the Fleet Manager is on the Fuel Consumption Dashboard, When they select a driver from the list, Then the dashboard should display a correlation between the driver’s behavior (like excessive idling) and the fuel consumption of vehicles operated by that driver over the selected time frame.

Historical Fuel Trend Analysis

User Story: As a Fleet Manager, I want to analyze fuel consumption trends over time so that I can identify patterns and implement strategies for cost savings and efficiency improvements.
Description: The Historical Fuel Trend Analysis requirement involves developing a feature that analyzes and visualizes fuel consumption patterns over extended periods, such as weeks, months, or years. By employing data visualization techniques, Fleet Managers will be able to see trends and fluctuations in fuel usage, allowing for better long-term planning and strategy formulation. This capability aids in identifying vehicles that consistently consume more fuel and provides the basis for maintenance or operational changes, thus enhancing efficiency and driving down costs across the fleet.
Acceptance Criteria: Reviewing Historical Fuel Usage for Strategic Planning

Given the Fleet Manager accesses the Fuel Consumption Dashboard, when they select a date range of at least 3 months, then they should see a visual representation of fuel consumption trends for the entire fleet during that period.

Identifying High-Consumption Vehicles

Given the historical fuel trend analysis is complete, when the Fleet Manager views vehicle-specific reports, then they should be able to filter and identify the top 10% of vehicles with the highest fuel consumption over the past year.

Comparing Fuel Consumption Across Different Time Periods

Given the Fleet Manager wants to assess seasonal variations in fuel consumption, when they use the comparison tool to analyze two distinct time periods (e.g., prior quarter vs. current quarter), then they should receive a clear analysis highlighting differences in fuel usage, along with percentage changes.

Generating Automated Reports for Management Review

Given that the Fleet Manager has generated a historical fuel trend analysis, when they request a report, then an automated PDF report should be created and emailed to selected management personnel summarizing key insights and recommendations for the last 6 months.

Setting Alerts for Abnormal Fuel Consumption Trends

Given the historical fuel trend analysis has been completed, when the Fleet Manager sets consumption thresholds for vehicles, then they should receive automated alerts via email if any vehicle exceeds the set threshold for the defined alert period.

Visualizing Fuel Consumption Correlation with Maintenance Activities

Given the Fleet Manager has access to both maintenance records and fuel consumption data, when they correlate these datasets, then the dashboard should display visual insights highlighting the relationship between maintenance activities and fuel efficiency for each vehicle.

User Feedback for Dashboard Usability

Given the Historical Fuel Trend Analysis feature is live, when Fleet Managers utilize the dashboard for a month, then a feedback survey should be distributed, and at least 70% of respondents should indicate easy to understand features and useful insights regarding fuel trends.

Vehicle Comparison Tool

User Story: As a Fleet Manager, I want to compare fuel efficiency between vehicles so that I can identify which vehicles require attention or replacement to improve overall fleet efficiency.
Description: The Vehicle Comparison Tool requirement focuses on enabling Fleet Managers to compare fuel efficiency metrics between different vehicles in the fleet. This feature will allow for side-by-side analysis of key performance indicators related to fuel consumption, enabling decision-makers to pinpoint underperforming vehicles. Enhanced visibility into comparative fuel data will facilitate informed decisions regarding vehicle maintenance schedules or the potential replacement of high-consumption vehicles, ultimately driving operational efficiency in the fleet.
Acceptance Criteria: Fleet Manager needs to assess fuel consumption across multiple vehicles during a monthly review meeting.

Given the Fleet Manager has selected multiple vehicles, when they access the Vehicle Comparison Tool, then a side-by-side comparison of fuel efficiency metrics should be displayed for the selected vehicles, including average fuel consumption per mile, total fuel consumed over a set period, and comparative graphs showing trends over time.

Fleet Manager wants to identify the least fuel-efficient vehicle to focus on in an upcoming maintenance check.

Given the Fleet Manager has access to the Vehicle Comparison Tool, when they select a specific vehicle and compare it to the rest of the fleet, then the tool should provide a ranked list of vehicles based on fuel consumption, highlighting the selected vehicle’s performance in relation to others.

Fleet Manager needs to generate a report highlighting fuel consumption metrics for the vehicles in the fleet for the last quarter.

Given the Fleet Manager is using the Vehicle Comparison Tool, when they request a report, then a downloadable report should be generated containing detailed fuel consumption data for all vehicles, including graphical representations of fuel efficiency and insights for underperforming vehicles.

Fleet Manager intends to set benchmarks for fuel consumption to guide their fleet optimization strategy.

Given the Fleet Manager has analyzed historical fuel consumption data through the Vehicle Comparison Tool, when they set fuel efficiency benchmarks based on this data, then the system should allow for adjustments and display these benchmarks prominently on the dashboard for ongoing reference.

Fleet Manager is exploring different vehicle configurations and their impact on fuel efficiency.

Given the Fleet Manager has selected different vehicle types in the Vehicle Comparison Tool, when they compare these vehicles, then the tool should display detailed analytics on how vehicle specifications (like weight, engine type, and design) relate to fuel consumption metrics.

Fleet Manager wants to evaluate the impact of recent maintenance activities on vehicle fuel efficiency.

Given the Fleet Manager has input recent maintenance data into the system, when they compare vehicles’ fuel consumption before and after maintenance, then the Vehicle Comparison Tool should show a clear difference in fuel efficiency, with calculations that demonstrate the percentage improvement or decline for each vehicle.

Fleet Manager is preparing for a presentation to the executive team about fleet performance improvements.

Given the Fleet Manager is using the Vehicle Comparison Tool, when they compile data for their presentation, then it should allow for easy visualizations and summaries that effectively communicate insights on fuel consumption trends and the performance of fleet vehicles, including charts and key performance indicators.

Notification System for Fuel Anomalies

User Story: As a Fleet Manager, I want to receive notifications for unusual fuel consumption patterns so that I can quickly investigate potential issues and minimize losses.
Description: The Notification System for Fuel Anomalies requirement encompasses developing intelligent alerts that notify Fleet Managers when unusual patterns in fuel consumption are detected. This system will leverage machine learning algorithms to identify deviations from established fuel consumption baselines, prompting immediate investigation into potential issues such as fuel theft or maintenance needs. This proactive approach to monitoring ensures that fleet managers can address issues swiftly, mitigating losses and maintaining efficient operations.
Acceptance Criteria: Fleet manager receives an alert during a routine check on the Fuel Consumption Dashboard when the system detects an unusual spike in fuel consumption for a specific vehicle over the past week.

Given the machine learning algorithms monitor fuel consumption data, When an anomaly exceeding 20% above average daily usage is detected, Then an alert notification should be sent to the fleet manager's dashboard and email immediately.

Fleet manager analyzes the alert history on the Fuel Consumption Dashboard to check for past anomalies and their resolutions.

Given the notification system logs all alerts, When the fleet manager accesses the alert history, Then the past anomalies should display with corresponding timestamps, vehicles affected, and resultant actions taken.

Fuel manager takes action on an alert regarding fuel theft suspicion based on generated alerts from the system.

Given an anomaly is detected and an alert notification is sent, When the fleet manager investigates the flagged vehicle's activity, Then the system should provide access to detailed fuel consumption trends and reports for the vehicle in question.

Fleet manager configures the notification thresholds for fuel anomalies based on historical data and operational needs.

Given that the system allows customization of anomaly detection thresholds, When the fleet manager sets a new threshold for notifications, Then the system should save these settings and apply them for future anomaly detection.

Fleet manager tests the notification system to ensure alerts are delivered correctly under various conditions.

Given the notification system is functional, When the fleet manager simulates different fuel consumption scenarios, Then alerts should be received correctly via both dashboard and email as specified in the system settings.

Fleet manager reviews feedback from end-users on the relevance and accuracy of the fuel consumption alerts generated by the system.

Given the notification system is in use, When feedback is collected from the fleet managers, Then at least 80% of users should agree that the alerts help in efficiently managing fuel and responding to anomalies.

Fleet manager assesses the calibration of the machine learning model used for detecting fuel anomalies to ensure its accuracy.

Given the machine learning model is designed to identify fuel anomalies, When the fleet manager reviews model performance metrics, Then the model should demonstrate at least 90% accuracy in identifying true anomalies versus false positives over the last operating month.

Integration with Maintenance Scheduling

User Story: As a Fleet Manager, I want fuel consumption data to influence maintenance scheduling so that I can ensure vehicles are maintained properly and operate at peak efficiency.
Description: The Integration with Maintenance Scheduling requirement involves linking fuel consumption data to the fleet's overall maintenance scheduling system. This integration will allow Fleet Managers to correlate fuel usage with vehicle performance and maintenance history, thus facilitating timely and informed maintenance interventions based on consumption trends. By doing so, this feature aims to enhance vehicle longevity and performance, ultimately leading to reduced operational costs and increased efficiency.
Acceptance Criteria: Fuel Consumption Data Correlation with Maintenance Scheduling.

Given that a Fleet Manager is viewing the Fuel Consumption Dashboard, when they choose a vehicle and view its historical fuel usage data, then the system must display the corresponding maintenance records associated with that vehicle for the same period.

Triggering Maintenance Alerts Based on Fuel Consumption Trends.

Given that the Fuel Consumption Dashboard is active, when a vehicle's fuel consumption exceeds a predefined threshold over a specified period, then the system must automatically generate and send a maintenance alert to the Fleet Manager.

Real-time Update and Integration of Fuel Data with Maintenance System.

Given that fuel data is collected in real-time, when a vehicle's fuel consumption changes, then this updated data must be reflected in the maintenance scheduling system within 5 minutes.

Reporting on Impact of Fuel Consumption on Maintenance Interventions.

Given that the integration is active, when a Fleet Manager generates a report on fuel consumption and maintenance interventions, then the report must include analytics showing correlations between high fuel consumption trends and subsequent maintenance activities conducted on those vehicles.

User Interface for Accessing Fuel and Maintenance Data.

Given that a Fleet Manager is accessing the Fuel Consumption Dashboard, when they select a vehicle, then the interface must allow them to easily navigate to view both fuel usage data and maintenance history without needing to switch between multiple screens.

Historical Data Analysis for Future Maintenance Scheduling.

Given that fuel consumption and maintenance data are integrated, when a Fleet Manager conducts an analysis of the last year’s data, then the system must provide insights on how fuel consumption patterns influence maintenance needs, aiding in future scheduling decisions.

User Access Control for Fuel and Maintenance Data.

Given that the organization has multiple users, when a Fleet Manager attempts to access the Fuel Consumption Dashboard, then they must have appropriate permissions to view both fuel consumption data and maintenance records relevant to their role.

User-Friendly Dashboard Interface

User Story: As a Fleet Manager, I want a user-friendly dashboard to visualize fuel data so that I can easily interpret information and make quick decisions regarding fuel management.
Description: The User-Friendly Dashboard Interface requirement focuses on creating an intuitive and visually appealing dashboard for the Fuel Consumption feature. The interface should present key metrics, analytics, and trends in a clear and engaging manner, making it easy for Fleet Managers to interpret the data and derive actionable insights quickly. This strong emphasis on user experience will ensure that the dashboard enhances user engagement and fosters informed decision-making based on fuel consumption analytics.
Acceptance Criteria: User accesses the Fuel Consumption Dashboard to view real-time analytics on fuel usage across the fleet.

Given the user is logged into FleetWise, when they navigate to the Fuel Consumption Dashboard, then the dashboard displays real-time fuel consumption metrics for each vehicle in the fleet.

Fleet Manager wants to analyze historical fuel consumption trends over the past month.

Given the user selects a date range of the past month, when they view the Fuel Consumption Dashboard, then the dashboard shows a graphical representation of fuel consumption trends over that period.

User needs to identify high-consumption vehicles to take corrective action.

Given the dashboard displays fuel consumption data, when the user interacts with the dashboard, then they can sort vehicles by fuel consumption from highest to lowest.

Fleet Manager wants to receive alerts for vehicles exceeding fuel consumption thresholds.

Given the user sets a fuel consumption threshold on the dashboard, when any vehicle exceeds this threshold, then an alert is triggered and displayed in the notification panel.

User requests a report summarizing fuel consumption analytics for a specified vehicle.

Given the user selects a specific vehicle on the Fuel Consumption Dashboard, when they request a summary report, then the report is generated and presented with key fuel metrics and trends.

Fleet Manager wants to customize the dashboard layout to focus on specific metrics of interest.

Given the user accesses the customization settings of the Fuel Consumption Dashboard, when they select specific metrics to display, then the dashboard updates to reflect these user-defined metrics.

AI-Powered Driver Behavior Insights

This feature analyzes driving patterns through AI algorithms, offering personalized feedback to drivers about their fuel efficiency metrics. By helping drivers understand how their driving habits impact fuel consumption, this tool encourages better driving behaviors, which can lead to reduced fuel costs and environmental impact.

Requirements

Real-time Driving Analytics Dashboard

User Story: As a fleet manager, I want to access real-time analytics on driver behavior so that I can identify patterns and provide targeted feedback to enhance fuel efficiency and safety.
Description: The Real-time Driving Analytics Dashboard provides fleet managers with a comprehensive view of driver performance metrics in real-time. This feature integrates seamlessly with FleetWise's existing tracking capabilities and utilizes AI algorithms to present driving behavior insights. Managers will receive visual data on acceleration, braking patterns, and overall fuel efficiency, empowering them to take actionable steps in coaching drivers on best practices. The primary benefit of this dashboard is that it fosters better communication between management and drivers, ultimately leading to improved overall fleet performance and reduced operating costs associated with fuel consumption.
Acceptance Criteria: Real-time visualization of driver performance data for fleet managers during weekly performance reviews.

Given a manager accesses the Real-time Driving Analytics Dashboard, when they view the performance metrics for all drivers, then they should see real-time data on acceleration, braking patterns, and fuel efficiency that is updated within 5 seconds.

Notifications sent to drivers after significant driving behavior events are recorded.

Given a driver has an event where harsh braking occurs, when the dashboard processes the data, then the system should send a notification to the driver detailing the event within 10 minutes.

Comparison of fuel efficiency metrics before and after implementing coaching sessions based on dashboard data.

Given a fleet manager conducts a coaching session using the driver behavior insights from the dashboard, when they measure fuel efficiency metrics 30 days later, then there should be at least a 5% improvement in fuel efficiency for the coached drivers compared to their previous metrics.

Fleet manager accessed dashboard to track the driver improvement trends over time.

Given a fleet manager accesses the trend analysis section of the dashboard, when they select a specific driver from the last 3 months, then they should see a graphical representation of improvements in driving behavior and corresponding fuel efficiency changes

Integration with existing fleet management system for seamless data flow.

Given the fleet management system is updated, when the Real-time Driving Analytics Dashboard is accessed, then it should display the latest data without requiring manual input or refresh from the user.

User feedback collected to improve the dashboard usability and features.

Given a feedback survey is circulated among users of the dashboard, when the survey is conducted over a period of 1 month, then at least 75% of users should rate the dashboard as easy to use and effective in providing insights.

Dashboard accessibility on mobile devices for drivers and managers.

Given a driver accesses the Real-time Driving Analytics Dashboard on a mobile device, when they log in, then the dashboard should load and display all relevant performance metrics within 10 seconds without loss of functionality.

Personalized Driver Feedback Notifications

User Story: As a driver, I want to receive personalized feedback on my driving habits so that I can improve my fuel efficiency and reduce my environmental impact.
Description: Personalized Driver Feedback Notifications deliver tailored insights directly to drivers based on their unique driving patterns. This feature sends push notifications through the FleetWise mobile application, highlighting areas for improvement, such as throttle control, speeding, or excessive idling. By offering these insights in an immediate, user-friendly format, drivers can quickly adjust their habits to promote fuel-efficient driving. This requirement is crucial for facilitating behavioral change among drivers, as it not only boosts awareness but also encourages accountability for their driving practices, leading to significant savings on fuel costs for the fleet.
Acceptance Criteria: Driver receives a personalized feedback notification shortly after a trip is completed, highlighting specific behaviors that can be improved based on their recent driving data.

Given a completed trip, when the driver opens the FleetWise app, then they should receive a notification with personalized feedback outlining at least two areas for improvement, such as speeding and idle time.

A driver engages with the feedback notifications and makes adjustments to their driving behaviors based on the insights provided.

Given a driver receives a feedback notification, when they implement the suggested changes during their next trip, then the telemetry data should reflect improved metrics in throttle usage and reduced instances of excessive idling.

The FleetWise platform analyzes the feedback response over a month to assess the overall impact on driving behavior and fuel efficiency.

Given that feedback notifications were sent for a month, when analyzing the driving data, then there should be at least a 10% improvement in fuel efficiency metrics recorded for the drivers who received notifications compared to their previous month performance.

Notifications are sent to drivers in a timely manner to ensure they can act on the feedback while their driving habits are fresh.

Given that a trip concludes, the driver should receive a feedback notification within 10 minutes of the trip ending, ensuring timely delivery of insights.

Feedback notifications should be personalized to reflect the driving patterns of each individual driver, ensuring relevance and engagement.

Given the aggregated data from a driver’s driving habits, when a notification is generated, then it must specifically mention metrics relevant to that driver, such as specific instances of speeding rather than generic feedback.

Driving Behavior Gamification

User Story: As a fleet driver, I want to compete with my peers on my driving performance scores so that I stay motivated to improve my efficiency and safety while driving.
Description: The Driving Behavior Gamification feature introduces a competitive element to driver performance metrics by creating a scoring system based on fuel efficiency, safe driving practices, and improvement streaks. Drivers will be able to see their scores ranked against peers and receive rewards or recognition for top performance. This requirement aims to enhance engagement and motivation among drivers, fostering a culture of safety and efficiency within the organization. By encouraging healthy competition, it helps instill lasting positive driving behaviors that contribute to reducing fuel consumption and operational costs.
Acceptance Criteria: Drivers can access their individual driving scores through the FleetWise mobile application after each journey is completed, allowing them to track their performance over time.

Given a driver completes a journey, when they access the FleetWise mobile app, then they can view their driving behavior score, fuel efficiency metrics, and rankings compared to peers with updated data for the current week.

Upon reaching specific performance milestones, drivers receive automated notifications within the mobile application that inform them of their achievements and any available rewards or recognition.

Given a driver achieves a significant milestone in their driving behavior score, when the criteria are met, then the driver receives a push notification detailing their accomplishment and any associated rewards.

The scoring system is designed to update in real-time, reflecting the latest driving behavior data and ensuring that all drivers see immediate results from their improvements and adherence to safe driving practices.

Given that a driver engages in a trip, when they complete the trip, then their driving score is updated in real-time based on the safe driving metrics captured during the journey.

Drivers can view a leaderboard that shows their rank compared to their peers, fostering a competitive environment that motivates positive driving behaviors.

Given multiple drivers use the FleetWise application, when the leaderboard is accessed, then all drivers can see their rankings and scores in comparison to their peers, updated weekly.

Rewards for top-performing drivers are periodically evaluated and adjusted based on overall program performance to ensure ongoing engagement and motivation for all drivers.

Given the driving performance metrics have been analyzed for the past quarter, when the rewards program is reviewed, then appropriate adjustments are made to the reward thresholds based on improved performance data and engagement levels.

Feedback mechanisms are incorporated within the application, allowing drivers to share their experiences and suggestions related to the driving behavior gamification feature.

Given that a driver uses the feedback feature, when they submit their suggestions or experiences, then they receive a confirmation that their feedback has been recorded and is under review.

The Driving Behavior Gamification feature provides detailed analytics for fleet managers, enabling them to monitor the effectiveness of the gamification approach in enhancing driving behaviors.

Given that fleet managers log in to the FleetWise dashboard, when they access the driving behaviors analytics section, then they can view comprehensive reports on driver performance, including trends in fuel efficiency and safety metrics over time.

Comprehensive Reporting Tools

User Story: As a fleet manager, I want to generate detailed reports on driver performance over time so that I can assess training effectiveness and identify areas for further improvement.
Description: Comprehensive Reporting Tools provide fleet managers with in-depth reports that analyze driver behavior trends over time. This functionality allows users to generate customizable reports based on specific drivers, timeframes, and performance metrics. By aggregating data in a meaningful way, managers can make informed decisions regarding training needs, incentivization strategies, and overall fleet management practices. This requirement is vital for ensuring continuous improvement in driver behavior and fuel efficiency while displaying the effectiveness of implemented strategies over time to stakeholders.
Acceptance Criteria: Fleet manager generates a report analyzing driver behavior over the past month to identify trends and areas for improvement.

Given a time frame of the last month, when the fleet manager selects specific drivers and clicks on 'Generate Report', then a comprehensive report with fuel efficiency metrics and driving patterns should be generated without any errors.

A fleet manager customizes a report to focus on fuel efficiency for a specific driver.

Given a selected driver, when the fleet manager chooses fuel efficiency as a parameter and defines a custom time frame, then the report should reflect the selected metrics and show data clearly segmented by daily averages.

The fleet manager schedules a recurring report to analyze driver behavior trends on a weekly basis.

Given that the fleet manager sets up a report to be delivered weekly, when the specified day arrives, then the report should be automatically generated and sent to the manager’s email without any manual intervention.

Fleet managers review the impact of training programs on driver performance through the reporting tool.

Given the performance metrics from before and after a training program, when the fleet manager compares the two reports side by side, then the reports should show a measurable improvement in driving behavior and fuel efficiency, indicating the training was effective.

A fleet manager customizes report parameters to include multiple metrics for a comprehensive overview.

Given multiple metrics available for selection, when the fleet manager customizes the report to include fuel efficiency, speeding incidents, and harsh braking, then the resulting report should include all selected metrics presented in a meaningful format that aids decision-making.

The fleet manager exports a driver behavior report to a PDF file for presentation to stakeholders.

Given a generated report, when the fleet manager clicks on 'Export to PDF', then the system should produce a well-formatted PDF report that accurately represents all metrics and data present in the original report, ready for sharing with stakeholders.

Fleet managers track historical trends in driver behavior through the reporting tool.

Given a selection of historical data, when the fleet manager generates a report for the last three months, then the report should highlight significant trends or patterns in driver behavior over that period, allowing for strategic decision-making.

Integration with Maintenance Tracking

User Story: As a fleet manager, I want to ensure that driving behavior data is linked with maintenance records so that I can proactively manage both driver habits and vehicle upkeep effectively.
Description: Integration with Maintenance Tracking ensures that driving behavior insights are cross-referenced with vehicle maintenance records. This feature alerts fleet managers when specific driving habits, such as harsh braking or excessive idling, correlate with increased wear and tear on vehicles. The functionality is essential for encouraging proactive maintenance strategies that can prevent costly repairs and prolong vehicle life. This integration enhances data accuracy and relevance while supporting a holistic approach to fleet management that combines driver behavior and vehicle performance.
Acceptance Criteria: Integration of Driver Behavior Insights with Vehicle Maintenance Records

Given a driver has completed a trip with harsh braking or excessive idling events, When the trip data is analyzed, Then the system will cross-reference the driving behavior with the maintenance records and alert the fleet manager if any maintenance is due or needed based on the driving patterns.

Real-time Alerts for Fleet Managers

Given the integration is functioning correctly, When a driver exhibits driving behaviors that correlate with maintenance issues, Then the fleet manager should receive real-time alerts illustrating the correlation between the driver behavior and vehicle wear indicators.

Accuracy of Data Correlation

Given data is being collected from both driver behavior and maintenance records, When correlations are drawn between harsh driving behavior and maintenance needs, Then the accuracy of these correlations should be validated with a minimum threshold of 85% to ensure reliability.

Reporting Interface for Analysis

Given the integration is deployed, When a fleet manager accesses the reporting dashboard, Then they should see a clear report outlining the relationship between driving behaviors and maintenance records, including actionable insights for driver training and vehicle maintenance.

Usability of Maintenance Alerts

Given the integration system is operational, When alerts are generated for fleet managers, Then the alerts should be clear, concise, and actionable, allowing fleet managers to make timely maintenance decisions without confusion.

Feedback Mechanism for Drivers

Given the driver behavior insights feature is in use, When alerts related to driving behavior are sent to drivers, Then drivers should receive personalized feedback highlighting the correlation between their driving behaviors and vehicle maintenance needs to foster improvement.

Maintenance Impact Assessment

Given insights are generated from the system, When fleet managers review maintenance impacts, Then they should be able to quantify the reduction in maintenance costs or vehicle downtime as a result of improvements in driver behavior over a specified period.

Fuel Efficiency Benchmarking

User Story: As a fleet manager, I want to benchmark my drivers' fuel efficiency against industry standards so that I can identify high performers and those who need additional coaching.
Description: Fuel Efficiency Benchmarking allows fleet managers to compare individual driver performance against established industry standards or internal benchmarks. This feature provides insights into where drivers stand in relation to average fuel efficiency metrics, encouraging healthy competition and a focus on improvement. By uncovering performance gaps, the benchmarking tool supports targeted coaching initiatives and helps drive a culture of continual improvement in fuel management practices throughout the organization.
Acceptance Criteria: Fleet managers require a dashboard displaying personal driving performance metrics for each driver compared to industry benchmarks over the previous month.

Given a fleet manager logs into the FleetWise dashboard, when they select the 'Driver Performance' section, then they can view individual driver fuel efficiency metrics against industry standards with a comparison chart.

A driver needs personalized feedback on their driving patterns to improve fuel efficiency based on recent driving data.

Given a driver accesses the FleetWise mobile application, when they view the 'Fuel Efficiency Insights' section, then they receive tailored feedback on their driving habits with actionable recommendations for improvement.

Fleet managers want to identify drivers who consistently underperform in fuel efficiency to implement targeted coaching programs.

Given a fleet manager reviews the 'Benchmarking Report', when they filter drivers by fuel efficiency performance, then they can generate a list of the bottom 10% of drivers for further analysis and coaching.

Drivers should be able to track their progress in improving fuel efficiency over time after receiving feedback and coaching.

Given a driver navigates to the 'Progress Tracker' on the FleetWise app, when they view their historical fuel efficiency data, then they can see a trend line showing improvement or decline over the last three months.

Fleet managers need to generate a report summarizing fuel efficiency improvements across the fleet for management review.

Given a fleet manager accesses the reporting feature, when they generate the 'Fleet Fuel Efficiency Improvement' report, then it includes metrics comparing current performance against previous quarter results and highlights key improvements.

Fleet managers require alerts for drivers whose fuel efficiency drops below a certain threshold, prompting immediate coaching.

Given a fleet manager configures alerts for fuel efficiency metrics, when a driver’s performance falls below the set threshold in any reporting period, then the manager receives an automatic notification via email and app notification.

Fleet managers want to assess the overall impact of coaching initiatives on the fleet's fuel efficiency.

Given that a fleet manager conducts a review after implementing coaching, when they analyze the average fuel efficiency metrics of the fleet over the last six months, then they confirm an improvement of at least 10% compared to the previous six months.

Emission Forecasting

Emission Forecasting predicts the environmental impact of various route options before journey commencement. By evaluating potential emissions based on selected routes and traffic conditions, Fleet Operations Managers can select the most eco-friendly journeys, aligning operational decisions with sustainability goals.

Requirements

Real-time Emission Calculations

User Story: As a Fleet Operations Manager, I want to receive real-time emission calculations for each route option, so that I can choose routes that minimize our environmental impact and align with our sustainability initiatives.
Description: This requirement entails the development of a real-time emissions calculation feature that can process data inputs, such as vehicle type, load, route, and current traffic conditions, to predict the emissions for each journey option accurately. The system should provide Fleet Operations Managers with the option to view emissions data in an intuitive format and compare emissions across different route choices. It will enhance decision-making for sustainability-focused route planning and enable easy tracking of emissions over time, contributing to the organization’s environmental goals and compliance with regulations.
Acceptance Criteria: Real-time Emission Calculation for a Planned Delivery Route

Given the Fleet Operations Manager inputs vehicle type, load, selected route, and current traffic conditions, when the emission calculation feature is triggered, then the system must return accurate emissions data generated in real-time for the planned delivery route with a response time of less than 5 seconds.

Comparison of Emissions Across Multiple Routes

Given multiple route options have been calculated for a specific journey, when the Fleet Operations Manager selects two or more routes to compare, then the system must display a side-by-side emissions comparison in an intuitive format, allowing the manager to easily identify the route with the lowest emissions.

User Intuitive Interface for Emission Data Display

Given the emissions data has been calculated, when the Fleet Operations Manager accesses the emissions dashboard, then the emissions data must be displayed in a user-friendly format with graphs and charts that clearly represent emissions by route, vehicle type, and load.

Tracking Emissions Over Time for Compliance Reporting

Given that emissions data is being recorded, when the Fleet Operations Manager views the emissions tracking feature, then the system must provide historical emissions data over various timeframes (daily, weekly, monthly) to aid in compliance reporting and sustainability assessments.

Notifications for High Emission Routes

Given the Fleet Operations Manager is planning a route, when a route option is calculated to exceed a predetermined emissions threshold, then the system must send an alert notification to the Manager to consider alternative routes.

Exporting Emissions Data for External Analysis

Given the Fleet Operations Manager requires a summary of emissions data, when the export function is utilized, then the system must allow the Manager to export emissions data in a CSV format that includes fields for vehicle type, load, route, emissions, and date.

Route Comparison Tool

User Story: As a Fleet Operations Manager, I want a route comparison tool that helps me evaluate different routes based on emissions and costs, so I can make informed decisions that promote sustainability and efficiency.
Description: The requirement involves creating a comparison tool that allows Fleet Operations Managers to input multiple route options and generates a detailed side-by-side analysis of potential emissions, travel time, costs, and other relevant metrics. This functionality will enable users to make informed decisions quickly and support operational efficiency by simplifying the process of evaluating various routes based on environmental impact and cost-effectiveness. It will be integrated with the existing route optimization features to provide a comprehensive view of each option.
Acceptance Criteria: Fleet Operations Manager inputs multiple route options into the Route Comparison Tool before a scheduled delivery to evaluate potential emissions and costs for eco-friendly decision-making.

Given multiple route options are inputted, When the user selects 'Compare Routes', Then the system should display a side-by-side analysis of emissions, travel time, and costs for each route option in a clear and organized manner.

Upon selecting a route from the comparison, the Fleet Operations Manager should be able to confirm the chosen route for the journey.

Given a selected route from the comparison tool, When the user clicks 'Confirm Route', Then the system should save the route selection and notify the user of successful confirmation with route details displayed.

The Route Comparison Tool must provide accurate calculations based on real-time traffic data and environmental forecasts.

Given real-time traffic data and environmental factors are available, When the user inputs route options, Then the tool should update emissions and travel metrics accurately reflecting current conditions before comparison.

Fleet Operations Managers should be able to filter route options based on specific environmental targets such as emissions reduction levels.

Given the filtering option is available, When the user applies filters for emissions or cost-saving targets, Then the tool should only display routes that meet the specified criteria.

The Route Comparison Tool should be integrated seamlessly with FleetWise existing route optimization features without operational delays.

Given that the Route Comparison Tool is integrated with existing features, When the user utilizes the tool, Then the system should operate without lag and provide instant results for comparison without crashing or errors.

After generating the route comparison, Fleet Operations Managers should be able to export the analysis for reporting purposes.

Given the comparison results are presented, When the user selects 'Export Comparison', Then the system should allow users to download the analysis in PDF or Excel format successfully.

The system should provide user documentation or help tips to assist Fleet Operations Managers in using the Route Comparison Tool effectively.

Given that the tool is accessed for the first time, When the user opens the Route Comparison Tool, Then the system should display a help prompt or link to user documentation to guide the user through initial usage.

Historical Emission Data Analysis

User Story: As a Fleet Operations Manager, I want to analyze historical emission data, so that I can identify trends and improve our fleet’s sustainability efforts.
Description: This requirement includes the development of an analytical tool that provides insights based on historical vehicle emissions data. FleetWise should gather and analyze past emission records to uncover trends and patterns related to fleet operations over time. This capability will assist Fleet Operations Managers in identifying high-emission routes, periods of concern, and will inform continuous improvement initiatives. The analysis can also be leveraged for reporting purposes and to evaluate the effectiveness of sustainability measures undertaken by the company.
Acceptance Criteria: Historical Emission Data Retrieval for Analysis under Different Filters

Given that a Fleet Operations Manager selects specific filters (date range, vehicle type, or route) for historical emission data, when the 'Analyze' button is clicked, then the system should return a detailed report summarizing the emissions data that match the selected criteria within 2 seconds.

Trend Analysis Visualization Over Time

Given that a Fleet Operations Manager has retrieved historical emissions data, when they select the 'Trend Analysis' option, then the system should generate a line graph displaying emissions trends over time, highlighting any spikes or drops in emissions for different routes.

Identification of High-Emission Routes Automatically

Given that the historical emissions data set is loaded, when the system performs an analysis, then it should automatically identify and list the top 5 high-emission routes along with their average emissions per kilometer.

Reporting Functionality for Historical Emission Insights

Given that a Fleet Operations Manager has completed the analysis of historical emissions data, when they select the 'Generate Report' option, then the system should create a downloadable PDF report summarizing key insights, trends, and high-emission routes, which must be formatted correctly and easy to read.

Historic Emission Record Comparison Against Sustainability Goals

Given that Fleet Operations Managers input their sustainability goals into the system, when they request a comparison report, then the system should provide a clear comparison between actual historical emissions data and the set sustainability goals with visual indicators for areas of success and areas needing improvement.

User Interface for Emission Insights

User Story: As a Fleet Operations Manager, I want an intuitive user interface for emission insights, so that I can easily access and interpret the data for better decision-making.
Description: This requirement focuses on designing an intuitive user interface that meets the needs of Fleet Operations Managers. The UI should clearly present emission forecasting results, route comparisons, and historical data in a user-friendly manner. This includes visual representations such as graphs and charts, easy navigation options, and filters for quick data access. Enhancing the user experience will make it easier for managers to leverage emissions data effectively, thereby promoting informed decision-making and driving user satisfaction.
Acceptance Criteria: Fleet Operations Managers using the emission forecasting UI before planning a trip to evaluate potential routes.

Given the Fleet Operations Manager selects a route, When the emissions data is displayed, Then the UI must show forecasted emissions clearly with visual graphs and charts.

Fleet Operations Managers navigating through the UI to compare emissions of multiple routes under different traffic conditions.

Given the Fleet Operations Manager has selected multiple routes, When the comparison feature is activated, Then the UI must present side-by-side comparisons of emissions for each route with applicable traffic conditions.

Fleet Operations Managers filtering historical emissions data to analyze trends over time.

Given the Fleet Operations Manager applies a filter for a specific time period, When the historical emissions data is retrieved, Then the UI must reflect accurate emissions data for that period in an easily interpretable format.

Fleet Operations Managers accessing the UI on different devices to ensure consistent user experience.

Given the Fleet Operations Manager accesses the UI from a mobile device and a desktop, When the UI is rendered, Then it must maintain consistent layout and functionality across both devices.

Fleet Operations Managers utilizing the UI to make decisions based on the most eco-friendly routes.

Given the Fleet Operations Manager selects an eco-friendly option, When the journey is confirmed, Then the application must log the emissions data of the selected route for future analysis.

Fleet Operations Managers obtaining insights into the impacts of route selections on overall fleet emissions.

Given the Fleet Operations Manager uses the UI to generate a report, When the report is executed, Then it must include detailed insights on total emissions savings from selected routes compared to previous trips.

Alerts for High Emission Routes

User Story: As a Fleet Operations Manager, I want to receive alerts for high emission routes, so that I can take action and adjust our plans to meet sustainability goals.
Description: This requirement entails implementing an alert system that notifies Fleet Operations Managers when a selected route is predicted to exceed certain emission thresholds. The system should allow users to set customizable thresholds based on company goals and regulatory compliance needs. This feature will ensure proactive management of fleet operations, helping the organization maintain its commitment to sustainability and enabling timely adjustments to route planning while minimizing environmental impact.
Acceptance Criteria: The Fleet Operations Manager has configured emission thresholds in the FleetWise system according to company sustainability goals. Before a journey commences, the manager selects a planned route to evaluate its environmental impact. Upon selection, the system should immediately analyze the route and assess its emissions against the pre-set thresholds, providing real-time insights.

Given the Fleet Operations Manager has set emission thresholds, when a route is selected for a trip, then an alert is generated if the predicted emissions exceed the configured threshold.

The Fleet Operations Manager wants to customize the emission threshold for a specific route based on new regulatory compliance requirements. The manager accesses the FleetWise dashboard and modifies the emission parameters accordingly before analyzing routes.

Given the Fleet Operations Manager modifies the emission threshold parameters, when the changes are saved, then the system should apply the updated thresholds for future route assessments immediately.

The Fleet Operations Manager is examining upcoming routes for a week ahead and must determine which ones are eco-friendly. They access the FleetWise platform, where they can filter routes based on their emissions predictions compared to the set thresholds.

Given the Fleet Operations Manager views the upcoming routes, when the manager applies the emission filters, then the displayed results should only include routes that do not exceed the defined emission thresholds.

After setting the emission alert thresholds, the Fleet Operations Manager is conducting a review of recent alerts generated by the system. They want to ensure that all alerts were triggered correctly and examine their details.

Given the Fleet Operations Manager is reviewing alert notifications, when they access the alert history, then all alerts should display the correct predicted emissions and thresholds that triggered the alerts.

The Fleet Operations Manager is training new team members on the FleetWise platform and wants to demonstrate the alert system in action. They need to illustrate how alerts are triggered when routes exceed emissions thresholds during a live demonstration.

Given the Fleet Operations Manager selects a route during the training session, when the route exceeds the emission threshold, then the system should display a real-time alert notification on the dashboard.

The Fleet Operations Manager frequently checks their email notifications for alerts concerning high emission routes. They intend to verify whether the system sends alerts in a timely manner upon route selections exceeding emissions thresholds.

Given the emission alert is triggered, when the prediction is made, then the Fleet Operations Manager should receive an email notification within 5 minutes of the alert being generated.

Integration with Telematics Systems

User Story: As a Fleet Operations Manager, I want FleetWise to integrate with our telematics systems, so that we can enhance emission predictions with real-time vehicle data.
Description: This requirement involves integrating FleetWise with existing telematics systems used by fleet operators. This integration will enable automatic data collection regarding vehicle performance, fuel consumption, and journey details, enhancing the accuracy of emission predictions. It is vital for achieving seamless operation and for ensuring that the emission forecasting feature leverages real-time data, ultimately improving the quality of insights provided to Fleet Operations Managers.
Acceptance Criteria: Fleet Operations Manager initiates a journey by selecting a route within the FleetWise platform, which then accesses real-time telematics data to integrate vehicle performance metrics with route data.

Given that the Fleet Operations Manager selects a journey and route, when they confirm the trip, then the system must automatically pull data from the telematics systems to display accurate emission predictions based on the selected route.

The FleetWise application automatically updates the emission forecasting in response to changing traffic conditions and route adjustments made by the driver.

Given that the driver adjusts the route during transit due to traffic, when the new route is confirmed, then the emission forecast must refresh within 30 seconds to reflect updated environmental impact data.

A fleet operator reviews historical journey data to analyze emissions based on previous routes taken by vehicles in the fleet as part of a performance evaluation.

Given that the fleet operator accesses historical journey data from the dashboard, when they filter by date and route, then the system must display a report showing the emissions generated for each journey over the selected period.

FleetWise integrates with telematics systems to continuously collect data on vehicle fuel consumption and performance parameters during operations.

Given that the telematics system is active, when data is being transmitted, then FleetWise should receive and log vehicle performance data at least every 5 minutes to ensure comprehensive data accuracy for emissions forecasting.

Fleet Operations Manager generates an emission summary report for a selected period, summarizing total emissions and the effectiveness of chosen routes in reducing environmental impact.

Given that the Fleet Operations Manager selects a specific time frame for reporting, when they request the emission summary report, then the system must generate a full report within 10 seconds, detailing total emissions and eco-friendly route effectiveness during the selected period.

The FleetWise platform alerts the fleet manager if a selected route significantly exceeds average emissions identified in the data from integrated telematics systems.

Given that a route is selected, when the emissions prediction exceeds standard thresholds, then the system must trigger an alert to the Fleet Operations Manager within 5 seconds of the forecast calculation.

Greener Driver Training Modules

Greener Driver Training Modules provide educational resources and training for drivers on eco-friendly driving techniques. Through interactive modules and simulations, this feature equips drivers with knowledge on how to minimize fuel usage and reduce emissions while maximizing payload efficiency.

Requirements

Interactive Eco-Driving Modules

User Story: As a fleet manager, I want my drivers to complete interactive eco-driving training modules so that they can learn how to reduce fuel consumption and minimize emissions during their routes.
Description: This requirement entails the development of interactive training modules that educate drivers on eco-friendly driving practices. The modules will include simulations that illustrate the impact of driving behaviors on fuel consumption and emissions. By engaging drivers with real-world scenarios and feedback, the interactive features aim to enhance understanding and retention of sustainable practices. The ultimate goal is to decrease overall fleet emissions and fuel costs, aligning with FleetWise's sustainability objectives and enhancing drivers' awareness of their operational impact.
Acceptance Criteria: Drivers access the interactive eco-driving modules through their FleetWise dashboard and select a training session.

Given the driver is logged into the FleetWise platform, when they navigate to the Greener Driver Training Modules, then they should see a list of available interactive eco-driving training modules with descriptions and estimated completion times.

A driver completes an eco-driving module and receives feedback based on their performance during the simulation.

Given the driver has finished an interactive eco-driving training module, when the module is completed, then the driver should receive a detailed feedback report highlighting their fuel-saving potential and environmental impact based on their driving choices during the simulation.

The effectiveness of the eco-driving modules is evaluated post-training by measuring the reduction in fuel consumption and emissions.

Given a cohort of drivers has completed the eco-driving training modules, when analyzing fuel consumption and emissions data for the following month, then a minimum 10% reduction in fuel usage and emissions compared to the previous month should be observed for those drivers.

Drivers can track their progress and scores from the eco-driving modules over time.

Given the driver has participated in multiple eco-driving modules, when they view their training progress on the FleetWise dashboard, then they should see their completion rates, average scores, and areas for improvement visually represented in a user-friendly format.

Drivers are surveyed after completing the eco-driving modules to assess their understanding and retention of eco-driving practices.

Given the driver has completed the eco-driving training module, when they are surveyed one week later, then at least 80% of respondents should accurately describe at least three eco-driving techniques learned during the training.

The eco-driving module content is regularly reviewed and updated based on new data and user feedback.

Given the eco-driving modules have been active for six months, when the content is reviewed, then at least 75% of the modules should reflect the latest industry best practices and integrate feedback received from at least 50% of users.

Progress Tracking Dashboard

User Story: As a fleet manager, I want a dashboard to track my drivers' training progress in eco-driving modules so that I can ensure they are all engaged and knowledgeable about sustainable driving practices.
Description: This requirement focuses on creating a dashboard feature that allows fleet managers to track the progress of driver participation in the Greener Driver Training Modules. The dashboard will visually represent completion rates, quiz scores, and feedback from trainers. This feature will enable managers to identify drivers who may require additional training or support, ensuring that all drivers are proficient in eco-friendly driving techniques and can contribute to the fleet's sustainability goals. Integration with existing analytics will provide a holistic view of training effectiveness and overall fleet performance.
Acceptance Criteria: Tracking Driver Participation in Greener Driver Training Moduules

Given a fleet manager accesses the Progress Tracking Dashboard, when they view the driver participation section, then they can see a visual representation of completion rates for each driver, along with indications of which drivers have completed the training and which have not.

Viewing Quiz Scores of Drivers

Given a fleet manager is on the Progress Tracking Dashboard, when they select a specific driver, then they can view the driver’s quiz scores and progress on the training modules, including the average score and any comments from trainers.

Identifying Drivers Needing Additional Training

Given a fleet manager is using the Progress Tracking Dashboard, when they analyze the completion rates and quiz scores, then they can identify drivers who have not completed training or who scored below a predefined threshold, ensuring efficient follow-up and support measures can be implemented.

Integration with Existing Analytics Tools

Given the Progress Tracking Dashboard is being utilized, when the fleet manager views fleet performance metrics, then they can access integrated analytics that provides insights into how training impacts overall fuel consumption and operational efficiency.

Receiving Feedback from Trainers

Given a fleet manager uses the Progress Tracking Dashboard, when they check the feedback section for a specific driver, then they can view consolidated comments and recommendations from trainers regarding the driver’s performance and areas needing improvement.

User Accessibility and Usability of the Dashboard

Given the Progress Tracking Dashboard is launched, when fleet managers navigate through the dashboard, then they can easily locate all relevant sections, with intuitively designed user interfaces that enhance their ability to track progress and interpret data.

Generating Reports from the Dashboard Data

Given the dashboard is fully operational, when a fleet manager opts to generate a report of driver training progress, then the system produces a comprehensive report that includes completion rates, quiz scores, and feedback, available in PDF format for easy sharing.

Certification System

User Story: As a driver, I want to receive a certification after completing the eco-driving training modules so that I can prove my commitment to sustainable driving practices and advance my professional credentials.
Description: This requirement details the implementation of a certification system for drivers who complete the Greener Driver Training Modules. Upon successful completion, drivers will receive a digital certification that signifies their understanding of eco-driving techniques. This certification can be used to incentivize drivers or as a criterion for further training opportunities. Additionally, it can serve as a valuable asset for the transportation company, showcasing their commitment to sustainability and responsible fleet management practices when communicating with clients and stakeholders.
Acceptance Criteria: Driver completes all interactive modules and simulations within the Greener Driver Training Modules to be eligible for certification.

Given a driver has completed all interactive modules and simulations, when they submit their final assessment, then they should receive a digital certification indicating successful completion of the training.

Digital certification is accessible for download by drivers upon successful completion of the training modules.

Given a driver has successfully completed the training, when they log into their account, then they should see an option to download their digital certification.

The certification system integrates with the company's existing driver profiles to update completion status automatically.

Given a driver has completed the training, when the certification is awarded, then the driver's profile should automatically reflect the updated certification status.

Transportation companies are able to view and track the certifications received by their drivers.

Given a transportation company administrator accesses the dashboard, when they view the driver certification reports, then they should see a list of all drivers with their corresponding certification status and dates.

Certification serves as a prerequisite for advanced training opportunities.

Given a driver does not have the certification status, when they attempt to enroll in advanced training modules, then they should receive a notification indicating they must complete the Greener Driver Training Modules first.

Drivers are incentivized based on completed training and certification.

Given a driver has received their digital certification, when the company policy is applied, then they should be eligible for the specified incentives such as bonuses or points within the company rewards program.

The certification can be presented by drivers to clients or stakeholders to demonstrate eco-driving proficiency.

Given a driver possesses their digital certification, when they show it to clients or stakeholders, then it should accurately represent their completion of eco-driving training and display the date of issue.

Gamification of Training

User Story: As a driver, I want gamified training modules that reward my progress in eco-driving so that I feel motivated to complete them and apply what I learn on the road.
Description: This requirement includes incorporating gamification elements into the training modules to increase engagement and motivation among drivers. Features such as points, badges, and leaderboards will reward drivers for completing training modules, participating in quizzes, and implementing eco-friendly practices in real time. By transforming training into a competitive yet collaborative experience, this feature is expected to enhance knowledge retention and encourage friendly competition that promotes sustainable behaviors within the fleet.
Acceptance Criteria: Gamification of Training Module Engagement

Given a driver has logged into the Greener Driver Training Modules, when they complete a training module, then they should receive points based on their performance and completion time.

Leaderboard Functionality

Given multiple drivers have completed training modules, when they view the leaderboard, then it should display the top 10 drivers ranked by points accumulated from completed modules and quizzes.

Badge Achievement for Eco-Friendly Practices

Given a driver implements eco-friendly driving practices, when the system detects the implementation, then the driver should receive a badge that reflects their achievement on their profile.

Quizzes and Rewards System

Given a driver completes a quiz after a training module, when they achieve a score of 80% or higher, then they should receive additional points and a certificate of completion.

Feedback Loop for Continuous Improvement

Given a driver has completed a training module, when they submit feedback about the module, then the feedback should be logged and reviewed for future improvements.

Real-Time Performance Tracking

Given a driver is operating a vehicle, when they utilize eco-driving techniques, then their real-time performance analytics should reflect lower fuel consumption and reduced emissions accordingly.

Engagement Metrics Reporting

Given all drivers have participated in gamified training, when a report is generated, then it should indicate driver engagement levels, performance improvements, and overall participation rates.

Feedback and Improvement Loop

User Story: As a driver, I want to provide feedback on the training modules so that I can help improve them for myself and my colleagues, ensuring that they meet our needs and challenges in eco-driving.
Description: This requirement establishes a feedback mechanism that allows drivers to provide input on the training modules and share their experiences implementing eco-driving techniques. This feedback will be analyzed to continuously improve the training content and user experience. Implementing this feature ensures that training remains relevant and responsive to the needs of the drivers and addresses any gaps in knowledge or practice. It also empowers drivers by valuing their opinions and experiences in the learning process, promoting a culture of sustainability and improvement.
Acceptance Criteria: Driver Feedback Submission for Training Modules

Given a driver who has completed the Greener Driver Training Modules, when they access the feedback section, then they should be able to submit their feedback via a user-friendly form that includes ratings and comments.

Feedback Analytics and Reporting

Given collected feedback from drivers, when the feedback is analyzed, then a report should be generated that summarizes common themes, ratings, and suggestions for improvement, and these results should be accessible to management.

Feedback Iteration on Training Content

Given the generated report from driver feedback, when the training content is reviewed, then the content should be updated to incorporate the suggestions and address knowledge gaps identified in the feedback process.

Driver Notification of Training Updates

Given that the training modules have been updated based on driver feedback, when drivers log in to their accounts, then they should receive a notification about the new content available for their review.

Measure Impact of Training Program Adjustments

Given changes made to the training modules from feedback, when a follow-up survey is sent to drivers, then the survey should show an increase in driver confidence and knowledge regarding eco-driving techniques.

User Experience Monitoring for Feedback Loop

Given the implementation of the feedback mechanism, when analyzing user engagement metrics, then there should be a measurable increase in the number of feedback submissions and overall participation in the eco-driving training modules over the next quarter.

Driver Involvement in Continuous Improvement

Given that drivers can provide feedback, when they submit comments on the training modules, then at least 70% of feedback submissions should indicate that drivers feel their input is valued and leads to tangible improvements in training.

Real-Time Eco-Driving Performance Monitoring

User Story: As a fleet manager, I want to monitor my drivers' eco-driving performance in real time so that I can provide immediate feedback and support to help them improve their driving habits.
Description: This requirement involves developing a real-time monitoring system that tracks drivers' eco-driving performance using telematics data. The system will analyze driving behaviors such as harsh braking, acceleration, and idling times to provide instant feedback to drivers. This feature will contribute to ongoing education and support, allowing drivers to see the effects of their driving behavior on fuel consumption and emissions immediately. Integrating this system with the training modules can create a cohesive learning environment that reinforces the principles of eco-driving in practice.
Acceptance Criteria: Monitoring Eco-Driving Performance During Daily Routes

Given a driver is on their daily route, when the telematics system detects instances of harsh braking, rapid acceleration, or excessive idling, then the driver should receive real-time feedback on their eco-driving performance through the FleetWise dashboard.

Feedback Loop for Driver Improvement

Given a driver has received feedback on their eco-driving performance, when they implement changes to their driving behavior based on this feedback, then the system should show measurable improvements in their driving score within one week.

Integration with Greener Driver Training Modules

Given a driver has completed the Greener Driver Training Modules, when they engage with the real-time monitoring system, then the system should reinforce key training principles by providing tailored feedback based on the training content they learned.

Comparison of Fuel Consumption Before and After Training

Given a driver has completed the eco-driving training and used the monitoring system for one month, when comparing fuel consumption metrics before and after this period, then there should be at least a 15% reduction in fuel usage.

User-Friendly Dashboard for Performance Summary

Given a driver accesses their performance dashboard, when they view their eco-driving metrics, then the dashboard should provide clear, actionable insights and summaries of overarching performance trends for the last 30 days.

Alerts for Critical Driving Behavior

Given a driver engages in critical eco-driving violations such as excessive idling for more than 5 minutes, when this behavior occurs, then the telematics system should send an immediate alert to the driver with tips to improve their performance.

Weekly Progress Reports to Management

Given the monitoring system collects data on all drivers, when a week has passed, then the system should generate and send a report to management summarizing overall fleet eco-driving performance and areas for improvement.

Real-Time Performance Monitoring

Real-Time Performance Monitoring continuously tracks key vehicle metrics such as engine temperature, oil levels, and battery health using IoT sensors. This feature ensures that Vehicle Maintenance Technicians receive instant alerts for any anomalies, enabling immediate attention to potential issues. By preemptively addressing maintenance needs, fleets can significantly reduce the likelihood of unexpected breakdowns and costly repairs.

Requirements

Instant Anomaly Alerts

User Story: As a Vehicle Maintenance Technician, I want to receive instant alerts for any anomalies in vehicle performance so that I can address maintenance issues before they lead to costly repairs or breakdowns.
Description: The Instant Anomaly Alerts requirement ensures that the Real-Time Performance Monitoring system generates immediate notifications for Vehicle Maintenance Technicians when key vehicle metrics fall outside predefined thresholds. This includes alerts for engine temperature spikes, low oil levels, and declining battery health. The alerts will be sent via the FleetWise dashboard and mobile application, allowing technicians to act promptly to prevent potential vehicle breakdowns. This functionality is crucial for maintaining vehicle reliability and minimizing downtime, thus optimizing fleet operations and reducing maintenance costs.
Acceptance Criteria: Vehicle Maintenance Technician receives an instant alert on the FleetWise dashboard when the engine temperature exceeds the predefined threshold during a routine vehicle inspection.

Given a vehicle's engine temperature exceeds the defined threshold, When the performance monitoring system detects the anomaly, Then the Vehicle Maintenance Technician receives an immediate alert on the FleetWise dashboard.

When a Vehicle Maintenance Technician is using the mobile application, they receive an alert for low oil levels in a vehicle that is currently in operation.

Given a vehicle's oil level falls below the predefined threshold, When the performance monitoring system detects the low oil level, Then the Vehicle Maintenance Technician receives an instant notification through the mobile application.

During a scheduled maintenance review, Vehicle Maintenance Technicians should be able to access historical anomaly alert data from the FleetWise system.

Given the historical data of vehicle anomalies is stored in the system, When the Vehicle Maintenance Technician requests the past 30 days of alert history, Then the system should display all relevant anomaly alerts in chronological order.

When battery health declines below the acceptable level while the vehicle is being driven, the driver should receive an alert on the vehicle's dashboard.

Given the vehicle's battery health is monitored in real-time, When the battery health drops below the predefined threshold, Then an alert is displayed on the vehicle's dashboard notifying the driver to seek maintenance.

Alerts for any detected anomalies should be configurable by the Vehicle Maintenance Technicians to set their preferences for notification methods.

Given the Vehicle Maintenance Technician accesses alert settings, When they modify notification preferences for alerts, Then the changes should be saved and reflected in the method of receiving future alerts.

Historical Data Analytics

User Story: As a Fleet Manager, I want to analyze historical performance data for my vehicles so that I can identify trends and optimize our maintenance schedule to reduce downtime.
Description: The Historical Data Analytics requirement allows users to analyze past vehicle performance metrics collected over time. This includes data on engine temperature, oil levels, and battery health trends. Users will be able to generate reports that highlight patterns, identify recurring issues, and forecast potential future maintenance needs. This feature empowers transportation companies to make data-driven decisions regarding maintenance schedules, optimizing fleet availability and preventing unexpected incidents. The analytics will be integrated into the FleetWise dashboard for easy access.
Acceptance Criteria: Historical Performance Monitoring for Fleet Managers

Given that the User is a Fleet Manager, when they access the Historical Data Analytics feature from the FleetWise dashboard, then they should be able to view a summary of vehicle performance metrics over the past 12 months, including charts and graphs.

Incident Reporting Based on Historical Data Insights

Given that a Vehicle Maintenance Technician identifies a recurring issue from the historical performance reports, when they generate a report detailing the incidents, then they should be able to submit this report to management with insights and recommendations before the next maintenance scheduling.

Trend Analysis and Forecasting

Given that the User is analyzing historical data, when they select specific metrics such as engine temperature and oil levels, then they should be able to generate predictive maintenance alerts based on identified trends over the last three months.

Custom Reporting Tool for Historical Analysis

Given that the User wants to customize their analysis, when they select various parameters (e.g., date range, vehicle type) in the reporting tool, then they should be able to generate a customizable report that meets their specifications.

User Training and Documentation for Historical Data Feature

Given that the Historical Data Analytics feature has been implemented, when a training session is completed for the fleet staff, then they should be able to effectively navigate and utilize the analytics tools as per provided documentation without assistance.

Customizable Alerts Dashboard

User Story: As a Fleet Operations Manager, I want to customize the alerts I receive regarding vehicle performance metrics so that I can prioritize my attention based on our operational needs and respond effectively.
Description: The Customizable Alerts Dashboard requirement provides users with the capability to tailor the alerts they receive based on specific vehicle metrics and thresholds that matter most to their operations. Users can choose which alerts to activate, set their thresholds, and determine the method of notification (email, SMS, or in-app). This flexibility allows users to focus on the most critical parameters relevant to their fleet operations, enhancing their ability to respond quickly to potential issues and improving overall maintenance efficiency.
Acceptance Criteria: User selects specific vehicle metrics for alerts and sets their thresholds in the dashboard.

Given the user is on the Customizable Alerts Dashboard, when they select metrics and set thresholds, then those alerts should be saved and active according to the user’s preferences.

User chooses the notification method for alerts (email, SMS, in-app).

Given the user has selected their preferred notification methods, when an alert is triggered, then the user should receive the alert through the chosen notification method.

Vehicle maintenance technician receives an alert for engine temperature exceeding the set threshold.

Given that a technician has configured alerts for engine temperature, when the temperature exceeds the defined threshold, then the technician should receive an immediate alert.

User modifies an existing alert for battery health metrics.

Given the user is on the Customizable Alerts Dashboard, when they change the threshold for battery health alerts, then the modifications should be reflected accurately without errors in the dashboard.

System logs all alerts triggered and notifications sent to users.

When an alert is triggered, then the system should record the alert details and the method of notification sent in the log for future reference.

User reviews and manages their alert settings in the dashboard.

Given the user is on the Customizable Alerts Dashboard, when they view their current alert settings, then all previously configured alerts should be displayed accurately on the screen.

User receives an overview of alert statistics over a specified period.

Given the user requests alert statistics, when the system processes the request, then a summary report of alerts triggered within the specified period should be presented to the user.

Mobile Performance Monitoring

User Story: As a Fleet Manager, I want to monitor vehicle performance metrics and receive alerts on my mobile device so that I can manage fleet operations even when I'm away from the office.
Description: The Mobile Performance Monitoring requirement ensures that all real-time vehicle performance metrics and alerts are accessible through a mobile application. This allows Vehicle Maintenance Technicians and Fleet Managers to monitor vehicle health and receive alerts while on the go, enhancing their ability to manage fleet performance in real time. The mobile interface will feature an intuitive design, ensuring users can quickly view vital metrics and respond to alerts regardless of location, thus improving responsiveness and operational efficiency.
Acceptance Criteria: Mobile Performance Monitoring for Fleet Managers on the Go

Given a Fleet Manager is using the mobile application, When they select a vehicle from the dashboard, Then they should see real-time performance metrics including engine temperature, oil levels, and battery health within 3 seconds.

Instant Alerts for Vehicle Maintenance Technicians

Given a Vehicle Maintenance Technician has the mobile application open, When an anomaly in vehicle performance metrics is detected, Then an alert should be generated and displayed on the app within 5 seconds.

User-Friendly Mobile Interface for Performance Monitoring

Given a Fleet Manager or Technician is using the mobile application, When they navigate through different performance metrics, Then they should be able to access all key metrics with no more than three taps, and view metrics with a 95% readability score on the first attempt.

Accessing Historical Performance Data via Mobile App

Given a Vehicle Maintenance Technician wants to review historical vehicle performance metrics, When they select the historical data option, Then they should be able to view performance data for the past six months within 10 seconds.

Syncing Mobile Application with Real-Time IoT Sensors

Given the mobile application is open, When vehicle performance data is updated by IoT sensors, Then the app should sync and display updated metrics in real time without requiring refresh by the user.

Notification Settings Customization for Alerts

Given a Fleet Manager is in the mobile app settings, When they customize alert preferences, Then the settings should be saved and applied, and reflected in notifications for the next 10 sessions without error.

Offline Access for Important Vehicle Metrics

Given that the mobile application is in use without an active internet connection, When a user requests access to essential vehicle performance metrics, Then the app should display cached data for at least the last 24 hours without any loss in accuracy.

Integration with Maintenance Scheduling Software

User Story: As a Vehicle Maintenance Technician, I want the Performance Monitoring system to integrate with our maintenance scheduling software so that I can automatically create and manage maintenance tasks based on real-time vehicle data.
Description: The Integration with Maintenance Scheduling Software requirement ensures that the Real-Time Performance Monitoring system can seamlessly connect with existing maintenance scheduling tools used by fleet operators. By integrating these systems, technicians can automatically schedule maintenance based on vehicle performance data and anomalies detected. This integration will streamline the maintenance process, allow for more efficient planning, and reduce the likelihood of overlooking critical maintenance needs, contributing to improved vehicle reliability and reduced downtime.
Acceptance Criteria: Integration with Maintenance Scheduling Software for vehicle performance alerts is successfully established and reflects real-time data inputs during a maintenance technician's shift when they receive alerts on an issue regarding a specific vehicle's performance metrics.

Given that the real-time performance monitoring has detected an anomaly in a vehicle's engine temperature, when the maintenance technician checks the maintenance scheduling software, then the schedule should automatically reflect the flagged vehicle with the corresponding maintenance alert and recommended action based on real-time data.

A maintenance technician interacts with the system to schedule necessary maintenance tasks based on the performance data received through integration with the scheduling software after an alert is triggered.

Given an alert is triggered for a vehicle's low oil level, when the technician accesses the maintenance scheduling software, then they must be able to view recommended maintenance tasks relating to that alert, and be able to schedule these tasks directly from the interface.

The integration system is tested during peak operational hours, ensuring alerts and scheduling updates do not disrupt the maintenance workflows.

Given that a vehicle alert is triggered during peak operational hours, when the technician monitors the system, then the alerts should be received without delay, and the scheduling software should update without any performance lag or errors.

Fleet managers review the system's reporting on past alerts and maintenance action taken, ensuring it provides a comprehensive analysis of integration efficiency.

Given a fleet manager requests a report on maintenance actions taken based on integration prompts, when they generate the report, then the report should include detailed logging of alerts, respective maintenance actions taken, and an overview of vehicle downtime before and after actions were implemented.

The integration setup process is completed, and ongoing support documentation is tested and validated for usability by end-users.

Given the integration with maintenance scheduling software is set up, when technicians refer to the provided documentation for troubleshooting, then they must find the information complete and easily understandable, enabling them to resolve issues efficiently without external assistance.

Data privacy and security measures are in place for transferring vehicle performance data to the maintenance scheduling software.

Given vehicle performance data is being sent to the scheduling software, when the data is transmitted, then it must be encrypted in transit and comply with applicable data protection regulations to ensure the security of sensitive information.

Maintenance Scheduling Assistant

The Maintenance Scheduling Assistant utilizes predictive analytics to create optimized maintenance schedules tailored to each vehicle’s usage patterns and performance data. This feature helps Fleet Operations Managers efficiently allocate resources and plan for maintenance during non-peak hours, minimizing disruption and enhancing fleet availability while ensuring vehicles remain in top operating condition.

Requirements

Predictive Maintenance Alerts

User Story: As a Fleet Operations Manager, I want to receive predictive maintenance alerts so that I can address maintenance needs proactively and prevent vehicle breakdowns.
Description: This requirement involves the development of a real-time alert system for fleet managers that notifies them about impending maintenance needs based on predictive analytics. By integrating performance data and usage patterns, the alert system will proactively inform users of maintenance requirements before they become critical issues, thereby reducing downtime and enhancing vehicle reliability. The alerts will be customizable, allowing users to set thresholds and parameters according to their specific operational needs. This feature is crucial for ensuring that maintenance is performed timely and efficiently, optimizing fleet availability and reducing operational costs.
Acceptance Criteria: Real-time maintenance alerts for fleet managers during work hours.

Given a fleet manager has logged into FleetWise, when a vehicle reports a maintenance need based on predictive analytics, then an immediate alert is displayed on the dashboard with detailed information about the issue and recommended actions.

Customization of alert thresholds by fleet managers for specific vehicles.

Given that a fleet manager wants to adjust the maintenance alert thresholds, when they access the settings for vehicle maintenance alerts, then they can successfully modify parameters for notifications, including frequency and severity levels.

Reviewing maintenance alerts that have been generated over the past week.

Given a fleet manager is reviewing past alerts, when they navigate to the alert history section, then they can see a complete list of all notifications received, including timestamps and issue descriptions, filtering options should be available for better insights.

Receive alerts via email or SMS for urgent maintenance issues.

Given a fleet manager has subscribed to notifications for urgent maintenance alerts, when an urgent issue is detected, then an email and SMS notification is sent to the manager’s registered contact information.

Integration of maintenance alerts with calendar scheduling tools for planning.

Given a fleet manager wants to schedule maintenance tasks, when a maintenance alert is received, then there is an option to automatically add the maintenance task to their connected calendar applications with relevant details.

Evaluation of alert effectiveness after a maintenance task is performed.

Given that maintenance has been performed based on a received alert, when the fleet manager evaluates the vehicle's performance post-maintenance, then they can confirm that the alert accurately predicted the maintenance need and that no further issues were reported for that vehicle for a specified period.

Training and support for fleet managers on using the alert system.

Given that new fleet managers join the team, when they complete the training session provided, then they must demonstrate the ability to set up alerts and understand how to respond to them effectively as measured by a follow-up assessment.

Automated Maintenance Scheduling

User Story: As a Fleet Operations Manager, I want the system to automatically schedule maintenance based on predictive analytics so that I can minimize operational disruption and keep my fleet in optimal condition.
Description: This requirement focuses on creating an automated scheduling system that uses predictive analytics to generate maintenance schedules based on vehicle usage and performance data. The system will allocate maintenance tasks during non-peak hours to minimize disruption, ensuring that vehicles are available for operations while maintaining their condition. Users will have the ability to manually adjust schedules or override automated suggestions if necessary. This feature will empower fleet managers to allocate resources efficiently and streamline operations, leading to improved vehicle uptime and reduced operational costs.
Acceptance Criteria: Fleet Operations Manager schedules maintenance for a vehicle using the automated system during peak operational hours to minimize downtime.

Given a vehicle's usage and performance data, when the Fleet Operations Manager initiates the automated scheduling, then the system should generate a maintenance schedule that allocates tasks during non-peak hours with at least 95% match against historical operational data.

A fleet manager reviews and overrides an automated maintenance schedule generated by the system.

Given an automated maintenance schedule, when the fleet manager identifies necessary adjustments and manually overrides the suggested schedule, then the system should allow the manager to save and implement the new schedule successfully with a confirmation message.

The automated maintenance scheduling system provides alerts for upcoming maintenance tasks.

Given that the automated scheduling system is active, when a maintenance task is due within the next 7 days, then the system should send an alert notification to the Fleet Operations Manager via email and in-app notification.

A fleet manager analyzes historical maintenance data to adjust the automated scheduling parameters.

Given the historical maintenance and performance data, when the fleet manager modifies the scheduling parameters, then the system should reflect the new parameters in the automated scheduling algorithm and apply them to upcoming schedules.

The system generates a report showing the effectiveness of the automated maintenance scheduling after one month of use.

Given that the automated scheduling has been in use for one month, when the fleet manager requests a report, then the system should generate a report that displays key metrics such as vehicle uptime, maintenance cost savings, and schedule compliance rate with a minimum of 80% accuracy compared to manual records.

The system identifies a vehicle that requires immediate maintenance based on real-time performance data.

Given the real-time performance data is monitored, when a vehicle's performance drops below acceptable thresholds, then the system should automatically flag the vehicle for urgent maintenance and provide a suggested immediate maintenance schedule.

Integrated Analytics Dashboard

User Story: As a Fleet Operations Manager, I want an integrated analytics dashboard so that I can have visibility into my fleet's maintenance needs and performance metrics in one place.
Description: This requirement entails the creation of an integrated analytics dashboard that visualizes maintenance schedules, vehicle performance, and historical data within a single interface. The dashboard will provide fleet managers with insights into fleet health and maintenance needs, allowing for data-driven decision-making. It will feature customizable data views and reports to track performance trends over time. This integration will enhance the user experience by centralizing information, facilitating easier monitoring of fleet status, and improving communication within the operations team.
Acceptance Criteria: Dashboard Overview for Fleet Managers

Given a logged-in fleet manager, when they access the integrated analytics dashboard, then it should display a summary view of all vehicle performance metrics and maintenance schedules in a visually accessible format.

Customizable Reporting

Given a fleet manager on the dashboard, when they select customization options, then they should be able to filter and sort data by vehicle, date range, and performance parameters, and save these customized views for future access.

Historical Data Access

Given a fleet manager utilizing the dashboard, when they select a vehicle from the list, then they should be able to view historical performance data and maintenance logs for that vehicle over a specified time period.

Alerts and Notifications Integration

Given a fleet manager on the dashboard, when a vehicle is approaching its maintenance due date, then the system should automatically generate an alert and display it prominently on the dashboard.

Performance Trends Visualization

Given the integrated analytics dashboard, when the fleet manager selects a performance metric, then the dashboard should display historical trends in a graphical format (bar chart, line graph, etc.) to aid in decision-making.

Team Communication Enhancement

Given a fleet manager using the dashboard, when they access team communication tools, then they should be able to send messages regarding maintenance updates or alerts directly from the dashboard to relevant team members.

Mobile Accessibility of the Dashboard

Given a fleet manager accessing the dashboard on a mobile device, when they log in, then the dashboard should be optimized for mobile viewing, maintaining function and accessibility of all key features without loss of information.

Resource Allocation Optimization

User Story: As a Fleet Operations Manager, I want a resource allocation tool that helps me optimize personnel and equipment for scheduled maintenance so that I can ensure efficient operations and reduce costs.
Description: This requirement aims to develop a resource allocation tool that assists fleet managers in planning and managing maintenance personnel and equipment based on predicted maintenance needs. By analyzing scheduling patterns and vehicle utilization data, the tool will recommend optimal resource allocation to ensure that maintenance activities are not only timely but also carried out with the right workforce and tools. This will streamline the maintenance process, enhance efficiency, and reduce labor costs associated with poorly planned maintenance activities.
Acceptance Criteria: Use case for scheduling maintenance activities based on predictive analytics during peak operational hours.

Given the maintenance scheduling assistant is implemented, when a vehicle's usage patterns indicate a high likelihood of maintenance needs, then the system must propose an optimal maintenance schedule during non-peak hours, ensuring at least a 75% availability of the vehicle during operational times.

Fleet managers accessing the resource allocation tool to create maintenance schedules weekly.

Given the fleet manager has input vehicle utilization data into the resource allocation tool, when generating the maintenance schedule, then the tool must recommend a minimum of two qualified maintenance personnel and necessary equipment for each maintenance task, achieving a minimum efficiency improvement of 20% in scheduled maintenance operations.

The tool's performance being evaluated over a month to assess resource allocation accuracy.

Given a one-month trial of the resource allocation tool, when comparing recommended resource allocations to actual maintenance operations, then at least 90% of the recommended resource allocations must correlate with on-time maintenance execution, demonstrating the tool's predictive accuracy.

Monitoring the cost savings from using the resource allocation optimization tool.

Given the fleet has utilized the resource allocation tool for a full quarter, when analyzing labor costs compared to the previous quarter without the tool, then the analysis must show a decrease of at least 15% in total labor costs, confirming the tool’s effectiveness in optimizing resource allocation.

Training sessions for fleet managers on how to use the resource allocation tool effectively.

Given that training sessions are conducted, when fleet managers complete the training, then at least 85% of attendees should pass a post-training assessment with a score of 80% or higher, indicating a solid understanding of the tool's functionalities.

Mobile Maintenance Management

User Story: As a Fleet Operations Manager, I want a mobile application for maintenance management so that I can oversee maintenance tasks and communicate effectively with my team while on the move.
Description: This requirement includes the development of a mobile application that allows fleet managers and maintenance personnel to access maintenance schedules, receive alerts, and manage tasks on-the-go. The mobile app will facilitate real-time updates and communication between the office and field personnel, ensuring that all stakeholders are informed about maintenance needs and schedules. This feature will enhance flexibility and responsiveness, enabling faster decision-making and execution of maintenance tasks outside the office environment.
Acceptance Criteria: Fleet Manager accesses the mobile app on-site to check the maintenance schedule for a specific vehicle before it starts its route, ensuring all necessary maintenance tasks are completed.

Given the Fleet Manager is logged into the mobile app, when they request the maintenance schedule for a specific vehicle, then the app displays the upcoming maintenance tasks and their status within 5 seconds.

Maintenance personnel receives real-time alerts on the mobile app about a vehicle that requires immediate maintenance due to detected issues during a routine check.

Given that a vehicle has detected maintenance issues, when the alert is sent through the app, then the maintenance personnel receives the alert within 2 minutes on their mobile device.

A Fleet Operations Manager reviews and edits the maintenance schedule on the mobile app while attending a meeting away from the office, ensuring the schedule is updated for field personnel.

Given the Fleet Operations Manager is reviewing the maintenance schedule on the mobile app, when they make changes to a scheduled task and save it, then the updated schedule is immediately reflected for all users of the app.

Field personnel need to log maintenance completion using the mobile application after performing routine checks on the fleet vehicles, ensuring accurate tracking of maintenance activities.

Given the field personnel has completed a maintenance task on a vehicle, when they log the completion in the mobile app, then the task's status updates to 'Completed' and reflects the timestamp correctly within 3 seconds.

Fleet managers want to analyze historical maintenance data through the mobile app to make informed decisions about fleet management and resource allocation.

Given the Fleet Manager accesses the historical maintenance section of the mobile app, when they select a specific vehicle's history, then the app displays a comprehensive log of maintenance activities, including dates and types of services performed, within 10 seconds.

A user in the mobile app attempts to access maintenance schedules without an internet connection, verifying that the app handles offline scenarios appropriately.

Given the user is offline, when they attempt to access the maintenance schedule in the mobile app, then the app displays a cached version of the last synced schedule and notifies the user about the offline status clearly.

Historical Trends Analysis

Historical Trends Analysis analyzes past vehicle performance and maintenance data to identify patterns and forecast future maintenance needs. By providing insights into recurring issues and their origins, this feature allows Vehicle Maintenance Technicians to target preventive measures more effectively. This foresight not only reduces downtime but also extends vehicle lifespans by addressing issues before they escalate.

Requirements

Data Visualization Dashboard

User Story: As a Vehicle Maintenance Technician, I want to visualize historical maintenance data in an interactive dashboard so that I can quickly identify trends and anticipate future maintenance needs, allowing me to address issues before they escalate.
Description: The Data Visualization Dashboard requirement focuses on the creation of an intuitive interface that displays historical trends in vehicle performance and maintenance data through interactive charts and graphs. This feature will enable Vehicle Maintenance Technicians to easily identify patterns, assess recurring issues, and understand the overall health of the fleet at a glance. By visualizing historical data, the dashboard enhances decision-making capabilities, aids in the forecasting of future maintenance needs, and promotes proactive management of vehicle conditions, ultimately leading to improved operational efficiency and reduced downtime.
Acceptance Criteria: Vehicle Maintenance Technicians use the Data Visualization Dashboard to analyze historical performance data of a specific vehicle over the past year to identify recurring maintenance issues.

Given the Data Visualization Dashboard is accessible, when the technician selects a vehicle and filters the performance data for the past year, then the dashboard should display interactive charts that highlight recurring maintenance issues, showing at least three clear trends or patterns.

A Vehicle Maintenance Technician wants to forecast future maintenance needs for the fleet using data visualizations from the dashboard.

Given the historical data is uploaded and processed, when the technician navigates to the forecasting section of the dashboard, then it should display predictive graphs indicating potential maintenance requirements for the next quarter based on trends from the past year, with at least 80% accuracy.

The Data Visualization Dashboard is utilized by the management team to assess the overall health of the fleet through performance metrics.

Given the dashboard is available for management access, when they view the fleet-wide performance metrics, then the dashboard should present an overview of vehicle health with visual indicators (green, yellow, red) for at least 90% of the fleet, allowing for quick assessments of operational status.

Maintenance Technicians need to compare the historical performance data of two different vehicles on the dashboard.

Given two vehicles are selected for comparison on the dashboard, when the technician runs the comparison, then the dashboard should display side-by-side visualizations of key performance metrics, such as fuel usage, maintenance frequency, and downtime, enabling a clear contrast between the two vehicles.

The dashboard users require the ability to export historical trends data for reporting purposes.

Given the visualizations of historical trends are displayed on the dashboard, when the user wants to export the data, then they should be able to download the data in CSV format with all displayed metrics included, ensuring data integrity and accuracy.

Vehicle Maintenance Technicians need real-time update notifications on the dashboard for any new maintenance records entered in the system.

Given that new maintenance records are logged in the system, when the technician accesses the dashboard, then they should receive real-time notifications prompting them to review the new data, ensuring they stay informed of all vehicle updates.

Automated Alerts for Maintenance Needs

User Story: As a Vehicle Maintenance Technician, I want to receive automated alerts for upcoming maintenance needs so that I can take preventive actions to avoid breakdowns and ensure optimal vehicle performance.
Description: The Automated Alerts for Maintenance Needs requirement involves the implementation of a notification system that proactively informs Vehicle Maintenance Technicians when specific thresholds of vehicle performance are met. By analyzing historical maintenance data and vehicle performance trends, the system will automatically trigger alerts for preventative maintenance measures, ensuring timely attention to potential issues. This capability not only aids in vessel longevity but also minimizes unscheduled downtimes by alerting technicians of maintenance needs based on data-driven insights, enhancing overall fleet reliability.
Acceptance Criteria: As a Vehicle Maintenance Technician, I receive an automated alert when a vehicle's mileage reaches the predefined threshold for maintenance based on historical trends data analysis.

Given the vehicle performance data thresholds are set, when a technician views the alerts dashboard, then they should see an alert for any vehicle that has reached its mileage threshold for maintenance.

As a Vehicle Maintenance Technician, I monitor the historical trends analysis to identify vehicles with recurring maintenance issues.

Given the historical performance data, when a technician reviews the maintenance report, then they should see a summary of vehicles with recurring issues and suggested preventive measures.

As a Vehicle Maintenance Technician, I assess the effectiveness of automated alerts in reducing unscheduled downtimes.

Given the implementation of the automated alerts, when comparing downtime metrics before and after the system activation, then there should be a 30% reduction in unscheduled downtimes.

As a Vehicle Maintenance Technician, I adjust alert thresholds based on recent data trends for improved efficiency.

Given the performance analysis, when a technician modifies the thresholds for alerts in the system settings, then the system should save these adjustments and apply them to future alerts.

As a Vehicle Maintenance Technician, I need to confirm that alert notifications are properly sent and received across different devices.

Given the automated alerts configuration, when a maintenance alert is triggered, then notifications should be received on both the web dashboard and mobile application within 5 minutes.

As a management team member, I review the effectiveness of the automated alert system.

Given the data collected over a month of using automated alerts, when management reviews the impact report, then they should see measurable improvements in maintenance response times and overall vehicle uptime by at least 25%.

As a Vehicle Maintenance Technician, I validate that alerts include detailed information on the maintenance needs.

Given an outgoing maintenance alert, when the technician opens the alert notification, then it should contain vehicle ID, issue description, recommended action, and urgency level.

Integration with Third-Party Maintenance Software

User Story: As a fleet manager, I want FleetWise to integrate with our existing maintenance software so that we can streamline our data handling, reduce manual entry errors, and improve our tracking of vehicle maintenance activities.
Description: The Integration with Third-Party Maintenance Software requirement outlines the need for seamless connectivity between FleetWise and existing maintenance management systems used by clients. This feature will allow for automated data sharing, including maintenance schedules and performance reports, fostering a streamlined workflow for vehicle maintenance operations. By integrating with popular third-party systems, FleetWise can enhance its value proposition, improve data accuracy, and reduce the manual effort associated with transferring maintenance-related data, resulting in more efficient operations and better insights for maintenance planning.
Acceptance Criteria: Integration with Third-Party Maintenance Software should provide a seamless connection to at least three popular maintenance management systems used by clients.

Given the user integrates FleetWise with a third-party maintenance system, when the integration is activated, then data such as maintenance schedules and performance reports are automatically shared without errors.

Users should be able to configure and customize the integration settings for third-party maintenance software according to their needs.

Given the user accesses the integration settings, when they customize settings for a connected maintenance system, then the changes are successfully saved and applied without issues.

Integration must ensure secure data transmission to protect sensitive maintenance information during transfer between systems.

Given that the user initiates data sharing, when the data is transmitted, then the transmission is encrypted and is compliant with industry security standards.

Users should receive notifications regarding successful or failed data transfers between FleetWise and the third-party maintenance systems.

Given that the integration is active, when a data transfer occurs, then the user receives an email notification indicating the success or failure of the transfer.

The system should allow users to view a log of all data transfers between FleetWise and third-party maintenance systems for audit purposes.

Given the user requests the data transfer log, when the log is retrieved, then it displays a complete history of all data transfers including timestamps and statuses.

Users should be able to test the integration setup before finalizing it, ensuring that all components are functioning correctly.

Given the user has configured the third-party integration, when they choose to test the integration, then the system performs a simulation and indicates if the setup is successful or if issues are detected.

Alert Customization Options

Alert Customization Options empower users to tailor predictive maintenance notifications based on severity, vehicle type, or specific parameters. Fleet Operations Managers and Vehicle Maintenance Technicians can prioritize alerts according to their operational needs, ensuring that the most critical maintenance issues are addressed first. This personalized approach enhances responsiveness and optimizes maintenance workflows.

Requirements

Severity-Based Alert Filtering

User Story: As a Fleet Operations Manager, I want to filter maintenance alerts by severity so that I can focus on the most critical issues first and allocate my resources more effectively.
Description: This requirement allows users to filter predictive maintenance notifications based on the severity level of the issues detected. Users can choose to receive alerts for critical issues only, or they can opt for a broader range of notifications. This feature enhances the user’s ability to focus on the most urgent maintenance needs while minimizing information overload from less critical alerts, thereby improving decision-making processes and operational efficiency.
Acceptance Criteria: User selects the severity level filter while configuring maintenance alerts in the FleetWise dashboard.

Given the user is on the alert configuration page, When the user selects the severity level as 'Critical', Then the system should only display alerts for critical maintenance issues.

User opts to receive alerts for both critical and high severity maintenance issues.

Given the user has chosen 'Critical' and 'High' from the severity filter options, When the maintenance system generates new alerts, Then the user should receive notifications for both critical and high severity issues only.

User wants to customize notifications received on mobile devices based on severity levels.

Given the user has set preferences for notifications on the mobile app, When a critical maintenance alert is triggered, Then the mobile app should send a push notification indicating the critical issue immediately.

User filters out informative alerts to reduce notification overload.

Given the user has opted to receive 'Critical' alerts only, When the system sends out maintenance notifications, Then no informational alerts should be sent to the user.

User needs to review past alerts filtered by severity for analysis.

Given the user accesses the past alerts page, When the user applies a filter for 'High' severity alerts, Then only alerts marked as 'High' should be displayed in the past alerts list.

Vehicle Type Segmentation

User Story: As a Vehicle Maintenance Technician, I want to customize maintenance alerts based on vehicle type so that I can ensure I address the specific needs of different vehicles effectively.
Description: This requirement enables users to customize alert settings based on different vehicle types within their fleet. Users can configure specific notification parameters for each vehicle category, ensuring that alerts are tailored to their unique maintenance needs and operating conditions. This capability improves the relevance of notifications and allows maintenance teams to prioritize tasks based on the vehicle type, further optimizing maintenance workflows.
Acceptance Criteria: Fleet Operations Manager customizes alert settings for different vehicle types to enhance maintenance prioritization.

Given a Fleet Operations Manager is logged into the FleetWise platform, when they navigate to the 'Alert Customization' section and select a vehicle type, then they should be able to configure severity parameters and notification preferences specific to that vehicle type.

Vehicle Maintenance Technician views alerts filtered by vehicle type to prioritize maintenance tasks efficiently.

Given a Vehicle Maintenance Technician is using FleetWise and accesses the alerts dashboard, when they select a specific vehicle type filter, then they should see only the alerts applicable to that vehicle type with accurate severity levels displayed.

Fleet Operations Manager tests the notification system for customized alerts on a specific vehicle type.

Given a Fleet Operations Manager has set up alert parameters for a specific vehicle type, when a maintenance issue is detected for that vehicle type, then the system should send an alert according to the configured parameters within 5 minutes.

Fleet Operations Manager reviews the efficiency of alert customization through dashboard analytics.

Given a Fleet Operations Manager accesses the analytics dashboard after customizing alerts, when they review alert response times and task completion times by vehicle type, then they should observe improved performance metrics compared to pre-customization data.

System administrator validates the robustness of the alert customization feature post-implementation.

Given a system administrator is tasked with validating the new alert customization feature, when they conduct a series of tests configuring various parameters for different vehicle types, then all configurations should save correctly and function without errors when notifications are triggered.

Parameter-Specific Alerts

User Story: As a Vehicle Maintenance Technician, I want to define specific parameters for maintenance alerts so that I can be notified only when critical thresholds are reached, ensuring proactive maintenance without redundancy.
Description: This requirement provides users with the ability to set alerts based on specific parameters, such as mileage thresholds, oil levels, and performance metrics. Users can define the exact conditions that trigger notifications, allowing for a highly personalized approach to maintenance alerts. This level of customization ensures that technicians are informed of maintenance needs without unnecessary prompts, promoting proactive vehicle care and reducing downtime.
Acceptance Criteria: User defines a mileage threshold trigger for maintenance alerts in the FleetWise platform, specifying that notifications should be sent when the vehicle reaches 10,000 miles since the last service.

Given a user sets a mileage threshold of 10,000 miles, when the vehicle's odometer reads 10,000 miles, then the user receives a maintenance alert notification.

A Fleet Operations Manager customizes oil level alerts to trigger when the oil level drops below 25%.

Given a user configures an oil level alert for 25%, when the oil level sensor reports oil levels at 24%, then the system generates an immediate alert for the user.

Technicians want to create performance metric alerts based on diagnostic data readings, alerting them when a vehicle's performance drops below the acceptable threshold.

Given a user sets a performance threshold for engine diagnostics, when the diagnostic reading falls below the defined threshold, then a notification is triggered to alert the maintenance team.

Multiple users collaborate to set various parameter-specific alerts for different vehicle types in the FleetWise system to ensure tailored notifications for different classes of vehicles.

Given multiple users have access to vehicle settings, when each user sets a unique alert based on their vehicle type, then the system successfully saves each alert configuration without conflicts.

A user modifies an existing alert configuration for tire pressure, increasing the trigger point from 30 PSI to 32 PSI, and expects to have this change reflected in the system immediately.

Given a user updates the tire pressure alert to 32 PSI, when the change is saved, then the alert configuration is successfully updated and correctly triggers when pressure reaches 32 PSI.

The system should provide a feedback mechanism allowing users to report issues or improvements related to parameter-specific alerts, ensuring continuous optimization of the feature.

Given a user accesses the feedback form for alert customization, when they submit feedback, then the system acknowledges the submission and updates the feedback log.

Users test the cancellation of an alert to ensure it no longer triggers notifications when the specified condition is met.

Given a user cancels an existing alert, when the relevant condition (e.g., mileage) is met post-cancellation, then no alert notification is triggered for that condition.

Customizable Alert Channels

User Story: As a Fleet Operations Manager, I want to customize how I receive maintenance alerts so that I can ensure important notifications reach me through my preferred communication channel and I can respond promptly.
Description: This requirement allows users to choose how they receive maintenance notifications by providing options for various alert channels such as email, SMS, or in-app notifications. Customizable alert channels provide flexibility and help ensure that vital maintenance information reaches the right personnel in a timely manner, enhancing responsiveness and facilitating smoother communication across teams.
Acceptance Criteria: Fleet Operations Manager configures alert settings for maintenance notifications in the FleetWise platform.

Given the Fleet Operations Manager is logged into FleetWise, when they navigate to the 'Alert Customization' section and select their preferred alert channels (email, SMS, in-app), then the selected channels should be saved without error and displayed correctly on the settings page.

A Vehicle Maintenance Technician receives a maintenance alert for a high-severity issue through the selected channels.

Given the Vehicle Maintenance Technician has customized their alert settings to receive SMS notifications, when a high-severity maintenance issue arises for one of the vehicles in the fleet, then an SMS notification should be sent and received in under 2 minutes.

A user wants to change their configured alert preferences for receiving notifications.

Given a user is in the 'Alert Customization' section, when they change their alert preferences from SMS to email and save the changes, then the system should confirm the changes and send an email notification to the user as a test of the new alert channel.

Fleet Operations Manager assesses the effectiveness of the alert configuration by reviewing past notifications received.

Given the Fleet Operations Manager selects the 'Notification History' option, when they access the list of notifications sent in the last month, then the system should display a comprehensive list of received alerts filtered by the chosen channels as previously configured.

A Vehicle Maintenance Technician fails to receive an alert due to incorrect alert configuration.

Given that the Vehicle Maintenance Technician had previously set their alert channel to an incorrect format (e.g. invalid phone number for SMS), when a maintenance alert is triggered, then the system should send a warning message on the settings page to notify the user of the invalid configuration before the alert is triggered.

A user tests different alert channels to find the most effective method of receiving notifications.

Given the user has access to both SMS and email alert options, when they select both channels for a test alert, then upon triggering the alert, the user should receive notifications within 3 minutes on both channels, ensuring they are informed through their preferred methods.

Alert History Tracking

User Story: As a Vehicle Maintenance Technician, I want to review the history of maintenance alerts so that I can analyze past notifications and improve our maintenance strategies based on previous experiences.
Description: This requirement facilitates tracking and viewing past alerts related to predictive maintenance notifications. Users can access a log of previous alerts, their status, and actions taken in response to them. This feature enhances accountability and facilitates better historical analysis for maintenance trends and decision-making, helping teams learn from past issues and improve future operations.
Acceptance Criteria: Accessing the alert history log for predictive maintenance notifications.

Given that the user is logged into the FleetWise platform, when they navigate to the 'Alert History' section, then they should see a chronological list of past alerts with the following details: alert date, severity, vehicle type, status, and actions taken.

Filtering the alert history based on alert severity.

Given that the user is on the 'Alert History' page, when they select a severity filter (e.g., Critical, Warning, Info), then the alert history should display only those alerts that match the selected severity level.

Exporting the alert history for external analysis.

Given that the user is viewing the 'Alert History' table, when they click on the 'Export' button, then they should receive a downloadable CSV file containing all displayed alert history records.

Searching the alert history by vehicle type.

Given that the user is on the 'Alert History' page, when they enter a vehicle type in the search bar, then the alert history should show alerts related to that specific vehicle type only.

Viewing alert details by clicking on individual alerts.

Given that the user is on the 'Alert History' page, when they click on any alert entry, then a detailed modal should appear showing the full alert information including timestamp, severity, vehicle details, and action history.

Displaying a total count of alerts in the alert history.

Given that the user is on the 'Alert History' page, then the total count of alerts displayed at the top of the page should match the number of records shown in the alert history table.

Role-Based Alert Access Control

User Story: As a Fleet Operations Manager, I want to control who can access and manage maintenance alerts so that I can ensure sensitive information is only available to authorized team members.
Description: This requirement introduces role-based access control for viewing and managing maintenance alerts. Different user roles can be assigned varying levels of access to critical maintenance information, ensuring that sensitive data is only accessible to authorized personnel. This feature enhances security and ensures compliance with an organization’s operational policies regarding maintenance information.
Acceptance Criteria: Viewing Maintenance Alerts Based on User Role

Given a Fleet Operations Manager logged into FleetWise, when they navigate to the Maintenance Alerts section, then they should see all active alerts related to their vehicles without restrictions.

Managing Maintenance Alerts with Restricted Access

Given a Vehicle Maintenance Technician logged into FleetWise, when they attempt to view alerts assigned to Fleet Operations Managers, then they should receive an access denial message indicating insufficient permissions.

Customizing Alert Severity Levels for Different Roles

Given a user with Admin role in FleetWise, when they customize alert settings to add a new severity level, then all users with access to alerts should receive notifications with the new severity level correctly applied based on their roles.

Audit Log for Role-Based Access Changes

Given an Admin user has modified role permissions for maintenance alerts, when an Admin views the audit log, then the change should be recorded with details including the previous and new permissions, the user making the changes, and a timestamp.

Testing Access Control during System Load

Given multiple users with different roles accessing the system simultaneously, when they request to view maintenance alerts, then role-based access should function without delays or failures, ensuring compliance with access rules at all times.

User-Specific Alert Customization Persistence

Given a user with custom alert settings, when they log out and log back into FleetWise, then their customized settings should persist and display the alerts according to their specifications at first access.

Integrated Spare Parts Inventory

Integrated Spare Parts Inventory links predictive maintenance alerts with real-time inventory levels of spare parts needed for repairs. By ensuring that necessary parts are readily available before maintenance is scheduled, this feature reduces vehicle downtime and enhances repair efficiency. This seamless integration enhances operational readiness and drives cost-effectiveness in maintenance operations.

Requirements

Real-time Inventory Synchronization

User Story: As a fleet manager, I want the inventory levels of spare parts to update automatically in real-time so that I can ensure essential parts are available when needed and minimize vehicle downtime during maintenance work.
Description: The Real-time Inventory Synchronization requirement involves developing a system that continuously monitors and updates the inventory levels of spare parts within the FleetWise platform. This feature will use APIs to connect with inventory management systems, allowing for automated adjustments based on parts usage and vendor stock levels. By ensuring that data is up-to-date at all times, this requirement significantly enhances the efficiency of the spare parts inventory, reducing delays in repairs and ensuring that maintenance operations can proceed without unnecessary holdups. The expected outcome is a reduction in vehicle downtime and an increase in the speed of maintenance operations, ultimately contributing to improved fleet performance and cost savings.
Acceptance Criteria: Real-time Inventory Update Triggered by Maintenance Alert.

Given a predictive maintenance alert for a vehicle, when the alert is triggered, then the system must automatically update the spare parts inventory levels to reflect the required parts needed for the maintenance.

API Connection with Inventory Management Systems.

Given the integration with external inventory management systems, when the parts usage data is received, then the system must accurately reflect the changes in the spare parts inventory levels within 5 minutes of receiving the data.

Inventory Level Notifications for Maintenance Planning.

Given that inventory levels of required spare parts fall below a predefined threshold, when this occurs, then the system must notify the maintenance manager via email and in-app alerts to ensure timely ordering of parts.

Inventory Accuracy Verification through Manual Audit.

Given the automated system for updating spare parts inventory, when a manual audit is performed, then at least 95% of the inventory levels must match the amounts reported by the system within a 24-hour window.

Impact Assessment on Vehicle Downtime Reduction.

Given the implementation of real-time inventory synchronization, when comparing average vehicle downtime before and after implementation, then there must be at least a 20% reduction in vehicle downtime within the first three months.

Reporting on Inventory Turnover Rate.

Given the real-time synchronization of inventory, when generating reports, then the inventory turnover rate must be calculated and reported correctly, reflecting the usage and replenishment of spare parts over a defined period of time.

User Access Control for Inventory Management.

Given the various user roles within the FleetWise platform, when a user attempts to access the inventory management features, then the system must enforce role-based access control, allowing only authorized personnel to view or edit inventory levels.

Predictive Maintenance Alert Integration

User Story: As a technician, I want to receive alerts about which spare parts I’ll need for upcoming maintenance tasks so that I can prepare in advance and complete repairs more efficiently.
Description: This requirement focuses on creating a seamless integration system between the predictive maintenance alerts generated by the FleetWise platform and the integrated spare parts inventory. The goal is to automatically trigger alerts when specific spare parts are forecasted to be needed based on maintenance predictions. This proactive linking ensures that parts are ordered or available for technicians before maintenance is required, preventing delays and improving overall efficiency. The success of this feature will enhance operational readiness and contribute to reduced maintenance costs and improved turnaround times for vehicle repairs.
Acceptance Criteria: Seamless Triggering of Spare Parts Order on Predictive Maintenance Alert

Given that a predictive maintenance alert for a vehicle is generated, when the alert indicates specific spare parts are required, then an order for those spare parts should be automatically triggered in the inventory system without manual intervention.

Real-Time Inventory Level Update Upon Spare Parts Order

Given that an order for spare parts is generated, when the order is placed, then the real-time inventory levels should be updated immediately to reflect the ordered parts and their expected delivery dates.

Notification of Spare Parts Availability to Technicians

Given that spare parts have been ordered and are available in the inventory, when the parts are received, then the system should notify the relevant technicians of the availability of parts for upcoming scheduled maintenance activities.

Integration Validation with Predictive Maintenance Data

Given a set of predictive maintenance alerts, when these are analyzed in conjunction with inventory levels, then the system should accurately match the required parts with available inventory without discrepancies.

Reporting on Parts Utilization and Downtime Reduction

Given a completed maintenance operation that utilized ordered spare parts, when a report is generated, then it should demonstrate a reduction in vehicle downtime as a direct result of the integrated spare parts inventory system.

User Interface for Manual Adjustments to Spare Parts Orders

Given an instance where a technician needs to manually adjust an parts order, when they access the user interface, then they should be able to view, modify, and confirm the order in real-time efficiently through the system.

Performance Metrics for Predictive Maintenance Accuracy

Given the predictive maintenance alerts generated over a specified time frame, when analyzing the accuracy of alerts in correlating with actual repairs, then the metrics should reflect an accuracy rate of at least 90% for parts ordering.

User-friendly Inventory Dashboard

User Story: As a fleet operator, I want an intuitive dashboard that displays the current status of spare parts inventory so I can manage what to order and ensure we have everything necessary for maintenance without excess.
Description: The User-friendly Inventory Dashboard requirement entails designing a dedicated interface within the FleetWise platform to provide users with easy access to spare parts inventory levels, usage patterns, and predictive analytics. This dashboard will visualize inventory data, showing current stock levels, minimum reorder points, and alerts for low-stock items. By presenting this information clearly and intuitively, fleets can better manage their inventory, make informed purchasing decisions, and avoid shortages that could disrupt operations. Additionally, it will enhance decision-making capabilities regarding which parts should be prioritized for procurement based on maintenance schedules and trends.
Acceptance Criteria: Viewing Current Inventory Levels and Alerts in the Dashboard

Given the user is logged into FleetWise, when they navigate to the User-friendly Inventory Dashboard, then they should see a clear visual representation of current inventory levels and any alerts for low-stock items displayed prominently.

Accessing Predictive Analytics for Spare Parts

Given the user is on the User-friendly Inventory Dashboard, when they request predictive analytics, then the system should display forecasts for spare parts usage based on historical data and maintenance schedules within 3 seconds.

Setting Minimum Reorder Points for Spare Parts

Given the user is managing spare parts in the User-friendly Inventory Dashboard, when they set minimum reorder points for specific items, then those settings should be saved and reflected in future inventory alerts accurately.

Generating Reports on Usage Patterns

Given the user is on the User-friendly Inventory Dashboard, when they select the option to generate a report on usage patterns, then the system should create and display a comprehensive report that includes the last six months of inventory usage data.

Integrating Dashboard with Maintenance Schedules

Given the user is accessing the User-friendly Inventory Dashboard, when they view the maintenance schedule integrated with the inventory data, then the dashboard should highlight parts needed for upcoming maintenance tasks.

Utilizing Mobile Access to the Inventory Dashboard

Given the user is logged into FleetWise via a mobile device, when they access the User-friendly Inventory Dashboard, then all inventory information must be fully accessible and visually optimized for mobile screen sizes.

Vendor Management Integration

User Story: As a procurement officer, I want to automate our orders for spare parts directly from the system so that we can receive the needed items faster and avoid any breakdown or repair delays.
Description: This requirement involves integrating the FleetWise platform with vendor management systems to streamline the procurement of spare parts as they are needed. By creating a direct link to suppliers, users can automatically generate purchase orders for parts based on real-time inventory levels and predictive maintenance alerts. This integration will help maintain optimal inventory levels, ensure timely receipt of parts, and improve communication with suppliers. The expected outcome is a more efficient supply chain, fewer delays in obtaining necessary parts, and enhanced overall operational efficiency in the fleet maintenance process.
Acceptance Criteria: Automatic Order Generation for Spare Parts

Given the system has been integrated with vendor management, when a predictive maintenance alert triggers and the inventory level falls below a predefined threshold, then a purchase order should be automatically generated and sent to the supplier.

Real-time Inventory Sync with Vendor Management

Given the inventory levels are updated in real-time, when a spare part is used or received, then the inventory count must reflect these changes accurately within five minutes.

Supplier Communication for Order Confirmation

Given that a purchase order has been generated, when the supplier receives the order, then an order confirmation should be returned to FleetWise within two hours, ensuring transparency in the procurement process.

Inventory Level Alerts for Low Stock

Given the real-time inventory management system, when the stock level for a critical spare part falls below the minimum threshold, then an alert should be sent to the fleet manager and procurement team immediately.

Audit Trail for Purchase Orders

Given that purchase orders are generated automatically, when an order is placed, then there should be a complete and accessible audit trail of each order, including timestamps, quantities, and supplier details.

Integration Testing with Vendor Systems

Given the requirement for vendor integration, when the system undergoes integration testing, then all interfaces should function correctly, and no errors should occur during the generation and retrieval of purchase orders.

Performance Metrics for Procurement Efficiency

Given that the vendor management integration is in place, when analyzing procurement operations, then there must be a measurable reduction in lead times for spare parts and an increase in order fulfillment rates by at least 20% within the first three months of implementation.

Inventory Usage Analytics

User Story: As a fleet manager, I want to analyze parts usage trends so that I can optimize our inventory purchasing and reduce unnecessary costs associated with overstocking.
Description: The Inventory Usage Analytics requirement aims to provide analytics and reporting capabilities on spare parts usage within the FleetWise platform. This feature will analyze historical data on parts consumption, helping fleet managers identify trends, peak usage times, and potential forecasting for future needs. By understanding usage patterns, managers can optimize inventory purchasing strategies, reduce excess stock, and save costs on wasted resources. This analytical capability will support data-driven decision-making and enhance the strategic planning of fleet maintenance and parts procurement.
Acceptance Criteria: As a fleet manager, I want to access a summary dashboard of spare parts usage analytics to quickly identify which parts are frequently consumed across different vehicle models.

Given I am a logged-in fleet manager, when I access the Inventory Usage Analytics dashboard, then I can see a graphical representation of spare parts usage across all vehicles with filters for specific time periods and vehicle models.

As a fleet manager, I want the system to provide historical analysis of spare parts consumption over the past year to help with future procurement planning.

Given I request the historical analytics report for the past year, when the report is generated, then it includes accurate data on the total consumption, peak usage months, and trends for each spare part.

As a fleet manager, I want to receive alerts for spare parts that have low stock levels based on the historical usage data to prevent any potential delays in repairs.

Given I set minimum stock level thresholds for essential spare parts, when the inventory drops below these levels, then I receive an automated alert through the FleetWise platform and email notification that informs me which parts need reordering.

As a fleet manager, I want to drill down into specific parts usage trends for each vehicle model to optimize future ordering decisions.

Given I select a specific vehicle model from the analytics dashboard, when I access the detailed usage report, then I can see the consumption trend for each part associated with that model, including graphs and usage frequency statistics.

As a fleet manager, I want the ability to export the usage analytics reports into Excel or PDF formats for offline review and sharing.

Given I have generated the analytics report, when I choose to export the report, then it is successfully saved in Excel or PDF format with all relevant data clearly presented and no data loss in the export process.

As a fleet manager, I want to immediately calculate cost savings achieved through optimized inventory purchasing strategies based on usage analytics generated by the system.

Given I access the cost savings section of the Inventory Usage Analytics dashboard, when I input the costs of parts and compare them to historical usage, then the system calculates and displays potential savings with a detailed breakdown of savings by part and potential impact on operational costs.

Mobile Access to Inventory Management

User Story: As a technician on the road, I want to access spare parts inventory data from my mobile device so that I can manage and order parts quickly no matter where I am.
Description: The Mobile Access to Inventory Management requirement will develop a mobile-compatible version of the inventory management feature, allowing fleet managers and technicians to access spare parts information on-the-go. This mobile functionality will enable users to check inventory levels, receive maintenance alerts, and manage orders from their smartphones or tablets. By providing mobile access, users can ensure they have the information they need at their fingertips, enhancing responsiveness and flexibility in inventory management, ultimately leading to more efficient fleet operations.
Acceptance Criteria: Fleet managers and technicians use the mobile app to check spare parts inventory levels before scheduling maintenance for a vehicle.

Given the user is logged into the mobile app, when they navigate to the inventory section and select a specific part, then the current stock level of that part should be displayed in real-time.

Users receive notifications on their mobile devices when maintenance alerts are triggered based on predictive analytics.

Given the user has enabled notifications for maintenance alerts, when a predictive maintenance alert is generated, then the user should receive a push notification on their mobile device with details of the alert.

Fleet managers need to order spare parts directly from the mobile application after reviewing inventory levels.

Given the user is viewing an inventory item with low stock, when they select the option to order the item, then the order should be successfully placed, and a confirmation message should be displayed to the user.

Technicians are using the mobile app to manage orders for spare parts while on-site during a vehicle repair.

Given the technician is on the order management page, when they view the list of current orders, then they should see the status of each order (pending, completed, or cancelled) for clarity.

Fleet managers conduct a monthly review of spare parts usage through the mobile app.

Given the user selects the usage report feature in the app, when they input the desired date range, then a report should be generated displaying the parts used and their respective quantities during that period.

A technician wants to ensure a part required for a repair job is in stock before arriving at the repair location.

Given the technician accesses the mobile application, when they search for the required part by name, then the application should show availability status, including locations where the part is currently held.

Users need to access an FAQ section for troubleshooting common issues within the mobile app.

Given the user is on the main dashboard, when they click on the help or FAQ section, then they should be presented with a list of common issues and resolutions clearly laid out for easy access.

Feedback and Improvement Loop

The Feedback and Improvement Loop leverages user feedback and vehicle performance outcomes to enhance the predictive maintenance algorithms continuously. By learning from real-world applications and outcomes, this feature progressively refines accuracy in predicting maintenance needs over time, ensuring that alerts remain relevant and effective, ultimately leading to improved fleet management.

Requirements

User Feedback Collection

User Story: As a fleet manager, I want to provide feedback on the predictive maintenance alerts so that the system can adapt and improve its recommendations based on real-world performance.
Description: Implement a robust system for users to provide feedback on predictive maintenance alerts and vehicle performance. This feature should enable fleet managers and drivers to easily submit their observations regarding maintenance needs, alert accuracy, and overall satisfaction with the system's recommendations. This capability is crucial for continuously improving data accuracy and refining the predictive algorithms based on real-world usage, ensuring that the system evolves with user experiences and changing fleet conditions, ultimately leading to increased user satisfaction and operational efficiency.
Acceptance Criteria: As a fleet manager, I want to be able to submit feedback on the predictive maintenance alerts received for each vehicle after monitoring their accuracy over several weeks of operations.

Given that I have received at least three predictive maintenance alerts for a vehicle, when I submit feedback regarding their accuracy, then my feedback should be saved in the system and linked to the vehicle’s profile.

As a driver, I need to report my observations on a vehicle's performance after implementing maintenance recommendations to help improve the predictive maintenance algorithms.

Given that I have completed the recommended maintenance on my vehicle, when I submit feedback including the outcome of the maintenance, then it should be acknowledged and logged in the system for future reference.

As an admin, I want to review aggregated user feedback on predictive maintenance alerts to identify areas for improvement in the algorithm.

Given that multiple users have submitted feedback, when I access the centralized feedback dashboard, then I should be able to see analytics on user satisfaction, alert accuracy, and suggested improvements.

As a fleet manager, I want to receive confirmation after feedback submission to ensure that my input was recorded successfully.

Given that I have submitted my feedback, when the submission is complete, then I should receive a confirmation message acknowledging my feedback and indicating it will be reviewed.

As a stakeholder, I want to assess the impact of user feedback on improving predictive maintenance accuracy over time.

Given that feedback has been collected for at least one month, when I review the performance metrics, then I should see a measurable improvement in alert accuracy as a result of feedback incorporation.

As a fleet manager, I want to ensure that the feedback submission process is user-friendly and intuitive for all users.

Given the feedback submission interface, when users interact with the feature, then 90% of users should complete the feedback form without external help after the first use.

Performance Outcome Tracking

User Story: As a data analyst, I want to track the effectiveness of maintenance alerts to ensure that our predictive maintenance algorithms are providing accurate recommendations for our fleet.
Description: Develop a mechanism to track and analyze vehicle performance outcomes following maintenance alerts. This requirement involves integrating telemetry data to assess whether the prescribed maintenance actions were effective and to correlate them with user feedback. By consistently monitoring these outcomes, the system can validate the effectiveness of its predictive maintenance algorithms and identify areas for improvement, leading to more accurate future alerts and enhanced decision-making for fleet managers.
Acceptance Criteria: Tracking and Analyzing Vehicle Performance Outcomes Post-Maintenance Alerts

Given a maintenance alert triggered by the predictive maintenance algorithm, When the prescribed maintenance actions are completed, Then telemetry data is recorded and analyzed to assess vehicle performance improvement within one week after maintenance.

Correlating User Feedback with Vehicle Performance Data

Given that a maintenance alert has been addressed, When users provide feedback on the maintenance effectiveness, Then the system should correlate this feedback with telemetry performance data within 24 hours and update the improvement algorithms accordingly.

Continuous Improvement of Predictive Maintenance Algorithms

Given a dataset consisting of previous maintenance alerts and performance outcomes, When new maintenance data is collected over a quarter, Then the predictive maintenance algorithms should be refined to improve alert accuracy by at least 10% as verified by subsequent telemetry results.

Generating Reports on Performance Outcomes

Given the maintenance alerts and resulting vehicle performance outcomes, When a fleet manager requests a report, Then the system must generate a comprehensive report detailing performance metrics and feedback correlation within 48 hours.

User Interface Updates for Performance Outcome Visibility

Given the need for visibility into vehicle performance outcomes following maintenance, When a fleet manager accesses the dashboard, Then performance outcome metrics must be displayed prominently, allowing filter options for specific vehicles and timeframes.

Automated Alert System Adjustment Based on Performance Tracking

Given monitored vehicle performance outcomes, When performance falls below a predefined threshold after maintenance, Then the system must automatically adjust the predictive maintenance algorithm to trigger alerts sooner for that specific vehicle category.

User Training and Adaptation for Feedback Mechanism

Given the new feedback and improvement loop feature, When fleet managers and drivers complete the training module, Then a minimum 75% user satisfaction score must be achieved in post-training surveys regarding the setup and use of the feedback mechanism.

Predictive Algorithm Refinement

User Story: As a software engineer, I want to refine our predictive maintenance algorithms using feedback and performance data so that we can provide more accurate and timely maintenance alerts to our users.
Description: Establish a process for continuously refining the predictive maintenance algorithms based on user feedback and vehicle performance data. This requirement entails deploying machine learning techniques that can analyze patterns from the collected data and improve the algorithm's accuracy over time. By leveraging historical feedback and performance metrics, the system will enhance its ability to predict maintenance needs, thereby reducing false alerts and ensuring timely interventions, which will ultimately lead to lower operational costs and improved vehicle uptime.
Acceptance Criteria: User submits maintenance feedback after a vehicle service event, which gets logged and analyzed by the system.

Given a user submits maintenance feedback, when the feedback is received, then the system logs it and analyzes it for patterns related to maintenance alerts.

The predictive maintenance algorithm is triggered based on performance data input from a fleet vehicle.

Given performance data is collected from a vehicle, when the predictive algorithm analyzes this data, then it must accurately predict the maintenance needs within a 95% accuracy rate.

User reviews the predictive maintenance alerts generated by the system over the past month.

Given a user accesses the predictive maintenance alerts dashboard, when they review the last month’s alerts, then at least 90% of the alerts should correspond to actual maintenance events.

System processes historical user feedback to refine the predictive maintenance algorithm.

Given the historical feedback data is processed, when the algorithm is updated, then it should reduce false alerts by at least 30% for the next quarter.

An admin reviews the impact of the predictive maintenance algorithm improvements on operational costs.

Given the updated predictive maintenance algorithm has been in effect for a quarter, when the admin reviews the operational costs, then there should be a documented reduction in costs by at least 10% compared to the previous quarter.

Fleet managers receive real-time notifications based on refined maintenance predictions.

Given a refined predictive maintenance algorithm, when real-time notifications are issued, then at least 85% of the notifications sent should lead to timely interventions.

Real-time Feedback Dashboard

User Story: As a fleet manager, I want to see a dashboard of feedback and performance metrics so that I can quickly assess the effectiveness of our predictive maintenance system and make data-driven decisions.
Description: Create a user-friendly dashboard for fleet managers to visualize feedback trends and vehicle performance outcomes. This dashboard should display metrics such as average response times to alerts, user satisfaction ratings, and a history of maintenance actions taken versus predicted maintenance needs. By offering insights into how well the predictive maintenance system is performing, this feature will empower fleet managers to make informed operational decisions and improve fleet management practices.
Acceptance Criteria: Dashboard loads with real-time data analytics during peak usage hours.

Given the FleetWise software is running during peak hours, when the dashboard is accessed by a fleet manager, then the dashboard should display accurate and updated metrics within 2 seconds of access.

User satisfaction ratings are clearly displayed on the dashboard.

Given that user feedback has been collected, when the fleet manager reviews the screenshots of the dashboard, then they should see an average user satisfaction rating prominently displayed and updated regularly based on recent feedback.

The history of maintenance actions taken is logged and displayed correctly.

Given that maintenance actions have been recorded, when the fleet manager views the maintenance history section, then it should reflect all actions taken along with corresponding predicted needs with clear timestamps.

Response times to alerts are monitored and displayed effectively.

Given that an alert was triggered, when the fleet manager views the response time metrics, then the dashboard should show the average response time to alerts with data covering at least the past month.

The predictive maintenance algorithm performance is compared over time.

Given that vehicle performance data has been accumulated, when the fleet manager accesses the analytics section, then they should be able to visualize trends indicating the improvement or decline of the predictive maintenance effectiveness over at least the past quarter.

Feedback trends are visualized for ease of understanding by fleet managers.

Given that user feedback has been collected, when the fleet manager views the feedback trends dashboard, then it should visually display the trends using graphs or charts that are easy to interpret.

Alerts remain relevant and effective based on past performance.

Given past predictive maintenance alerts, when the fleet manager reviews the alerts section, then they should see a statistical representation indicating the relevancy of past alerts, achieving at least a 70% accuracy over the lifespan of the feature.

Adaptive Alert System

User Story: As a driver, I want personalized maintenance alerts based on my vehicle’s actual performance so that I can take action timely and effectively, ensuring vehicle readiness and safety.
Description: Develop an adaptive alert system that adjusts maintenance notifications based on user feedback and performance data. This system should utilize machine learning to learn from feedback and outcomes over time, allowing it to tailor alerts to specific vehicles and operational contexts. By personalizing notifications, the alert system can improve relevance and timing, ultimately enhancing the efficiency of fleet maintenance operations and user response rates.
Acceptance Criteria: User initiates the adaptive alert system for a vehicle in the fleet, providing feedback on previous maintenance alerts received in the past month.

Given a user inputs feedback on received maintenance alerts, when the feedback is submitted, then the adaptive alert system should update the alert settings for that vehicle based on user input and past performance data within 10 minutes.

A fleet manager wants to assess how well the adaptive alert system is functioning after implementation, focusing on the relevance of the alerts received over a month.

Given a fleet manager reviews the maintenance alerts over the past month, when comparing user feedback versus alerts sent, then at least 80% of the alerts should be rated as 'relevant' by users based on a post-alert satisfaction survey.

A driver receives a maintenance alert for their assigned vehicle indicating the need for immediate attention based on newly learned algorithms from user feedback.

Given a driver is notified of a maintenance need, when the vehicle's performance data and user feedback indicate a failure risk, then the notification should be sent within 5 minutes of the system learning from recent data adjustments for that vehicle.

The adaptive alert system is set to learn from new feedback received after a maintenance issue was resolved by the team.

Given maintenance feedback is logged after each alert, when performing a system backtest of alerts sent over the previous 30 days, then the system should demonstrate a 20% increase in accurate predictive alerts based on collected feedback compared to the prior 30-day period without feedback integration.

A technician reviews historical alert data to identify patterns in maintenance alerts across multiple vehicles to enhance the system's predictive capabilities.

Given that historical feedback data is available, when the technician runs a report on alert patterns, then the report should highlight at least 3 significant trends or insights that could improve algorithm accuracy by at least 15% for future alerts.

A user searches for documentation on how to provide feedback within the adaptive alert system to ensure proper use of the feature.

Given that a user seeks guidance, when accessing the feedback documentation, then the documentation should be clear, concise, and cover all aspects required for giving effective feedback, with at least a 90% user satisfaction rate from feedback on the documentation quality.

The adaptive alert system updates its model using reinforcement learning techniques based on continuous user feedback.

Given the adaptive alert system is continuously learning, when new user feedback is received weekly, then the system should demonstrate an ability to adapt the predictive model, showing a performance improvement of at least 25% in alert accuracy over the course of a quarter.

Mobile Maintenance Notifications

Mobile Maintenance Notifications provide on-the-go alerts to Vehicle Maintenance Technicians through a mobile application, ensuring they receive critical maintenance updates in real-time, regardless of their location. This feature enhances communication and efficiency, allowing technicians to address issues promptly, further reducing the likelihood of vehicle failures on the road.

Requirements

Real-Time Alert System

User Story: As a Vehicle Maintenance Technician, I want to receive real-time maintenance alerts on my mobile device so that I can address vehicle issues promptly and reduce the likelihood of breakdowns.
Description: The Real-Time Alert System requirement involves creating a robust notification framework that allows Vehicle Maintenance Technicians to receive immediate alerts on their mobile devices when maintenance issues are detected. The system should prioritize critical alerts, ensuring that technicians are promptly informed of vehicle statuses, upcoming maintenance due dates, and potential failures. This functionality will enhance overall fleet management efficiency by facilitating quicker response times to maintenance needs, thereby reducing downtime and operational costs. The alert system must be integrated with existing predictive maintenance analytics to enrich the notifications with relevant data and recommendations, ensuring technicians have the necessary information to address issues effectively and maintain vehicle reliability.
Acceptance Criteria: Vehicle Maintenance Technician receives a critical maintenance alert for a vehicle due to a detected issue while they are on the road.

Given the technician is using the mobile app, when a critical maintenance issue is detected, then an immediate push notification should be sent to the technician's device with details of the issue and recommended actions.

A Vehicle Maintenance Technician is notified of an upcoming scheduled maintenance for a vehicle one week in advance.

Given the technician has access to the mobile app, when the scheduled maintenance date approaches, then the technician should receive a reminder notification on their mobile device detailing the date and time of the maintenance.

The consolidated platform displays alerts based on vehicle status in real-time to a Vehicle Maintenance Technician.

Given the technician is logged into the mobile application, when a vehicle status changes (e.g., critical issue, maintenance due), then the alert dashboard should reflect these changes instantly and provide context for each alert.

A maintenance technician acknowledges an alert received from the mobile application.

Given the technician receives a maintenance alert, when the technician taps the acknowledge button, then the alert status should change to acknowledged in the system and log the timestamp of the acknowledgment.

Vehicle Maintenance Technician receives alerts on their mobile device while in an area with poor network connectivity.

Given the technician is in an area with limited connectivity, when a critical alert is generated, then the alert should be queued and delivered as soon as the connection is re-established, with no data loss.

The Real-Time Alert System sends predictive maintenance analytics data along with alerts to enhance technician decision-making.

Given an alert is generated for a maintenance issue, when the alert is sent to the technician’s mobile device, then the alert must include specific predictive analytics data relevant to the issue, improving the technician’s situational awareness.

A Vehicle Maintenance Technician can customize their notification preferences via the mobile application settings.

Given the technician navigates to notification settings, when they select their preferences for alert types and frequencies, then those settings should be saved and reflected in the notifications received by the technician.

User-Friendly Mobile Application

User Story: As a Vehicle Maintenance Technician, I want a mobile app that is easy to navigate so that I can quickly access maintenance alerts and vehicle information while I'm on the road.
Description: Developing a User-Friendly Mobile Application is essential to ensure that Vehicle Maintenance Technicians can effortlessly access maintenance notifications and relevant vehicle data on-the-go. The app must feature an intuitive design that allows technicians to quickly navigate between alerts, maintenance histories, and predictive analytics. It should also support offline functionality so that technicians can continue to access critical information even in areas with poor connectivity. This requirement is crucial for enhancing user engagement and efficiency, as it allows technicians to spend less time searching for information and more time performing maintenance tasks in a timely manner.
Acceptance Criteria: User accesses the mobile application to check the latest maintenance notifications while on a service call at a remote location.

Given a Vehicle Maintenance Technician is logged into the mobile application, when they open the app, then they should see the latest maintenance notifications in a user-friendly format that is responsive and quick to load.

User navigates to view past maintenance history while offline after losing internet connectivity during a service call.

Given the mobile application allows offline access, when the technician is offline and selects the 'Maintenance History' section, then they should be able to view previously downloaded maintenance records without connectivity.

User receives an alert about a critical maintenance issue for a specific vehicle.

Given the technician has notifications enabled, when a new critical maintenance notification is generated for a vehicle they are assigned to, then they should receive a push notification on their mobile app within 2 minutes of the alert being created.

User filters maintenance notifications based on urgency level to prioritize tasks.

Given the technician is viewing their maintenance notifications, when they apply a filter for 'High Urgency', then only notifications categorized as high urgency should be displayed in the notification list.

User shares a maintenance alert with a colleague through the mobile application.

Given the technician receives a maintenance alert, when they select the 'Share' option and send it to a colleague, then the colleague should receive a notification in their application with the relevant details of the maintenance alert shared.

User completes a maintenance task and logs it into the mobile application.

Given a technician has completed a maintenance task, when they log the completion in the app and submit it, then the logged task should be reflected in the maintenance history and confirmed with a success message.

Integration with FleetWise Dashboard

User Story: As a Fleet Manager, I want to see real-time maintenance notifications on the FleetWise dashboard so that I can monitor vehicle health and technician responsiveness efficiently.
Description: This requirement focuses on integrating the Mobile Maintenance Notifications feature seamlessly with the existing FleetWise dashboard. The integration should allow managers and fleet operators to view all maintenance alerts and technician responses in real-time on their centralized dashboard alongside analytics for performance tracking. Such integration will enhance communication between technicians and management, ensuring that high-level oversight of fleet health is maintained. It should also enable automated reporting of maintenance issues, thereby streamlining workflows and supporting data-driven decision-making for fleet operations.
Acceptance Criteria: Integration of Mobile Maintenance Notifications with FleetWise Dashboard allows managers to view live updates of maintenance alerts as technicians respond to them during their shifts.

Given a technician receives a maintenance alert on the mobile app, when they respond to the alert, then the FleetWise dashboard should display the technician's response in real-time with a timestamp and status update.

Managers require a consolidated view of all maintenance alerts on the FleetWise dashboard to monitor fleet health effectively and make timely decisions.

Given multiple maintenance alerts are generated, when a manager accesses the FleetWise dashboard, then all active maintenance alerts should be displayed with details including vehicle ID, issue type, and technician response status.

Technicians need to receive notifications of new maintenance tasks on their mobile devices to act promptly and prevent vehicle failures.

Given a new maintenance task is assigned to a technician, when the task is created in the system, then the technician should receive a push notification on their mobile device with the task details.

Management aims to track the performance and response times of maintenance tasks across the fleet for reporting and analysis.

Given that maintenance notifications are integrated into the FleetWise dashboard, when a report is generated, then the report should include metrics such as average response time, number of tasks completed, and outstanding maintenance issues.

Fleet managers need to ensure that communication between technicians and management is seamless and documented within the dashboard for future references.

Given a technician communicates an update on a maintenance task via the mobile app, when the update is submitted, then the FleetWise dashboard should log this communication and display it in the task history with time and date.

FleetWise aims to streamline maintenance workflows by automating the reporting of issues encountered during maintenance activities.

Given that a technician completes a maintenance task and closes the alert on the mobile app, when the alert is closed, then an automated report should be generated and saved in the FleetWise system detailing the task outcome and any issues encountered.

Management needs to assess the overall efficiency of the maintenance process with insights drawn from the integrated dashboard.

Given that the integration with the FleetWise dashboard is live, when management reviews the dashboard, then they should have access to analytics showing trends in maintenance needs, response efficiency, and historical data on vehicle issues.

Customizable Notification Settings

User Story: As a Vehicle Maintenance Technician, I want to customize my notification settings so that I only receive alerts that are relevant to my current tasks, ensuring I stay focused on critical maintenance work.
Description: The Customizable Notification Settings requirement allows Vehicle Maintenance Technicians to tailor their notification preferences within the mobile application. Technicians should be able to set specific parameters for the types of alerts they want to receive, such as urgency levels, vehicle-related notifications, and scheduled maintenance reminders. This flexibility will enable technicians to manage their workload more effectively by minimizing alert overload and ensuring that they focus on the most critical tasks first. Enhanced customization options will contribute to better engagement with the notification system and overall job satisfaction.
Acceptance Criteria: Vehicle Maintenance Technicians customize their notification settings for the first time after downloading the mobile application.

Given a technician has logged into the mobile application, When they navigate to the notification settings page, Then they should be able to select preferences for urgency levels, vehicle notifications, and scheduled maintenance reminders, which will be saved and applied immediately.

Technicians receiving notifications related to urgent maintenance issues based on their customized settings.

Given a technician has set their notification preference to receive urgent alerts, When a critical maintenance issue arises for a vehicle they are responsible for, Then the technician should receive a real-time mobile notification with relevant details about the issue.

Technicians adjust their notification preferences to reduce alert frequency.

Given a technician has previously set their notification preferences for high urgency alerts, When they change the settings to medium and low urgency notifications, Then they will only receive alerts classified under those new parameters going forward.

A technician receives a notification for a scheduled maintenance reminder based on their customized settings.

Given a technician has set their notification preference to remind them about scheduled maintenance 24 hours in advance, When a maintenance reminder is triggered, Then the technician should receive a push notification 24 hours prior to the scheduled time.

The mobile application displays a summary of the technician's current notification settings.

Given the technician is on the notification settings page, When they select 'View Current Settings', Then the application should display a clear summary of their current preferences, including urgency levels and types of notifications selected.

Technicians test and confirm they understand how to customize their notification settings.

Given a technician wants to understand how to customize their notification settings, When they access the help section of the mobile app and search for 'customize notifications', Then they should find a step-by-step guide and a short tutorial video explaining the process clearly.

A technician experiences overlap with other notifications from different applications and adjusts their settings within FleetWise.

Given a technician reports conflicts with overlapping notifications from multiple applications, When they access their notification settings in FleetWise and choose to limit the types of notifications received, Then they should not receive any notifications that fall outside their selected criteria moving forward.

Feedback Mechanism

User Story: As a Vehicle Maintenance Technician, I want to provide feedback on the notification system so that I can help improve its effectiveness and usability for my colleagues and myself.
Description: Creating a Feedback Mechanism within the mobile application is essential for gathering insights from Vehicle Maintenance Technicians regarding the utility and effectiveness of the mobile maintenance notifications feature. This requirement includes the development of a simple interface where technicians can report issues, suggest improvements, and provide feedback on the notifications they receive. The feedback will be vital in refining the notification system and ensuring it continues to meet the evolving needs of users. Moreover, incorporating user feedback will aid in continuously enhancing the overall functionality and user experience of the mobile application.
Acceptance Criteria: Vehicle Maintenance Technicians use the mobile application during their daily operations to provide feedback after receiving maintenance notifications.

Given a technician receives a maintenance notification, when they access the feedback mechanism, then they should be able to submit feedback with a minimum of 150 characters and select a reason for their feedback from a predefined list.

Technicians report issues with the functionality of mobile maintenance notifications through the feedback mechanism.

Given a technician encounters an issue with a notification, when they utilize the feedback mechanism to report the issue, then the report should be successfully submitted and stored in the system without errors.

The feedback mechanism includes an option for technicians to suggest improvements regarding their experience with notifications.

Given a technician wants to suggest an improvement, when they use the feedback mechanism, then they should be able to submit their suggestion, which should be confirmed with a success message upon submission.

Management reviews the feedback collected from technicians regarding maintenance notifications for insights and action.

Given feedback has been submitted, when a management user accesses the feedback report, then they should see a summary of feedback categorized by type (issues, suggestions) with corresponding counts.

Technicians receive a notification confirming that their feedback has been received and is being processed.

Given a technician submits feedback, when the submission is complete, then they should receive a confirmation notification within the app acknowledging receipt of their feedback.

Feedback mechanism allows technicians to edit their submitted feedback in case of changes or corrections.

Given a technician has submitted feedback, when they access the editing option, then they should be able to modify their previously submitted feedback and save the changes successfully.

The mobile application tracks and displays the history of feedback submitted by each technician.

Given multiple feedback submissions made by the technician, when they access their feedback history, then they should be able to view a chronological list of all their submitted feedback with timestamps.

Alerts Prioritization Algorithm

User Story: As a Vehicle Maintenance Technician, I want notifications to be prioritized so that I can focus on the most critical maintenance issues first, ensuring efficient use of my time and resources.
Description: The Alerts Prioritization Algorithm requirement entails developing a sophisticated algorithm that categorizes and prioritizes notifications based on the severity and urgency of maintenance issues. This algorithm will analyze various data points, including vehicle performance metrics and historical maintenance records, to ensure Technicians are alerted to the most critical issues first. By implementing this requirement, the overall effectiveness of the Mobile Maintenance Notifications feature will be significantly enhanced, leading to better resource allocation and quicker resolution of potential vehicle failures.
Acceptance Criteria: High Priority Maintenance Alert Scenario

Given that a vehicle is experiencing a critical performance issue, when the Alerts Prioritization Algorithm analyzes the data, then the notification is sent to the technician within 1 minute and marked as high priority.

Low Priority Maintenance Alert Scenario

Given that a vehicle has minor performance issues, when the Alerts Prioritization Algorithm processes the maintenance data, then the notification is sent to the technician within 5 minutes and marked as low priority.

Real-Time Notification Delivery Scenario

Given that the technician is actively using the mobile application, when the Alerts Prioritization Algorithm categorizes the alerts, then the real-time updates are displayed immediately on the technician's dashboard without delay.

Historical Data Utilization Scenario

Given that the technician is reviewing past maintenance records, when the Alerts Prioritization Algorithm runs, then the notification prioritization includes insights from the last 12 months of historical data for accuracy.

Simultaneous Alerts Handling Scenario

Given that multiple vehicles are experiencing maintenance issues at the same time, when the Alerts Prioritization Algorithm analyzes the data, then it sends the high-severity alerts first, followed by medium and low severity alerts in order of priority within 30 seconds.

User Feedback Incorporation Scenario

Given that a technician receives maintenance notifications, when they provide feedback on the alert's relevance, then the Alerts Prioritization Algorithm adjusts its future prioritization based on the feedback received within one week.

Fuel Usage Trends

The Fuel Usage Trends feature provides drivers with a graphical representation of their fuel consumption over time, allowing them to easily identify patterns and areas for improvement. By visualizing fuel usage, drivers can make more informed decisions about their driving habits, leading to reduced fuel consumption and lower operational costs. This feature enhances accountability and encourages drivers to adopt more eco-friendly behaviors over time.

Requirements

Real-Time Fuel Data Tracking

User Story: As a fleet driver, I want to see real-time updates of my fuel consumption so that I can adjust my driving habits immediately to save on fuel costs.
Description: This requirement ensures that the Fuel Usage Trends feature provides real-time data on fuel consumption, allowing drivers to see their current fuel efficiency instantly. This capability is essential for identifying fuel usage patterns as they occur and can help in quickly addressing any issues related to excessive fuel consumption. The integration with the vehicle's existing telematics systems will allow for seamless tracking and reporting, providing drivers with actionable insights that can lead to immediate improvements in fuel efficiency.
Acceptance Criteria: Real-time display of fuel consumption data for drivers during active trips.

Given a driver is currently on a trip, when they access the Fuel Usage Trends feature, then the system provides a real-time graphical representation of their current fuel efficiency as a percentage and in gallons consumed per mile since the trip started.

Integration of fuel data with existing telematics systems in vehicles.

Given the FleetWise system is connected to the vehicle's telematics, when the system retrieves fuel consumption data, then it should update the Fuel Usage Trends with accurate, real-time information every minute without delay.

Alert system for excessive fuel consumption while driving.

Given a driver is operating a vehicle, when their real-time fuel efficiency drops below a defined threshold, then the system sends an immediate alert to the driver's display, prompting them to adjust their driving habits.

Visual representation of historical fuel trends accessible at any time.

Given a driver accesses the Fuel Usage Trends feature, when they select the historical data view, then the system displays a graphical representation of fuel consumption over the past week, including daily averages and total gallons consumed.

User feedback mechanism for the Fuel Usage Trends feature.

Given a driver has used the Fuel Usage Trends feature for a minimum of one week, when they provide feedback through the app, then the system collects and logs this feedback for analysis on possible improvements to the feature.

Comparison of fuel usage trends between different vehicle models in the fleet.

Given the company has multiple vehicle models, when the fleet manager accesses the Fuel Usage Trends dashboard, then the system provides a comparative analysis of fuel efficiency across these vehicle models, highlighting areas for improvement.

Historical Fuel Consumption Analysis

User Story: As a fleet driver, I want to analyze my fuel usage over the past month so that I can understand my driving habits and make changes to save fuel.
Description: This requirement involves the development of analytics capabilities that can visualize historical fuel consumption data over various time frames (daily, weekly, monthly). Drivers will be able to select different periods to analyze how their fuel usage has changed over time, which can help them understand the long-term impact of their driving behaviors. This feature aims to drive sustained changes for drivers, shifting their attitudes towards more fuel-efficient driving as they recognize patterns and track their progress over time.
Acceptance Criteria: Drivers access the historical fuel consumption analysis on the FleetWise dashboard to evaluate their fuel usage patterns over the past month.

Given the driver has selected the monthly view in the historical fuel consumption analysis, when they access the dashboard, then a graphical representation of their fuel consumption data for the past month should be displayed accurately.

A driver wants to compare their fuel consumption across different weeks to determine the impact of recent changes in driving habits.

Given the driver selects the weekly view and specifies two different weeks, when they request the comparison, then the dashboard should display a side-by-side comparison of fuel consumption for both weeks, including total and average fuel usage metrics.

A driver reviews their historical fuel consumption data to prepare for a performance review meeting with their manager.

Given the driver has selected the daily view for the last 10 days of fuel consumption, when the driver clicks on any specific day, then detailed data for that day, including total fuel used and driving duration, should be displayed clearly.

A fleet manager analyzes the fuel consumption data from several drivers to identify overall trends and areas for improvement.

Given the fleet manager accesses the historical fuel consumption dashboard, when they select the time frame as monthly for all drivers, then a summary report should be generated showing average fuel consumption across all drivers and highlight the top 3 drivers with the least and most fuel efficient driving habits.

A driver seeks to understand the long-term changes in their fuel consumption after adopting new driving habits.

Given the driver has viewed their historical fuel consumption analysis over the last six months, when they click on the trend line graph, then a tooltip should display key insights on any significant changes or patterns in fuel usage during this period.

A driver wants to set personal fuel consumption goals based on their historical data.

Given the driver is viewing their historical fuel consumption analysis, when they access the goal-setting feature, then they should be able to input a new target fuel usage for the upcoming month, and it should be saved successfully.

Driver Performance Scorecard

User Story: As a fleet driver, I want to see my performance score compared to my peers so that I can strive to improve my driving habits and fuel efficiency.
Description: The Driver Performance Scorecard will provide personalized scores for each driver based on their fuel consumption metrics. This requirement focuses on gamifying the driving experience, promoting competition among drivers by showcasing top performers on a dashboard. The scoring system will be based on key performance indicators [KPIs] such as fuel efficiency, adherence to optimal speed, and eco-friendly driving habits. This will encourage drivers to modify their behaviors to achieve better scores while also allowing fleet managers to easily identify top performers.
Acceptance Criteria: Driver views their personalized performance scorecard on the FleetWise dashboard after completing a week of driving.

Given the driver has logged driving hours for a full week, When the driver accesses the dashboard, Then the scorecard displays their total fuel efficiency score based on the collected data for that week.

Fleet manager reviews the top performers on the Driver Performance Scorecard during a weekly team meeting.

Given the fleet manager opens the Driver Performance Scorecard, When the scorecard is sorted by fuel efficiency, Then the top 10% of drivers appear with their scores prominently displayed.

Driver receives feedback on their driving habits at the end of the month based on their scorecard performance.

Given the month has ended, When the driver accesses the scorecard, Then they receive a summary report highlighting their score changes, key performance trends, and areas of improvement.

Fleet management analyzes overall fleet performance using the aggregated fuel consumption data from all drivers.

Given the fleet manager selects the monthly performance report, When the report generates, Then the summary shows total fuel consumed and average fuel efficiency for the fleet, along with percentage improvements.

Driver attempts to adjust driving behavior based on scorecard feedback provided by the FleetWise application.

Given the driver has received feedback through the scorecard, When they modify their driving habits (e.g., reduce speed, avoid harsh braking), Then their fuel efficiency score should improve within the next evaluation period.

User accesses the analytics feature to identify trends in their fuel consumption over a quarter.

Given the user selects the fuel usage trends report, When the report is generated, Then it visually displays a graph of fuel consumption patterns over the last three months, enabling the user to identify peak usage times or behaviors.

Fuel Savings Recommendations

User Story: As a fleet driver, I want to receive personalized recommendations on how to save fuel based on my driving patterns so that I can reduce my fuel expenses and be more environmentally friendly.
Description: This requirement involves creating a machine learning algorithm that analyzes fuel consumption data and provides customized recommendations for reducing fuel use. The recommendations will be based on historical data, driver behaviors, vehicle type, and route information. By integrating this feature, FleetWise will empower drivers with tailored tips that can further enhance their fuel efficiency, ensuring that they have the tools needed to lower their operational costs effectively.
Acceptance Criteria: Fuel Savings Recommendations Use Case for Drivers

Given a driver with fuel consumption data, when they access the Fuel Savings Recommendations feature, then they should receive at least three personalized recommendations based on their past driving behavior and routes taken.

Integration of Machine Learning Algorithm

Given the machine learning algorithm is implemented, when it processes historical fuel consumption data, then it must produce actionable recommendations that lead to at least a 10% reduction in fuel usage for users who implement them within a month.

User Feedback Incorporation

Given that the Fuel Savings Recommendations feature is in use, when drivers provide feedback on the recommendations, then there should be a prompt to capture their input, and the system should update recommendations based on the aggregated feedback at least quarterly.

Dashboard Display of Recommendations

Given the Fuel Savings Recommendations have been generated, when a driver views their dashboard, then the recommendations should be displayed in a dedicated section labeled 'Fuel Savings Tips' and should refresh automatically based on new data inputs at least once a week.

Accessibility for All Drivers

Given a diverse user base, when drivers with different accessibility needs attempt to use the Fuel Savings Recommendations feature, then the recommendations must be accessible through keyboard navigation and comply with standard accessibility guidelines (WCAG 2.1).

Historical Data Comparison

Given the Fuel Savings Recommendations feature has been running for a month, when drivers access their past fuel consumption data, then the system should compare the pre-implementation and post-implementation data and provide a visual graph showing at least a 15% improvement in fuel efficiency for the average user.

Dashboard Visualization Enhancements

User Story: As a fleet driver, I want to choose how my fuel consumption data is displayed on the dashboard so that I can better understand my trends and make informed changes.
Description: The Fuel Usage Trends feature's dashboard should include multiple visualization formats, such as graphs, charts, and heat maps, enabling drivers to choose the best way to view their fuel consumption data. By providing a variety of visualization options, users can easily interpret their fuel usage statistics, leading to more significant insights. This enhancement aims to improve user engagement and make fuel consumption data easily digestible, thereby driving better decision-making related to driving habits.
Acceptance Criteria: Dashboard Visualization Options Selection by Drivers

Given that the driver is on the Fuel Usage Trends dashboard, When the driver clicks on the visualization format options, Then they should see multiple formats including graphs, charts, and heat maps to select from.

Fuel Consumption Data Accuracy

Given that the driver selects a specific visualization format, When they view the fuel usage data, Then the data presented should accurately reflect the driver's historical fuel consumption records without discrepancies.

Response Time for Visualization Change

Given that the driver selects a different visualization format, When the format is changed, Then the new visualization should load and be displayed within 2 seconds.

User Engagement with Visualization Formats

Given that the Fuel Usage Trends feature is deployed, When drivers utilize different visualization formats over a month, Then at least 70% of drivers should report finding the visualizations helpful in understanding their fuel consumption.

Heat Map Interaction for Fuel Usage

Given that the driver selects the heat map visualization, When they hover over different sections of the heat map, Then they should see detailed fuel usage statistics for specific time intervals and routes.

Customization of Visualizations by Drivers

Given that the driver is on the Fuel Usage Trends dashboard, When they adjust parameters such as time range and vehicle selection, Then the selected visualization should update accordingly to reflect these changes.

Mobile Responsiveness of Dashboard Visualizations

Given that the driver accesses the Fuel Usage Trends dashboard on a mobile device, When they navigate to the visualizations, Then all visualization formats should be properly responsive and visually coherent on different screen sizes.

Alerts for Abnormal Fuel Consumption

User Story: As a fleet driver, I want to receive alerts when my fuel consumption spikes unexpectedly so that I can address any issues promptly and maintain efficient operations.
Description: This requirement includes the development of a notification system that alerts drivers when their fuel consumption deviates significantly from their norm based on historical data. Alerts will be generated when specific thresholds are reached, indicating potential issues such as inefficient driving behavior or mechanical problems within the vehicle. The purpose of this feature is to prompt immediate investigation and corrections, thereby contributing to more effective fuel management.
Acceptance Criteria: Driver receives a notification about abnormal fuel consumption due to excessive acceleration patterns over the past week.

Given a driver has recorded fuel consumption data for the past week, when their fuel consumption exceeds a predefined threshold, then they should receive an alert via the FleetWise mobile application.

A mechanic reviews fuel consumption alerts to diagnose potential mechanical issues within a vehicle that is consuming more fuel than usual.

Given a vehicle's fuel consumption has triggered an alert, when the mechanic accesses the historical data linked to that vehicle, then the system should display a detailed report showing fuel consumption patterns and potential mechanical problems.

A fleet manager analyzes overall fuel consumption trends and identifies drivers with frequent alerts for abnormal fuel usage.

Given the fleet manager has access to the Fuel Usage Trends dashboard, when they filter the data to view drivers with the most alerts in the past month, then the system should present a list of those drivers along with their consumption data and alert frequency.

Drivers receive training on responding to alerts for abnormal fuel consumption and how to adjust behavior to improve fuel efficiency.

Given that training has been completed, when drivers use the FleetWise platform after training, then they should demonstrate a decrease in alerts received for abnormal fuel consumption over the next three months.

A driver addresses an alert indicating unusually high fuel consumption and successfully changes driving habits to improve efficiency.

Given that the driver has received an abnormal consumption alert, when they complete the suggested changes to their driving habits, then they should see a reduction in fuel consumption of at least 10% within the next month.

The system recalibrates the thresholds for abnormal fuel consumption based on a new data set from the past month.

Given that the data set has been updated, when the system recalibrates the thresholds, then the new thresholds should reflect changes in fuel consumption patterns for all drivers by the end of the review period.

Integration with Maintenance Scheduling

User Story: As a fleet manager, I want fuel consumption reports to trigger maintenance alerts so that I can ensure vehicles are regularly serviced and perform efficiently.
Description: This requirement will ensure that the Fuel Usage Trends feature can integrate with vehicle maintenance schedules. If abnormal fuel consumption is detected, the system should prompt a check or maintenance appointment for the vehicle. This capability aims to link fuel efficiency with maintenance practices, ensuring that vehicles are running optimally at all times, thus reducing operational costs and preventing breakdowns due to poor vehicle performance.
Acceptance Criteria: Drivers receive notifications of unusual fuel consumption and its correlation with maintenance schedules.

Given a driver is actively using the Fuel Usage Trends feature, when the system detects an abnormal increase in fuel consumption, then the driver should receive a notification prompting them to check the vehicle's maintenance schedule.

Maintenance appointment scheduling is initiated based on fuel efficiency data.

Given an abnormal fuel consumption pattern is detected, when the driver acknowledges the notification, then the system must allow the driver to schedule a maintenance appointment directly within the application.

Drivers can view maintenance recommendations based on fuel usage trends.

Given fuel usage data shows consistent high consumption, when the driver checks their fuel usage trends, then the system should display recommended maintenance actions linked to the specific problems identified with fuel efficiency.

Integration with external maintenance systems to streamline scheduling.

Given a maintenance appointment is scheduled through the app, when the driver confirms the appointment, then the system should automatically send this information to the company's existing maintenance system for scheduling purposes.

Monthly reports summarizing fuel consumption and maintenance actions taken.

Given a driver has been using the Fuel Usage Trends feature for a month, when the month ends, then the system should generate a report summarizing fuel consumption trends and any maintenance actions taken during that period.

Impact analysis of maintenance on fuel efficiency.

Given a maintenance action has been taken on a vehicle, when the system analyzes fuel consumption data over the following month, then it should show a clear report indicating whether fuel efficiency has improved as a result of the maintenance.

Route Optimization Insights

Route Optimization Insights analyzes past routes taken by drivers, comparing them against ideal path benchmarks. This feature not only helps drivers see where they can improve route choices for efficiency but also provides real-time suggestions on alternate routes that could save time and fuel. By optimizing routes based on historical data, drivers can enhance their delivery performance and minimize costs.

Requirements

Historical Route Analysis

User Story: As a fleet manager, I want to analyze historical routes taken by drivers so that I can identify areas for improvement and guide my team towards more efficient driving practices.
Description: This requirement involves implementing an analytical module that reviews historical route data taken by drivers to identify trends and patterns in route selection. By comparing these routes against established benchmark paths, the system will highlight areas where drivers can improve their choices for increased efficiency. This analysis will help inform drivers of their performance metrics and suggest best practices, ultimately contributing to time savings and reduced fuel costs. The integration of this module within FleetWise will provide a comprehensive view of past performance, enabling data-driven decision-making for route optimizations.
Acceptance Criteria: Use Case of Drivers Reviewing Historical Route Performance

Given a driver accesses the Route Optimization Insights feature, when they select a specific historical route, then they should see a comprehensive analysis showing performance metrics such as time taken, fuel consumed, and comparisons to ideal benchmark paths.

Comparison with Benchmark Paths

Given the historical route analysis is conducted, when the system analyzes the driver’s past routes, then it should identify at least three significant deviations from the established benchmarks and provide actionable recommendations to correct these.

Real-time Suggestions for Route Optimization

Given that a driver is currently on a route, when the system identifies an alternative route that could save time or fuel, then it should send a notification to the driver with estimated savings and distance.

Performance Metrics Dashboard for Fleet Managers

Given a fleet manager accesses the FleetWise dashboard, when they view the Route Optimization Insights section, then they should see aggregated performance metrics for all drivers including average time savings and fuel efficiency improvements on optimized routes.

Historical Data Export for Further Analysis

Given a fleet manager requests a report, when the historical route analysis data is exported, then it should generate a downloadable file containing route metrics, benchmarks, and performance insights in a standard format such as CSV or Excel.

User Feedback on Route Suggestions

Given that a driver receives a suggested route optimization, when the driver completes the suggested route, then they should be prompted to provide feedback on the effectiveness of the suggestion which is then recorded for future analysis.

Training Module for Drivers on Route Optimization Tools

Given newly onboarded drivers, when they complete the training module on route optimization tools, then they should demonstrate knowledge by performing a simulated historical route analysis successfully as assessed by a quiz with at least 80% accuracy.

Real-time Route Suggestions

User Story: As a driver, I want to receive real-time suggestions for alternative routes while I am on the road so that I can avoid delays and reduce fuel consumption.
Description: This feature requirement mandates the development of a system component that provides real-time suggestions for alternative routes during transit. By utilizing live traffic data, weather conditions, and other relevant factors, the system will offer drivers optimal pathways that can result in savings of time and fuel. The capability to present these suggestions in an intuitive manner, possibly via the driver’s mobile device or onboard system, will enhance the real-time responsiveness of route management. Integrating this feature will bolster operational efficiency and reduce overall transportation costs for fleet operators.
Acceptance Criteria: Real-time route suggestions for delivery drivers during peak traffic hours.

Given that a delivery driver is en route to their destination, when the system detects heavy traffic on the current route, then it should provide an alternative route suggestion that reduces travel time by at least 15% compared to the original route.

Integration of live weather data affecting route suggestions for drivers.

Given that a delivery driver is on the road and the system is analyzing live weather data, when adverse weather conditions are detected (e.g., heavy rain or snow), then the system must suggest safer alternative routes that avoid these conditions and ensure arrival time does not exceed the estimated time by more than 10%.

User interface display of alternative routes on the driver’s mobile device.

Given that a driver receives a real-time route suggestion, when they view the suggested route on their mobile device, then the interface should clearly highlight the alternative route with an estimated time of arrival (ETA) and fuel savings, making it easy to compare against the original route.

Assessment of route suggestions based on historical data analysis.

Given that the system has collected historical route performance data, when a driver requests route optimization, then the system should analyze at least the last 30 routes taken and identify at least two optimized routes that could improve efficiency by 20% based on past performance metrics.

User feedback mechanism for assessing route suggestion accuracy.

Given that a driver has implemented a suggested alternative route, when the journey is completed, then the system should prompt the driver to rate the suggested route’s effectiveness, and this feedback should be stored for future analysis and improvement of the routing algorithm.

Real-time notification for any changes in traffic conditions during transit.

Given that a driver is currently on a route with live traffic updates, when significant traffic alterations occur (e.g., accidents or road closures), then the system should immediately notify the driver of the situation and propose a new route accordingly, with an updated ETA.

Performance metrics tracking for the route optimization feature.

Given that the route optimization feature has been implemented, when evaluating its effectiveness, then the system should track and report on key performance indicators such as average time saved per route, fuel consumption reduced, and overall driver satisfaction with suggested routes on a monthly basis.

Interactive Route Visualization

User Story: As a fleet manager, I want to visualize the routes driven by my team in an interactive map so that I can easily identify inefficiencies and discuss improvements with drivers.
Description: This requirement entails the creation of an interactive visualization tool that allows users to view routes taken by drivers in a graphical format. This tool should enable fleet managers to overlay benchmarks, historical data, and real-time routing options on a map interface. By providing a visual representation of route performance, users can easily identify inefficiencies and areas for potential improvement. Such visibility will facilitate discussions around performance and decision-making regarding training or operational changes, ultimately improving route efficacy and driver performance.
Acceptance Criteria: Fleet Manager Analyzing Route Performance

Given a fleet manager has access to the interactive route visualization tool, when they select a specific driver's routes, then they should be able to see a graphical representation of the routes overlaid with ideal benchmarks and historical performance data on a map.

Driver Accessing Real-Time Route Suggestions

Given a driver is using the route visualization tool, when they are on a route and the tool analyzes their movements, then they should receive real-time suggestions for alternate routes that can reduce travel time and fuel consumption, displayed clearly on their device.

Identifying Inefficient Routes for Improvement

Given a fleet manager is reviewing the routes taken by various drivers, when they use the interactive visualization tool to compare actual routes with benchmarks, then the tool should highlight routes that fall below a specified efficiency threshold and suggest training opportunities for those drivers.

Customizing Benchmark Overlays for Analysis

Given a fleet manager wants to analyze routes against different benchmarks, when they access the tool's settings, then they should be able to customize which benchmarks are displayed (e.g., fuel efficiency, time, distance) on the map interface for their analysis.

Reviewing Historical Route Data

Given a fleet manager is reviewing historical performance, when they utilize the interactive route visualization tool, then they should be able to view historical routes taken by drivers with the ability to filter by date range and cost metrics for effective performance tracking.

Sharing Route Insights with the Team

Given a fleet manager has identified insights from the route visualization tool, when they click the share option, then the tool should allow them to generate a report that can be easily shared with team members via email or download as a PDF.

Checking System Performance and Responsiveness

Given the interactive route visualization tool is in use, when multiple fleet managers are accessing the tool simultaneously, then the tool should maintain a response time of less than 2 seconds for displaying updated route data and visualizations.

Performance Benchmarking Metrics

User Story: As a fleet manager, I want to track performance metrics for routes so that I can measure driver efficiency and make informed operational decisions.
Description: This requirement involves developing a metric system that quantifies performance benchmarks for routes taken by drivers. It will calculate metrics such as average travel time, fuel consumption, and deviations from the ideal path. These metrics will give fleet managers crucial insights into how well routes are being optimized and where modifications can be made. By establishing clear performance standards, this feature will aid in accountability and continuous improvement within the fleet, allowing for strategic enhancements to delivery processes.
Acceptance Criteria: Performance Metrics Calculation for Route Analysis

Given a fleet manager has selected a specific route, when the system calculates performance metrics for the chosen route, then it must display the average travel time, total fuel consumption, and percentage deviation from the ideal path based on historical data within 5 seconds.

Comparative Analysis of Multiple Routes

Given a driver inputs multiple past routes into the system, when the system analyzes these routes, then it must provide a comparative performance report highlighting the route with the best fuel efficiency and shortest travel time, within a 10-second response time.

Display of Performance Metrics on Dashboard

Given a fleet manager accesses the dashboard, when the performance benchmarking metrics are generated for the fleet, then the dashboard must display these metrics in a clear and visually engaging manner indicating areas for improvement.

Real-time Route Suggestion Implementation

Given a driver is currently on a route, when the system detects a potential deviation from the ideal path based on real-time data, then it must suggest an alternate route that could potentially save at least 10% in travel time within 5 minutes of driving.

Historical Data Trend Analysis

Given a fleet manager reviews performance metrics over the last month, when the system presents the data trend, then it must show a graphical representation of average travel time, fuel consumption, and deviations, highlighting improvements or areas needing attention.

Performance Metric Report Generation

Given a fleet manager requests a performance report, when the system generates the report, then it must include detailed insights on each driver's performance, including average fuel consumption and deviations, and be downloadable as a PDF within 10 seconds.

Notification of Performance Benchmarks Breach

Given a vehicle's performance metric exceeds defined benchmarks, when the system identifies this breach, then it must send an automatic notification to the fleet manager within 1 minute to alert them of potential issues.

Driver Feedback System

User Story: As a driver, I want to provide feedback on route suggestions so that I can contribute to the continuous improvement of the routing system.
Description: This requirement calls for the development of a feedback mechanism within FleetWise that allows drivers to report back on the route suggestions made by the system. Drivers will be able to provide insights on whether the suggested routes were feasible, effective, or should be improved. This user-driven feedback loop will enable continuous improvement of the route optimization algorithms and enhance the overall driving experience. By integrating the feedback system, the platform can evolve to meet the real-world challenges faced by drivers during transit.
Acceptance Criteria: Driver provides feedback on suggested route after completing a delivery.

Given the driver has completed their delivery using a suggested route, when they access the feedback system, then they should be able to rate the route as ‘Feasible’, ‘Effective’, or ‘Needs Improvement’ and provide comments.

Driver receives automated prompt to provide feedback after each delivery.

Given a driver completes a delivery, when the feedback prompt appears, then the driver should be able to submit feedback within 30 seconds without error every time.

Admin reviews the feedback provided by drivers for route optimization.

Given that drivers have submitted feedback on routes, when an admin reviews the feedback report, then they should see actionable insights and trends displayed for decision-making, with at least 80% of feedback categorized appropriately.

Driver can view the history of feedback submitted for previous routes.

Given a driver accesses their feedback history, when they view the recorded feedback, then they should see a list of past submissions with dates, ratings, and comments without any missing entries.

System acknowledges receipt of feedback to drivers.

Given a driver submits feedback on a suggested route, when the submission is successful, then the driver should receive an acknowledgment message confirming their feedback was received.

Feedback system responds to driver comments with suggested improvements.

Given a driver submits feedback that indicates a route needs improvement, when the feedback is processed, then the driver should receive a response within 24 hours with suggested changes to the route.

Analysis of feedback leads to updates in route optimization algorithms.

Given cumulative feedback has been reviewed, when changes are implemented in the route optimization algorithms, then the system should show a measurable improvement in route efficiency for at least 75% of routes analyzed within the next update cycle.

Safety Incident Dashboard

The Safety Incident Dashboard provides drivers with a comprehensive overview of safety incidents over a defined period. This feature categorizes incidents by type, severity, and frequency, and offers actionable insights to mitigate risks. By focusing on safety performance, drivers can identify risky behaviors, participate in targeted safety training, and improve their overall driving safety record, reducing accidents and associated costs.

Requirements

Incident Categorization

User Story: As a driver, I want to view categorized safety incidents so that I can understand the types of risks I may face while driving and take appropriate measures to mitigate them.
Description: The Safety Incident Dashboard will categorize reported safety incidents by type (e.g., collision, near-miss, mechanical failure), severity (e.g., minor, moderate, severe), and frequency (e.g., daily, weekly, monthly). This feature will allow users to easily understand the different kinds of incidents occurring within their fleet over specific time periods. By providing this data, FleetWise helps in identifying trends, developing safety protocols, and assisting in risk prioritization. The categorization will enable management to make informed decisions on targeted interventions for improving overall fleet safety.
Acceptance Criteria: Categorizing Safety Incidents Based on Type, Severity, and Frequency

Given that a driver reports a safety incident, when the incident is categorized, then it must display the correct type (e.g., collision, near-miss, mechanical failure) accurately.

Displaying Safety Incident Data Over a Defined Time Period

Given that the user selects a specific time period, when they view the Safety Incident Dashboard, then it must display incidents categorized by type, severity, and frequency for the selected time period.

Aggregating Incident Data for Trend Analysis

Given that the Safety Incident Dashboard displays incident data, when a driver views the dashboard, then it must allow filtering incidents by frequency (e.g., daily, weekly, monthly) to identify trends over time.

User Interaction with Categorized Incident Data

Given that the dashboard displays categorized incident data, when a driver clicks on a specific category, then it must provide detailed information about incidents within that category, including dates and descriptions.

Generating Reports from Categorized Incidents

Given that incidents are categorized in the Safety Incident Dashboard, when a management user requests a report, then the system must generate a report summarizing incidents by type, severity, and frequency over the requested time frame.

Accessibility and Usability of Safety Incident Information

Given that a driver accesses the Safety Incident Dashboard, when they navigate through different categories, then the information must be presented in a clear and user-friendly manner, ensuring all essential data is easily accessible.

Real-time Incident Alerts

User Story: As a fleet manager, I want to receive real-time alerts about safety incidents so that I can take immediate actions to ensure driver and vehicle safety.
Description: Implement a feature that sends real-time alerts to drivers and fleet managers about safety incidents as they occur. This will include notifications for severe incidents that require immediate attention, as well as useful tips for risk reduction associated with specific incidents. By enabling instant communication regarding safety risks, FleetWise enhances proactive measures, improving fleet safety and reducing response times for addressing dangerous situations.
Acceptance Criteria: Real-time alerts for severe incidents during a driving session

Given a severe safety incident occurs during a driving session, when the incident is detected, then the driver and fleet manager should receive an immediate notification through the FleetWise app with the incident details and suggested actions.

Real-time alerts for minor incidents during a driving session

Given a minor safety incident occurs during a driving session, when the incident is detected, then the driver and fleet manager should receive a notification through the FleetWise app that includes a summary of the incident and tips for risk mitigation.

Delivery of notifications in different situations during off-hours

Given that a safety incident occurs while drivers are off-duty, when the incident is detected, then the fleet manager should receive an alert through the FleetWise platform detailing the incident and including potential impacts on fleet operations.

Integration of incident alerts with fleet management dashboard

Given a safety incident notification is sent, when the fleet manager views the Safety Incident Dashboard, then the incident should be reflected in real-time on the dashboard with appropriate categorization and historical context for analysis.

Feedback mechanism for improving alert accuracy

Given a real-time incident alert is delivered, when the driver or fleet manager interacts with the alert, then they should have the option to provide feedback on the alert's relevance and accuracy, which is recorded for future enhancements.

Testing notification performance and reliability

Given various safety incidents with differing severities, when testing the notification system, then at least 95% of alerts should be delivered to the appropriate users within 30 seconds of incident detection.

User interface clarity for real-time alerts

Given a real-time alert is received, when the driver or fleet manager views the alert, then the alert should be clearly presented with all necessary information and action items in a user-friendly format.

Safety Incident Analytics

User Story: As a fleet manager, I want to analyze historical data on safety incidents so that I can identify patterns and trends that inform training and safety protocols.
Description: The Safety Incident Dashboard should include a comprehensive analytics tool that summarizes safety incidents over time, identifying patterns concerning specific drivers, routes, or vehicles. With built-in reporting capabilities, this feature will allow fleet managers to visualize safety performance trends and generate actionable reports that help inform strategic safety training initiatives. This will ultimately facilitate a culture of safety within the organization and lead to lower accident rates.
Acceptance Criteria: Overview of Safety Incidents for Fleet Managers

Given a fleet manager accesses the Safety Incident Dashboard, when they view the dashboard, then they should see a comprehensive overview of safety incidents categorized by type, severity, and frequency for the selected time period.

Identification of Patterns in Safety Incidents

Given a fleet manager selects specific drivers, routes, or vehicles, when they run the Safety Incident Analytics report, then the system should identify and highlight any recurring patterns in safety incidents associated with those parameters.

Actionable Insights for Risk Mitigation

Given a driver views their individual safety report in the Safety Incident Dashboard, when they analyze the insights provided, then they should have clear and actionable recommendations for mitigating identified risks based on past incidents.

Reporting Capabilities for Safety Incident Trends

Given a fleet manager wants to generate a safety report, when they select the reporting function within the dashboard, then the system should allow them to create customizable reports that visualize safety performance trends over the chosen time frame.

User-Friendly Dashboard Navigation

Given that a driver logs into the Safety Incident Dashboard, when they navigate through the interface, then they should find the dashboard intuitive and straightforward to use, enabling easy access to all safety incident information.

Integration with Safety Training Programs

Given a fleet manager uses the analytics feature, when they identify areas that need improvement, then they should be able to link those findings directly to targeted safety training modules or programs available within FleetWise.

Historical Data Analysis for Continuous Improvement

Given a fleet manager evaluates incident data from the previous year, when they compare it to the current year’s data, then they should be able to see a trend indicating either improvement or decline in safety incidents, ensuring continuous improvement in fleet safety.

Driver Behavior Tracking

User Story: As a driver, I want to receive feedback on my driving behavior so that I can understand my risk factors and improve my safety record.
Description: Integrate a feature that allows tracking and assessing driver behavior correlated with safety incidents. Metrics include harsh braking, speeding, and rapid acceleration, which contribute to risk profiles. FleetWise will provide insights on individual driving patterns and suggest corrective actions to improve driver safety. This data-driven approach will enable fleet managers to tailor training programs to address specific risky behaviors, ultimately fostering a safer driving environment.
Acceptance Criteria: Driver accesses the Safety Incident Dashboard to review their driving behavior metrics for the past month.

Given the driver is logged into FleetWise, when they navigate to the Safety Incident Dashboard, then the dashboard displays metrics for harsh braking, speeding, and rapid acceleration for the last 30 days.

Fleet manager reviews aggregated data from the Safety Incident Dashboard to assess the driving behaviors of the entire fleet over a quarter.

Given the fleet manager selects the quarterly report option, when they generate the report, then the report should provide a breakdown of incidents by type, severity, and frequency along with average scores for each metric across the fleet.

A driver receives feedback on their driving behavior via an in-app notification after a series of incidents are recorded.

Given the driver accumulates a specified number of harsh braking, speeding, or rapid acceleration incidents, when the incidents are logged, then the driver receives a notification with insights on their behavior and suggested corrective actions.

FleetWise's predictive analytics suggest tailored training programs based on individual driver behavior metrics.

Given that a driver has been identified as having multiple risky behaviors, when the analytics engine processes the data, then it should recommend a specific training program aimed at addressing those behaviors to the fleet manager.

A specific behavior metric is analyzed over time to determine the effectiveness of training interventions.

Given that a training program has been implemented, when the fleet manager reviews the driver's metrics post-training, then the improvement in the respective metrics should be at least a 15% reduction in risky incidents over the following quarter.

Drivers access a summary report of their driving performance and incident history at the end of each month.

Given the driver accesses their monthly performance summary, when they request the report, then the system should generate a report that includes the total number of incidents, a breakdown of each type, and performance improvement suggestions.

The Safety Incident Dashboard is tested under peak loads to ensure performance stability.

Given that the system is under peak load conditions, when drivers access the Safety Incident Dashboard simultaneously, then the system should maintain a response time of under 3 seconds for each request without errors.

Customized Safety Training Recommendations

User Story: As a driver, I want to receive personalized training recommendations based on my driving history so that I can improve my skills and reduce my risk of incidents.
Description: Create a recommendation engine that provides personalized safety training suggestions based on individual performance and incident history. The dashboard will showcase which areas a driver excels in and where they need improvement. By tailoring safety training to the specific needs of drivers, FleetWise enhances the effectiveness of training programs and aims to lower future incident rates, resulting in safer driving practices within the fleet.
Acceptance Criteria: Driver accesses the Safety Incident Dashboard and views personalized safety training recommendations after experiencing multiple incidents over a three-month period.

Given the driver has logged into the Safety Incident Dashboard, When they navigate to the training recommendations section, Then they should see a list of personalized training modules based on their incident history and performance analysis.

The recommendation engine processes the driver's historical incident data and performance metrics to generate tailored training suggestions.

Given the engine has access to a driver's incident history and performance metrics, When it processes this data, Then it should generate personalized training recommendations that target at least the top two areas of improvement based on incident frequency and severity.

The driver receives feedback on their progress in the training modules recommended by the Safety Incident Dashboard.

Given the driver has completed the recommended training modules, When they revisit the Safety Incident Dashboard, Then they should see updated performance metrics reflecting improvements in the areas where they received training.

Management views a summary report on the effectiveness of the customized safety training recommendations for all drivers.

Given management is viewing the Safety Incident Dashboard, When they select the report on training effectiveness, Then they should see data indicating a reduction in incident rates among drivers who completed the recommended training within the last six months.

The safety training recommendations dynamically adjust as the driver's performance and incident record change over time.

Given a driver’s performance and incident records are updated, When the recommendations engine recalibrates, Then it should reflect new training needs within 24 hours based on the latest data.

Performance Gamification

Performance Gamification introduces a competitive element to the Driver Efficiency Scorecard. By awarding points, badges, and leaderboards for efficient driving behaviors, this feature motivates drivers to improve their fuel efficiency, safety, and route adherence. This engaging approach not only fosters a culture of improvement among drivers but also enhances team morale and reduces costs associated with inefficient practices.

Requirements

Driver Scoring Criteria

User Story: As a fleet manager, I want to clearly understand the criteria used to evaluate driver performance so that I can effectively communicate expectations and encourage my drivers to improve their efficiency scores.
Description: The Driver Scoring Criteria requirement outlines the parameters and behaviors that will be evaluated to generate a Driver Efficiency Score. This includes metrics such as fuel consumption rates, adherence to speed limits, sharp turns, and optimal route usage. By clearly defining these criteria, the system ensures that drivers understand what promotes efficiency and safety, and how they can improve their scores over time. This transparency will motivate drivers to engage with the gamification elements, improving overall fleet performance and driving behaviors.
Acceptance Criteria: Driver Efficiency Score Calculation based on Automated Data

Given a driver completes a delivery trip, when the system calculates their Driver Efficiency Score based on defined criteria (fuel consumption, speed limit adherence, sharp turns, route optimization), then the score is correctly generated and displayed on their scorecard.

Real-time Feedback on Driving Behavior

Given a driver is on a trip, when they exhibit driving behaviors that affect their efficiency score (e.g., harsh acceleration, speeding), then the system provides real-time feedback and suggestions for improvement through the mobile app.

Gamification Elements Displayed on Scorecard

Given a driver views their Driver Efficiency Scorecard, when the scorecard is loaded, then it displays the points earned, badges achieved, and their current rank on the leaderboard.

Weekly Progress Report for Drivers

Given a week has passed, when the system generates a progress report for each driver, then it summarizes the driver’s efficiency score, behavioral improvements, and gamification achievements, and delivers it via email.

Admin View of Driver Performances

Given an admin user is logged into the FleetWise dashboard, when they access the Driver Performance section, then they can see a comprehensive overview of all drivers' efficiency scores, ranks, and areas of improvement.

Recognition of Top Performers

Given the leaderboard is updated, when the top three drivers based on efficiency scores are identified, then they receive a recognition badge and an announcement is sent to the entire team.

Points and Badges System

User Story: As a driver, I want to earn points and badges for my driving efficiency so that I feel recognized for my good habits and motivated to improve further.
Description: The Points and Badges System requirement specifies the structure by which drivers will earn points and badges based on their driving behaviors. Drivers will accumulate points for each positive action, such as maintaining fuel efficiency and consistently following prescribed routes. As they reach certain milestones, they will unlock badges that can be showcased on leaderboards. This feature serves to incentivize and reward good driving habits, creating a positive feedback loop that enhances driver engagement and promotes a culture of continuous improvement within the fleet.
Acceptance Criteria: Drivers earn points for maintaining fuel efficiency over a defined threshold for a trip duration of at least 30 minutes.

Given a driver completes a trip maintaining fuel efficiency above the threshold, when the trip ends, then the driver should receive the specified number of points for that trip recorded in the system.

Drivers earn badges upon reaching specific milestones related to accumulated points for safe driving behaviors.

Given a driver accumulates points that meet or exceed a predefined milestone threshold, when the system checks the points accumulated, then the driver should receive the corresponding badge which is displayed on their profile.

The leaderboard is updated in real-time to reflect the top-performing drivers based on points earned from their driving behaviors.

Given the points system is updated after every trip, when points are awarded to drivers, then the leaderboard should be refreshed to display the top 10 drivers ranked by their total points in real-time.

Drivers can view their accumulated points and badges on their personal dashboard.

Given a driver logs into their dashboard, when the dashboard loads, then it should display the total points accumulated and all badges earned by the driver clearly and accurately.

The system provides feedback when drivers reach a new badge milestone.

Given a driver earns enough points for a new badge, when the points are recorded, then the system should trigger a notification to the driver informing them of the new badge earned.

The Points and Badges System accurately tracks and translates driving behaviors into points according to defined rules.

Given a defined set of driving behaviors, when a driver performs these behaviors during a trip, then the system should accurately calculate and assign the correct points as per the established criteria.

Leaderboard Functionality

User Story: As a driver, I want to check my position on the leaderboard so that I can see how I compare with my colleagues and identify areas for improvement.
Description: The Leaderboard Functionality requirement establishes a competitive platform where drivers can see their scores compared to their peers. This feature will display a real-time leaderboard highlighting the top performers based on their efficiency scores. This competitive element will encourage drivers to improve their scores to rise up the ranks, fostering a spirit of teamwork and friendly competition among drivers. The leaderboard will be accessible through the FleetWise dashboard, ensuring that drivers can easily track their performance against others.
Acceptance Criteria: Display of Real-Time Scores on Leaderboard

Given a driver logs into the FleetWise dashboard, when they navigate to the leaderboard section, then they should see their current efficiency score displayed in real-time along with the scores of the top 10 performers.

Leaderboard Accessibility for All Drivers

Given that a driver has valid access to the FleetWise dashboard, when they access the leaderboard feature, then they must be able to view their score and the scores of other drivers without any errors or restrictions.

Updating Scores Automatically

Given there are changes to a driver's efficiency score due to newly recorded data, when the updates are processed, then the leaderboard should automatically refresh to reflect the latest scores within 5 seconds.

Incorporation of Badges and Points

Given a driver achieves a milestone in efficiency, when they view the leaderboard, then they should see the corresponding badge and points awarded displayed next to their name on the leaderboard.

Leaderboard Sorting Functionality

Given a driver is viewing the leaderboard, when they select to sort the leaderboard by different criteria (e.g., fuel efficiency, safety score, route adherence), then the leaderboard should correctly sort and display drivers according to the selected criteria.

User Notifications for Leaderboard Changes

Given that a driver's standing on the leaderboard changes, when they are logged into the FleetWise dashboard, then they should receive a notification informing them of their new position and any points or badges gained.

Measure Driver Engagement with Leaderboard

Given the leaderboard has been active for one month, when data is analyzed, then there should be a measurable increase in overall driver engagement and improved efficiency scores compared to the month before the leaderboard was implemented.

Dynamic Feedback Mechanism

User Story: As a driver, I want to receive real-time feedback on my driving behavior so that I can immediately adjust and improve my performance during my routes.
Description: The Dynamic Feedback Mechanism requirement involves providing immediate feedback to drivers based on their performance in real-time. This feature will notify drivers when they exhibit unsafe behaviors or when they score high on efficiency metrics. By giving timely feedback, the system can reinforce good driving practices and suggest areas for improvement. This ensures that drivers are aware of their performance as it happens, enabling them to adjust their behaviors on-the-go for optimal outcomes.
Acceptance Criteria: Driver receives immediate feedback on unsafe driving behavior while operating the vehicle.

Given the driver is in the vehicle, when they engage in unsafe driving behaviors (such as harsh braking or rapid acceleration), then the system provides a real-time notification through audio and visual alerts.

Driver is notified upon achieving high efficiency metrics during a trip.

Given the driver is completing a route, when they maintain optimal driving metrics (fuel efficiency, adherence to speed limits), then the system sends a congratulatory message and awards points towards the Driver Efficiency Scorecard.

Driver accesses the feedback summary after a trip to review performance metrics.

Given the driver has completed their route, when they access the performance feedback section in the app, then they can see a detailed summary of their driving behaviors, including areas of strength and suggestions for improvement, along with associated point awards.

Dynamic feedback adapts based on the driver's performance history.

Given the driver has a performance history, when they complete multiple trips, then the system adjusts the feedback notifications based on past behavior, providing customized advice to enhance driving performance relevant to their individual metrics.

The system tracks and displays a leaderboard for driver performance based on efficiency metrics.

Given multiple drivers in the fleet, when performance metrics are evaluated, then the system generates a real-time leaderboard displaying the top drivers based on their efficiency scores, updated after every trip.

The system integrates with the existing fleet management dashboard for seamless access.

Given that the fleet management dashboard is in use, when the Dynamic Feedback Mechanism is implemented, then the feedback for each driver should be visible in the dashboard, allowing managers to monitor improvements and make data-driven decisions.

Monthly Performance Reports

User Story: As a fleet manager, I want to view monthly performance reports for each driver so that I can provide constructive feedback and recognize high performers in our fleet.
Description: The Monthly Performance Reports requirement allows fleet managers to generate detailed analyses of driver performance over the month. These reports will summarize individual driver scores, highlight improvements or declines, and provide actionable insights for training or rewards. This feature supports data-driven decision-making and ensures that both managers and drivers can see long-term trends in performance, laying the foundation for targeted interventions and recognition strategies.
Acceptance Criteria: Fleet Manager Requests Monthly Performance Report for All Drivers

Given a fleet manager logged into FleetWise, when they select the option to generate a Monthly Performance Report, then the system should produce a comprehensive report for all drivers within 5 minutes, summarizing their performance metrics and trends.

Driver Seeks Personal Performance Insights

Given a driver accesses their profile on FleetWise, when they view their Monthly Performance Report, then they should be able to see a breakdown of their individual scores, improvements, and areas needing attention, updated in real-time.

Fleet Manager Reviews Report for Training Needs

Given a fleet manager examines the Monthly Performance Report, when they identify drivers with declining scores, then the system must provide actionable insights for potential training programs tailored to those drivers' needs.

Management Analyzes Team Performance Trends

Given a fleet manager uses the analytics feature in FleetWise, when they filter the Monthly Performance Report by team, then the system should display comparative statistics for all teams, highlighting the top and bottom performers effectively.

Report Distribution via Email

Given a fleet manager generates a Monthly Performance Report, when the report is completed, then the system should automatically email the report to all relevant stakeholders within 10 minutes.

System Handles High Loads of Report Requests

Given multiple fleet managers are requesting Monthly Performance Reports simultaneously, when each manager submits a request, then the system should maintain an average response time of under 5 minutes without errors or crashes.

Feedback Mechanism for Report Revisions

Given a fleet manager receives their Monthly Performance Report, when they find discrepancies in the report, then there should be a clear and easily accessible feedback mechanism to report issues directly within the platform.

Feedback Loop Integration

The Feedback Loop Integration allows drivers to receive personalized feedback based on their Scorecard metrics. This feature ensures that drivers are aware of their achievements and areas needing improvement, fostering a continuous growth mentality. By encouraging reflective practices and consistent feedback, drivers can adapt their strategies in real-time, ultimately enhancing their overall performance.

Requirements

Personalized Feedback Notifications

User Story: As a driver, I want to receive personalized notifications about my performance feedback so that I can quickly adjust my driving strategies and improve my score.
Description: This requirement involves implementing a notification system that alerts drivers when feedback is available based on their Scorecard metrics. The notifications should be configurable so that drivers can select their preferred method of receiving feedback, whether through the mobile app, email, or SMS. This functionality ensures that drivers are not only receiving valuable insights but are also engaged in the process of self-improvement and performance enhancement. Timely alerts would encourage prompt attention to feedback, ultimately fostering a culture of continuous improvement within the fleet management system.
Acceptance Criteria: Driver receives feedback notification after completing a shift and logging into the mobile app, triggering their personalized Scorecard insights to appear on the dashboard.

Given a driver completes their shift and logs into the mobile app, When feedback is generated based on their Scorecard metrics, Then the driver receives a notification alerting them that feedback is available.

Drivers can choose their preferred method for receiving feedback notifications through the settings in the mobile app before the start of their shifts.

Given a driver accesses the notification settings in the mobile app, When they select their preferred feedback notification method (mobile app, email, or SMS), Then their preferences are saved successfully without errors.

A driver receives an SMS notification about performance feedback during their shift and checks it for updates.

Given a driver has selected SMS as their preferred notification method, When feedback becomes available based on their Scorecard metrics, Then the driver receives an SMS notification promptly.

A driver does not receive a notification because their settings are misconfigured; they need to troubleshoot to rectify this and ensure they receive future notifications.

Given a driver has set their notification preferences incorrectly, When they attempt to receive performance feedback, Then they are guided through troubleshooting steps to correct their notification settings.

The Feedback Loop Integration system aggregates multiple feedback instances so that a driver can view comprehensive feedback at once.

Given multiple feedback notifications are available based on different metrics, When the driver views their Scorecard on the app, Then all relevant feedback instances are displayed in a consolidated format.

Drivers can access historical feedback notifications to track their performance over time from within the mobile app.

Given a driver looks for historical feedback records in the mobile app, When they select the 'History' section, Then they are provided with a chronological log of all previous feedback notifications received.

Interactive Scorecard Dashboard

User Story: As a driver, I want to view my performance metrics on an interactive dashboard so that I can easily understand my progress and areas for growth.
Description: The Interactive Scorecard Dashboard will provide drivers with a visual representation of their performance metrics and feedback. It should include features such as graphs, color-coded performance indicators, and drill-down options for detailed views. This dashboard will not only showcase current scores but also historical performance trends, enabling drivers to track improvements over time. Such functionality is crucial for empowering drivers to take ownership of their performance, identify patterns, and work proactively on areas needing improvement. By providing clear insights, this dashboard enhances driver accountability and engagement.
Acceptance Criteria: Drivers access their Interactive Scorecard Dashboard after completing a trip to review their performance metrics for that ride.

Given that a driver has completed a trip, when they log into the FleetWise platform, then the Interactive Scorecard Dashboard displays the latest performance metrics including trip score, fuel efficiency, and speed adherence.

A driver wants to compare their performance metrics with the previous week to track improvements over time.

Given that the driver is on the Interactive Scorecard Dashboard, when they select the 'Compare to Last Week' option, then the dashboard displays side-by-side performance metrics for the current and previous week with clear visual indicators of improvement.

Drivers receive visual feedback on their Scorecard metrics that highlight areas needing improvement after every trip.

Given that a driver has accessed their Scorecard metrics, when their performance is below the target threshold in any category, then the dashboard highlights that metric in red and provides actionable tips for improvement.

A fleet manager wants to review historical performance trends of drivers to identify who requires additional support.

Given that a fleet manager accesses the Interactive Scorecard Dashboard for any driver, when they select the 'Historical Performance' option, then the dashboard shows a comprehensive chart of the driver’s performance over the last month with trends clearly indicated.

A driver has successfully improved their metrics and wishes to see the progress reflected in their dashboard.

Given that a driver has achieved improvements in their performance metrics, when they review their Scorecard Dashboard, then the dashboard updates to reflect these improvements with positive indicators and congratulatory messages.

Users with low performance scores receive a notification to encourage engagement and feedback.

Given that a driver's performance score is below the acceptable level, when they log into FleetWise, then they receive a notification prompting them to engage with their Scorecard Dashboard for tips on improvement.

Drivers utilize drill-down options to view specific metrics affecting their overall score.

Given that a driver is viewing their Interactive Scorecard Dashboard, when they click on a specific metric in the dashboard, then the system provides a drill-down view showing detailed data and trends for that metric, along with suitable improvement strategies.

Real-Time Feedback Updates

User Story: As a driver, I want my performance feedback to update in real-time so that I can immediately adjust my driving habits and improve my scores.
Description: To ensure that drivers are always working with the most current information, the Real-Time Feedback Updates requirement involves creating a system that updates driver feedback instantaneously as data is collected. This feature should integrate seamlessly with the vehicle tracking and telemetry systems, allowing for immediate reflection of performance metrics as they occur. By providing real-time insights, drivers can quickly respond to problems or adjust their behavior, leading to improved safety and efficiency on the road. This capability is crucial for fostering an agile and responsive fleet management environment.
Acceptance Criteria: Driver receives real-time feedback on performance metrics immediately after completing a trip.

Given the driver completes a trip, when the trip data is processed, then the driver receives updated feedback on their Scorecard metrics within 5 seconds of completion.

Drivers access feedback during their shift to adjust their driving behavior based on performance metrics.

Given the driver is on a shift, when they access their dashboard, then they can view real-time updates on their performance metrics without delay.

System integrates with telemetry data to deliver immediate insights on specific driving behaviors such as speeding or harsh braking.

Given the telemetry system captures data on driving behavior, when an event occurs, then the driver receives a prompt feedback notification within 3 seconds of the event.

Feedback loop includes visual indicators for performance trends over time to facilitate driver reflection.

Given the driver accesses their Scorecard, when they view the feedback, then they can see graphical representations of their performance trends for the last week, month, and quarter.

The Feedback Loop Integration adapts messages based on improvement areas to maintain driver engagement.

Given the driver has potential improvement areas, when the feedback is generated, then messages are tailored to address those areas and encourage driver adaptation.

Notifications are received by drivers on significant changes in their performance metrics affecting safety or efficiency.

Given a major performance metric change (e.g., repeated speeding), when the real-time feedback is processed, then the driver receives an immediate alert notifying them of the concern.

Training Recommendations

Training Recommendations leverages data from the Driver Efficiency Scorecard to suggest tailored training modules for each driver. By identifying specific areas for improvement—such as fuel efficiency techniques or safety protocols—Fleet Managers can assign targeted training that addresses concerns directly. This feature not only empowers drivers with the tools they need to improve but also supports the overall performance and safety objectives of the fleet.

Requirements

Data-Driven Training Insights

User Story: As a fleet manager, I want to receive tailored training recommendations based on each driver's performance data so that I can improve individual driver efficiency and safety effectively.
Description: The Data-Driven Training Insights requirement will enable FleetWise to analyze driver performance through a comprehensive Driver Efficiency Scorecard. It will aggregate key performance metrics such as fuel efficiency, adherence to safety protocols, and route optimization. By leveraging this data, FleetWise will identify specific training needs for individual drivers, ensuring that the recommendations are personalized and relevant. This feature will integrate seamlessly with the existing dashboard, allowing fleet managers to easily assign and track training modules. The expected outcome is enhanced driver performance and safety, ultimately leading to improved fleet efficiency and reduced operational costs.
Acceptance Criteria: Fleet Manager views the Driver Efficiency Scorecard to identify underperforming drivers requiring additional training.

Given the Fleet Manager is logged into FleetWise, when they access the Driver Efficiency Scorecard, then they can view a list of drivers ranked by their performance metrics, including fuel efficiency and safety adherence.

Fleet Manager assigns training modules to drivers based on their specific performance metrics identified in the Driver Efficiency Scorecard.

Given a driver has been identified as underperforming, when the Fleet Manager selects the driver from the scorecard, then they can assign targeted training modules related to fuel efficiency or safety protocols.

A driver completes a training module and updates their performance metrics in the Driver Efficiency Scorecard.

Given a driver completes a training module, when the driver submits their training completion, then the Driver Efficiency Scorecard reflects the updated performance metrics within 24 hours.

Fleet Manager reviews the impact of assigned training on driver performance over a specified period.

Given training has been assigned, when the Fleet Manager views the Driver Efficiency Scorecard after 30 days, then they can see a positive change in performance metrics for the trained drivers.

Fleet Manager receives automated notifications for driver performance and training recommendations.

Given the performance data is analyzed by FleetWise, when a driver's performance falls below acceptable thresholds, then the Fleet Manager receives an automated notification suggesting specific training recommendations.

Drivers access their personalized training recommendations and training progress via the FleetWise dashboard.

Given a driver logs into their FleetWise account, when they navigate to the training recommendations section, then they see a list of assigned training modules and progress tracking.

Training Module Assignment

User Story: As a fleet manager, I want to assign specific training modules to drivers based on their performance metrics so that I can address their weaknesses and enhance overall fleet performance.
Description: The Training Module Assignment requirement will allow fleet managers to directly assign training modules to drivers based on the insights derived from their Driver Efficiency Scorecard. This functionality must support various training formats, including online courses, workshops, and in-vehicle training sessions. The assignment process should be user-friendly, enabling fleet managers to quickly select and schedule training sessions for specific drivers or groups. Integration with calendar tools will ensure reminders and follow-ups are automated, facilitating better attendance and engagement in training activities. This feature aims to enhance training effectiveness and accountability within the fleet.
Acceptance Criteria: Assigning Training Modules to a Driver Based on Their Efficiency Score.

Given a fleet manager has accessed the Driver Efficiency Scorecard, when they select a specific driver and choose a training module, then the module should be successfully assigned to that driver with a confirmation message displayed.

Scheduling Multiple Training Modules for a Group of Drivers.

Given a fleet manager has identified a group of drivers to train, when they select multiple training modules and schedule them, then all selected modules should be assigned to each driver in the group with automated calendar invitations sent.

Changing a Training Module Assignment for a Driver.

Given a fleet manager has previously assigned a training module to a driver, when they decide to change the module and reassign it, then the new module should replace the old assignment and an updated confirmation should be sent to the driver.

Attendance Tracking for Completed Training Sessions.

Given a fleet manager wants to track attendance, when training sessions are completed, then attendance records should be automatically updated in the system, showing which drivers attended and which did not.

Integration with Calendar Tools for Automated Reminders.

Given a driver has a training module scheduled, when the training date approaches, then an automated reminder should be sent to the driver via their calendar tool, ensuring they are informed about the upcoming training.

Evaluating Training Effectiveness Post-Completion.

Given a driver has completed a training module, when a post-training evaluation is conducted, then the system should collect feedback and update the Driver Efficiency Scorecard based on the driver's performance improvement metrics.

Providing Fleet Managers with a Summary of Training Assignments.

Given a fleet manager wishes to review training assignments, when they access the summary report feature, then they should see a comprehensive list of all training modules assigned, including completion status for each driver.

Progress Tracking Dashboard

User Story: As a fleet manager, I want to track the training progress of drivers visually so that I can assess the impact of training and make informed decisions on future training needs.
Description: The Progress Tracking Dashboard requirement will provide fleet managers with a visual representation of drivers' progress through their assigned training modules. It will showcase completion rates, assessment scores, and time spent on training activities, allowing managers to monitor the effectiveness of training initiatives over time. The dashboard will integrate with the existing FleetWise interface, ensuring consistent navigation and usability. This feature will enable timely interventions if drivers are struggling and allow for better planning of future training efforts, driving continuous improvement within the fleet.
Acceptance Criteria: Fleet Manager Reviews Driver Training Progress on Dashboard

Given that a fleet manager accesses the Progress Tracking Dashboard, when they select a specific driver, then the dashboard displays the driver's completion rates, assessment scores, and time spent on training activities in a clear and organized manner.

Automation of Training Module Completion Updates

Given that a training module is completed by a driver, when the completion is recorded in the system, then the Progress Tracking Dashboard should automatically update to reflect the new completion status of that module within 5 minutes.

Visual Representation of Overall Fleet Training Progress

Given that a fleet manager is on the Progress Tracking Dashboard, when they view the overall progress of all drivers in the fleet, then the dashboard should display an aggregate completion percentage and highlight any drivers who are below the expected training benchmarks.

Assessment Score Tracking Over Time

Given that a fleet manager accesses a driver’s individual progress report, when they review the assessment scores, then they should see a history of scores for each completed training module over the past six months.

Notification for Underperforming Drivers

Given that a driver has a completion rate below 70% for their assigned training modules, when a fleet manager views the Progress Tracking Dashboard, then they should receive a notification alerting them to the driver’s underperformance and suggesting a follow-up action.

User-Friendly Interface Consistency

Given that the Progress Tracking Dashboard is integrated into the FleetWise platform, when fleet managers navigate to the new dashboard feature, then they should find the user interface consistent with existing FleetWise design elements and easily accessible from the main navigation.

Feedback and Evaluation System

User Story: As a driver, I want to provide feedback on training modules so that I can help improve the training experience for myself and my colleagues.
Description: The Feedback and Evaluation System requirement will facilitate the collection of feedback from drivers on the training modules they complete. This feature will include surveys and assessments designed to gather insights on module relevance, content quality, and perceived effectiveness. FleetWise will analyze this data to provide fleet managers with actionable insights, enabling them to refine training content and methods continuously. By ensuring that the training aligns with drivers’ needs and expectations, this requirement aims to enhance driver satisfaction and training efficacy.
Acceptance Criteria: Driver completes a training module and receives an automated feedback request immediately after completion.

Given that a driver completes a training module, when the feedback request is sent, then the driver should receive an email notification with a link to the feedback survey within 5 minutes.

Fleet manager reviews the feedback data submitted by drivers after they complete training modules.

Given that multiple drivers have submitted feedback, when the fleet manager accesses the feedback dashboard, then the manager should see a summary report reflecting the average ratings and comments from all drivers for each training module.

A driver submits their feedback on a training module they completed.

Given a driver is on the feedback submission page, when the driver fills out the survey and submits it, then the system should confirm the submission and store the feedback in the database without errors.

Fleet Manager receives a report on feedback trends over the last quarter.

Given that the reporting period is over, when the fleet manager requests the quarterly feedback report, then the system should generate and display a report that highlights trends in driver satisfaction ratings over the previous three months in both graphical and text format.

Feedback on a training module includes suggestions for improvements by drivers.

Given that drivers submit their feedback, when at least 5% of respondents mention suggestions for improvements, then those suggestions should be compiled and flagged for review by the training content team within 2 business days.

Training content is evaluated based on the feedback collected from drivers.

Given the collected feedback after a training module, when the content evaluation is run, then the system should calculate a relevance score based on driver ratings and generate insights for content updates if the score is below a predetermined threshold.

Fleet managers access feedback analytics to identify module effectiveness.

Given that feedback analytics are available, when the fleet manager filters the feedback by training module, then they should be able to see the effectiveness percentage along with a breakdown of positive and negative comments clearly displayed per module.

Compliance Tracking and Reporting

User Story: As a fleet manager, I want to ensure that all training sessions are documented for compliance purposes so that I can meet regulatory standards and maintain safety within the fleet.
Description: The Compliance Tracking and Reporting requirement will ensure that all training activities are documented and reported for compliance purposes. This feature will automatically log completed training sessions, attendance records, and feedback submissions, creating a comprehensive training history for each driver. FleetWise will generate compliance reports that can be easily accessed by fleet managers for audits and regulatory requirements. This requirement is crucial for maintaining industry standards and demonstrating commitment to safety and continuous improvement within the fleet.
Acceptance Criteria: Fleet Manager accesses the Compliance Tracking and Reporting feature to review the training history for a specific driver before a scheduled audit.

Given the Fleet Manager is logged in to FleetWise, When they navigate to the Compliance Tracking section and select a driver, Then the system should display a complete training history that includes all completed training sessions, attendance records, and feedback submissions, with timestamps.

A fleet manager assigns a new training module based on the Driver Efficiency Scorecard results for an individual driver.

Given the Fleet Manager identifies an area for improvement in the Driver Efficiency Scorecard, When they select a training module to assign to the driver, Then the system should log the assignment, notify the driver, and include it in the driver's training history.

A fleet manager generates compliance reports at the end of the month to prepare for an upcoming regulatory audit.

Given the Fleet Manager is in the Reports section of FleetWise, When they select the compliance report generation option for the previous month, Then the system should produce a report that details all completed training activities, attendance, and feedback for all drivers in a downloadable format.

The Compliance Tracking and Reporting feature is used to validate that feedback from training sessions is properly logged within the system.

Given a training session has been completed, When the trainer submits feedback for the session, Then the feedback must be logged in the system under the corresponding driver's training history and be accessible within 24 hours.

An external auditor reviews the compliance reports generated by FleetWise for accuracy during an audit.

Given the auditor has access to the compliance reports, When they view the report for a specific driver, Then the report should match the training history in the system with no discrepancies in reported training sessions or feedback records.

FleetWise automatically updates training history when a driver completes a training module.

Given a driver has completed a training module, When the completion status is updated in the system, Then the driver's training history should automatically reflect this update within 1 hour.

AI-Powered Training Recommendations

User Story: As a fleet manager, I want to receive AI-driven recommendations for training modules so that I can proactively enhance driver performance and prevent operational issues.
Description: The AI-Powered Training Recommendations requirement will utilize machine learning algorithms to analyze historical training data and driver performance trends within FleetWise. By identifying correlations and patterns, the system will automatically generate personalized training module suggestions for drivers. This proactive approach will enhance the training process by anticipating drivers' needs before issues arise, contributing to ongoing skill development and operational efficiency. Integration with the existing analytics tools in FleetWise will ensure seamless functionality and data integrity.
Acceptance Criteria: User Accessing AI-Powered Training Recommendations

Given a fleet manager is logged into the FleetWise platform, when they navigate to the Training Recommendations section, then they should see a personalized list of suggested training modules for each driver based on their Driver Efficiency Scorecard data.

Training Module Suggestions Evaluation

Given a driver has completed a set of training modules, when the AI system analyzes their performance data again, then it should update the suggested training modules based on improvements and remaining gaps in skills.

Integration with Existing Analytics Tools

Given the AI-Powered Training Recommendations feature is implemented, when the analytics tools in FleetWise are accessed, then the training recommendations should seamlessly integrate and display in the analytics dashboard without errors.

Driver Feedback on Training Effectiveness

Given a driver has completed their assigned training modules, when they provide feedback on the usefulness of the training, then feedback should be recorded and used to refine future training suggestions.

Real-Time Suggestions Based on Performance Metrics

Given the AI system is running, when a driver's performance metrics reach a predefined threshold indicating a need for improvement, then the system should automatically suggest additional training modules to the fleet manager.

Report Generation on Training Recommendations Impact

Given the AI-Powered Training Recommendations have been used for at least a month, when a manager generates a report, it should show quantifiable improvements in driver performance correlated with the training recommendations.

Peer Comparison Metrics

Peer Comparison Metrics enable drivers to see how their performance stacks up against their peers within the fleet. By understanding their rankings in areas such as fuel efficiency, safety scores, and overall efficiency, drivers can gain insights into best practices and techniques from high-performing colleagues. This healthy competition fosters an environment of growth and improvement, driving down costs and enhancing safety across the fleet.

Requirements

Performance Benchmarking

User Story: As a fleet driver, I want to see how my performance compares to my peers so that I can identify areas for improvement and adjust my driving habits accordingly.
Description: The Performance Benchmarking requirement allows drivers to access detailed metrics that compare their fuel efficiency, safety scores, and overall operational efficiency against their peers. This feature will aggregate data from various fleet activities, establish baselines for performance, and provide insights into high-performing peers. It will facilitate direct comparisons across different metrics, enabling drivers to identify areas for improvement and adopt best practices from their colleagues. This requirement is critical for fostering a culture of accountability and improvement within the fleet, driving down operational costs and enhancing safety by encouraging drivers to strive for excellence in their performance.
Acceptance Criteria: Drivers access peer comparison metrics from their mobile app before starting their shift.

Given a driver is logged into the FleetWise app, when they navigate to the Peer Comparison Metrics section, then they should see their overall ranking, fuel efficiency score, and safety scores compared to their peers.

Drivers receive real-time notifications about performance benchmarks after each trip.

Given a driver has completed their trip, when the performance benchmarking data is processed, then the driver should receive a notification detailing their scores and how they compare to their peers.

Fleet managers analyze overall fleet performance using the aggregated benchmarking data.

Given a fleet manager accesses the FleetWise dashboard, when they view the Performance Benchmarking section, then they should see a visual representation of fuel efficiency and safety score metrics across all drivers, sortable by various parameters.

Drivers set personal improvement goals based on peer comparison metrics.

Given a driver views their peer comparison metrics, when they select an area for improvement, then they should be able to set a personalized goal with a time frame for achieving it, which will be reflected in their performance dashboard.

Drivers can view historical performance data in relation to their peers for analysis.

Given a driver accesses their performance history, when they select a specific timeframe, then they should see charts showing their performance trends alongside their peers' performance metrics for the same period.

Training materials are updated based on insights gained from peer performance comparisons.

Given the data from peer comparison metrics is collected and analyzed, when a new set of training materials is developed, then the training guidelines should reflect best practices identified from top-performing drivers.

Drivers receive tips and best practices from high-performing peers through the app.

Given a driver views their performance comparison, when they click on the profiles of top-performing peers, then they should see a list of top tips and practices shared by those peers.

Dynamic Notifications

User Story: As a fleet driver, I want to receive real-time notifications about my performance ranking so that I can make immediate adjustments and stay competitive with my peers.
Description: The Dynamic Notifications requirement involves creating a real-time alert system that keeps drivers informed about their ranking changes in peer comparison metrics. This system will send notifications to drivers when they surpass or fall below certain thresholds, prompting immediate self-assessment and engagement with their driving metrics. Alerts can be tailored based on individual preferences, allowing drivers to focus on metrics that matter most to them, such as fuel efficiency or safety ratings. This feature promotes continuous performance enhancement by ensuring that drivers remain aware of their standings and receive timely encouragement or guidance based on their performance fluctuations.
Acceptance Criteria: Driver receives a notification when their fuel efficiency ranking improves after a recent trip.

Given a driver has completed a trip, when their fuel efficiency ranking improves, then the driver should receive a notification indicating the new ranking and encouraging continued improvement.

Driver receives an alert when their safety score drops below a predefined threshold.

Given a driver’s safety score has dropped below the established threshold, when the driver logs into the application, then they should see an alert notifying them of the score drop and providing tips for improvement.

Drivers can customize the types of notifications they wish to receive about their performance metrics.

Given a driver is in their settings, when they select the metrics they want to receive alerts for, then the system should save these preferences and only notify the driver based on these selected metrics.

Notifications are sent in real-time based on ranking changes in peer comparison metrics.

Given there are updates to a driver’s ranking in peer comparison metrics, when the change occurs, then an immediate notification should be sent to the driver reflecting the change.

Drivers can view a history of their notifications related to performance metrics.

Given a driver accesses the notification history section, when they view the notifications, then they should see a chronological list of all notifications received regarding their performance metrics.

Notifications include actionable insights or tips for performance improvement based on ranking changes.

Given a driver receives a notification about a ranking change, when they read the notification, then it should include at least one actionable insight or tip tailored to their performance metrics.

Leaderboard Visualization

User Story: As a fleet driver, I want to see a leaderboard that ranks my performance against my peers so that I can understand where I stand and motivate myself to improve.
Description: The Leaderboard Visualization requirement encompasses the design of a visually engaging leaderboard that ranks drivers based on key performance metrics, including fuel efficiency, safety scores, and overall efficiency. This leaderboard will be accessible through the FleetWise dashboard, providing a clear visual representation of each driver’s standing relative to their peers. It will encourage friendly competition among drivers and foster a supportive community focused on continuous improvement. The leaderboard will dynamically update in real time, ensuring that drivers have the most current information about their performance and that of their colleagues, enhancing motivation and engagement.
Acceptance Criteria: Display of Driver Rankings in Real-Time

Given that I am a driver logged into the FleetWise dashboard, when I navigate to the leaderboard section, then I should see my current ranking based on my fuel efficiency, safety scores, and overall efficiency compared to my peers, refreshing every 5 seconds.

Leaderboard Accessibility on Dashboard

Given that I am a registered user of FleetWise, when I access the dashboard, then I should clearly see the leaderboard option available in the navigation menu without any broken links or errors.

Filtering Options for Metrics on the Leaderboard

Given that I am viewing the leaderboard, when I select a filtering option for specific metrics (e.g., fuel efficiency, safety scores), then the leaderboard should update dynamically to display rankings based only on the selected metric.

Performance Trends Visualization

Given that I am viewing my individual ranking on the leaderboard, when I hover over my name, then I should see a tooltip displaying my performance trends for the past month, including changes in fuel efficiency and safety scores.

User Notifications for Ranking Changes

Given that my ranking on the leaderboard changes due to new data, when that change occurs, then I should receive a notification on the FleetWise dashboard alerting me of my new ranking and the change details.

Leaderboard Display Adaptation for Mobile Devices

Given that I am accessing FleetWise on a mobile device, when I navigate to the leaderboard, then it should be fully responsive, maintaining usability and readability without layout issues across all screen sizes.

Comparison Against Peer Groups

Given that I am a driver from a specific region, when I view the leaderboard, then I should have the option to compare my metrics against only those drivers from my region, seamlessly switching to a regional leaderboard.

Performance Insights Reports

User Story: As a fleet driver, I want to receive regular performance reports so that I can track my progress and make informed decisions to enhance my driving efficiency.
Description: The Performance Insights Reports requirement establishes a reporting feature that provides drivers with comprehensive analysis and insights into their performance metrics over time. These reports will allow drivers to track their progress, observe trends, and evaluate the effectiveness of any changes they have implemented in their driving habits. Reports will be generated on a weekly/monthly basis and can be accessed via the FleetWise dashboard. Additionally, these insights will highlight the drivers' strengths and areas where improvement is needed, guiding future behavior and decisions. This requirement is instrumental in promoting data-driven decisions among drivers and supporting sustained improvements in fleet operations.
Acceptance Criteria: Drivers can access their Performance Insights Reports directly from the FleetWise dashboard.

Given that a driver is logged into their FleetWise account, when they navigate to the 'Performance Insights' section, then they should be able to see and select weekly or monthly reports for viewing.

Performance Insights Reports accurately display individual drivers' metrics over time.

Given a driver selects a Performance Insights Report for a specific week or month, when the report is generated, then it must include average fuel efficiency, safety scores, and overall efficiency metrics for that period.

Drivers receive notifications for new Performance Insights Reports.

Given that a new Performance Insights Report has been generated, when the report is available, then the driver should receive an email notification and a notification within the FleetWise dashboard.

The Performance Insights Reports provide actionable insights for improvements.

Given a driver views their Performance Insights Report, when they look at the highlighted strengths and areas for improvement, then the report should include specific recommendations based on their performance metrics.

Historical data is accurately reflected in Performance Insights Reports.

Given that the driver selects historical reports, when they access reports from previous weeks or months, then the metrics displayed must accurately reflect the data from those specific timeframes.

The report generation process runs without errors under different loads.

Given that multiple drivers are requesting their Performance Insights Reports simultaneously, when the reports are generated, then the system should produce all reports within a 5-minute window without any errors.

Performance Insights Reports are visually intuitive and easy to understand.

Given that a driver opens their Performance Insights Report, when they view the report, then it should use clear charts and graphs to represent metrics, making it easy to understand their performance at a glance.

Best Practices Repository

User Story: As a fleet driver, I want access to a repository of best practices from my peers so that I can learn effective techniques to enhance my driving performance.
Description: The Best Practices Repository requirement involves creating a centralized collection of best practices and success stories shared by high-performing drivers within the fleet. This repository will include tips, techniques, and strategies that have proven effective in improving metrics such as fuel consumption and safety ratings. It will serve as a resource for all drivers, promoting knowledge sharing and learning from peers. The repository will be accessible through the FleetWise platform and can be updated regularly by drivers submitting their own tips and experiences. This requirement is key to building a collaborative environment where drivers can learn from one another and continuously improve their performance.
Acceptance Criteria: As a driver using the FleetWise platform, I want to access the Best Practices Repository so that I can learn from the tips and strategies submitted by my peers to improve my driving performance.

Given that the driver is logged into the FleetWise platform, when they navigate to the Best Practices Repository, then they should see a list of shared tips and strategies from other drivers, categorized by fuel efficiency and safety ratings.

As a driver, I want to submit my best practices to the repository so that I can contribute to my peers' learning and improvement in their driving performance.

Given that the driver is logged into the FleetWise platform, when they submit a tip to the Best Practices Repository, then their submission should be successfully added and visible to all other drivers within 24 hours.

As a fleet manager, I want to track the engagement with the Best Practices Repository to ensure its effectiveness in promoting driver improvements across the fleet.

Given the fleet manager is accessing the administrative dashboard, when they view the Best Practices Repository metrics, then they should see the number of submissions, views, and feedback ratings on each tip over the last month.

As a driver, I want to be able to filter the tips in the Best Practices Repository by different categories to quickly find relevant information.

Given that the driver is on the Best Practices Repository page, when they select a category filter, then the displayed tips should refresh to show only those that match the selected category (e.g., fuel efficiency, safety).

As a driver, I want to provide feedback on the tips in the Best Practices Repository so that I can help improve the content's quality and relevance.

Given the driver is viewing a tip in the Best Practices Repository, when they submit feedback on that tip, then the feedback should be recorded and displayed to the tip's author within the platform.

As a driver, I want to receive notifications when new tips are added to the Best Practices Repository to ensure I don't miss valuable information.

Given the driver has opted in for notifications, when a new tip is submitted to the Best Practices Repository, then the driver should receive an email notification summarizing the new addition.

Emissions Trend Tracker

Emissions Trend Tracker provides users with a visual representation of emissions data over time, enabling Fleet Operations Managers to identify patterns and assess the impact of various initiatives. By comparing emissions trends against benchmarks, users can make informed decisions to improve sustainability efforts effectively.

Requirements

Real-Time Emissions Dashboard

User Story: As a Fleet Operations Manager, I want to see real-time emissions data on a dashboard so that I can quickly assess my fleet's environmental impact and make informed decisions on sustainability initiatives.
Description: The Real-Time Emissions Dashboard requirement entails creating an interactive visual interface that displays current emissions data from all fleet vehicles. This dashboard will allow Fleet Operations Managers to monitor emissions metrics instantly, compare them with historical data, and highlight areas for improvement. By integrating live data feeds from the fleet’s vehicles, this dashboard ensures that the information is always up to date, fostering more responsive management of emissions and compliance with regulations. The implementation of this dashboard is crucial for enabling quick decision-making regarding emissions reduction initiatives and enhancing overall sustainability efforts within fleet operations.
Acceptance Criteria: Real-time emissions monitoring for fleet vehicles during peak operational hours.

Given the dashboard is loaded, when the user selects 'Real-Time Data', then the dashboard should display current emissions levels for each vehicle in the fleet, updated every minute.

Comparison of current emissions data against historical benchmarks.

Given the real-time data is being displayed, when the user selects a benchmark timeframe (e.g., last month, last quarter), then the dashboard should visually compare current emissions against the selected historical data with clear graphics indicating performance changes.

Identifying vehicles with emissions exceeding regulatory limits.

Given the real-time emissions dashboard is active, when the emissions of any vehicle exceed the defined regulatory limit, then the dashboard should highlight that vehicle in red and provide an alert message to the user.

User interaction and data refresh mechanism on the dashboard.

Given the user is viewing the emissions dashboard, when the user clicks the 'Refresh' button, then the dashboard should reload the latest emissions data without refreshing the entire page, ensuring a smooth user experience.

Integration of predictive analytics for emissions reduction opportunities.

Given the user is analyzing emissions trends, when predictive analytics are enabled, then the dashboard should display predicted future emissions based on current data trends and suggested reduction initiatives, allowing for proactive management.

User access control for the emissions dashboard.

Given the various user roles in the fleet operations team, when any user logs into the system, then the dashboard should display data according to their access level, ensuring sensitive data is only visible to authorized personnel.

Export functionality for emissions report generation.

Given the dashboard is displaying the emissions data, when the user selects 'Export Report', then the system should generate a downloadable report in CSV format that includes current and historical emissions metrics.

Emissions Trend Analysis Tool

User Story: As a Fleet Operations Manager, I want to analyze emissions trends over time to understand their impact on our sustainability efforts and determine effective operational changes.
Description: The Emissions Trend Analysis Tool requirement is designed to facilitate comprehensive analysis of emissions data over specific periods, allowing Fleet Operations Managers to identify significant trends and patterns. This tool will enable users to compare historical emissions data against current performance and established benchmarks, providing contextual insights that can guide operational changes. By employing analytical techniques and visualization strategies, this feature will help decision-makers understand the causes of emissions fluctuations, thereby enabling targeted interventions to improve sustainability. Integration with existing data sources will be necessary to ensure accuracy and reliability of the analyses provided by this tool.
Acceptance Criteria: Fleet Operations Manager views the Emissions Trend Analysis Tool to analyze emissions data from the last year to identify trends and patterns.

Given the Fleet Operations Manager is logged into FleetWise, when they navigate to the Emissions Trend Analysis Tool and select the last year's data, then they should see a visual representation of emissions over the selected period, including trend lines and comparison against benchmarks.

A Fleet Operations Manager compares historical emissions performance with the current quarter's data to assess improvements in sustainability metrics.

Given the Fleet Operations Manager has access to both historical and current emissions data, when they select the comparison option within the Emissions Trend Analysis Tool, then the tool should display side-by-side visual comparisons with key metrics highlighted for easy analysis.

A user exports emissions trend data for external reporting purposes.

Given the Fleet Operations Manager is using the Emissions Trend Analysis Tool, when they select the export option, then the tool should generate a downloadable report in CSV format containing all the displayed emissions data, including trends and benchmark comparisons.

The tool integrates with existing data sources to provide real-time emissions data for analysis.

Given that the Emissions Trend Analysis Tool is connected to the data sources, when the data is updated live, then the tool should automatically refresh to reflect the most current emissions data without requiring a manual refresh.

Fleet Operations Manager utilizes the tool to set specific sustainability targets and monitors progress towards those targets over time.

Given the Fleet Operations Manager has set sustainability targets in the Emissions Trend Analysis Tool, when they view their dashboard, then the tool should display progress indicators showing the percentage of target achievement relative to historical data.

Automated Compliance Reporting

User Story: As a Fleet Operations Manager, I want automated emissions compliance reports so that I can ensure we meet regulatory requirements without spending excessive time on manual reporting.
Description: The Automated Compliance Reporting requirement focuses on generating and distributing emissions compliance reports automatically based on the latest data collected from the fleet. This feature will streamline the reporting process by compiling relevant emissions data into a standardized format required for regulatory compliance. Fleet Operations Managers will benefit from reduced manual effort and time spent on preparing reports, as the system will automatically track compliance deadlines and dispatch reports to designated stakeholders. This capability not only ensures adherence to legal requirements but also enhances accountability and transparency in emissions reporting.
Acceptance Criteria: Automated Compliance Reporting for Monthly Emissions Review

Given the emissions data is available for the month, when the report generation is triggered, then the system should compile and distribute a standardized emissions compliance report to all designated stakeholders by the first business day of the following month.

Automated Alert for Compliance Deadline

Given that a compliance reporting deadline is approaching, when the deadline is within 7 days, then the system should send automated alerts to all designated stakeholders to remind them of the upcoming report submission date.

Validation of Report Format Against Regulatory Standards

Given the emissions compliance report is generated, when the report is reviewed, then it should meet all specified regulatory format requirements without any errors or omissions.

Tracking and Logging of Report Dispatch

Given the emissions compliance report has been generated, when the report is sent to stakeholders, then the system should log the dispatch timestamp and recipient information for audit purposes.

Ease of Access for Historical Compliance Reports

Given a user is logged into the FleetWise platform, when they request access to historical compliance reports, then they should be able to view and download reports from the past three years without errors.

Integration with Emissions Data Sources

Given the emissions data from various sources is available, when the report is generated, then the system should automatically pull the latest data from all integrated sources without manual intervention.

User Role-Based Access Control for Reports

Given different levels of user access, when a user attempts to access the compliance reports, then they should only be able to view or download reports based on their assigned role permissions.

Custom Benchmarking Capability

User Story: As a Fleet Operations Manager, I want to create custom benchmarks for emissions so that I can measure our performance against tailored standards that reflect our sustainability goals.
Description: The Custom Benchmarking Capability requirement allows users to set and modify performance benchmarks against which emissions data can be measured. This feature will empower Fleet Operations Managers to tailor benchmarks based on organizational goals, historical performance, and industry standards, thus enabling more relevant evaluations of their fleet's emissions. By facilitating deeper comparisons over time, this capability helps users recognize successes and areas requiring further attention in their sustainability efforts. Integration with historical emissions data and user-defined criteria will be essential for this feature's implementation.
Acceptance Criteria: Setting a Custom Benchmark for Emissions Management

Given that the Fleet Operations Manager is logged into the FleetWise platform, when they navigate to the Custom Benchmarking section and input a new benchmark using relevant criteria, then the benchmark should be saved successfully and displayed in the benchmarks list.

Comparing Emissions Data Against Custom Benchmarks

Given that a custom benchmark is set, when the Fleet Operations Manager views the Emissions Trend Tracker dashboard, then they should see a clear comparison of current emissions data against the custom benchmark for the selected time period.

Modifying an Existing Custom Benchmark

Given that a Fleet Operations Manager has created a custom benchmark, when they choose to edit the benchmark and save the changes, then the updated benchmark should overwrite the previous one and reflect the new values in the dashboard.

Removing a Custom Benchmark

Given that a Fleet Operations Manager has multiple custom benchmarks, when they select a benchmark to delete and confirm the deletion, then the benchmark should be removed from the benchmarks list and no longer impact the emissions comparisons.

Viewing Historical Emissions Data with Benchmarks

Given that custom benchmarks are set, when the Fleet Operations Manager accesses the historical emissions data report, then they should see the historical data alongside the relevant benchmarks for the specified periods of time.

Using Industry Standards for Custom Benchmarks

Given that the Fleet Operations Manager wishes to align benchmarks with industry standards, when they access the benchmarks section, then they should be able to import existing industry benchmarks into the system as a reference for creating custom benchmarks.

Generating Insights Based on Benchmark Comparisons

Given established custom benchmarks, when the Fleet Operations Manager runs an insights report, then the system should generate actionable insights based on the comparison of emissions data against the custom benchmarks, highlighting areas for improvement and successes.

Eco-Friendly Benchmarking

Eco-Friendly Benchmarking allows Fleet Operations Managers to compare their fleet's environmental performance against industry standards and competitors. This feature empowers users to identify areas for improvement, set realistic sustainability goals, and remain competitive in an increasingly eco-conscious market.

Requirements

Environmental Impact Metrics

User Story: As a Fleet Operations Manager, I want to access detailed environmental impact metrics so that I can assess my fleet's performance and identify areas for improvement in sustainability.
Description: The Environmental Impact Metrics requirement focuses on integrating a comprehensive set of measurement tools within FleetWise that allow users to assess various environmental factors impacting their fleet operations. This includes tracking CO2 emissions, fuel consumption rates, and overall energy efficiency. By providing clear, quantifiable data on these metrics, Fleet Operations Managers can not only measure their fleet's environmental performance against set standards but can also identify actionable insights for improvement. The effective implementation of this requirement will enhance the product's analytics capabilities, aligning with the Eco-Friendly Benchmarking feature, and aiding transportation companies in their sustainability endeavors.
Acceptance Criteria: Fleet Operations Manager uses the Environmental Impact Metrics feature to assess their fleet's CO2 emissions over the past quarter to comply with sustainability reporting requirements.

Given the Fleet Operations Manager has access to the Environmental Impact Metrics feature, when they select the CO2 emissions report for the last quarter, then the system should display accurate CO2 emission data based on vehicle usage and fuel type.

A Fleet Operations Manager wants to compare their fleet's fuel consumption rates against industry standards to identify improvement areas.

Given the Fleet Operations Manager selects the fuel consumption benchmarking option, when they input their current fuel consumption data, then the system should provide a comparison graph against industry standards.

A Fleet Operations Manager needs to track energy efficiency metrics over time to evaluate progress towards sustainability goals.

Given the Fleet Operations Manager has accessed the energy efficiency metrics, when they request metrics for the last six months, then the system should provide a detailed report showing trends in energy efficiency, including a visual representation of the data.

Fleet Operations Manager identifies a sudden spike in CO2 emissions and needs to analyze the contributing factors for action.

Given the Fleet Operations Manager accesses the CO2 emissions data, when they click on the spike in emissions, then the system should display relevant historical data and information about vehicle usage during that timeframe to aid analysis.

A Fleet Operations Manager is preparing for a sustainable fleet audit and needs access to comprehensive environmental performance metrics.

Given the Fleet Operations Manager specifies a date range for the audit period, when they request the environmental performance metrics summary, then the system should compile and show all relevant environmental data, including CO2 emissions, fuel consumption rates, and energy efficiency metrics.

The Fleet Operations Manager receives a notification about industry benchmarks being updated and wants to review the new standards and metrics.

Given the Fleet Operations Manager is notified of updated industry benchmarks, when they access the Eco-Friendly Benchmarking feature, then the system should present the updated benchmarks alongside the company’s current performance metrics for easy comparison.

The Fleet Operations Manager wants to set new sustainability targets based on the fleet's current performance metrics.

Given the Fleet Operations Manager has accessed the Environmental Impact Metrics, when they analyze current performance data, then the system should allow them to input new sustainability targets and generate a report highlighting target areas and the expected impact on overall fleet performance.

Competitor Comparison Tool

User Story: As a Fleet Operations Manager, I want to compare my fleet's environmental performance against competitors so that I can identify areas where I can improve and stay competitive in the market.
Description: The Competitor Comparison Tool requirement enables FleetWise users to benchmark their fleet's environmental performance against key competitors in the industry. This feature should aggregate relevant data from various competitors, providing analytical insights that highlight strengths and weaknesses in sustainability metrics. By allowing users to compare their fleet operations with those of competitor fleets, this tool will serve as an engaging way to better inform strategy development and operational adjustments. This requirement emphasizes the competitive aspect of sustainability, encouraging users to adopt best practices and innovate in their fleet management operations.
Acceptance Criteria: Fleet Operations Manager identifies the need to compare their fleet's environmental performance with key competitors to drive strategic decisions and sustainability improvements.

Given the user accesses the Competitor Comparison Tool, When the user selects competitors to benchmark against and submits the request, Then the tool should display a comparative report of the fleet's environmental metrics against selected competitors.

Fleet Operations Manager wants to set realistic sustainability goals based on competitor performance.

Given the comparative report is generated, When the user reviews the metrics, Then they should be able to identify at least three specific areas for improvement compared to competitors.

Fleet Operations Manager requires insights into which sustainability practices are driving competitors' performance.

Given the comparative report contains industry benchmark data, When the user examines the report, Then the tool should provide recommendations for best practices based on the competitor's performance.

Fleet Operations Manager needs to share insights from the Competitor Comparison Tool with the management team.

Given the comparative report is available, When the user selects the option to export the report, Then the tool should allow the user to download the report in PDF and Excel formats.

Fleet Operations Manager seeks to track changes in their fleet's performance over time against competitors.

Given the user has accessed the Competitor Comparison Tool multiple times, When they view historical comparisons, Then the tool should show a trend analysis of sustainability metrics for both their fleet and competitors.

Fleet Operations Manager wants to customize the metrics displayed in the comparison report based on their priorities.

Given the user is on the settings page for the Competitor Comparison Tool, When the user selects metrics to include or exclude from the report, Then the comparison report should reflect the user's selections in the next generated report.

Sustainability Goal Setting

User Story: As a Fleet Operations Manager, I want to set specific sustainability goals so that I can effectively track progress and motivate my team towards achieving better environmental performance.
Description: The Sustainability Goal Setting feature will allow users to define, track, and manage their sustainability goals directly within FleetWise. This requirement will facilitate the establishment of specific, measurable, achievable, relevant, and time-bound (SMART) goals related to environmental metrics. Users will have the capability to set these targets based on insights derived from their current performance metrics and the competitive landscape facilitated by previous requirements. Through a visual dashboard, users can monitor progress towards their goals, which will not only drive accountability but also promote proactive sustainability initiatives within their fleet operations.
Acceptance Criteria: Fleet Operations Managers use the Sustainability Goal Setting feature to define a new environmental target based on the insights from their current fleet performance metrics.

Given the user is logged into the FleetWise platform, when they navigate to the Sustainability Goal Setting dashboard and input a new target with all required fields filled out (specific, measurable, achievable, relevant, and time-bound), then the target is saved successfully and appears in the user's goals list.

Users monitor their progress towards sustainability goals through the visual dashboard in FleetWise.

Given the user has set multiple sustainability goals, when they view the progress dashboard, then they can see a visual representation of their progress, including percentage completed, areas for improvement, and a time frame for goal achievement.

Fleet Operations Managers want to adjust their sustainability goals based on performance and competitive analysis.

Given the user is on the Sustainability Goal Setting page, when they select an existing goal and modify one or more attributes (e.g., target percentage or due date), then the changes are saved and reflect immediately on the dashboard.

Users set new sustainability goals that comply with industry standards and provide insights into areas for improvement.

Given the user is on the Sustainability Goal Setting page, when they input a goal related to an environmental metric, then the system validates the goal against industry benchmarks and alerts the user if the target is below set standards.

Users receive automated reminders and notifications regarding their sustainability goals status and upcoming deadlines.

Given the user has set sustainability goals, when the deadline for any goal is approaching, then the user receives a notification via email and an in-app alert reminding them of the goal and current progress.

Real-Time Performance Alerts

User Story: As a Fleet Operations Manager, I want to receive real-time alerts on my fleet's environmental performance so that I can respond swiftly to any issues and optimize operations accordingly.
Description: The Real-Time Performance Alerts requirement focuses on deploying an alert system that notifies Fleet Operations Managers of key changes in their fleet's environmental performance metrics as they occur. By integrating real-time data monitoring, this feature will ensure users are immediately informed of any potential issues or significant improvements related to fuel efficiency, greenhouse gas emissions, and other environmental factors. This proactive approach allows for quick adjustments in operations, reinforcing FleetWise's commitment to sustainability and optimized management practices in a competitive market.
Acceptance Criteria: Fleet Operations Manager receives a real-time alert for a significant drop in fuel efficiency due to environmental factors affecting a specific vehicle in the fleet.

Given that the fleet's environmental performance metrics are being monitored in real-time, when fuel efficiency drops below a predefined threshold, then the Fleet Operations Manager should receive an immediate alert via the FleetWise dashboard and mobile app.

The system should notify the Fleet Operations Manager when greenhouse gas emissions exceed the acceptable range set by industry standards.

Given that the real-time environmental performance metrics are being tracked, when emissions levels exceed the defined limits, then an alert should be sent to the fleet manager including details of the vehicle and the extent of the excess emissions.

The Fleet Operations Manager wants to track improvements in fuel efficiency after implementing a new sustainability initiative across the fleet.

Given that corrective actions have been implemented, when the real-time performance monitoring detects an improvement in fuel efficiency by at least 15%, then a notification should be sent to the Fleet Operations Manager confirming the positive change.

The Fleet Operations Manager requires a summary of alerts received over the last week to assess sustainability performance.

Given that the alert system has been running for one week, when the Fleet Operations Manager requests the alert history, then the system should provide a detailed report of all alerts, including timestamp, nature of the alert, and actions taken.

During peak operational hours, the Fleet Operations Manager needs to ensure that alerts are not overlooked due to system overload or traffic.

Given that the alert system is in operation, when the number of alerts during peak hours exceeds a certain threshold, then the system should prioritize critical alerts and ensure those notifications are sent out instantly while deferring non-critical notifications.

The Fleet Operations Manager wants to customize the parameters for alerts related to environmental performance.

Given that the Fleet Operations Manager has access to the system settings, when they modify the threshold values for fuel efficiency and emissions, then those changes should be saved and reflected in the real-time alert system immediately.

Interactive Reporting Dashboard

User Story: As a Fleet Operations Manager, I want an interactive reporting dashboard that synthesizes my fleet's environmental performance data so that I can analyze trends and make informed decisions about our sustainability initiatives.
Description: The Interactive Reporting Dashboard requirement aims to develop a user-friendly interface that consolidates all relevant environmental performance data into an actionable overview. Users will have the capability to customize their dashboards based on preferred metrics, including detailed reports on emissions, fuel consumption, and benchmarking performance against industry standards. This visual and interactive component will empower Fleet Operations Managers to analyze trends, make informed decisions, and effectively communicate performance outcomes internally or externally. The dashboard will integrate functionality with other requirements like the Competitor Comparison Tool, ensuring seamless information flow and insights.
Acceptance Criteria: Interactive Reporting Dashboard allows Fleet Operations Managers to view emissions data in real-time during a fleet performance review meeting.

Given the user is on the Interactive Reporting Dashboard, when the user selects the emissions metric, then the dashboard displays real-time emissions data for the selected time frame and fleet segments.

Fleet Operations Managers want to customize their dashboard to display specific metrics related to fuel consumption and emissions for an upcoming sustainability report.

Given the user is on the customization settings of the Interactive Reporting Dashboard, when the user selects fuel consumption and emissions as the metrics of interest, then the dashboard updates to reflect only these metrics in view.

Operations Managers need to benchmark their fleet's performance against industry standards on the Interactive Reporting Dashboard.

Given the user has accessed the benchmarking feature, when the user selects the 'Compare with Industry Standards' option, then the dashboard presents a clear comparison between the fleet's performance and the relevant industry standard metrics.

The Fleet Operations Manager wants to save their customized dashboard view for future use.

Given the user has configured their dashboard layout and selected metrics, when the user clicks the 'Save Dashboard' button, then the system saves the current configuration and allows the user to restore it later.

During a fleet performance analysis, the Fleet Operations Manager needs to export the dashboard data to share with the executive team.

Given the user is viewing the Interactive Reporting Dashboard, when the user selects the 'Export' option, then the system generates a report in PDF format containing all visible dashboard metrics and data for sharing.

Fleet Operations Managers need to analyze trends in vehicle performance over time using the Interactive Reporting Dashboard.

Given the user has selected a time range on the dashboard, when the user views the trends section, then the dashboard displays clear visualizations of vehicle performance for selected metrics over the defined time period.

Sustainability Impact Scenarios

Sustainability Impact Scenarios enables users to simulate different operational strategies and their potential environmental impacts. This feature helps Fleet Operations Managers visualize the consequences of decisions related to vehicle usage, routes, and maintenance schedules, ultimately guiding them towards more sustainable practices.

Requirements

Scenario Simulation Engine

User Story: As a Fleet Operations Manager, I want to simulate different operational strategies so that I can understand their environmental impacts and make more informed decisions about sustainability.
Description: The Scenario Simulation Engine will allow users to create and manipulate various operational strategies to assess their potential environmental impacts. This requirement involves developing a robust simulation tool integrated within the FleetWise platform that enables users to input specific variables such as vehicle types, maintenance schedules, and route choices. The engine will model different scenarios and provide detailed analytics on their sustainability impact, thus guiding users towards making informed decisions. It is crucial for helping Fleet Operations Managers visualize the long-term ecological consequences of operational choices, thereby promoting more sustainable practices.
Acceptance Criteria: User Inputs Vehicle Types and Routes for Sustainability Simulation

Given that a Fleet Operations Manager selects vehicle types and route options, when they initiate the simulation, then the Scenario Simulation Engine should generate a unified report detailing expected fuel consumption, emissions, and estimated operational costs for each combination selected.

Multiple Scenarios in Quick Succession

Given that a Fleet Operations Manager wants to compare different operational strategies, when they run multiple simulations with varying inputs in quick succession, then the Scenario Simulation Engine should be able to process these simulations without significant delay and present results clearly on the dashboard.

Integration with Maintenance Schedule Data

Given that a Fleet Operations Manager inputs a specific maintenance schedule along with other parameters, when the simulation is executed, then the engine should account for the maintenance schedule's impact on operational efficiency and sustainability metrics in the output results.

Visualization of Sustainability Metrics

Given that a simulation is successfully completed, when the results are displayed, then the visual representation of sustainability metrics (e.g., emissions reduction, fuel savings) should be intuitive and accessible, allowing users to easily interpret data trends over different scenarios.

Exporting Simulation Results

Given that a Fleet Operations Manager has completed a simulation, when they choose to export the results, then the Scenario Simulation Engine should allow the user to download a detailed report in multiple formats (e.g., PDF, CSV) that includes all key metrics and visualizations.

User Feedback on Simulation Accuracy

Given that a Fleet Operations Manager has compared simulation results with actual operational data post-implementation, when they provide feedback on the accuracy of the scenario analysis, then the system should capture this feedback to improve future simulations continuously.

Impact Visualization Dashboard

User Story: As a Fleet Operations Manager, I want to view the environmental impact of different scenarios on a dashboard so that I can quickly assess and compare their sustainability effects.
Description: The Impact Visualization Dashboard will present the results of simulation scenarios in a user-friendly and visually appealing manner. This dashboard will utilize graphs, charts, and other visual tools to illustrate how different operational strategies affect sustainability metrics like emissions and fuel consumption. This feature enhances the product by providing Fleet Operations Managers with immediate insights and clear comparisons between scenarios, facilitating quicker and more effective decision-making aimed at reducing environmental footprints.
Acceptance Criteria: Impact Visualization Dashboard displays all necessary environmental metrics for various operational strategies being simulated.

Given the user selects multiple operational strategies for simulation, when they access the Impact Visualization Dashboard, then the dashboard displays graphs and charts showing metrics like emissions, fuel consumption, and potential savings for each strategy side by side.

Users can interact with the visual elements of the Impact Visualization Dashboard to get detailed insights.

Given the user hovers over a specific point in a graph, when they do so, then a tooltip appears showing detailed data points corresponding to that specific scenario and metric.

Users are able to filter and customize the displayed scenarios on the Impact Visualization Dashboard based on various criteria.

Given the user wants to focus on specific metrics, when they apply filters for scenario types or sustainability metrics, then the Impact Visualization Dashboard updates to only show the relevant scenarios and corresponding visual representations.

The Impact Visualization Dashboard provides clear and understandable comparisons between different operational strategies.

Given multiple operational strategies simulated, when comparing their environmental impact on the dashboard, then the user can clearly see which strategy is most effective for sustainability based on visual graphs and percentage differences.

The Impact Visualization Dashboard updates in real-time as new data from simulations is generated.

Given new simulation data is available, when the user refreshes or revisits the Impact Visualization Dashboard, then the dashboard seamlessly updates to reflect the latest simulation results without the need for a full page reload.

The dashboard is accessible on various devices without losing functionality or clarity.

Given a user views the Impact Visualization Dashboard on a mobile device, when navigating through it, then all functionalities and visual elements remain usable and visually clear, ensuring a good user experience across platforms.

Users receive a summary report based on the data visualized in the dashboard.

Given the user has completed simulating operational strategies, when they select the option to generate a report, then a downloadable summary report is created reflecting the key metrics and insights from the dashboard visualizations in a clear format.

Scenario Comparison Tool

User Story: As a Fleet Operations Manager, I want to compare multiple operational strategies side-by-side so that I can evaluate their efficiency and sustainability impacts more effectively.
Description: The Scenario Comparison Tool will enable users to select multiple operational strategies and compare their potential sustainability impacts side-by-side. Users will be able to scrutinize various metrics, such as cost implications and environmental effects, within the same interface. This requirement emphasizes the integration of analytical capabilities with comparative features, allowing Fleet Operations Managers to balance efficiency and sustainability effectively. This tool is essential for demonstrating the trade-offs and benefits of different choices clearly.
Acceptance Criteria: Fleet Operations Manager selects multiple operational strategies to evaluate their sustainability impacts during a quarterly planning meeting.

Given the Fleet Operations Manager is in the Scenario Comparison Tool, when they select at least three operational strategies, then the tool should display a side-by-side comparison of cost, environmental impact, and efficiency metrics for each strategy.

Operations Manager analyzes the metrics displayed by the Scenario Comparison Tool to make informed decisions about fleet adjustments.

Given the comparison is complete, when the Operations Manager reviews the sustainability impacts, then all metrics (cost, environmental impact, and efficiency) must be clearly visible and accurately represent the selected strategies.

Fleet Operations Manager uses the Scenario Comparison Tool to present data-backed recommendations to upper management for fleet operational improvements.

Given the analysis has been conducted, when the Operations Manager generates a report, then the report must include visualizations (charts/graphs) representing the comparison of all selected strategies, in addition to an executive summary of key findings.

Fleet Operations Manager tests different scenarios in the Scenario Comparison Tool before implementing any changes to the fleet schedule.

Given multiple operational strategies are tested, when results are compared, then the tool must allow the user to easily reset and select new strategies without losing previously input data.

Fleet Operations Manager receives feedback from users who tested the Scenario Comparison Tool during pilot use.

Given feedback is collected, when the results are analyzed, then at least 80% of users must confirm that the tool effectively helps visualize trade-offs between costs and sustainability impacts.

Fleet Operations Manager accesses the Scenario Comparison Tool on different devices (desktop, tablet, mobile) to test responsiveness.

Given the tool is accessed on various devices, when the manager interacts with the tool, then it must maintain functionality and display layout across all devices without any loss of data or usability issues.

Real-Time Analytics Integration

User Story: As a Fleet Operations Manager, I want real-time data to be reflected in the sustainability simulations so that I can make timely and informed operational decisions that minimize environmental impact.
Description: Real-Time Analytics Integration will allow the Sustainability Impact Scenarios feature to pull live data from the FleetWise platform, including data on vehicle performance, maintenance history, and real-time fuel consumption. By syncing this data, users will have the most updated and relevant information when simulating different scenarios, significantly enhancing decision quality and responsiveness. This is vital for ensuring the accuracy of the simulations and for making timely decisions that influence both productivity and environmental impact.
Acceptance Criteria: User pulls real-time fuel consumption data for a selected vehicle within the Sustainability Impact Scenarios feature.

Given the user is in the Sustainability Impact Scenarios feature, When they select a specific vehicle and request real-time fuel consumption data, Then the system displays the most current fuel consumption metrics for that vehicle without any noticeable delay.

User initiates a simulation using live data on vehicle performance.

Given the user has selected various operational strategies for simulation, When they initiate the simulation, Then the system utilizes live vehicle performance data to display updated simulation results reflecting current operational state.

Fleet Operations Manager reviews the maintenance history of vehicles while utilizing the Sustainability Impact Scenarios feature.

Given the user is accessing the Sustainability Impact Scenarios feature, When they choose to view maintenance history, Then the system provides an accurately updated log of maintenance records for the selected vehicles, complete with timestamps and details on previous maintenance actions.

User verifies the data sync mechanism for real-time analytics integration.

Given the user is monitoring the real-time analytics integration, When they check the status of the data sync between the FleetWise platform and the Sustainability Impact Scenarios feature, Then the system confirms a successful connection and data is updated in real-time, reflecting all new entries.

User evaluates the environmental impact of selected routes using real-time data.

Given the user has input various routes for evaluation, When they analyze the environmental impact using real-time fuel consumption and vehicle performance data, Then the system provides a detailed report showing expected carbon emissions and fuel efficiency for each route.

User checks for consistency of live data updates in the simulation results.

Given the user is in the process of running multiple simulations, When they observe the simulation results at different intervals, Then the results reflect real-time updates based on the latest data pulled from the FleetWise platform, with no discrepancies in reported values.

User saves a scenario simulation document with real-time analysis data included.

Given the user has completed a simulation utilizing live data, When they choose to save the simulation report, Then the system allows saving of the report in a user-defined format and confirms that all real-time data used is included in the saved document.

Sensitivity Analysis Functionality

User Story: As a Fleet Operations Manager, I want to conduct sensitivity analyses so that I can determine how different variables affect our sustainability metrics and adjust our strategies accordingly.
Description: The Sensitivity Analysis Functionality will allow users to understand how changes in specific parameters affect sustainability outcomes. This capability will enable Fleet Operations Managers to perform 'what-if' analyses, adjusting inputs such as fuel prices, vehicle efficiency, and route changes to see their impacts dynamically. This requirement is crucial for gaining deeper insights into the variables that influence operational sustainability and will aid decision-making for optimal fleet management.
Acceptance Criteria: User conducts a sensitivity analysis on fuel prices to evaluate the impact of a 10% increase in costs on the overall sustainability score.

Given the user adjusts the fuel price parameter by 10%, when they run the sensitivity analysis, then the system should display the updated sustainability score reflecting the fuel price changes and indicate a direct impact percentage on total operational costs.

Fleet Operations Manager simulates changes in vehicle efficiency to see how improvements affect the overall sustainability metrics.

Given the user inputs a new vehicle efficiency rate of 15% higher than previous values, when they initiate the sensitivity analysis, then the system must calculate and show the resultant changes in fuel consumption and emissions metrics in the report.

User analyzes route optimization strategies through sensitivity analysis to determine potential reductions in fuel usage.

Given the user selects different route options within the sensitivity analysis, when they apply the changes, then the system must display a comparative analysis of fuel savings achieved by each route option and the projected impacts on sustainability.

A Fleet Operations Manager uses sensitivity analysis to assess the impact of varying maintenance schedules on vehicle efficiency and emissions.

Given the user adjusts the maintenance schedule settings for their fleet, when they run the analysis, then the system generates a report that quantifies the emissions reductions and efficiency improvements based on the new maintenance schedule.

User implements a scenario testing different vehicle models with varying efficiency ratings in the sensitivity analysis.

Given the user selects multiple vehicle models with different efficiency ratings, when they execute the sensitivity analysis, then the results should clearly indicate the performance differences in terms of operational sustainability for each model tested.

Fleet Operations Manager evaluates the overall effect of simultaneous changes in fuel prices, vehicle efficiency, and route selection.

Given the user inputs simultaneous changes to fuel prices, vehicle efficiency ratings, and selects new routes, when they run the sensitivity analysis, then the system must provide a comprehensive summary that captures the collective impact on sustainability outcomes and operational costs.

Sustainability Benchmarking System

User Story: As a Fleet Operations Manager, I want to benchmark our sustainability metrics against industry standards so that I can identify areas for improvement and ensure we are meeting sustainability goals.
Description: The Sustainability Benchmarking System will enable Fleet Operations Managers to compare their fleet's sustainability metrics against industry standards and best practices. This requirement will include a database of benchmarks as well as a reporting feature to highlight areas of improvement and recognize compliance with sustainability goals. This integration is key for driving accountability and motivating users to continuously enhance their sustainable operational practices.
Acceptance Criteria: Fleet Operations Manager reviews fleet sustainability metrics to identify areas for improvement.

Given the Fleet Operations Manager is logged into the FleetWise platform, when they navigate to the Sustainability Benchmarking System, then they should be able to view their fleet's sustainability metrics alongside industry benchmarks.

Fleet Operations Manager generates a report on sustainability compliance.

Given the Fleet Operations Manager has accessed the Sustainability Benchmarking System, when they select the reporting feature and choose their fleet's sustainability metrics, then the system should generate a detailed report highlighting compliance and areas for enhancement with visual data representation.

Fleet Operations Manager compares fleet performance against industry standards to motivate sustainable practices.

Given the Fleet Operations Manager is on the Sustainability Benchmarking page, when they select a specific industry benchmark for comparison, then the system should display a comparative analysis of their fleet's metrics against those benchmarks, including visual indicators for areas of strength and weakness.

Fleet Operations Manager analyzes trends in sustainability metrics over time.

Given the Fleet Operations Manager is using the Sustainability Benchmarking System, when they select a date range for the analysis, then the system should provide a trend graph displaying changes in sustainability metrics over that period, including key insights on performance fluctuations.

Installation of sustainability benchmarks database in the FleetWise platform.

Given the development of the Sustainability Benchmarking System is completed, when the system is deployed, then it should include a comprehensive database of current sustainability benchmarks relevant to the fleet industry, which can be updated regularly.

Green Fleet Loyalty Score

The Green Fleet Loyalty Score quantifies the sustainability efforts of the fleet by analyzing fuel efficiency, emissions, and eco-driving behaviors. This score not only motivates operational teams to adopt greener practices through healthy competition but also serves as a metric for stakeholder reporting and accountability.

Requirements

Real-Time Data Integration

User Story: As a fleet manager, I want real-time integration of data into the Green Fleet Loyalty Score so that I can quickly identify and address inefficiencies in fuel use and emissions in order to enhance sustainability performance.
Description: The Real-Time Data Integration requirement involves the automatic synchronization of fleet performance data such as fuel efficiency, emissions, and driving behaviors from various sources into the Green Fleet Loyalty Score system. This feature ensures that the data used to calculate and display the loyalty score is always up-to-date, allowing for accurate tracking of sustainability efforts. By integrating with telematics devices and existing fleet management systems, it not only enhances the accuracy of the loyalty score but also provides actionable insights for operational teams, facilitating more informed decision-making that aligns with sustainability goals.
Acceptance Criteria: Real-time data synchronization from telematics devices to Green Fleet Loyalty Score system during daily operational hours.

Given the fleet management system is operational, when a telematics device sends new data (fuel efficiency, emissions, or driving behaviors), then the data should be automatically updated in the Green Fleet Loyalty Score system within 5 minutes.

Verification of data accuracy and completeness after synchronization into the Green Fleet Loyalty Score system.

Given data has been synchronized from various sources, when an operational team reviews the inputted data, then no discrepancies or missing data points should be found within the last 24 hours of synchronization.

Integration testing with multiple data sources to ensure compatibility and seamless data flow into the Green Fleet Loyalty Score system.

Given the telematics devices and fleet management systems are configured, when data is sent from all designated sources concurrently, then the Green Fleet Loyalty Score system should receive and display data from all sources without errors.

User experience validation for the visualization of the Green Fleet Loyalty Score post data integration.

Given new data has been integrated into the system, when a user accesses the Green Fleet Loyalty Score dashboard, then the displayed score should reflect the latest data, and all metrics should be visually updated within 2 seconds.

Compliance with data security standards during the synchronization of fleet performance data.

Given data is being transmitted from telematics devices to the Green Fleet Loyalty Score system, when the data is in transit, then it should be encrypted and compliant with industry security standards (e.g., GDPR, CCPA).

Generation of alerts for anomalies detected in data synchronization that may affect score accuracy.

Given the data synchronization process is running, when an anomaly (e.g., significant drop in fuel efficiency) is detected, then an alert should be generated and sent to the operational team within 10 minutes of anomaly detection.

Automation of periodic reporting for stakeholders based on the Green Fleet Loyalty Score and integrated data.

Given the data is synchronized, when stakeholders request a report on fleet sustainability efforts, then the report should be generated automatically and include the latest score and analytics from the last month, delivered within 15 minutes of the request.

User Dashboard for Score Visualization

User Story: As a fleet operator, I want a user-friendly dashboard that visualizes the Green Fleet Loyalty Score so that I can easily track our sustainability progress and motivate the team to improve our scores.
Description: The User Dashboard for Score Visualization requirement entails developing an intuitive and interactive dashboard that presents the Green Fleet Loyalty Score alongside relevant metrics such as fuel consumption, emissions, and eco-driving behaviors. This dashboard will enable users to easily comprehend their fleet’s performance at a glance and drill down into specific areas for improvement. By providing visual representations such as graphs and comparison tools, the dashboard will facilitate stronger engagement from operational teams, promoting maintenance of sustainable practices and fostering healthy competition among team members.
Acceptance Criteria: User access their dashboard to view the Green Fleet Loyalty Score and seeks to understand the factors affecting the score.

Given the user accesses the dashboard, when they view the Green Fleet Loyalty Score, then the score should be displayed prominently at the top of the dashboard alongside fuel consumption, emissions, and eco-driving behavior metrics.

User wants to compare their current Green Fleet Loyalty Score with previous scores to track improvements.

Given the user has at least one historical score, when they select the comparison tool, then they should be able to see a time-series graph displaying their Green Fleet Loyalty Score over the past three months alongside key metrics.

User encounters a section in the dashboard providing suggestions for improving their Green Fleet Loyalty Score.

Given the user is on the dashboard, when they click on the 'improvements' section, then they should see actionable insights and tips based on their current Green Fleet Loyalty Score and driving behaviors.

User wants to adjust the time frame for the data displayed in their dashboard for more tailored insights.

Given the user is viewing their dashboard, when they select a date range option, then the dashboard should refresh to only display metrics and scores for the selected time frame.

User wants to see a detailed breakdown of their eco-driving behaviors to understand how it impacts their Green Fleet Loyalty Score.

Given that the user is on the dashboard, when they click on the 'eco-driving' section, then they should see a detailed report that includes individual scores for eco-driving behaviors such as acceleration patterns and idling durations.

User needs to share their dashboard view with team members to foster competition and accountability.

Given the user is viewing the dashboard, when they click on the 'share' button, then they should be able to generate a shareable link or export the dashboard as a PDF.

User wants visual feedback on the performance of multiple drivers within their fleet regarding fuel efficiency and emissions.

Given the user is on the dashboard, when they select the 'driver performance' view, then the dashboard should present a ranked list of drivers based on fuel efficiency and emissions metrics, with visual indicators for high and low performers.

Gamification Elements for Engagement

User Story: As a driver, I want to earn badges and see leaderboards for eco-driving scores so that I feel motivated to improve my driving habits and contribute to a greener fleet.
Description: The Gamification Elements for Engagement requirement aims to introduce game-like features within the Green Fleet Loyalty Score system, such as leaderboards and achievement badges for teams that exhibit the best sustainability practices. This requirement will encourage healthy competition among fleet operations, incentivizing employees to embrace eco-driving habits and minimize fuel consumption. By making the pursuit of sustainability engaging and rewarding, it will not only enhance user participation but also promote a culture of environmental accountability within the organization.
Acceptance Criteria: Display of Leaderboards for Eco-Driving Competitions

Given that the leaderboard feature is integrated, when users access the Green Fleet Loyalty Score dashboard, then they should be able to see a ranking of all teams based on their eco-driving scores, updated real-time, and sortable by week, month, and quarter.

Achievement Badge System Implementation

Given that the achievement badge system is implemented, when a team reaches specific sustainability thresholds (e.g., a 30% reduction in fuel consumption), then the badge for that achievement should be automatically awarded and displayed on the team's profile in the FleetWise system.

User Notification for Milestone Achievements

Given that a team achieves a milestone in eco-driving behavior, when the achievement occurs, then a notification should be sent to all team members via email and in-app message, informing them of the achievement and the corresponding reward.

Mobile Accessibility of Gamification Features

Given that the gamification features are designed for mobile access, when a user logs into FleetWise on a mobile device, then they should be able to view the leaderboard, badges earned, and notifications without any functionality loss compared to the desktop version.

Reporting Functionality for Management Overview

Given that the gamification elements are active, when management accesses the reporting dashboard, then they should be able to view aggregated data on team performance, including leaderboards, badges awarded, and sustainability metrics for stakeholder presentations.

User Feedback Mechanism for Gamification Features

Given that gamification has been implemented, when users engage with the gamification elements, then a feedback tool should be available for users to provide input on their experience, and this feedback should be collected for future improvement.

Incorporation of Competitive Element in Sustainability Training

Given that gamification is part of the Green Fleet Loyalty Score, when sustainability training sessions occur, then those sessions should include competitive elements such as team challenges, and the results should be reflected in the leaderboard.

Automated Reporting for Stakeholders

User Story: As a fleet manager, I want automated reports on our Green Fleet Loyalty Score so that I can easily share our sustainability progress with stakeholders and enhance our accountability.
Description: The Automated Reporting for Stakeholders requirement involves the development of a feature that generates comprehensive sustainability reports based on the Green Fleet Loyalty Score and underlying metrics. This functionality will enable fleet managers to automatically compile and distribute performance reports to stakeholders, showcasing the fleet's green achievements and areas for improvement. The reports will be customizable and will streamline the communication process, ensuring that stakeholders remain informed about the organization's sustainability initiatives without requiring manual report creation, thereby saving time and improving accountability.
Acceptance Criteria: Automated Reporting Generation for Quarterly Stakeholder Review

Given that the Green Fleet Loyalty Score feature is enabled, when a fleet manager schedules a quarterly report, then a comprehensive sustainability report should be generated automatically with metrics on fuel efficiency, emissions, and eco-driving behaviors.

Customization of Sustainability Report Output

Given that the fleet manager is accessing the report generation feature, when they select specific metrics and customize the report template, then the generated report should reflect the selected options accurately.

Automated Email Distribution to Stakeholders

Given that the sustainability report is generated, when the fleet manager opts to distribute the report, then the report should be automatically emailed to all designated stakeholders without errors.

Real-time Update Reflection in Reports

Given that there are updates in the Green Fleet Loyalty Score metrics, when a stakeholder accesses the latest sustainability report, then the report should display the most recent metrics and scores.

User Access Control for Report Access

Given that reports contain sensitive sustainability metrics, when a fleet manager sets up user access rights, then only authorized users should be able to view the detailed reports.

Integration with Existing Dashboard Visuals

Given that the fleet manager is reviewing their fleet performance, when they access the sustainability reporting feature, then the reports should be seamlessly integrated with the existing dashboard visualizations.

Report Generation Time Efficiency

Given that the report generation feature is functioning, when the fleet manager requests a report, then it should be generated within 10 minutes regardless of the selected metrics.

Mobile App Access for Drivers

User Story: As a driver, I want to access a mobile app that shows my Green Fleet Loyalty Score and driving habits so that I can improve my performance and contribute to our fleet’s sustainability efforts.
Description: The Mobile App Access for Drivers requirement focuses on creating a mobile application that allows drivers to monitor their contributions to the Green Fleet Loyalty Score in real time. The app will provide insights into their driving behaviors, offer tips for improvement, and allow them to see how their performance compares to their peers. This accessibility empowers drivers to take proactive steps towards eco-driving, facilitating a more engaged workforce committed to sustainability efforts, ultimately contributing to a higher overall fleet loyalty score.
Acceptance Criteria: Driver accesses the mobile app to view their current Green Fleet Loyalty Score after completing a trip.

Given the driver has successfully logged into the app, when they navigate to the Green Fleet Loyalty Score section, then they should see their current score updated in real time based on their latest trip metrics.

Driver receives personalized tips for improving their eco-driving habits after viewing their score.

Given the driver views their Green Fleet Loyalty Score, when their score is below a predefined threshold, then the app should provide at least three personalized tips for improvement.

Driver compares their Green Fleet Loyalty Score with peers within the app.

Given the driver is on the score comparison page, when they select 'Compare with Peers', then they should see a ranking of their score against the scores of at least five other drivers.

Driver receives a notification when their Green Fleet Loyalty Score improves.

Given the driver has activated notifications, when their score improves after a trip, then they should receive a push notification informing them of their new score and acknowledging their effort.

The app displays historical trends of the driver’s Green Fleet Loyalty Score over time.

Given the driver is on their profile page, when they select the 'Score History' option, then they should see a graphical representation of their score trends for the past 6 months.

Driver provides feedback on the usefulness of the tips provided by the app.

Given the driver has received eco-driving tips, when they are prompted for feedback, then they should be able to rate the tips on a scale from 1 to 5 and provide optional comments.

Real-Time Environmental Alerts

Real-Time Environmental Alerts notify Fleet Operations Managers of any significant spikes in emissions or fuel consumption, allowing for immediate corrective action. By addressing issues as they arise, this feature helps maintain compliance with environmental regulations and supports proactive management of sustainability initiatives.

Requirements

Emission Spike Detection

User Story: As a Fleet Operations Manager, I want to receive real-time alerts for any spikes in vehicle emissions so that I can take immediate corrective actions to maintain compliance with environmental regulations and reduce sustainability risks.
Description: The Emission Spike Detection requirement involves implementing a system that continuously monitors vehicle emissions in real-time. This feature will use advanced sensors and analytics to identify significant spikes in emissions relative to normal operating levels. When a notable increase is detected, alerts will be generated and sent immediately to fleet operations managers, providing insights into potential issues such as malfunctioning emission control systems or improper vehicle operation. This requirement is crucial for ensuring compliance with environmental regulations and supports the company's sustainability initiatives by facilitating timely interventions. The integration with FleetWise's existing real-time tracking infrastructure will allow for seamless monitoring and quick corrective actions, ultimately leading to reduced vehicle downtime and enhancement in operational efficiency.
Acceptance Criteria: Fleet Operations Manager receives a notification when emissions exceed a predefined threshold, prompting immediate investigation and corrective actions.

Given the real-time monitoring system is active, when emissions exceed the threshold, then a notification is sent to the Fleet Operations Manager within 1 minute of detection.

Fleet Operations Manager accesses the dashboard to review historical emission data and to understand trends leading to spikes.

Given the dashboard is properly integrated, when the Fleet Operations Manager accesses the emission history section, then they can view emissions data for the last 30 days organized by vehicle and can filter by date ranges.

The system performs a comprehensive analysis of the vehicle's operational data to correlate emissions spikes with possible causes.

Given emission spikes have been detected, when the Fleet Operations Manager requests an analysis report, then the system produces a report within 5 minutes that includes vehicle data such as speed, load, and maintenance history during the spike.

Fleet Operations Manager uses the alerts to schedule maintenance for vehicles exhibiting frequent emission spikes.

Given the emission spike detection system is operational, when a vehicle experiences three emission alerts within a 7-day period, then an automated maintenance request is generated for that vehicle.

New sensor data is integrated and tested to ensure accurate emission readings.

Given new sensors are installed in the vehicle fleet, when the sensors are activated, then they accurately measure and report emissions levels within 95% accuracy compared to a standard reference device.

Fuel Consumption Analytics

User Story: As a Fleet Operations Manager, I want to analyze fuel consumption patterns in my fleet so that I can identify inefficiencies and optimize routes for cost savings and sustainability.
Description: The Fuel Consumption Analytics requirement focuses on developing a robust analytics feature that tracks and analyzes fuel consumption patterns across the fleet. This functionality will gather data from each vehicle to identify trends, anomalies, and correlations with various operational factors such as route changes, load variations, and driving behaviors. The insights gained will empower fleet managers to make data-driven decisions on fuel management, including optimizing routes and vehicle assignments. Fuel Consumption Analytics will be integrated into the FleetWise dashboard, providing visualizations and reports that enable users to monitor fuel performance in real time. The feature will not only support cost savings through better fuel management but also align with sustainability goals by identifying opportunities to reduce fuel usage.
Acceptance Criteria: Fuel Consumption Tracking During Peak Operation Hours

Given FleetWise is monitoring the fuel consumption of vehicles during peak operation hours, when a vehicle's fuel consumption exceeds the threshold set for its class, then an alert should be generated and displayed on the dashboard in real time.

Daily Analytics Report Generation

Given that the Fuel Consumption Analytics feature is integrated into the FleetWise dashboard, when the end of the day is reached, then a comprehensive report summarizing daily fuel consumption patterns and anomalies should be generated and emailed to the fleet operations manager.

Visualization of Fuel Consumption Trends

Given the Fuel Consumption Analytics feature, when a fleet operations manager accesses the dashboard and selects the fuel consumption module, then they should see a graphical representation of fuel consumption trends over various time frames (daily, weekly, monthly).

Anomaly Detection in Fuel Usage

Given that relevant data is being collected from the vehicles, when the system detects a significant anomaly in fuel consumption patterns compared to historical data, then the system should automatically flag this anomaly for review by the fleet operations manager.

Integration with Route Optimization Data

Given that fuel consumption data is collected, when a fleet operation manager makes adjustments to routes based on analytics, then the system should display updated fuel consumption predictions corresponding to the new routes.

User Training on Analytics Tool

Given the implementation of the Fuel Consumption Analytics feature, when a training session is conducted with fleet operations staff, then 90% of attendees should demonstrate the ability to effectively navigate and utilize the analytics tool for decision making.

Compliance Reporting Interface

User Story: As a Fleet Operations Manager, I want a user-friendly compliance reporting tool so that I can generate and submit emissions and fuel reports quickly and effortlessly to meet regulatory requirements.
Description: The Compliance Reporting Interface requirement entails creating a dedicated module within the FleetWise platform that simplifies the generation of compliance reports related to emissions and fuel usage. This interface will allow fleet operations managers to easily compile necessary data, generate reports, and submit them to relevant regulatory bodies, ensuring that all legal requirements are met without complexity. The module will support customizable reporting options, enabling users to select specific data points, timeframes, and formats. By automating report generation and integrating historical data, this feature will greatly reduce the administrative burden on fleet managers while enhancing the accuracy and timeliness of compliance submissions.
Acceptance Criteria: Fleet Operations Manager initiates the generation of a compliance report for emissions and fuel usage at the end of a reporting period, selecting specific data points and timeframes as per regulatory requirements.

Given the Compliance Reporting Interface, when the Fleet Operations Manager selects the desired data points and timeframes, then the system must generate a comprehensive report that includes all selected data accurately formatted for regulatory submission.

A Fleet Operations Manager needs to submit compliance reports regarding emissions to a regulatory body by a specified deadline, using the Compliance Reporting Interface to ensure all necessary data is included.

Given that the reporting deadline is approaching, when the Fleet Operations Manager uses the Compliance Reporting Interface to generate the report, then the system must allow for easy submission directly to the designated regulatory body without errors.

The Compliance Reporting Interface is being tested to ensure it can handle various custom reporting options, such as different timeframes and data categories based on fluctuating operational demands.

Given the available custom reporting options, when the Fleet Operations Manager selects various combinations of timeframes and data categories, then the system must produce reports that reflect the correct data accurately and are visually clear.

Fleet Operations Manager attempts to review historical compliance reports generated by the Compliance Reporting Interface for accuracy and compliance with previous submissions.

Given that historical reports are stored in the system, when the Fleet Operations Manager requests a historical report, then the system must retrieve and display the report with all data accurately reflecting the original submission date and format.

The Compliance Reporting Interface is accessed during a routine audit to demonstrate compliance with environmental regulations by showcasing generated reports and submissions.

Given an audit scenario, when the audit officer reviews generated compliance reports from the Compliance Reporting Interface, then the reports must include date stamps, submission statuses, and detailed data justifying compliance with all relevant regulations.

A Fleet Operations Manager requires the Compliance Reporting Interface to automatically notify them of any discrepancies or issues detected within the generated reports before submission.

Given that reports are generated, when any discrepancies are found during report validation, then the system must send an automatic alert to the Fleet Operations Manager outlining the specific issues to be addressed.

Sustainability Goal Tracker

User Story: As a Fleet Operations Manager, I want a sustainability goal tracker so that I can monitor our progress towards environmental targets and make informed decisions to enhance our sustainability initiatives.
Description: The Sustainability Goal Tracker requirement involves developing a comprehensive tracking feature that monitors the progress of environmental sustainability initiatives within the fleet. This feature will enable fleet operations managers to set specific sustainability goals related to emissions reductions, fuel conservation, and other environmental metrics. The tool will aggregate relevant data from multiple sources, providing a dashboard view of progress against these goals. Users will be able to visualize trends, receive alerts when approaching limits, and access predictive analytics to forecast outcomes based on current performance. This requirement is essential for reinforcing the company's commitment to sustainability and enabling informed strategic decisions in fleet management.
Acceptance Criteria: Fleet operations managers set specific sustainability goals for emissions reductions and fuel conservation for the fleet.

Given a defined sustainability goal, when the user inputs the target metric and timeframe, then the system must save these goals and display them on the dashboard for tracking.

The Sustainability Goal Tracker aggregates data from various sources related to fleet emissions and fuel consumption.

Given that the system has access to relevant data sources, when data is aggregated, then it should accurately reflect the current status of emissions and fuel use against the set goals without discrepancies.

Fleet operations managers want to visualize the progress of sustainability initiatives over time on a dashboard.

Given that tracking data is available, when the user accesses the dashboard, then they should be able to view graphical representations of performance trends related to sustainability goals.

The system sends alerts to fleet operations managers when the fleet is approaching predefined limits for fuel consumption or emissions.

Given that sustainability goals have been set, when the monitored metrics reach 75% of the target limit, then the system must trigger an alert to the fleet operations manager via a notification.

Fleet operations managers want to access predictive analytics to forecast outcomes based on current performance data.

Given the current performance metrics, when the user requests predictive analytics, then the system must provide forecasts that include anticipated future performance and potential risks associated with not meeting sustainability goals.

The Sustainability Goal Tracker allows for adjustments or revisions to sustainability goals as organizational strategies evolve.

Given that a sustainability goal has been set, when the user opts to revise the goal, then the system must allow for the adjustment of the metric, timeframe, and provide confirmation that the goal has been updated successfully.

Fleet operations managers need to generate reports on sustainability performance to present to stakeholders.

Given that the user has selected a timeframe, when the report generation is initiated, then the system must compile and generate a report summarizing sustainability performance against the set goals in a downloadable format.

Sustainability Reporting Toolkit

The Sustainability Reporting Toolkit offers customizable templates and automated reporting capabilities for compliance documentation and stakeholder presentations. This feature streamlines the reporting process, making it easier for Fleet Operations Managers to communicate sustainability achievements and future goals to executives and regulatory bodies.

Requirements

Customizable Reporting Templates

User Story: As a Fleet Operations Manager, I want to customize reporting templates for sustainability so that I can present relevant data easily and communicate our achievements and future goals to stakeholders effectively.
Description: The Customizable Reporting Templates requirement allows Fleet Operations Managers to create, modify, and save reports tailored to their specific sustainability metrics and goals. This feature will enable users to utilize predefined templates and adjust them as necessary to fit unique reporting requirements for different stakeholders, ensuring that all relevant data is captured efficiently. This functionality enhances the user experience by providing flexibility and ensuring compliance with varying regulatory standards, thereby facilitating a smoother reporting process while showcasing sustainability efforts effectively.
Acceptance Criteria: Fleet Operations Manager accesses the Sustainability Reporting Toolkit to create a new report using a predefined template.

Given a predefined template is available, when the Fleet Operations Manager selects the template and enters necessary data, then the report should be successfully created and saved in the system with the option to edit.

Fleet Operations Manager customizes a reporting template to meet specific sustainability metrics for a regulatory body.

Given a customizable reporting template, when the Fleet Operations Manager adjusts the fields and metrics according to the regulatory requirements, then the report should accurately reflect the updated metrics and save without errors.

Fleet Operations Manager generates an automated report for presentation to stakeholders.

Given the report is successfully customized, when the Fleet Operations Manager triggers the automated report generation, then the system should create a fully formatted report downloadable in PDF and Excel formats in under 5 minutes.

Fleet Operations Manager reviews a saved report to ensure all relevant sustainability data is captured.

Given a previously saved report, when the Fleet Operations Manager opens the report, then all data fields should display the correct and relevant sustainability metrics without missing information.

Fleet Operations Manager shares a report with team members for feedback.

Given a completed report, when the Fleet Operations Manager shares the report via email to team members, then all recipients should receive access to the report with appropriate permissions to view or comment on it.

Fleet Operations Manager assesses the report generation time for efficiency.

Given multiple reports queued for generation, when the Fleet Operations Manager initiates report creation, then each report should be generated and ready for download within a maximum of 5 minutes per report, ensuring optimal performance.

Automated Data Collection

User Story: As a Fleet Operations Manager, I want the sustainability reporting toolkit to automatically collect data so that I can ensure accuracy and save time spent on manual data entry.
Description: The Automated Data Collection requirement facilitates the seamless integration of various data sources to gather sustainability metrics without manual entry or intervention. This feature will connect with existing fleet management systems, fuel consumption data, maintenance records, and telematics, automatically drawing in necessary information to populate reporting fields. The integration will save time, reduce errors associated with manual data entry, and ensure that reports reflect the most accurate and up-to-date information available.
Acceptance Criteria: Integration of Data Sources for Sustainability Metrics Collection

Given that the data sources are properly configured, when the Automated Data Collection feature is executed, then sustainability metrics from fleet management systems, fuel consumption data, maintenance records, and telematics should be collected automatically without manual intervention.

Accuracy of Collected Data for Reporting

Given that the data has been collected automatically, when a report is generated, then the metrics displayed in the report must match the most recent data in the source systems with an accuracy rate of at least 95%.

Error Handling During Data Collection

Given that integration with external data sources could fail, when there is an error in data collection, then the system must log the error, notify the user, and provide a detailed report of the failed sources.

Speed of Data Collection Process

Given that the Automated Data Collection is initiated, when the process runs, then the data collection must be completed within a predefined time frame of no more than 5 minutes for all configured data sources.

User Feedback on Automated Data Collection Process

Given that the Automated Data Collection runs, when the collection is complete, then a feedback prompt should appear for users to report issues or satisfaction with the process, with at least 80% positive feedback expected during the testing phase.

Documentation of Sustainability Metrics

Given that the data has been successfully collected, when generating compliance documentation, then all collected metrics must be present and formatted according to the customizable template provided by the Sustainability Reporting Toolkit.

User Permission Set Up for Data Access

Given that user roles are configured, when the Automated Data Collection feature attempts to access data, then it should only retrieve data based on the permissions set for the respective user roles, ensuring compliance with data privacy regulations.

Regulatory Compliance Checker

User Story: As a Fleet Operations Manager, I want the toolkit to check for regulatory compliance in my reports so that I can ensure we meet all legal requirements and avoid potential penalties.
Description: The Regulatory Compliance Checker requirement ensures that sustainability reports meet all necessary regulatory compliance standards relevant to the transportation and fleet management industry. This feature will provide users with guidance on compliance requirements, allowing Fleet Operations Managers to generate reports that satisfy legal and regulatory requirements. By incorporating a compliance checking mechanism, the toolkit will minimize the risk of non-compliance, enhancing credibility and trust with stakeholders.
Acceptance Criteria: Fleet Operations Manager initiates a sustainability report preparation to ensure compliance with current regulatory standards, indicating the use of the Regulatory Compliance Checker feature in the Sustainability Reporting Toolkit.

Given a Fleet Operations Manager has accessed the Sustainability Reporting Toolkit, when they select the Regulatory Compliance Checker, then they should receive a list of applicable regulatory standards based on their current fleet operations and desired reporting timeframe.

The Fleet Operations Manager is generating a sustainability report and wants to ensure that the report meets all required regulatory standards before submission to stakeholders.

Given that the Fleet Operations Manager has completed their sustainability report, when they run the Regulatory Compliance Checker, then the system should validate the report against the identified regulatory standards and provide feedback on compliance status.

After generating a sustainability report, the Fleet Operations Manager needs to make adjustments to ensure compliance based on the feedback from the Regulatory Compliance Checker.

Given the Fleet Operations Manager receives compliance feedback that indicates specific areas of non-compliance, when they adjust the report accordingly, then re-running the Regulatory Compliance Checker should confirm that all non-compliance issues have been addressed and the report is now compliant.

A Fleet Operations Manager is preparing for an upcoming audit and needs to provide a recent sustainability report that has passed regulatory compliance checks.

Given a fleet sustainability report has been validated by the Regulatory Compliance Checker, when the Fleet Operations Manager retrieves the report for audit purposes, then the report should include a compliance certification notice indicating adherence to relevant regulatory standards.

In order to streamline operations, the Fleet Operations Manager wishes to customize the regulatory requirements relevant to their specific fleet operations.

Given the Fleet Operations Manager is customizing the regulatory settings in the toolkit, when they input specific operational parameters, then the Regulatory Compliance Checker should update its validation criteria based on the newly input parameters.

The Fleet Operations Manager needs to train new staff on the use of the Sustainability Reporting Toolkit, specifically the Regulatory Compliance Checker feature.

Given that the new staff is being trained, when they access the tool and follow the provided training material, then they should be able to successfully use the Regulatory Compliance Checker to validate a sample sustainability report and understand the compliance feedback process.

Fleet executives require summary data regarding compliance status of the sustainability reports for the quarter.

Given the Fleet Operations Manager retrieves compliance reports from the Sustainability Reporting Toolkit, when they consolidate data from multiple reports, then the summary should accurately reflect compliance status across all reports, indicating any non-compliance issues and resolutions.

Stakeholder Feedback Integration

User Story: As a Fleet Operations Manager, I want to integrate stakeholder feedback into my sustainability report so that I can ensure our communication meets their expectations and enhances our partnership.
Description: The Stakeholder Feedback Integration requirement allows users to solicit and incorporate feedback from executives and regulatory bodies on sustainability reports. This feature enables the customization of reports and insights gathered from stakeholders, ensuring that the final output aligns with expectations and requirements. This interactive element of the reporting process enhances communication, promotes transparency, and strengthens relationships with stakeholders by demonstrating responsiveness to their needs and expectations.
Acceptance Criteria: Stakeholder Feedback Submission Process

Given a user has created a sustainability report, when they invite stakeholders to provide feedback, then stakeholders should receive an email notification with a link to the feedback form.

Customization of Feedback Form

Given a user accesses the feedback request, when they view the form, then they should see the option to customize the questions relevant to their specific sustainability report.

Feedback Incorporation into Reports

Given a user has received feedback from stakeholders, when they access the report, then they should be able to view, incorporate, and track changes based on the feedback provided.

Stakeholder Feedback Analytics

Given feedback has been submitted by stakeholders, when the user views the analytics dashboard, then they should see visual representations of feedback trends and summaries.

Final Report Generation with Stakeholder Input

Given that stakeholder feedback has been integrated, when the user generates the final sustainability report, then the report should reflect all incorporated feedback and meet compliance standards.

User Permission Settings for Stakeholders

Given a user is managing stakeholder feedback, when they set permissions, then stakeholders should only have access to the feedback form and report relevant to their role.

Notification of Feedback Responses to Stakeholders

Given that stakeholders have provided feedback, when the user incorporates this feedback, then stakeholders should receive a notification confirming their feedback has been acknowledged in the sustainability report.

Visual Analytics Dashboard

User Story: As a Fleet Operations Manager, I want a visual analytics dashboard so that I can present sustainability metrics in an engaging and easily understandable way for stakeholders.
Description: The Visual Analytics Dashboard requirement provides a graphical summary of sustainability metrics, enhancing the presentation of data in reports. With this feature, Fleet Operations Managers can visualize key performance indicators and sustainability goals through charts, graphs, and other visual formats to make complex data more accessible and understandable. This integration is designed to enhance user engagement, foster deeper insights, and support data-driven decision-making by emphasizing the visual representation of achievements and targets.
Acceptance Criteria: Visualizing Sustainability Metrics for Stakeholders

Given a Fleet Operations Manager accesses the Visual Analytics Dashboard, when they select a specific reporting period, then the dashboard displays sustainability metrics in charts and graphs, showing data such as fuel consumption reduction and vehicle uptime improvements for that period.

Customization of Reporting Templates

Given a Fleet Operations Manager accesses the Sustainability Reporting Toolkit, when they select a template for sustainability report generation, then they can customize at least 5 key elements, such as header, color scheme, and data sources, to match their organization’s branding needs.

Automated Data Integration into Dashboard

Given that relevant sustainability data is imported from fleet management systems, when this data is processed, then the Visual Analytics Dashboard automatically updates to reflect the most current sustainability metrics without manual intervention, within 5 minutes of data import.

Mobile Accessibility of the Visual Analytics Dashboard

Given a Fleet Operations Manager views the Visual Analytics Dashboard on a mobile device, when they navigate to the sustainability metrics section, then all visual elements (charts and graphs) maintain readability and functionality similar to the desktop view, specifically not losing key information.

User Engagement with Dashboard Features

Given a Fleet Operations Manager is using the Visual Analytics Dashboard, when they interact with visual elements such as hovering over a chart, then tooltip information displays detailed data points and insights related to the sustainability metrics being viewed.

Exporting Reports for Stakeholder Review

Given a Fleet Operations Manager prepares an export of the Visual Analytics Dashboard, when they choose to download the report, then the exported document includes all selected visuals and a summary of findings in a PDF format, ready for stakeholder presentation.

Collaborative Reporting Tools

User Story: As a Fleet Operations Manager, I want collaborative tools for sustainability reporting so that my team can work together in real-time to improve report quality and accuracy.
Description: The Collaborative Reporting Tools requirement enables multiple users to work jointly on sustainability reports in real-time. This feature allows Fleet Operations Managers and their teams to collaborate by sharing comments, making edits, and tracking changes to reports. By facilitating team collaboration and communication, this requirement improves overall report quality, speed, and accuracy while fostering a culture of teamwork and mutual input within the organization.
Acceptance Criteria: Collaborative editing of sustainability reports by multiple users in real-time.

Given multiple users are working on a sustainability report, when a user makes an edit, then the changes should be visible to all other users in real-time without requiring a page refresh.

Commenting feature for collaborative feedback on sustainability reports.

Given a user wishes to provide feedback on a report, when they add a comment, then the comment should be visible to all collaborators in the report with a timestamp and the name of the commenting user.

Tracking changes made to sustainability reports during collaboration.

Given a report is being collaboratively edited, when users make changes, then a version history should be available to review previous edits, showing what was changed, by whom, and when.

Notifications for updates and comments regarding sustainability reports.

Given users are collaborating on a sustainability report, when a new comment or change is made, then all collaborators should receive a notification of the update via email and/or in-app alerts.

User access controls for collaborative reporting tools.

Given a sustainability report has multiple collaborators, when a new user is added, then the admin should be able to define permissions for viewing, editing, and commenting on the report for each collaborator.

Integration with existing compliance documentation for seamless reporting.

Given a sustainability report is generated, when users select compliance documentation from the toolkit, then relevant templates should automatically populate and align with the report's existing data.

Exporting reports with all collaborations included.

Given a sustainability report is finalized, when a user exports the report, then the exported document should include all comments, changes, and a summary of the collaboration history.

Carbon Offset Recommendations

Carbon Offset Recommendations provide users with tailored suggestions for carbon offset projects based on their fleet's emissions data. This feature helps Fleet Operations Managers engage in climate action initiatives, allowing them to compensate for their fleet's environmental impact while promoting a positive corporate image.

Requirements

Emission Data Collection

User Story: As a Fleet Operations Manager, I want to gather real-time emissions data from my fleet so that I can make informed decisions about carbon offsets and achieve sustainability goals.
Description: The Emission Data Collection requirement focuses on gathering real-time emissions data from the fleet's vehicles. This functionality is crucial for accurately assessing the fleet's carbon footprint and serves as the foundational step for generating carbon offset recommendations. By integrating with vehicle telematics and analytics systems, the feature will ensure that emissions data is precise and up-to-date, empowering fleet managers with actionable insights. This requirement enhances the FleetWise platform by providing a reliable source of data that drives informed decision-making regarding carbon offset initiatives, thereby promoting sustainability and regulatory compliance.
Acceptance Criteria: Emission Data Collection for Real-Time Monitoring of Fleet Performance

Given that the fleet's telematics systems are properly configured, when data is collected from all active vehicles, then the emissions data should reflect accurate real-time readings for each vehicle within a 5% tolerance of calculated values.

Integration with Existing Telematics Systems

Given that the Emission Data Collection feature is implemented, when it is integrated with telematics systems, then it should successfully pull emissions data with no errors and log the data to the FleetWise dashboard within 10 seconds of each data point received.

User Access and Data Visualization

Given that a Fleet Operations Manager logs into the FleetWise platform, when they navigate to the emissions data section, then they should see a complete visual representation of emissions data, including charts and graphs, and the data should update in real-time every minute.

Historical Data Comparison for Emission Trends

Given the system has been collecting emissions data for at least one month, when the Fleet Operations Manager requests a report on historical emissions, then the report should show trends, averages, and significant deviations in emissions data over the selected period.

Alerts for Emission Thresholds

Given that the platform is monitoring vehicle emissions, when any vehicle exceeds established emission thresholds, then the system should trigger an automated alert to the Fleet Operations Manager within 5 minutes of the data being recorded.

Data Accuracy and Validation Checks

Given that emissions data has been collected, when the data undergoes validation checks, then at least 95% of the data points should pass accuracy checks against industry standards and guidelines.

Reporting for Compliance and Sustainability Goals

Given the emissions data is collected and analyzed, when the Fleet Operations Manager generates a compliance report, then the report should clearly outline the fleet's emissions in relation to sustainability targets, including recommended actions and strategies to offset carbon emissions.

Carbon Offset Project Recommendations

User Story: As a Fleet Operations Manager, I want to receive tailored recommendations for carbon offset projects based on my fleet's emissions data so that I can effectively participate in climate action initiatives.
Description: The Carbon Offset Project Recommendations requirement involves creating an algorithm that analyzes the collected emissions data to recommend specific carbon offset projects tailored to each fleet's unique environmental impact. This feature will enhance user engagement in climate initiatives by providing them with viable options for offsetting their fleet's emissions. The recommendations will consider various factors such as project type, cost, and potential impact on the environment, allowing users to select projects that align with their corporate sustainability goals. This requirement is essential to foster responsible corporate practices and enhance FleetWise's service offerings.
Acceptance Criteria: Fleet Operations Manager accesses the Carbon Offset Recommendations feature after submitting their fleet's emissions data to analyze potential projects for carbon offsetting.

Given the Fleet Operations Manager has submitted emissions data, when they access the Carbon Offset Recommendations, then they should see a list of at least three tailored carbon offset project suggestions based on their fleet's emissions profile.

A Fleet Operations Manager reviews the suggested carbon offset projects and selects one for implementation, wanting to verify project details and impacts before proceeding.

Given the Fleet Operations Manager selects a project from the recommendations, when they view the project details, then they should see information on project type, cost, and estimated environmental impact clearly presented within 5 seconds.

The algorithm has been updated to incorporate new environmental impact factors, and the Fleet Operations Manager is testing its effectiveness in providing updated recommendations.

Given the algorithm has been updated, when the Fleet Operations Manager submits the same emissions data that was previously analyzed, then the recommendations should differ in at least one project option based on the new factors.

Fleet Operations Manager compares costs and impacts of carbon offset projects suggested by the algorithm to ensure alignment with corporate sustainability goals.

Given the Fleet Operations Manager is reviewing multiple project suggestions, when they analyze the cost and potential impact metrics, then the recommendations should include comparative analysis data to aid decision-making.

Fleet Operations Manager retrieves history of previous recommendations to assess the effectiveness of chosen projects in reducing their fleet's carbon footprint.

Given the Fleet Operations Manager requests the history of carbon offset recommendations, when they view the results, then they should see a log of past recommendations, including project outcomes and their impact on emissions reduction.

The Fleet Operations Manager wants to view user feedback on previously implemented carbon offset projects to evaluate their success and company satisfaction.

Given the Fleet Operations Manager selects a completed carbon offset project, when they access the user feedback section, then they should see consolidated feedback data from all users involved in the project implementation.

User Dashboard Integration

User Story: As a Fleet Operations Manager, I want the carbon offset project recommendations to be integrated into my dashboard so that I can easily access and monitor my sustainability initiatives in one place.
Description: The User Dashboard Integration requirement aims to incorporate the carbon offset recommendations into the FleetWise dashboard, providing users with a seamless experience when accessing their carbon offset options. This feature will allow Fleet Operations Managers to view emissions data, track recommended projects, and monitor their carbon offset progress from a single interface. By centralizing this information, the dashboard will increase user engagement and facilitate easier decision-making regarding sustainability efforts. This requirement is critical for ensuring users can effectively manage their fleet’s environmental impact within the existing FleetWise framework.
Acceptance Criteria: Viewing Carbon Offset Recommendations on the User Dashboard

Given the Fleet Operations Manager is logged into the FleetWise dashboard, when they navigate to the carbon offset section, then they should see a list of personalized carbon offset projects based on their fleet's emissions data, with clear metrics showing potential impact and costs.

Tracking Carbon Offset Project Progress

Given the Fleet Operations Manager has selected a specific carbon offset project, when they access the project's details from the dashboard, then they should see real-time updates on the status of the project and the amount of carbon offset achieved to date.

Accessing Emissions Data from the Dashboard

Given the Fleet Operations Manager is on the FleetWise dashboard, when they click on the emissions data widget, then they should see a comprehensive overview of their fleet's emissions metrics, including historical data and trends over time.

Engaging with Sustainability Recommendations

Given the Fleet Operations Manager is reviewing their carbon offset recommendations, when they click on a recommended project, then they should be directed to a detailed view that provides additional information, including partnership details and how to get involved.

Receiving Notifications for New Carbon Offset Projects

Given the Fleet Operations Manager is monitoring the dashboard, when new carbon offset projects become available that match their fleet's profile, then they should receive a notification alerting them of these new opportunities.

Filtering Carbon Offset Options Based on Criteria

Given the Fleet Operations Manager is viewing their carbon offset recommendations, when they use the filter options to sort by impact, cost, or project type, then the displayed recommendations should dynamically adjust to reflect the selected filters.

Generating Reports on Carbon Offset Activities

Given the Fleet Operations Manager wants to analyze their carbon offset efforts, when they select the reporting feature from the dashboard, then they should be able to generate a downloadable report that summarizes their offset projects and environmental impact.

Reporting and Analytics

User Story: As a Fleet Operations Manager, I want detailed reports on my fleet's emissions and carbon offset effectiveness so that I can evaluate my sustainability initiatives and communicate progress to stakeholders.
Description: The Reporting and Analytics requirement will provide users with detailed reports on their fleet’s emissions and the effectiveness of chosen carbon offset projects. This functionality will allow Fleet Operations Managers to measure their environmental impact over time, assess the performance of their sustainability initiatives, and make data-driven decisions to improve their carbon management strategies. The reports will also include visualizations and trends to help users understand their progress and communicate their achievements internally and externally. This requirement is vital for giving users the tools they need to demonstrate accountability and promote transparency in their sustainability efforts.
Acceptance Criteria: Fleet Operations Manager reviews emissions data and seeks recommendations for carbon offset projects based on the fleet’s performance.

Given the emissions data is available, when the Fleet Operations Manager accesses the Carbon Offset Recommendations feature, then a list of at least three tailored carbon offset projects should be displayed that align with the fleet’s emissions profile.

User generates a report on fleet emissions and evaluates the effectiveness of carbon offset initiatives over a specified period.

Given the user selects a date range for the report, when they generate the report, then it should include visualizations of emissions data and success metrics of carbon offset projects, with clear comparison visuals to track progress over time.

Fleet Operations Manager analyzes the impact of their chosen carbon offset projects on reducing the overall fleet emissions.

Given the reports generated on carbon offset projects, when the Fleet Operations Manager reviews the report, then it should show a quantifiable reduction in emissions due to the offset projects, displayed in both percentage and absolute value terms.

User wants to ensure data accuracy in reporting their environmental impact to stakeholders.

Given that the data for emissions and carbon offset projects are integrated from multiple sources, when the report is generated, then it should indicate any discrepancies in data sources, with alerts for missing or inaccurate data.

Fleet Operations Manager presents sustainability achievements during a stakeholder meeting.

Given the user has generated a comprehensive report, when presenting this report, then it should include key highlights, such as total emissions reduced, total investment in carbon offset projects, and visual aids for easy comprehension by stakeholders.

User wants to access the reporting and analytics feature from a mobile device to check real-time data.

Given that the FleetWise application is accessible via mobile, when the Fleet Operations Manager tries to open the Reporting and Analytics feature, then the application should load the relevant data without errors and provide responsive charts adapted for mobile view.

Fleet Operations Manager wishes to download a report for internal review.

Given that the user is on the report screen, when they select the option to download the report, then the report should be generated in a standard format (such as PDF or Excel), containing all visuals and data displayed on the screen.

Instant Diagnosis Tool

The Instant Diagnosis Tool enables Vehicle Maintenance Technicians to quickly analyze vehicle data and diagnose potential issues in real-time using AI algorithms. By instantly identifying problems, technicians can expedite decision-making and prioritize repairs, reducing vehicle downtime and ensuring operational efficiency.

Requirements

Real-time Data Integration

User Story: As a Vehicle Maintenance Technician, I want real-time access to vehicle data so that I can quickly diagnose any potential issues and minimize downtime during maintenance.
Description: The Real-time Data Integration requirement ensures that the Instant Diagnosis Tool can seamlessly import and process live vehicle data from various telemetry sources. This integration allows technicians to access up-to-date information about vehicle performance metrics, diagnostic trouble codes (DTCs), and historical maintenance records. By facilitating real-time data flows, this requirement supports immediate and accurate diagnostics, enabling technicians to respond swiftly to potential issues, ultimately enhancing vehicle uptime and operational efficiency.
Acceptance Criteria: Accessing Real-time Vehicle Data for Diagnosis

Given that the Instant Diagnosis Tool is connected to live vehicle telemetry sources, when a technician opens the tool, then the latest vehicle performance metrics and diagnostic trouble codes should be displayed within 5 seconds.

Historical Maintenance Record Retrieval

Given that the technician requires historical maintenance data, when they select a vehicle in the Instant Diagnosis Tool, then the system should retrieve and display maintenance records within 10 seconds.

Real-time Diagnostic Alerts

Given that the Instant Diagnosis Tool is analyzing live data, when a diagnostic trouble code is detected, then an alert should be generated and displayed within 3 seconds to the technician.

Multi-source Data Integration

Given that the Instant Diagnosis Tool needs to aggregate data from multiple telemetry sources, when the technician initiates data integration, then all relevant data sources should be successfully integrated and displayed without data loss.

User Interface Responsiveness

Given that the technician interacts with the Instant Diagnosis Tool, when they navigate through the options, then the user interface should remain responsive with no delays longer than 2 seconds during data visualization.

Data Accuracy Verification

Given that the Instant Diagnosis Tool imports live data, when the technician cross-checks the displayed vehicle metrics with telemetry source data, then the accuracy of the displayed metrics should be 95% or higher.

System Error Handling

Given that there may be interruptions in data flow, when a data error occurs, then the system should display a clear error message and allow the technician to retry data integration within 5 seconds.

AI-driven Diagnostic Algorithms

User Story: As a Vehicle Maintenance Technician, I want AI algorithms to analyze vehicle data so that I can quickly identify and prioritize repairs based on their urgency and impact on operations.
Description: The AI-driven Diagnostic Algorithms requirement involves leveraging advanced machine learning techniques to analyze vehicle data and identify anomalies or potential failures. This feature will enable the tool to prioritize the most critical issues based on historical data and predictive analytics. Implementing this requirement enhances decision-making for technicians, allowing them to focus on high-impact repairs and substantially reducing the risk of prolonged vehicle outages.
Acceptance Criteria: Vehicle Maintenance Technician utilizes the Instant Diagnosis Tool to assess a fleet vehicle's performance after a predefined maintenance schedule.

Given the technician has access to the Instant Diagnosis Tool, when they input the vehicle's ID, then the tool should display real-time vehicle data and highlight any potential issues in the diagnostic report.

Technician reviews the diagnostic report generated by the AI-driven Diagnostic Algorithms for a vehicle showing irregular performance metrics.

Given a vehicle has shown irregular performance metrics, when the technician accesses the diagnostic report, then the report should prioritize issues based on severity and likelihood of failure, displaying the most critical problems first.

The vehicle maintenance team needs to validate the accuracy of the AI-driven Diagnostic Algorithms in identifying issues across various vehicle types.

Given a fleet of varied vehicle types, when the maintenance team tests the Instant Diagnosis Tool on each vehicle type, then at least 90% of the identified anomalies should be consistent with the issues found during manual inspections.

Technician receives a notification of a potential vehicle issue detected through the Instant Diagnosis Tool during regular monitoring.

Given the fleet is being regularly monitored, when the AI algorithms detect a potential vehicle issue, then a notification should be sent to the technician's dashboard with accurate details and suggested actions.

The vehicle management system needs to integrate historical data with the Instant Diagnosis Tool for improved predictive analysis.

Given the historical vehicle maintenance data is available, when the Instant Diagnosis Tool performs analysis, then the predictions of potential failures should be at least 20% more accurate than previous algorithms used without historical context.

Technicians require a simplified user interface while accessing the diagnostic features of the tool.

Given that technicians are using the Instant Diagnosis Tool, when they navigate through the diagnostic interface, then they should be able to complete a diagnosis process within 10 minutes, reducing past average diagnosis times by at least 30%.

User-friendly Interface

User Story: As a Vehicle Maintenance Technician, I want an intuitive interface so that I can quickly navigate through the diagnostic results without needing extensive training on the software.
Description: The User-friendly Interface requirement mandates the development of an intuitive and accessible dashboard that allows technicians to easily navigate through vehicle data and diagnostic results. This interface should simplify interactions with the system, minimize training time, and enhance overall user experience. By providing clear visualizations and actionable insights, this requirement ensures that even less tech-savvy users can effectively utilize the Instant Diagnosis Tool, leading to rapid diagnosis and repair.
Acceptance Criteria: Technicians are tasked with diagnosing a vehicle that frequently shows performance issues during operational hours. They access the Instant Diagnosis Tool to analyze real-time vehicle data and evaluate diagnostic results to identify potential problems swiftly.

Given the technician has logged in to the Instant Diagnosis Tool, when they select a vehicle from the dashboard, then they should see a summary of real-time vehicle data and an AI-generated diagnostic report within 5 seconds.

A vehicle maintenance technician is using the Instant Diagnosis Tool to analyze a vehicle that has reported engine issues. The technician needs to find specific diagnostic information quickly to expedite repairs and minimize downtime.

Given the technician accesses the Instant Diagnosis Tool for a vehicle with reported issues, when they enter the vehicle identification number, then the interface should present a clear overview of diagnostic results and suggested priorities for repairs within 3 clicks.

During a training session, new technicians are being introduced to the Instant Diagnosis Tool. They must complete a task to analyze data on a vehicle's performance by navigating the dashboard and generating a diagnostic report with minimal assistance.

Given a new technician has completed initial training, when they are asked to generate a diagnostic report for a selected vehicle, then they should complete this task without assistance within a 10-minute timeframe, demonstrating the system's intuitiveness.

A technician needs to quickly assess the historical performance data of several vehicles in the fleet to prepare for a maintenance meeting. They require easy access to comparative analytics on multiple vehicles.

Given the technician is in the Instant Diagnosis Tool, when they select the ‘analytics’ section for comparative vehicle performance, then they should be able to view a side-by-side comparison chart of the selected vehicles' previous diagnostic issues and resolutions within 8 seconds.

After a software update to the Instant Diagnosis Tool, the technicians need to verify that the user interface changes have not adversely affected their ability to diagnose vehicle issues efficiently and effectively.

Given that the software update has been applied, when a technician uses the Instant Diagnosis Tool, then they should be able to access all functionalities of the previous version with no abnormalities in interface navigation or data retrieval efficiency, verified by user feedback from 5 technicians.

A technician with limited experience in using digital tools is assigned to use the Instant Diagnosis Tool after a brief overview. They should be able to identify and address a specific vehicle issue using the tool without additional training.

Given the technician with limited digital experience starts using the Instant Diagnosis Tool, when they attempt to diagnose a vehicle's fuel system issue, then they should successfully complete the diagnosis with a correct identification of the problem within 15 minutes.

Mobile Accessibility

User Story: As a Vehicle Maintenance Technician, I want to use the Instant Diagnosis Tool on my mobile device so that I can access diagnostic information and manage repairs while I am in the field.
Description: The Mobile Accessibility requirement ensures that the Instant Diagnosis Tool can be accessed via mobile devices, allowing technicians to receive notifications, access diagnostic results, and manage repairs on-the-go. This capability significantly enhances flexibility, as technicians can conduct diagnostics directly from their service vehicles or while in the field. Enabling mobile access helps reduce response times and improves the workflow for maintenance operations.
Acceptance Criteria: Accessing the Instant Diagnosis Tool while on a service call in a remote location.

Given a technician is logged into the FleetWise mobile app, when they are in a remote location with limited connectivity, then they should be able to access vehicle diagnostic results without any interruptions and receive push notifications for any new issues.

Receiving real-time alerts for diagnostic issues while driving.

Given a technician is driving to a service location, when a critical diagnostic issue is identified by the Instant Diagnosis Tool, then the technician should receive a real-time alert on their mobile device, ensuring immediate awareness of the issue.

Updating repair statuses directly from a mobile device.

Given a technician has completed a repair, when they update the repair status in the mobile app, then the respective vehicle's maintenance record should reflect the update in real-time on both the technician's device and the main FleetWise dashboard.

Logging in to the Instant Diagnosis Tool with biometric authentication.

Given a technician attempts to log into the FleetWise mobile app, when biometric authentication (fingerprint or face recognition) is enabled, then the technician should be able to access the tool securely without entering a password.

Navigating the mobile interface for diagnostics.

Given a technician is using the FleetWise mobile app, when they are accessing the Instant Diagnosis Tool, then the interface should provide clear, intuitive navigation with all diagnostic data easily accessible within three taps.

Syncing diagnostic data when mobile connectivity is restored.

Given a technician performed diagnostics while offline, when the mobile device reconnects to the internet, then all diagnostic data should automatically sync with the FleetWise central database without any data loss or errors.

Utilizing offline access for diagnostic results.

Given a technician is in an area with no network coverage, when they open the FleetWise mobile app, then they should still be able to view previously accessed diagnostic results without needing an internet connection.

Comprehensive Reporting Features

User Story: As a Fleet Manager, I want the Instant Diagnosis Tool to generate detailed reports on vehicle performance and maintenance needs so that I can make informed decisions regarding fleet management and planning.
Description: The Comprehensive Reporting Features requirement focuses on enabling the Instant Diagnosis Tool to generate detailed reports on vehicle health, repair history, and predictive maintenance needs. These reports should be customizable and exportable, providing valuable insights for fleet managers and maintenance teams. This functionality not only supports better decision-making through data analytics but also aids in regulatory compliance and long-term strategic planning for fleet maintenance.
Acceptance Criteria: Vehicle Maintenance Technicians use the Instant Diagnosis Tool to analyze vehicle data during routine inspections and need a detailed report of vehicle health and potential maintenance issues.

Given a Vehicle Maintenance Technician has accessed the Instant Diagnosis Tool, when they request a report, then the tool should generate a comprehensive report that includes vehicle health, repair history, and predictive maintenance needs within 30 seconds, with at least 95% accuracy based on analyzed data.

Fleet managers require customizable reports to present to stakeholders, showcasing key vehicle metrics to support strategic planning.

Given that a fleet manager is using the Instant Diagnosis Tool, when they select customization options for the report, then the tool should allow for at least three different customizable parameters (e.g., date range, vehicle type, specific metrics) and generate a report that reflects those criteria accurately.

Maintenance teams need to export vehicle reports for regulatory compliance and documentation during audits.

Given a maintenance team member is viewing a comprehensive report in the Instant Diagnosis Tool, when they choose to export the report, then the tool should provide export options in at least two formats (PDF and Excel) and successfully complete the export process without data loss or corruption.

Fleet managers need to review historical repair data to identify recurring issues for proactive maintenance planning.

Given a fleet manager is using the Instant Diagnosis Tool, when they request historical repair data for a specific vehicle, then the tool should provide a detailed summary of previous repairs along with trends identified over time, within 15 seconds of the request.

Vehicle Maintenance Technicians need to access reports on predictive maintenance needs to prioritize workflows efficiently.

Given a Vehicle Maintenance Technician has accessed the Instant Diagnosis Tool, when they request information on predictive maintenance needs, then the tool should deliver a prioritized list of upcoming maintenance tasks based on urgency and potential impact on vehicle performance.

Fleet managers want to assess the overall health of the entire fleet using the reporting features in the Instant Diagnosis Tool.

Given a fleet manager accesses the Instant Diagnosis Tool, when they generate a fleet-wide health report, then the tool should compile data for all vehicles and present an aggregated view of health status, highlighting any vehicles requiring immediate attention, within 45 seconds of the request.

Maintenance teams require insights from reports to understand cost implications of maintenance needs and repairs.

Given that a maintenance team member is reviewing a specific vehicle report, when they look for cost analysis insights, then the report should include a clear summary of estimated costs for predicted maintenance tasks based on historical repair costs and parts pricing, presented in a visually understandable format.

Maintenance History Tracker

The Maintenance History Tracker provides a comprehensive overview of each vehicle's repair and service history directly within the app. This feature allows technicians to quickly access past maintenance records, identify recurring issues, and make informed recommendations for future services, enhancing overall maintenance effectiveness.

Requirements

Vehicle Service Notification

User Story: As a fleet manager, I want to receive automated notifications for upcoming vehicle services so that I can ensure timely maintenance and prevent unexpected breakdowns.
Description: The Vehicle Service Notification requirement involves implementing an automated alert system that notifies fleet managers and technicians when a vehicle is due for maintenance based on the recorded maintenance history and schedules. This feature enhances proactive maintenance management by ensuring that vehicles receive timely attention, reducing the risk of unexpected breakdowns. It integrates seamlessly with the Maintenance History Tracker, allowing users to view the service history alongside upcoming service notifications. The expected outcome is improved vehicle reliability and minimized downtime, ultimately optimizing fleet operations.
Acceptance Criteria: Fleet managers and technicians receive automated notifications for scheduled vehicle maintenance based on the recorded history of services and repairs in the Maintenance History Tracker.

Given the maintenance history of a vehicle, when the notification system checks for upcoming service dates, then fleet managers and technicians should receive an alert at least 7 days prior to the due date for maintenance.

Technicians access the Maintenance History Tracker to review past maintenance records and identify recurring issues before performing scheduled maintenance.

Given a technician accesses the Maintenance History Tracker, when they select a vehicle, then they must be able to view a complete list of past maintenance entries sorted by date, along with details of each service performed.

Notifications are generated correctly based on the maintenance schedules stored in the system, preventing any missed vehicle servicing.

Given the vehicle’s maintenance schedule, when the notification system reviews the service dates, then it should accurately generate notifications within the specified time frame (e.g., 30 days before the due date, 7 days before, and on the due date).

Fleet managers can acknowledge and clear maintenance notifications from the system.

Given an active maintenance notification, when the fleet manager acknowledges the notification, then the notification must be marked as ‘acknowledged’ and removed from the upcoming alerts list for that vehicle.

Users can view all vehicle service notifications alongside maintenance history within the app seamlessly.

Given a user accesses the Maintenance History Tracker, when they select a vehicle with service notifications, then they should see both the service history and the corresponding notifications displayed in an integrated view.

Notifications are sent via multiple communication channels, ensuring all relevant personnel are informed of due maintenance.

Given the notification preferences set by users, when a maintenance alert is generated, then the system must send notifications via email and in-app alerts to all designated personnel associated with that vehicle.

The system logs all maintenance notifications for auditing purposes, ensuring compliance and accountability.

Given a maintenance notification is generated, when the system processes the notification, then it must create a log entry capturing the vehicle ID, notification time, and user interactions (such as acknowledgment) for future audits.

Detailed Service Record Search

User Story: As a technician, I want to search and filter the maintenance records so that I can quickly find relevant information for making informed service recommendations.
Description: The Detailed Service Record Search requirement involves creating a robust search functionality within the Maintenance History Tracker that allows users to filter and search for specific maintenance records based on various criteria such as date, type of service, or vehicle ID. This feature enables technicians and fleet managers to quickly find relevant service history and insights, making it easier to identify patterns and address recurring issues. The integration with existing databases must ensure quick access and result accuracy. The expected outcome is enhanced efficiency in maintenance planning and decision-making.
Acceptance Criteria: User searches for maintenance records by date.

Given a user is on the Maintenance History Tracker page, when the user selects a specific date range and clicks 'Search', then relevant maintenance records within that date range should be displayed on the screen.

User filters maintenance records by type of service.

Given a user is on the Maintenance History Tracker page, when the user selects a specific type of service from the filter options and clicks 'Apply Filters', then only maintenance records matching the selected service type should be displayed.

User searches for records using vehicle ID.

Given a user is on the Maintenance History Tracker page, when the user inputs a valid vehicle ID into the search bar and hits 'Enter', then the system should display all maintenance records associated with that vehicle ID.

User views the details of a selected maintenance record.

Given a user sees a list of search results, when the user clicks on a specific maintenance record, then the system should display a detailed view of that record, including service date, type, and comments from the technician.

User accesses the maintenance records quickly after search execution.

Given various maintenance records exist, when the user performs a search, then the records should load within 2 seconds to ensure efficiency in accessing service history.

User applies multiple filters to refine the search results.

Given a user is on the Maintenance History Tracker page, when the user selects multiple filtering criteria (date range, service type, vehicle ID) and clicks 'Search', then only records that match all selected criteria should be displayed.

User receives feedback when no records match the search criteria.

Given a user has entered search criteria that do not match any maintenance records, when the user clicks 'Search', then the system should display a message indicating that no records were found and suggest alternate search criteria.

Recurring Issue Identification

User Story: As a fleet technician, I want to be alerted to recurring issues in the service history of vehicles so that I can address these problems proactively and improve vehicle reliability.
Description: The Recurring Issue Identification requirement focuses on utilizing historical data to analyze and highlight recurring maintenance issues across the fleet. By implementing data analytics and machine learning algorithms, this feature will identify patterns in the service history, presenting flagged issues to technicians for further investigation. By integrating this requirement with the Maintenance History Tracker, the fleet management system can provide actionable insights and foster preventative measures. The outcome will facilitate improved maintenance strategies and increased vehicle uptime.
Acceptance Criteria: Use Case for Recurring Maintenance Issues Identification

Given a vehicle with past maintenance records, when the technician inputs the vehicle ID and requests to view recurring issues, then the system should display a list of flagged recurring maintenance issues and suggest preventive measures.

Data Analytics Integration with Maintenance History Tracker

Given the historical maintenance data for the fleet, when the machine learning algorithm analyzes the data, then it should correctly identify at least 80% of the recurring issues based on predefined criteria.

Technician Review of Recurring Issues Alerts

Given the alerts for recurring issues presented to a technician, when the technician reviews the alerts, then the technician should be able to acknowledge or dismiss each alert with the option to attach comments for further documentation.

User Experience of Maintenance History Tracker

Given a technician using the Maintenance History Tracker, when they navigate to the recurring issues section, then they should find the interface intuitive, with less than 3 clicks needed to access detailed information on any flagged issue.

Reporting on Recurring Issues Over Time

Given the data collected from recurring issues, when a monthly report is generated, then the report should accurately reflect trends in recurring issues across the fleet and suggest potential strategies for improvement.

Feedback Loop for Continual Improvement

Given the flagged recurring issues and technician feedback, when the system compiles the feedback for review, then the system should be able to enhance its analysis algorithms based on at least 75% of the feedback received.

Management Overview of Efficiency Gains

Given the implementation of recurring issue identification, when management reviews fleet efficiency metrics, then they should observe a measurable increase in vehicle uptime by at least 10% within three months post-implementation.

Comprehensive Maintenance Reporting

User Story: As a fleet manager, I want to generate comprehensive reports on vehicle maintenance history so that I can analyze trends and optimize our maintenance budget.
Description: The Comprehensive Maintenance Reporting requirement involves developing a reporting tool that aggregates maintenance history data into insightful reports. Fleet managers will be able to generate reports detailing maintenance costs, frequency of repairs, and vehicle performance metrics over time. This reporting feature will be integrated with the existing Maintenance History Tracker, providing a seamless experience and enhancing decision-making through data-driven insights. The anticipated outcome is better financial management of fleet maintenance and more strategic planning based on historical performance.
Acceptance Criteria: Fleet manager generates a maintenance report for a specific vehicle to analyze its repair history and maintenance costs before making a service decision.

Given that the fleet manager selects a vehicle and specifies the time range, when they request a maintenance report, then the system should generate a report that includes total maintenance costs, frequency of repairs, and performance metrics for the chosen period.

Technicians review maintenance reports to compare vehicles' performance metrics and identify those that need immediate attention.

Given that multiple maintenance reports are available, when the technicians compare performance metrics across vehicles, then they should be able to identify and rank vehicles based on maintenance costs and frequency of repairs, highlighting those needing priority service.

A fleet manager uses the report to assess and justify budget allocation for preventive maintenance based on prior data.

Given that a comprehensive maintenance report is generated, when the fleet manager presents this report to stakeholders, then they should be able to demonstrate a decrease in maintenance costs and increased vehicle uptime, reinforcing the need for future budget allocations towards preventive maintenance.

Fleet manager wants to track maintenance trends over the past year to make informed decisions for the upcoming maintenance schedule.

Given that a year’s worth of maintenance data is accessible, when the fleet manager generates a trend report, then the report must accurately display monthly maintenance costs, repair frequencies, and corresponding vehicle performance metrics, enabling strategic planning.

Technicians access the maintenance history data through the application to identify recurring issues in vehicles.

Given that the maintenance history is integrated within the app, when a technician views a vehicle's maintenance record, then they should see a clear summary of repairs, highlighting recurring issues with suggested future services based on the data.

User Role-Based Access Control

User Story: As an administrator, I want to set role-based access controls for maintenance records so that I can ensure that sensitive information is protected and only accessible to authorized users.
Description: The User Role-Based Access Control requirement ensures that only authorized personnel can view or edit the maintenance records within the Maintenance History Tracker. By implementing user role definitions and access levels, the system will enhance data security and integrity. Different roles, such as fleet managers, technicians, and administrators, will have tailored access rights based on their job functions. This feature is critical for protecting sensitive maintenance data and ensuring compliance with organizational policies. The expected outcome is improved data security and user accountability.
Acceptance Criteria: Access Control for Fleet Managers

Given that a user has the role of Fleet Manager, when they attempt to access the Maintenance History Tracker, then they should be able to view and edit all maintenance records associated with the fleet's vehicles.

Access Control for Technicians

Given that a user has the role of Technician, when they attempt to access the Maintenance History Tracker, then they should be able to view maintenance records but not edit them.

Access Control for Administrators

Given that a user has the role of Administrator, when they log into the system, then they should have full access to view, edit, and manage all user roles and maintenance records.

Unauthorized Access Prevention

Given that a user tries to access the Maintenance History Tracker without appropriate role permissions, when they attempt to view or edit a record, then the system should display an 'Access Denied' message.

Role Definition Validation

Given the defined user roles, when new roles are added or existing roles are modified, then the system should update the access control lists accordingly without impacting existing user permissions.

Audit Trail for Access Changes

Given that a user accesses the Maintenance History Tracker, when they perform any change in access rights or view records, then the system should log these actions with a timestamp and user ID for audit purposes.

On-Site Repair Guidance

On-Site Repair Guidance offers step-by-step troubleshooting instructions and video tutorials tailored to specific vehicle makes and models. This feature empowers technicians to perform repairs efficiently with access to detailed guidance right on their mobile devices, reducing repair times and enhancing technician confidence.

Requirements

Step-by-step Troubleshooting Guide

User Story: As a vehicle technician, I want access to a step-by-step troubleshooting guide for my specific vehicle model so that I can quickly diagnose and fix issues at the site without delay.
Description: The On-Site Repair Guidance feature must include a comprehensive, step-by-step troubleshooting guide that is searchable by vehicle make and model. This guide will provide technicians with precisely tailored instructions that help them diagnose and solve issues in real-time, significantly reducing repair times and improving first-time fix rates. The troubleshooting guide should also integrate seamlessly with FleetWise's mobile application, allowing technicians convenient access while on site, enhancing usability and effectiveness. The availability of this resource will boost technician confidence and reduce dependency on managerial support during repairs.
Acceptance Criteria: Technicians need to access the troubleshooting guide through the FleetWise mobile application while performing repairs on-site to quickly resolve vehicle issues.

Given a technician is logged into the FleetWise mobile application, when they search for a specific vehicle make and model, then the application displays the relevant step-by-step troubleshooting guide.

A technician encounters a problem that requires immediate assistance, and they want to find a detailed troubleshooting guide for their specific vehicle model on their mobile device.

Given a technician selects a vehicle model from the troubleshooting guide, when they follow the listed steps, then they are able to complete repairs accurately without additional managerial support.

Technicians need to ensure the troubleshooting information is user-friendly and helpful while diagnosing vehicle issues on-site.

Given a technician is using the step-by-step troubleshooting guide, when they rate the guide after completing a repair, then at least 80% of the ratings should be positive (4 or 5 stars) indicating the guide was helpful and easy to follow.

Technicians utilize the troubleshooting guide to enhance their repair process and improve first-time fix rates for complex vehicle issues.

Given technicians complete repairs using the troubleshooting guide, when tracking first-time fix rates over a month, then the rate should increase by 15% compared to the previous month without the guide.

The troubleshooting guide should integrate seamlessly into the FleetWise mobile application to provide a smooth user experience.

Given a technician navigates within the FleetWise mobile application, when accessing the troubleshooting guide, then there should be no loading delays longer than 2 seconds for any guide content.

Technicians require video tutorials to complement the troubleshooting guides while addressing vehicle repairs.

Given a technician is viewing the troubleshooting guide, when they see an option to play a corresponding video tutorial, then the video should load within 3 seconds and provide relevant visual instructions that align with the text guide.

Video Tutorials for Common Repairs

User Story: As a vehicle technician, I want to watch video tutorials that show me how to perform common repairs, so that I can improve my skills and reduce the time spent on each job.
Description: This requirement encompasses the creation and integration of instructional video tutorials that demonstrate common repair processes for a variety of vehicles. These videos should be categorized by make, model, and type of repair, enabling technicians to find relevant content rapidly. The tutorials will help to visually guide technicians through the repair process, complementing the written instructions and addressing any confusion that may arise in text-based guides. This multimedia approach will foster a more intuitive learning experience and can also be accessed via mobile devices for on-the-go support.
Acceptance Criteria: Accessing Repair Video Tutorials on Mobile Devices

Given a technician is logged into the FleetWise platform on their mobile device, when they navigate to the On-Site Repair Guidance section and select a vehicle make and model, then they should see a list of relevant video tutorials that load successfully without errors.

Searching for Specific Repair Videos

Given a technician is on the Repair Guidance section, when they use the search functionality to enter a specific repair term (e.g., 'brake replacement'), then they should retrieve a list of all video tutorials related to that repair for different vehicle makes and models.

Viewing Video Tutorials

Given a technician has selected a video tutorial, when they click on the play button, then the video should start playing with no buffering and should include clear audio and visuals throughout the entire duration.

Testing Video Tutorial Effectiveness

Given a technician has watched a video tutorial and completed the corresponding repair, when they provide feedback on the tutorial, then at least 80% of surveyed technicians should rate the video as 'helpful' or 'very helpful.'

Categorization of Video Tutorials

Given the video tutorial library is populated, when a technician selects a specific vehicle make and model, then the tutorials should be organized in logical categories by repair type (e.g., engine, transmission, brakes), ensuring easy navigation.

Integration with Written Instructions

Given a technician is viewing a video tutorial, when they access the accompanying written instructions, then the instructions should correspond directly to the video content, ensuring a cohesive learning experience.

Integration with Vehicle Diagnostic Tools

User Story: As a vehicle technician, I want the On-Site Repair Guidance to integrate with my diagnostic tools, so that I can receive real-time data and make more informed repair decisions.
Description: The On-Site Repair Guidance feature must integrate with existing vehicle diagnostic tools to provide technicians with live data and diagnostic codes for real-time troubleshooting. This integration will enable technicians to correlate vehicle symptoms with potential issues directly in the guidance interface, making the repair process more efficient and informed. By leveraging the vehicle's onboard diagnostics, the guidance provided will be more accurate, ensuring that technicians can address issues based on solid data rather than assumptions, enhancing the effectiveness of repairs.
Acceptance Criteria: Integration of Vehicle Diagnostic Tools with On-Site Repair Guidance for Real-time Data Access

Given a technician has access to the On-Site Repair Guidance feature, when they connect the vehicle diagnostic tool, then they should see real-time vehicle data and diagnostic codes integrated into the interface within 5 seconds.

User Accessibility to Vehicle Data via Mobile Devices

Given a mobile device running FleetWise, when a technician selects a specific vehicle model in On-Site Repair Guidance, then they should be able to access the corresponding diagnostic data without any lag or error.

Effectiveness of Troubleshooting Steps Provided with Live Data

Given that the technician accesses the On-Site Repair Guidance with diagnostic data, when they follow the provided troubleshooting steps based on the live data, then they should be able to resolve the issue successfully at least 90% of the time within an average time of 30 minutes.

Accuracy of Integrated Diagnostic Codes Displayed

Given that the technician is using the On-Site Repair Guidance feature, when they view the diagnostic codes, then the codes displayed must match the information reported by the vehicle’s onboard diagnostic system with 100% accuracy.

Impact of the Integration on Repair Time Reduction

Given the implementation of the integration, when comparing repair times before and after using the On-Site Repair Guidance with live diagnostic data, then there should be a reduction in average repair time by at least 15% across the board.

User Feedback on the Integration Experience

Given that technicians have used the On-Site Repair Guidance after integration with diagnostic tools, when surveyed about their experience, then at least 80% should report that the integration improved their repair efficiency and confidence.

Offline Access for Mobile Application

User Story: As a vehicle technician, I want to access troubleshooting guides and video tutorials offline, so that I can continue my work seamlessly even in areas with no internet connection.
Description: This requirement ensures that the On-Site Repair Guidance feature includes an offline mode within the FleetWise mobile application. Technicians often work in areas with limited internet connectivity, so having access to all troubleshooting guides and video tutorials offline will enable them to perform repairs without disruption. The mobile application should automatically download and cache relevant content when connected to Wi-Fi, ensuring that technicians can retrieve necessary information, even when they are not online. This feature is critical for the practical application of the guidance during fieldwork.
Acceptance Criteria: Technician accessing troubleshooting guides and video tutorials offline in an area with no internet connectivity.

Given that a technician is in a location without internet connectivity, When they open the FleetWise mobile application, Then they should be able to access all previously downloaded troubleshooting guides and video tutorials without any errors.

Technician downloading content while connected to Wi-Fi to ensure offline access.

Given that a technician is connected to Wi-Fi, When they open the FleetWise mobile application, Then all relevant troubleshooting guides and video tutorials should automatically start downloading and caching for offline access.

Technician verifying the availability of content offline after being downloaded.

Given that a technician has downloaded troubleshooting guides and video tutorials while connected to Wi-Fi, When they check the offline content in the FleetWise mobile application, Then they should see the downloaded content available for access.

Handling a case where there is insufficient storage to download content.

Given that a technician's mobile device does not have enough storage space, When the FleetWise mobile application tries to download troubleshooting guides and video tutorials, Then it should display an appropriate error message indicating low storage and stop the download process.

Ensuring content is up to date when connected to Wi-Fi.

Given that a technician connects to Wi-Fi, When the FleetWise mobile application is opened, Then it should check for and download any updates to troubleshooting guides and video tutorials to ensure the latest information is available offline.

Technician seamlessly switching between online and offline mode in the application.

Given that a technician has opened the FleetWise mobile application with an active internet connection, When they then go into offline mode, Then the application should seamlessly transition without crashing and retain access to downloaded content.

User Feedback Loop for Content Improvement

User Story: As a vehicle technician, I want to provide feedback on the troubleshooting guides, so that I can help improve the resources for myself and my colleagues.
Description: To continuously enhance the effectiveness of the On-Site Repair Guidance, this requirement involves implementing a user feedback loop where technicians can provide ratings and comments for troubleshooting guides and video tutorials. This feedback will be used to assess the clarity and usefulness of the content, enabling the product team to make iterative improvements based on real-world user experiences. The feedback collection system should be easy to use and integrated within the mobile app, thus fostering a culture of continuous improvement and user involvement in content development.
Acceptance Criteria: Technicians submit feedback after using the On-Site Repair Guidance feature during a repair job on a specified vehicle model.

Given a technician is using the mobile app, When they complete a repair and are prompted for feedback, Then they should be able to rate the content on a scale from 1 to 5 and leave comments.

The feedback loop integrates user feedback into the app's content recommendation engine for continuous improvement.

Given feedback has been submitted, When the product team reviews the feedback data, Then at least 75% of the received comments should lead to identified areas for improvement or updates in the troubleshooting content.

Technicians access video tutorials for a specific vehicle make and model and provide feedback on the clarity of the instructions.

Given a technician watches a video tutorial, When they complete the video, Then they should receive a prompt to rate the tutorial's clarity on a scale from 1 to 5 and provide optional comments.

User feedback is tracked for each troubleshooting guide and video tutorial over a set period for evaluation.

Given that feedback has been continuously collected for 30 days, When the product team analyzes the feedback data, Then they should be able to generate a report showing average ratings and common comments for each piece of content.

The mobile app shows notifications for updated troubleshooting guides based on user feedback.

Given that updates have been made to troubleshooting content, When a technician logs into the mobile app, Then they should receive a notification about the updated content related to the vehicle models they frequently work with.

Technicians easily navigate the feedback system within the app after using the On-Site Repair Guidance.

Given a technician is on the content page, When they select the option to provide feedback, Then the system should open a simple form requiring no more than 3 clicks to complete the feedback submission.

Users find training or onboarding tutorials for the feedback system accessible and straightforward.

Given a new technician uses the app, When they access the help section for feedback, Then they should be able to view a brief tutorial (max 2 minutes long) explaining how to submit feedback easily.

Inventory Status Viewer

The Inventory Status Viewer allows technicians to check the availability and location of necessary spare parts and tools in real-time from their mobile devices. By ensuring that technicians can see what is available before they begin repairs, this feature minimizes delays and improves repair efficiency.

Requirements

Real-Time Inventory Tracking

User Story: As a technician, I want to check the availability of spare parts in real-time so that I can ensure I have everything I need to complete repairs without unnecessary delays.
Description: The Real-Time Inventory Tracking requirement involves integrating a system that provides live updates on the availability and location of spare parts and tools within the fleet. This feature will utilize mobile and cloud technology to ensure technicians can access accurate inventory data from anywhere. The benefit of this requirement is that it helps minimize downtime during repairs by ensuring that technicians can confirm the availability of necessary parts before starting work. This will enhance operational efficiency, reduce delays, and ultimately contribute to increased vehicle uptime and lower operational costs.
Acceptance Criteria: Technician accesses the Inventory Status Viewer to locate necessary spare parts before starting a repair.

Given the technician is logged into the Inventory Status Viewer, when they search for a specific spare part, then the system displays real-time availability and location details.

A technician checks the Inventory Status Viewer on their mobile device during a repair job.

Given the technician is at the repair location, when they refresh the Inventory Status Viewer, then they should see the latest updates on inventory status without any time lag.

An inventory update is made after a part is used in a repair.

Given an inventory item is used, when the technician updates the inventory status, then the system accurately updates the availability count and logs the change with a timestamp.

A technician encounters a situation where the Inventory Status Viewer indicates a part is available, but it cannot be found.

Given the inventory status shows the part as available, when the technician goes to the specified location and the part is missing, then the system prompts to report the discrepancy and provides a feedback option.

Performing a bulk inventory check to update the current status of all spare parts.

Given a user selects the option for a bulk inventory check, when they execute the check, then the system should accurately reflect the available quantities of all spare parts within five minutes of completion.

Technician receives a notification about low stock for a critical part.

Given the stock level for a critical part falls below a predetermined threshold, when the system detects this, then it should automatically notify relevant personnel via email and within the app.

A historical report is generated for inventory usage over the past month.

Given an administrator requests a monthly inventory usage report, when the request is processed, then the system generates a report showing usage trends, critical stock levels, and parts that are frequently out of stock.

Mobile Access

User Story: As a technician, I want to access inventory data on my mobile device so that I can quickly check for parts while I'm on-site to expedite the repair process.
Description: The Mobile Access requirement mandates that the Inventory Status Viewer feature be fully accessible on mobile devices, allowing technicians to view inventory status from their smartphones or tablets. This will require a responsive design and mobile app development to ensure that functionality is seamless across devices. The value of this requirement lies in its ability to enable technicians to check inventory while on the go, increasing flexibility and responsiveness to repair needs on the ground. Providing mobile access also enhances user experience, as technicians will have important information readily available whenever and wherever they need it.
Acceptance Criteria: Mobile Technician Access to Real-Time Inventory

Given the technician is logged into the FleetWise mobile application, when they navigate to the Inventory Status Viewer, then they should see an up-to-date list of available spare parts and tools with their respective locations within 2 seconds of loading the page.

Performance Under Poor Network Conditions

Given the technician is using the FleetWise mobile application in an area with low connectivity, when they try to access the Inventory Status Viewer, then they should be able to access cached data and see the last available inventory status without significant delays.

User Interface on Mobile Devices

Given the technician opens the Inventory Status Viewer on a mobile device, when they interact with the interface, then all buttons and controls should be responsive and touch-friendly, adhering to mobile UI design standards, with no overlapping elements.

Search Functionality for Spare Parts

Given the technician is viewing the Inventory Status Viewer, when they perform a search for a specific spare part, then the system should return all relevant results with details such as availability and location within 3 seconds.

Secure User Login for Inventory Access

Given a technician is on the login page of the FleetWise mobile application, when they enter their credentials, then their access should be authenticated securely, allowing access to the Inventory Status Viewer only after a successful login and maintaining session security.

Compatibility Across Different Mobile Devices

Given different mobile devices being used by technicians, when the Inventory Status Viewer is opened on various smartphones and tablets, then it should render correctly and function seamlessly without any compatibility issues across all major operating systems (iOS and Android).

Feedback Mechanism for Inventory Availability

Given a technician checks the Inventory Status Viewer, when they report a discrepancy in the availability of spare parts, then there should be a user-friendly feedback form that submits the report to inventory management within 1 minute.

User Notification System

User Story: As a technician, I want to receive notifications about inventory changes so that I can stay informed and adjust my repair schedule accordingly to minimize downtime.
Description: The User Notification System requirement involves implementing alerts and notifications for technicians regarding inventory updates, low stock alerts, and order confirmations. This system will ensure technicians are informed in real-time about any changes in inventory status that may affect their repair tasks. The benefit of this requirement is that it creates a proactive approach in inventory management, allowing technicians to adjust their plans according to current availability and preventing delays caused by unanticipated shortage of parts.
Acceptance Criteria: Technician receives real-time low stock alert for a critical spare part while preparing for a repair task.

Given that the inventory falls below the predefined threshold, when the technician checks their notifications, then they should receive an immediate alert about the low stock status of the critical spare part.

Technician confirms receipt of a newly ordered spare part through the User Notification System.

Given that an order for spare parts has been placed, when the order is confirmed by the supplier, then the technician should receive a notification confirming the arrival of the ordered parts.

Technician views the updated inventory status for a specific tool while planning a repair operation.

Given that the technician accesses the Inventory Status Viewer, when they search for a specific tool, then the viewer should display the current availability and location of that tool in real-time.

Technician is alerted about an unexpected inventory update that could impact their scheduled tasks.

Given that there is an update in inventory (addition or removal of items), when the inventory is updated, then all technicians should receive a notification detailing the changes that occurred.

Technician checks inventory prior to commencing a repair to ensure all necessary parts are available.

Given that the User Notification System is operational, when the technician checks inventory status before repairs, then they should see the accurate status of all required parts and receive alerts for any that are low in stock.

Technician receives a reminder notification about upcoming inventory checks to ensure efficient inventory management.

Given that the inventory check schedule is set, when the scheduled time for inventory check approaches, then the technician should receive a reminder notification to perform the check.

Inventory system generates a report of frequent low stock items for proactive reordering.

Given that the User Notification System tracks inventory levels, when the system compiles the report, then it should accurately enumerate items that frequently reach low stock status and recommend reordering actions.

Search and Filter Functionality

User Story: As a technician, I want to filter inventory search results so that I can quickly find the exact parts I need without wasting time looking through unrelated items.
Description: The Search and Filter Functionality requirement focuses on allowing technicians to search for specific parts or tools and filter results based on various criteria, such as availability, location, or part type. By enhancing the Inventory Status Viewer with this feature, technicians will be able to quickly locate the exact spare parts they need without sifting through lengthy lists. This improvement will save time, improve efficiency, and help technicians make informed decisions rapidly, leading to more streamlined repair processes.
Acceptance Criteria: Technician Accesses Inventory Status Viewer to Search for a Part.

Given the technician is on the Inventory Status Viewer, when they input a specific part name into the search bar, then the system should return a list of matching parts with relevant details such as availability and location.

Technician Applies Filters to Narrow Down Search Results.

Given the technician is viewing the search results, when they apply filters for availability and location, then the system should only display parts that meet the selected criteria with an accurate count of results.

Technician Searches for a Part by Part Type.

Given the technician needs a specific type of part, when they select the part type filter and search for a part, then the system should only show results that match the selected part type without any irrelevant items.

Technician Receives No Results for an Unavailable Part.

Given the technician searches for a part that is not available in the inventory, when they perform the search, then the system should display a message indicating that no matching parts were found.

Technician Views Detailed Information for a Selected Part.

Given the technician has found a part in the search results, when they click on the part, then the system should display detailed information about that part, including its location, availability, and any related notes.

Technician Saves Search Preferences for Future Use.

Given the technician has applied filters and entered search criteria, when they choose to save their search preferences, then the system should save the selected filters and criteria for quick access in future searches.

Technician Accesses Recent Searches for Quick Lookup.

Given the technician has previously searched for parts, when they navigate to the recent searches option, then the system should display a list of their last five searches for quick retrieval.

Integration with Maintenance Scheduling

User Story: As a maintenance planner, I want to integrate inventory status with our scheduling system so that I can ensure repairs can be executed efficiently based on part availability.
Description: The Integration with Maintenance Scheduling requirement entails connecting the Inventory Status Viewer with existing maintenance scheduling systems to ensure that upcoming maintenance tasks are aligned with part availability. This integration will help schedule repairs in a way that maximizes the use of available parts and minimizes downtime. It will enhance communication between maintenance planners and technicians, leading to more coordinated efforts and efficient workflow across the fleet management process.
Acceptance Criteria: Integration with Maintenance Scheduling to allow technicians to view spare parts availability before scheduled repairs begin.

Given a scheduled maintenance task, when a technician accesses the Inventory Status Viewer, then they must see real-time availability of spare parts required for that task.

Ensure that technicians receive notifications when spare parts become available after initially being out of stock.

Given a technician has requested a part that is out of stock, when the part becomes available, then the technician should receive a notification on their mobile device.

Facilitate communication between maintenance planners and technicians regarding part availability and repair schedules.

Given a scheduled maintenance planning meeting, when the meeting occurs, then both planners and technicians can view the Inventory Status Viewer to align on available parts and scheduled tasks.

Enable filtering options for technicians to sort available spare parts by location and type.

Given the Inventory Status Viewer interface, when a technician selects filters for parts by location and type, then only relevant spare parts should be displayed based on those filters.

Allow maintenance planners to generate reports on part usage rates and availability for better planning.

Given a maintenance planner accessing the Inventory Status Viewer, when they request a parts availability report, then a detailed report with usage metrics and current availability should be generated.

Track the status of repair jobs based on part availability to automate rescheduling.

Given an ongoing repair job, when parts required for that job are unavailable, then the system should automatically update the job's status and notify relevant stakeholders for rescheduling.

Push Notification Alerts

Push Notification Alerts inform Vehicle Maintenance Technicians of critical events, such as maintenance due dates or urgent repairs needed on vehicles. This proactive communication enhances timely responses and allows technicians to stay on top of their responsibilities, ensuring that vehicles are maintained in optimal condition.

Requirements

Real-Time Push Notification System

User Story: As a Vehicle Maintenance Technician, I want to receive push notifications for critical maintenance events so that I can address urgent repairs and service needs promptly, ensuring optimal vehicle performance.
Description: The Real-Time Push Notification System will deliver immediate alerts to Vehicle Maintenance Technicians about critical events related to vehicle maintenance, such as upcoming service dates, urgent repair notifications, and preventive maintenance reminders. This system is essential to ensure that technicians can respond quickly to maintenance needs, reducing vehicle downtime and enhancing the overall efficiency of fleet operations. By integrating this feature into the FleetWise platform, we aim to provide technicians with timely and relevant information that enables them to maintain fleet vehicles in top condition, ultimately leading to increased vehicle uptime and reduced operational costs.
Acceptance Criteria: Vehicle Maintenance Technicians receive notifications about upcoming service dates for fleet vehicles.

Given a technician is logged into the FleetWise platform, When the next vehicle maintenance date is within 7 days, Then a push notification alert should be sent to the technician's device immediately.

Urgent repair notifications are sent to technicians as soon as an issue is detected.

Given a technician is assigned to a vehicle, When a critical fault is detected that requires immediate attention, Then the technician should receive a push notification alert within 5 minutes of detection.

Preventive maintenance reminders are issued on time to help avoid service delays.

Given a technician has a schedule set for preventive maintenance, When the maintenance date approaches (within 2 days), Then the technician should receive a push notification reminder no later than 24 hours before the scheduled service.

Technicians can manage their notification preferences within the FleetWise platform.

Given a technician is logged into their profile settings, When they select their notification preferences, Then they should be able to enable or disable push notifications for maintenance alerts, with changes reflected immediately.

Multiple technicians receive alerts for the same vehicle maintenance event.

Given that a vehicle has multiple technicians assigned, When a critical maintenance notification is triggered, Then all assigned technicians should receive an individual push notification concurrently.

Technicians receive alerts for maintenance events based on priority levels.

Given a technician is logged in, When a maintenance notification is sent with a high priority status, Then it should be differentiated in the alert (e.g., red banner) and audible notification to ensure immediate attention.

Customizable Notification Settings

User Story: As a Vehicle Maintenance Technician, I want to customize my notification settings so that I only receive alerts that are relevant to my responsibilities, allowing me to prioritize my tasks effectively.
Description: The Customizable Notification Settings feature will allow Vehicle Maintenance Technicians to personalize their push notification preferences according to their roles and responsibilities. Technicians can configure alerts for specific types of maintenance events, set their preferred notification times, and choose between various notification methods (e.g., sound, vibration, or visual alerts). This capability enhances user satisfaction and ensures that notifications are relevant and actionable. By empowering technicians to tailor their alert settings, we aim to improve their responsiveness and efficiency in managing vehicle maintenance tasks.
Acceptance Criteria: Technician Customizes Notification Preferences

Given a logged-in Vehicle Maintenance Technician, when they navigate to the notification settings, then they should be able to customize alert types, notification times, and methods (sound, vibration, visual).

Technician Receives Customized Push Notifications

Given a Vehicle Maintenance Technician has set their notification preferences, when a maintenance event occurs, then they should receive a push notification according to their specified settings.

Default Notification Settings Functionality

Given a new Vehicle Maintenance Technician, when they access the notification settings for the first time, then the system should automatically apply default notification settings for various maintenance events.

Notification Preview Before Saving Settings

Given a Vehicle Maintenance Technician is in the process of configuring notification settings, when they select notification types and methods, then they should be able to preview how the notifications will appear before saving the settings.

Technician Updates Notification Configuration

Given a Vehicle Maintenance Technician has previously set notification preferences, when they return to the settings to update their preferences, then the system should allow them to modify and save the new settings successfully.

Technician Informs of Notification System Changes

Given that the notification settings have been updated by the technician, when the settings are saved, then the technician should receive a confirmation message indicating that the changes have been successfully applied.

Technician Accessability of Notification Settings

Given a Vehicle Maintenance Technician on a mobile device, when they access the FleetWise application, then they should be able to easily locate and adjust their notification settings without navigating through multiple menus.

Daily Summary Alerts

User Story: As a Vehicle Maintenance Technician, I want to receive a daily summary of maintenance alerts so that I can review my tasks and prioritize my workload for the upcoming day.
Description: The Daily Summary Alerts feature will collect and distribute a summary of maintenance-related notifications to Vehicle Maintenance Technicians at the end of each day. This summary will include a recap of critical alerts, outstanding tasks, and upcoming maintenance deadlines for the vehicles they oversee. This feature aims to reinforce accountability and provide technicians with a comprehensive view of their daily responsibilities, helping them manage their workflow more effectively. The summary will be delivered via push notification or email, depending on technician preferences, ensuring they stay informed without being overwhelmed by real-time alerts throughout the day.
Acceptance Criteria: Daily Summary Alerts generation for Vehicle Maintenance Technicians after their shift ends.

Given a technician's daily work shift has ended, when the system compiles maintenance notifications, then a Daily Summary Alert must be generated, listing all critical alerts, outstanding tasks, and upcoming deadlines for each vehicle they oversee.

Delivery method preference for Daily Summary Alerts set by Vehicle Maintenance Technicians.

Given a technician has set their notification preferences, when the Daily Summary Alert is generated, then it must be delivered via the selected method (push notification or email) without fail.

Content accuracy in Daily Summary Alerts for Vehicle Maintenance Technicians.

Given that the Daily Summary Alert is generated at the end of the day, when the technician receives the alert, then the alert must accurately reflect all current maintenance tasks, deadlines, and critical alerts without discrepancies.

Timeliness of Daily Summary Alerts delivery to Vehicle Maintenance Technicians.

Given the Daily Summary Alert has been generated, when it is ready for distribution, then it must be delivered within 30 minutes of the end of the technician's shift to ensure timely information access.

Response mechanism for Vehicle Maintenance Technicians receiving Daily Summary Alerts.

Given a technician has received a Daily Summary Alert, when they review the alert, then they must have the ability to acknowledge tasks and mark them as completed directly from the notification.

Fallback mechanism if the primary delivery method for Daily Summary Alerts fails.

Given that the primary delivery method fails (e.g., email or push notification), when the system detects this failure, then it must automatically attempt to send the Daily Summary Alert through the alternate delivery method without manual intervention.

User interface design for Vehicle Maintenance Technicians interacting with Daily Summary Alerts.

Given the UI for the Daily Summary Alerts, when a technician interacts with the alert, then the interface should be intuitive, providing easy navigation and clear visibility of critical information and action items.

Collaborative Issue Reporting

Collaborative Issue Reporting enables technicians to easily document and share details about vehicle issues with fleet managers and other technicians through the app. By fostering real-time communication and collaboration, this feature enhances transparency and ensures that everyone is aligned on maintenance priorities.

Requirements

Real-Time Issue Logging

User Story: As a technician, I want to log vehicle issues in real-time so that fleet managers can quickly prioritize repairs and ensure efficient fleet operation.
Description: This requirement allows technicians to instantly log vehicle issues within the FleetWise app, ensuring that information is captured as soon as problems are identified. The logged issues will include details such as vehicle ID, location, nature of the problem, and any immediate actions taken. This functionality is crucial for improving response times and ensuring that maintenance teams have accurate, up-to-date information on fleet condition. Providing a streamlined logging process enhances operational efficiency and prioritizes issues based on severity and impact, facilitating better coordination between technicians and management.
Acceptance Criteria: Technician logs a vehicle issue while on-site during a routine inspection.

Given the technician has access to the FleetWise app, when they select to log an issue and provide necessary details (vehicle ID, location, nature of the problem, immediate actions), then the issue should be saved successfully in the system.

Fleet manager reviews logged vehicle issues for prioritization and assignment of technicians.

Given the fleet manager accesses the issue log section of FleetWise, when they view the list of all logged issues, then all logged issues should display relevant details including vehicle ID, nature of the problem, and timestamp of logging.

A logged issue is flagged for urgent attention based on severity defined during entry.

Given a technician logs an issue with a severity rating, when an issue is marked as urgent, then it should trigger an immediate notification to the fleet manager and available technicians.

Technician updates the status of a logged vehicle issue after resolution.

Given a technician accesses a previously logged issue, when they update the issue status to 'Resolved' and add any necessary comments, then the issue status should be updated in the system and visible to all users.

Real-time notifications are sent to all relevant parties when a new issue is logged.

Given a new vehicle issue is logged in the FleetWise app, when the issue is saved, then all designated users (technicians and fleet managers) should receive real-time notifications via the app and/or email.

System security manages access permissions for issue logging and viewing.

Given different user roles (technician, fleet manager), when a user attempts to log or view issues, then the system should correctly enforce role-based access permissions, preventing unauthorized access.

The app ensures that logged issues contain all mandatory fields before submission.

Given the technician is logging an issue, when they attempt to submit without filling in mandatory fields (vehicle ID, nature of the problem), then the app should display an error message prompting for completion of required fields.

Issue Attachment Uploads

User Story: As a technician, I want to attach files to my issue reports so that fleet managers can see exactly what the problem is and address it more effectively.
Description: This requirement enables technicians to attach images, videos, or documents to the issue reports they submit via the FleetWise application. By allowing rich media uploads, this feature enhances the clarity and context of reported issues, enabling managers to have a complete understanding before taking action. The integration of attachments also supports better communication between technicians and management, leading to quicker resolutions and more informed decision-making in maintenance planning.
Acceptance Criteria: Technician uploads an image of a vehicle issue using the app.

Given the technician is on the issue report screen, When the technician selects the option to attach a file, Then the technician can upload an image from their device without any errors and the image is displayed in the issue report.

Technician uploads a video demonstrating a vehicle issue using the app.

Given the technician is on the issue report screen, When the technician selects the option to attach a file, Then the technician can upload a video from their device and the video is successfully accessible in the issue report.

Technician attaches a document related to a vehicle issue in the report.

Given the technician is on the issue report screen, When the technician selects the option to attach a file, Then the technician can upload a document (PDF, DOCX) from their device and the document is successfully included in the issue report.

Technician reviews the issue report with attachments before submission.

Given the technician has added images, videos, and documents to the issue report, When the technician reviews the report for submission, Then all attachments should be visible and correctly linked in the report preview.

Fleet manager receives an issue report with attachments from the technician.

Given the technician has submitted an issue report with attachments, When the fleet manager opens the report, Then all uploaded attachments should be accessible and viewable in the report detail view.

Multiple attachments are uploaded by the technician in one issue report.

Given the technician is on the issue report screen, When the technician attaches multiple files (images, videos, documents), Then all selected files should upload successfully and be associated with the same issue report without errors.

Collaborative Commenting System

User Story: As a fleet manager, I want to comment on issue reports so that I can communicate directly with technicians and clarify any uncertainties about vehicle problems.
Description: This requirement introduces a commenting feature that allows technicians and fleet managers to discuss vehicle issues directly within the app. Both parties can provide feedback, suggestions, or follow-up questions in a dedicated thread for each issue report. This fosters a collaborative environment that increases transparency and allows for quick clarification of details regarding maintenance priorities. The ability to have a centralized communication thread improves the efficiency of issue resolution and supports team alignment in maintenance strategies.
Acceptance Criteria: Technicians use the commenting feature to report a vehicle issue and initiate a discussion with fleet managers for resolution.

Given a technician reports an issue and posts a comment, when the fleet manager views the report, then the comment should be visible in the dedicated thread and notifications should be sent to the fleet manager.

Fleet managers provide feedback on technician comments about reported vehicle issues within the app to ensure clarity and alignment.

Given a fleet manager reads a technician's comment, when they reply to the comment, then the response should be added to the thread and notify the technician.

A technician revisits a previously reported vehicle issue to review the discussion and any decisions made regarding maintenance.

Given a technician accesses a closed issue report, when they open the comment thread, then they should see all previous comments and responses in chronological order.

Fleet managers prioritize vehicle issues based on collaborative discussions and comments made in the app.

Given multiple comments have been made on an issue, when the fleet manager evaluates the thread, then they should identify and categorize the to-do items based on technician input.

Technicians and fleet managers receive real-time notifications related to new comments or responses on reporting threads.

Given a comment is added to an issue's thread, when a technician or fleet manager is mentioned, then they should receive a push notification of the comment addition.

A reporting thread can be searched and filtered to find specific comments or topics related to vehicle issues.

Given multiple report threads exist, when a technician or fleet manager uses the search filter, then they should be able to find threads containing specific keywords in comments.

The commenting system maintains a log of changes and updates related to all vehicle issue discussions for accountability.

Given a change is made to a comment or a new comment is added, when the change is saved, then the system should log the timestamp and user who made the change for future reference.

Priority Tagging for Issues

User Story: As a fleet manager, I want to be able to see which vehicle issues are marked as urgent so that I can prioritize repairs and minimize downtime.
Description: This requirement implements a tagging system that allows technicians to categorize and assign priority levels to each logged issue. Tags can include categories like 'Urgent,' 'Routine Maintenance,' or 'Monitoring Needed,' and can be customized to fit the fleet's specific operational needs. This functionality aids fleet managers in quickly triaging issues based on urgency and helps manage the maintenance workflow more effectively, ensuring that critical issues are dealt with promptly and resources are allocated efficiently.
Acceptance Criteria: Technician Tags an Issue as Urgent During a Maintenance Check

Given a technician is using the app to log a vehicle issue, when they select the 'Urgent' tag and submit the issue, then the system should log the issue with the correct priority status and notify the fleet manager immediately.

Fleet Manager Reviews Tagged Issues for Prioritization

Given the fleet manager accesses the reported issues dashboard, when they filter issues by 'Urgent' tags, then the system should display only the issues marked as 'Urgent' for immediate attention.

Customization of Tags by Fleet Management Team

Given a fleet manager is in the settings of the issue reporting feature, when they create a new tag called 'Critical Maintenance,' then the tag should be available for technicians to select when reporting issues.

Technician Views All Issues with Different Priority Tags

Given a technician opens the issue reporting section, when they view the list of logged issues, then the system should display all issues with their corresponding priority tags clearly visible for quick assessment.

System Alerts for High-Priority Issues

Given a high-priority issue is logged, when the issue is assigned an 'Urgent' tag, then the system should automatically send notifications to the designated fleet managers and technicians designated for follow-up.

Maintaining Historical Data for Tagged Issues

Given an issue has been resolved and tagged in the system, when the fleet manager views historical issue reports, then the system should display previous tags and their contexts for completed issues.

Issue Resolution Tracking

User Story: As a fleet manager, I want to track the resolution status of vehicle issues so that I can ensure timely completion of repairs and analyze common issues for future improvements.
Description: This requirement provides a tracking system for resolving logged issues, allowing both technicians and fleet managers to monitor progress on repairs and maintenance actions taken. The feature would include status updates and resolution notes to ensure all stakeholders are informed about the progression of each issue. By tracking resolution, the FleetWise platform can offer valuable insights into common problems and the efficiency of the maintenance process, ultimately helping to improve fleet reliability over time.
Acceptance Criteria: Technician Logs a New Issue

Given a technician is logged into the FleetWise app, when they log a new vehicle issue, then the issue should be saved and visible to both the technician and fleet manager in the system with a timestamp and unique identifier.

Fleet Manager Reviews Logged Issues

Given a fleet manager is logged into the FleetWise dashboard, when they view the list of logged issues, then they should see all issues categorized by vehicle and status (open, in progress, resolved).

Technician Updates Issue Status

Given a technician has resolved a logged issue, when they update the issue status to 'resolved', then the updated status should reflect in real-time for both the technician and fleet manager, along with any resolution notes.

Fleet Manager Receives Notification of Updates

Given a fleet manager is assigned to monitor a specific issue, when the technician updates the status or adds notes, then the fleet manager should receive a notification alerting them of these updates.

Historical Data Analysis of Logged Issues

Given the FleetWise platform has been used for at least one month, when a fleet manager accesses the analytics dashboard, then they should see historical trends of issue types and resolution times to assist in operational decision-making.

User Roles and Permissions Management

Given a new technician is added to the FleetWise platform, when their role is set to 'Technician', then they should have the permissions to log, update, and view only their assigned issues without accessing others' issues.

Reporting on Issue Resolution Efficiency

Given that multiple issues have been logged and resolved, when the fleet manager generates an issue resolution report, then the report should accurately reflect the average resolution time and percentage of issues resolved on first attempt.

Automated Issue Notification System

User Story: As a fleet manager, I want to receive notifications about newly logged issues so that I can react quickly and allocate resources effectively.
Description: This requirement establishes an automated notification system that alerts relevant technicians and fleet managers when new issues are logged or when there are updates to existing issues. Notifications could be sent via app alerts and emails to ensure timely communication. This ensures that all involved parties are promptly informed about developments, enhancing responsiveness and collaboration in addressing fleet issues, which ultimately leads to improved overall fleet management efficiency.
Acceptance Criteria: Technician logs a new vehicle issue in the FleetWise app, triggering the automated notification system to inform all relevant personnel.

Given a technician logs a new issue, when the issue is saved, then all assigned technicians and the fleet manager receive a notification via app alert and email within 2 minutes.

Fleet manager updates the status of an existing vehicle issue in the FleetWise app, necessitating notifications to be sent about this update.

Given a fleet manager updates an existing issue, when the update is saved, then all relevant technicians receive a notification via app alert and email within 2 minutes of the update.

A technician receives a notification about a newly logged issue while working in a remote location with limited connectivity.

Given a technician is offline, when a new issue notification is sent, then the notification is stored and delivered once the technician reconnects to the internet.

An administrator configures notification settings for different levels of urgency on the FleetWise platform.

Given the administrator accesses the notification settings, when urgency levels are set for different issue types, then all affected users receive notifications based on the configured urgency settings.

A technician marks an issue as resolved after completing repairs, prompting a notification to be sent to the fleet manager.

Given a technician marks an issue as resolved, when the status is updated, then the fleet manager receives a notification via app alert and email confirming the resolution within 2 minutes.

A user attempts to log an issue without filling required fields in the FleetWise app, needing a system alert to guide them.

Given a user attempts to log an issue with missing required fields, when the user submits the form, then a validation error message is displayed prompting to fill in all required fields before submission.

The notification system experiences a downtime or error, affecting the delivery of issue notifications to users.

Given a system error occurs in the notification service, when an issue is logged or updated, then the system logs the error and retries sending notifications every 5 minutes until successful delivery is confirmed.

Mobile Job Assignment Management

Mobile Job Assignment Management allows fleet managers to assign maintenance tasks directly to technicians via the app. Technicians receive job details and can update their status in real-time, which streamlines task management, enhances accountability, and improves overall workflow efficiency.

Requirements

Real-time Job Notification

User Story: As a technician, I want to receive instant notifications for new job assignments so that I can promptly respond to maintenance tasks and enhance my efficiency.
Description: The Real-time Job Notification requirement enables the application to instantly notify technicians of new job assignments as they are created by fleet managers. This feature will utilize push notifications to ensure that technicians are alerted immediately, reducing delays and improving response times for essential maintenance tasks. This real-time capability will enhance communication between fleet managers and technicians, leading to improved workflow efficiency and accountability in task management.
Acceptance Criteria: Technician receives notification for a new job assignment immediately after fleet manager creates it in the system.

Given that a job assignment is created by the fleet manager, when the assignment is saved, then the technician should receive a push notification within 2 seconds on their mobile device.

Technician can acknowledge the received job assignment through the app.

Given that the technician receives a new job assignment notification, when they open the notification, then they should be able to click an 'Acknowledge' button to confirm they have seen the job assignment.

Fleet manager views whether technicians have acknowledged the job assignments.

Given that a job assignment is sent to technicians, when the fleet manager checks the job assignment status, then they should see an updated acknowledgement status for each technician (Acknowledged/Not Acknowledged).

Technician updates their job status after completing a task.

Given that a technician has completed a job, when they update their job status in the app, then the system should reflect the status change in real-time and notify the fleet manager.

Push notifications are received reliably even when the app is not actively open.

Given that the technician’s mobile app is in the background or not open, when a new job assignment is created, then they should still receive a push notification on their device without delay.

Job notification settings allow technicians to customize notification preferences.

Given that the technician wants to change their notification preferences, when they access the notification settings in the app, then they should be able to toggle options for sound, vibration, and do not disturb during specific hours.

Job Status Update Feature

User Story: As a fleet manager, I want technicians to update the status of their jobs in real-time so that I can monitor progress and make informed decisions based on current task statuses.
Description: The Job Status Update Feature allows technicians to update the status of their assigned jobs directly through the mobile app. Technicians can mark jobs as In Progress, Completed, or Delayed, providing fleet managers with visibility into task progress. This feature aims to improve communication and accountability, enabling better tracking of job completion rates and facilitating more effective workflow management. Overall, this enhances the operational efficiency of both technicians and fleet managers.
Acceptance Criteria: Technician updates job status after completing a maintenance task on the mobile app.

Given a technician has completed a maintenance task, when they access the mobile app and select the job, then they should see an option to mark the job as 'Completed'.

Fleet manager views the updated job status in the dashboard after a technician updates it.

Given a technician has marked a job as 'In Progress' or 'Completed', when the fleet manager refreshes their dashboard, then they should see the updated job status reflected in the job list.

Technician attempts to update a job status without internet connectivity.

Given a technician is in an area with no internet access, when they attempt to update the job status, then the app should display an error message indicating that the update cannot be completed due to connectivity issues.

Fleet manager reviews job completion rates by job status in a reporting feature.

Given multiple jobs have been updated with statuses by technicians, when the fleet manager accesses the reporting feature, then they should see aggregated data on job completion rates categorized by status (In Progress, Completed, Delayed).

Technician updates job status to 'Delayed' due to unforeseen circumstances.

Given a technician encounters an unexpected issue during a job, when they mark the job status as 'Delayed', then they should be prompted to provide a reason for the delay before the status is saved.

Notification system alerts fleet managers of job status updates by technicians.

Given a technician updates a job status, when the update is saved, then the fleet manager should receive a notification indicating which job status has changed and the new status.

Technician verifies the job status update reflected on their mobile app.

Given a technician has updated the job status, when they re-open the job on the app, then they should see the updated status displayed correctly.

Integration with Fleet Management Dashboard

User Story: As a fleet manager, I want to view technician job statuses on the dashboard so that I can oversee all job assignments and quickly address any issues as they arise.
Description: The Integration with Fleet Management Dashboard requirement ensures that all job assignments and their statuses are seamlessly displayed on the central fleet management dashboard. This integration allows fleet managers to monitor all technician activities and job progress from a single interface, improving decision-making processes and enhancing overall fleet management efficiency. This centralization of information will streamline operations and enhance strategic oversight over fleet maintenance activities.
Acceptance Criteria: Fleet manager assigns a maintenance job to a technician using the Mobile Job Assignment Management feature on the FleetWise platform, and the assignment appears on the fleet management dashboard immediately after it is sent.

Given that a maintenance job is assigned to a technician, when the fleet manager submits the assignment, then the job must appear on the Fleet Management Dashboard within 5 seconds after submission.

Technician updates the status of a job from 'In Progress' to 'Completed' through the app while working on the maintenance task assigned to them.

Given that a technician is currently working on a job, when they update the job status to 'Completed', then the status must reflect 'Completed' on the Fleet Management Dashboard instantly without any error.

Fleet manager views technician activities and job statuses in real time on the dashboard to make informed decisions regarding fleet maintenance.

Given that multiple technician jobs are in progress, when the fleet manager accesses the dashboard, then all active job statuses must display accurately and in real-time without delays, reflecting all updates made by technicians.

Fleet manager filters job assignments on the dashboard to view only assigned tasks for a specific technician.

Given that the fleet manager wants to view tasks for a specific technician, when they select the technician's name from the filter options, then only jobs assigned to that technician must be displayed on the dashboard.

Fleet manager receives a notification when a job status is updated by a technician.

Given that a technician updates the status of a job, when the job status changes, then the fleet manager must receive a notification about the status update within 2 minutes and see the updated status on the dashboard.

Fleet manager accesses the dashboard on a mobile device and checks job assignments.

Given that the fleet manager is using a mobile device to access the dashboard, when they navigate to the job assignments section, then all job assignments must be displayed correctly and responsively, ensuring usability on different screen sizes.

Job Assignment History Tracking

User Story: As a fleet manager, I want access to historical job assignment data so that I can evaluate technician performance and enhance our maintenance processes based on insights from past activities.
Description: The Job Assignment History Tracking feature will maintain a detailed log of all job assignments, including the assigned technician, job status updates, and timestamps. This functionality will allow fleet managers to analyze past job performance, identify patterns in job completion, and assess technician productivity over time. The insight provided by this historical data will aid management in improving task allocation and optimizing future maintenance efforts.
Acceptance Criteria: Job Assignment Logging for Technicians

Given a technician has been assigned a maintenance task, when they complete the job status update, then the job assignment must log the technician's name, job status, and timestamp correctly in the system.

Historical Data Retrieval

Given that jobs have been completed, when a fleet manager requests the job assignment history, then all entries must be retrievable with accurate details including technician name, job status updates, and timestamps within the specified date range.

Performance Analysis Reporting

Given that there is historical job assignment data, when the fleet manager analyzes the report, then the system should provide insights on technician productivity, job completion trends, and performance patterns over the selected time period.

Real-Time Update Logging

Given that a technician updates their job status, when they submit the update via the app, then the job status change must be logged in real-time and reflect immediately on the fleet manager's dashboard.

Job Assignment Audit Trail

Given that a job assignment is logged, when a change occurs to that assignment, then an audit trail must be recorded, showing what changes were made, by whom, and when.

User Permissions for Job History Access

Given different user roles within the platform, when a user with fleet manager permissions accesses job history, then they must see all job assignments, while users with technician roles must only see their assigned jobs.

Job Analysis Trends Visualization

Given that historical job assignment data is available, when the fleet manager views the analysis dashboard, then it must display visual trends of job completion rates and technician productivity over time.

Technician Location Tracking

User Story: As a fleet manager, I want to track technician locations so that I can assign jobs based on their proximity and improve our response times for maintenance tasks.
Description: The Technician Location Tracking requirement will enable real-time GPS tracking of technicians through the mobile app, allowing fleet managers to see their current locations while on duty. This feature will enhance the scheduling of maintenance tasks by providing visibility into the whereabouts of technicians, facilitating the timely assignment of jobs based on proximity. This improvement will lead to more efficient job distribution and reduced travel time for technicians, ultimately increasing service response times.
Acceptance Criteria: As a fleet manager, I want to view the live locations of all technicians on the map as they perform their duties to manage job assignments effectively.

Given that the fleet manager is logged into the mobile application, When they view the technician dashboard, Then they should see real-time GPS locations of all technicians displayed on a map.

As a technician, I want to receive instant notifications of new job assignments so that I can respond quickly and manage my workload effectively.

Given that a new maintenance job is assigned by the fleet manager, When the job assignment is made, Then the technician assigned to the job should receive a push notification on their mobile app with job details.

As a fleet manager, I want to filter technicians by their current location to efficiently assign jobs based on proximity.

Given that the fleet manager is viewing the list of technicians on the mobile application, When they apply a filter for technicians within a specified radius of a job location, Then the system should display only those technicians who are within that radius.

As a technician, I want to update my job status in real-time so that the fleet manager can monitor job progress and efficiency.

Given that a technician is at a job site, When they update their job status in the mobile app, Then the updated status should be reflected in the fleet manager's dashboard immediately.

As a fleet manager, I want to generate reports on technician locations over a specific period to analyze job efficiency and response times.

Given that the fleet manager navigates to the reporting section of the application, When they select a date range and generate a report, Then a detailed report of technician locations and job assignments during that time frame should be produced.

As a fleet manager, I want a visual indication of technician availability on the map to improve operational efficiency.

Given that the fleet manager is viewing the map of technician locations, When a technician is available and their status is set to 'Available' in the app, Then their icon on the map should be highlighted distinctly from those who are busy or have completed their jobs.

As a fleet manager, I want to receive alerts when technicians are stationary for too long during a job to determine if assistance is needed.

Given that a technician's location has not changed for a predefined duration, When the timer exceeds the threshold, Then an alert should be generated and sent to the fleet manager via the app to notify them of the situation.

Secure Compliance Records

This feature enables the secure storage of all compliance documents and maintenance records on a decentralized blockchain network. By digitizing and securing documentation, it provides Fleet Operations Managers and Vehicle Maintenance Technicians with immediate access to verified information, streamlining audits and improving transparency in compliance processes.

Requirements

Decentralized Document Storage

User Story: As a Fleet Operations Manager, I want to securely store compliance documents on a blockchain so that I can ensure data integrity and streamline the audit process.
Description: The Decentralized Document Storage requirement provides a secure and immutable platform for storing compliance documents and maintenance records on a blockchain network. This functionality ensures that all data is tamper-proof and accessible only by authorized personnel, significantly enhancing data security and integrity. By automating the storage process, FleetWise reduces the risk of document loss or fraud, ensures compliance with industry regulations, and simplifies the auditing process. The integration of this requirement into the FleetWise platform will streamline operations, enhance transparency, and improve trust in the compliance documentation process, allowing Fleet Operations Managers and Vehicle Maintenance Technicians to retrieve verified information seamlessly and instantly.
Acceptance Criteria: Accessing Compliance Records by Fleet Operations Managers

Given that a Fleet Operations Manager is logged into the FleetWise platform, When they navigate to the compliance records section, Then they should be able to securely access all compliance documents stored on the blockchain.

Verifying Document Integrity for Audits

Given that an audit is being conducted, When a Vehicle Maintenance Technician retrieves a compliance document, Then the document's integrity should be verifiable through a timestamp and hash stored on the blockchain.

Ensuring Document Access Permissions

Given that the compliance document is stored on the blockchain, When a user attempts to access a document, Then the system should validate the user's credentials before granting access based on their role.

Automated Storage of Compliance Documents

Given that a maintenance record is generated for a vehicle, When the record is created, Then it should be automatically stored on the blockchain with the necessary metadata for retrieval.

Implementing Document Retrieval Speed

Given that a user is searching for a compliance document, When they enter search criteria, Then the system should display the relevant documents within 3 seconds, ensuring seamless access.

Tracking Changes to Compliance Documents

Given that a document has been updated, When changes are made, Then all previous versions of the document should be retained on the blockchain, and a change log should be accessible.

Accessible User Interface for Document Management

Given that a Fleet Operations Manager uses the document management feature, When they navigate using the interface, Then it should be intuitive and allow for easy uploading, searching, and retrieving of documents.

Automated Document Verification

User Story: As a Vehicle Maintenance Technician, I want to have documents automatically verified upon upload so that I can save time and ensure compliance without manual checks.
Description: The Automated Document Verification requirement involves implementing AI-driven mechanisms to automatically validate compliance documents and maintenance records as they are uploaded to the blockchain. This functionality eliminates manual verification steps, significantly speeding up the process of ensuring document authenticity. By utilizing smart contracts, the system can automate compliance checks against predefined criteria, ensuring that all records stored are up-to-date and valid. This feature will enhance operational efficiency, reduce the workload on personnel, and provide real-time compliance updates, improving FleetWise's overall service offering to customers.
Acceptance Criteria: Automated Document Upload and Verification Process

Given a user uploads a compliance document, When the document is processed by the AI, Then the system must validate the document against predefined compliance criteria successfully within 5 seconds.

Real-Time Compliance Status Updates

Given a compliance document has been successfully verified, When the status is checked, Then the system should display the updated compliance status in real-time on the dashboard without delays.

Audit Trail Access for Compliance Records

Given a compliance document has been stored on the blockchain, When an audit is initiated, Then the system must provide a complete and immutable audit trail of the document's verification process, accessible within 2 clicks.

Smart Contract Integrity Checks

Given a compliance document is submitted, When the smart contract executes, Then it must automatically flag any discrepancies and notify the relevant personnel within 1 minute.

User Notification for Document Verification Results

Given a compliance document has been processed, When the verification is complete, Then the designated user(s) should receive a notification indicating the success or failure of the verification process immediately.

Mobile Access to Compliance Documents

Given a user is operating within the FleetWise mobile application, When they attempt to access a verified compliance document, Then the document should be securely accessible and legible within 3 taps.

User Access Control

User Story: As an Administrator, I want to manage user access levels to compliance documents so that I can protect sensitive information and comply with data privacy regulations.
Description: The User Access Control requirement defines the protocols for granting and managing access to compliance records on the blockchain. It allows FleetWise administrators to assign different access levels to various user roles within the platform, ensuring that sensitive information is only available to authorized personnel. This feature enhances security by preventing unauthorized access and provides audit trails for document access, contributing to compliance with data protection regulations. The implementation of robust user access control mechanisms will create a secure environment for managing sensitive compliance and maintenance documents.
Acceptance Criteria: Granting Different Access Levels to Users Based on Role

Given a FleetWise administrator, when they create a new user and assign a role (Administrator, Fleet Operations Manager, or Vehicle Maintenance Technician), then the user should only be able to access compliance records and information that corresponds to their assigned role level.

Audit Trail Functionality for User Access

Given a compliance record accessed by a user, when the user views or modifies the record, then an entry should be created in the audit trail that logs the user ID, timestamp, action taken, and the record affected.

Attempting Unauthorized Access to Restricted Records

Given a logged-in user attempting to access sensitive compliance records without sufficient permissions, when they try to view the records, then an error message should be displayed stating 'Access Denied' and the access attempt should be logged in the system.

Managing User Access Permissions in the Admin Panel

Given a FleetWise administrator, when they navigate to the user management section of the admin panel, then they should be able to view all users, modify their roles, and remove user access with confirmation prompts.

Removing User Access Upon Request or Termination

Given a FleetWise administrator, when they receive a request to terminate a user’s access, then all permissions associated with that user role should be revoked, and the user should no longer be able to log in to the system.

Multi-Factor Authentication for Sensitive Access

Given a user with high-level access (Administrator), when they attempt to log into FleetWise, then they should be required to complete multi-factor authentication to access compliance records.

Accessing User Roles and Permissions Overview

Given a FleetWise administrator, when they access the roles and permissions overview section, then they should see all defined roles along with their specific permissions for accessing compliance records clearly outlined.

Audit Trail Generation

User Story: As a Compliance Officer, I want an automatic audit trail created for all document interactions so that I can easily track access and modifications for compliance verification.
Description: The Audit Trail Generation requirement creates a comprehensive log of all interactions with the compliance records stored on the blockchain. This feature captures every access, modification, and verification of documents, ensuring a complete history is available for review. This functionality is crucial for meeting regulatory requirements and for internal audits, as it provides evidence of due diligence and adherence to compliance protocols. By offering an easily accessible audit trail, FleetWise enhances accountability and transparency, fostering confidence among stakeholders regarding compliance practices.
Acceptance Criteria: Accessing Audit Trail Records for Compliance Review

Given a Fleet Operations Manager accesses the compliance records, when they navigate to the audit trail section, then they should see a comprehensive log of all interactions including timestamps, user identities, and actions performed (accessed, modified, verified).

Verifying Document Modification History

Given a Vehicle Maintenance Technician selects a compliance document, when they view the document, then they should see a complete history of modifications made, including previous versions and the identity of the modifier.

Conducting an Internal Audit Using Audit Trails

Given an internal auditor conducts an audit, when they request the audit logs for a specific time period, then the system should provide a filtered list of all audit trail entries relevant to that timeframe, complete with details of each interaction.

Ensuring Data Integrity During Audit Trail Generation

Given the decentralized blockchain network is engaged, when compliance records are accessed or modified, then the audit trail must show consistent and accurate logs without any discrepancies or missing entries.

Providing an Overview of Compliance Activities

Given a fleet manager needs to present compliance activities to stakeholders, when they generate a compliance activity report, then the system should include a summary of all audit trail entries over the past month, highlighting key actions and trends.

Alerting Users to Unauthorized Access Attempts

Given an attempt is made to access or modify compliance records, when an unauthorized user is detected, then the system should log the attempt in the audit trail and notify the compliance team with details of the event.

Integrating Audit Trail with Regulatory Compliance Standards

Given an update to regulatory compliance standards is released, when the audit trail generation functionality is assessed, then it must demonstrate adherence to the latest standards and guidelines for audit logs as specified by regulatory bodies.

Integration with Fleet Management Dashboard

User Story: As a Fleet Operations Manager, I want easy access to compliance records through the Fleet Management Dashboard so that I can efficiently manage my fleet’s compliance without navigating multiple applications.
Description: The Integration with Fleet Management Dashboard requirement enables seamless access to compliance records from the FleetWise user interface. This integration empowers Fleet Operations Managers and Vehicle Maintenance Technicians to retrieve, view, and manage compliance documentation without switching between different applications or platforms. By providing a unified view of compliance records alongside other fleet management features, this requirement enhances user experience and ensures that compliance data is readily available when needed, streamlining operational workflows.
Acceptance Criteria: Accessing Compliance Records from the Fleet Management Dashboard

Given a user is logged into the FleetWise dashboard, when they navigate to the compliance records section, then they should see a list of all compliance documents available, displayed alongside other fleet management features.

Viewing Individual Compliance Documents

Given a user selects a specific compliance document, when they click on it, then the document should open in a viewer without requiring additional logins or redirects to external applications.

Searching Compliance Documents

Given a user is on the compliance records page, when they enter a search term relevant to compliance documents in the search bar, then the system should return matching documents based on the search criteria.

Updating Compliance Records

Given a user has permission to update compliance records, when they edit and save a compliance document, then the updated document should reflect the changes in the dashboard immediately upon refresh.

Audit Trail for Compliance Records Access

Given a user views or modifies compliance documents, when they complete these actions, then an audit trail entry must be logged with the user's details and timestamps for accountability.

User Role-based Access to Compliance Records

Given different user roles in the FleetWise platform, when users from different roles log in, then they should only see compliance documents based on their permissions set in the system.

Immutable Audit Trail

The Immutable Audit Trail feature creates a permanent, tamper-proof log of all vehicle maintenance and compliance activities on the blockchain. Users can track changes and updates in real time, confident that the history presented is authentic and accurate, significantly reducing the risk of fraud and enhancing accountability.

Requirements

Real-time Data Logging

User Story: As a fleet manager, I want real-time logging of vehicle maintenance activities so that I can ensure all data is accurate and up-to-date for compliance and audits.
Description: The Real-time Data Logging requirement enables the system to capture and store maintenance and compliance activities as they occur. This functionality is crucial for creating the Immutable Audit Trail, ensuring that every modification, update, or interaction with vehicle data is recorded immediately. The benefit of this requirement is that it enhances transparency and accountability while providing users with access to up-to-date historical data. Integration with the existing dashboard will allow users to view activities in real time, thereby fostering trust and ensuring that the data is readily available for audits and reports.
Acceptance Criteria: Real-time logging of vehicle maintenance activities by fleet managers during a scheduled vehicle service.

Given the fleet manager logs maintenance activities via the dashboard, when the maintenance entry is submitted, then it should be recorded instantly on the blockchain with a timestamp.

Compliance officers monitoring real-time updates of vehicle compliance checks during an inspection process.

Given a compliance check is initiated by an officer, when the check is completed, then the result must be logged in real time and accessible through the Immutable Audit Trail.

Fleet drivers recording incidents and repairs in the system while on the road.

Given a driver submits an incident report via the mobile application, when the report is submitted, then the data must be logged in the system within 5 seconds and be visible on the dashboard.

Fleet managers accessing historical maintenance logs for audit purposes.

Given a fleet manager selects a vehicle, when they request the historical maintenance logs, then the system should retrieve and display a complete log without any discrepancies or delays, reflecting real-time changes.

System automatically alerts fleet managers of maintenance activities logged in real time.

Given a maintenance activity is logged, when the log is recorded, then the system should trigger a notification to the fleet manager's mobile device within 1 minute.

Integration of real-time data logging functionality into the user dashboard for enhanced transparency.

Given the integration is active, when a user accesses the dashboard, then they should see real-time updates of maintenance and compliance activities displayed clearly and accurately.

Blockchain Integration

User Story: As a compliance officer, I want fleet maintenance records securely stored on the blockchain so that I can guarantee the authenticity and integrity of the data for regulatory obligations.
Description: The Blockchain Integration requirement outlines the need to connect the FleetWise platform with a secure blockchain network. This integration will allow the Immutable Audit Trail to store maintenance and compliance records in a tamper-proof manner. By leveraging blockchain technology, the system increases the security and integrity of data by ensuring that once a record is written, it cannot be altered or deleted. This feature significantly reduces fraud risk and enhances trust among stakeholders, including fleet managers, auditors, and regulatory bodies. The seamless integration should be designed to ensure minimum latency and maximum security.
Acceptance Criteria: Validating the secure storage of maintenance records on the blockchain after a vehicle maintenance event occurs.

Given that a vehicle maintenance event has been logged in FleetWise, when the maintenance record is saved, then the record must be stored on the blockchain without alteration and be retrievable within 5 seconds.

Ensuring that users can view the complete audit trail of maintenance activities from the FleetWise dashboard.

Given that a user requests the audit trail for a specific vehicle, when the request is processed, then the system must return the complete and accurate history of maintenance and compliance activities without missing records.

Testing the immutable nature of data stored on the blockchain.

Given that a maintenance record has been written to the blockchain, when a user attempts to modify or delete that record, then the system must prevent the modification and display an error message indicating the record is immutable.

Validating access to the blockchain audit trail by regulatory bodies or auditors.

Given that a regulatory body or auditor requires access to the audit trail, when access is requested, then the system must provide a secure method for viewing the audit trail without revealing any sensitive user information.

Ensuring encryption of data during transmission to the blockchain.

Given that a maintenance record is being transmitted to the blockchain, when the data is sent, then the data must be encrypted during transmission, ensuring that it is secure from interception.

Testing the latency of the blockchain integration against performance benchmarks.

Given that a maintenance record is submitted, when it is processed, then the record must be written to the blockchain with a latency of no more than 1 second in 95% of cases.

User Access Controls

User Story: As an IT administrator, I want to set specific access permissions for different user roles so that I can protect sensitive maintenance data and comply with security standards.
Description: The User Access Controls requirement focuses on implementing role-based access management within the FleetWise platform. This requirement is essential to ensure that only authorized personnel can view or modify the Immutable Audit Trail data. By defining specific permissions based on user roles (e.g., fleet manager, technician, auditor), the system enhances security and protects sensitive information from unauthorized access. This control not only complies with industry regulations but also builds trust with users regarding data privacy and security. The system must provide an intuitive interface for assigning and managing user roles.
Acceptance Criteria: User Role Assignment for Immutable Audit Trail Access

Given a fleet manager is logged into the FleetWise platform, When the manager navigates to the user management section and assigns a technician role to a user, Then the user should immediately gain access to the Immutable Audit Trail functionality relevant to their role.

Audit Trail Modification Attempt by Unauthorized User

Given a user without permission attempts to access or modify data in the Immutable Audit Trail, When the unauthorized user tries to make changes and clicks save, Then the system should display an error message indicating lack of permission and no changes should be made.

Role-Based Access Verification

Given a user has been assigned the auditor role within the user management section, When the user accesses the Immutable Audit Trail, Then the user should be able to view the complete audit history but should not have the ability to modify any entries.

User Role Change Notification

Given a fleet manager changes the role of a user in the user management section, When the role change is saved, Then the system should automatically send a notification to the affected user detailing their new access permissions.

Admin Role Access to All Audit Trail Data

Given an admin user is logged into the FleetWise platform, When the admin accesses the Immutable Audit Trail, Then they should have full visibility and modification capabilities across all audit entries.

Interface Usability for Role Management

Given a fleet manager is using the user management interface to assign roles, When they attempt to assign a new role, Then they should find the interface intuitive, and the process should take no longer than 3 minutes to complete.

Testing System Response to Role Deletion

Given a fleet manager deletes a user role from the user management section, When the role is successfully deleted, Then the system should update access permissions to prevent any users previously assigned that role from accessing restricted features immediately.

Audit Report Generation

User Story: As a fleet manager, I want to generate detailed maintenance audit reports so that I can review compliance and operational efficiency with ease.
Description: The Audit Report Generation requirement involves developing a feature that allows users to easily generate detailed reports of maintenance activities and compliance checks directly from the Immutable Audit Trail. This functionality provides users with the ability to analyze historical data quickly and effectively, facilitating informed decision-making. Users can customize reports based on specific parameters such as date ranges, vehicle IDs, and maintenance types. The capability to export these reports in multiple formats (PDF, CSV) enhances usability and ensures that stakeholders can share relevant data as needed.
Acceptance Criteria: User generates an audit report for a specific vehicle covering a particular date range.

Given a user is authenticated and has access to the Immutable Audit Trail, When the user selects a vehicle ID and specifies a date range, Then the system should generate a detailed audit report containing all relevant maintenance activities and compliance checks within the selected parameters.

User customizes an audit report to include specific maintenance types.

Given a user is on the audit report generation page, When the user selects multiple maintenance types to filter the report, Then the system should only include those specific maintenance activities in the generated report.

User exports an audit report in PDF format.

Given a user has generated an audit report, When the user selects the option to export the report and chooses PDF format, Then the system should generate a PDF file that meets the specified layout and data integrity requirements.

User exports an audit report in CSV format.

Given a user has generated an audit report, When the user selects the option to export the report and chooses CSV format, Then the system should generate a CSV file that accurately represents the data within the report, including headers and correct data types.

User reviews an audit report for accuracy.

Given a user has generated an audit report, When the user compares the report's data against the transactional records in the Immutable Audit Trail, Then all entries in the report should match the corresponding transactions without discrepancies.

User attempts to generate a report with no selected parameters.

Given a user is on the report generation page, When the user attempts to generate a report without selecting any vehicle or date range, Then the system should display an error message indicating that the selection is mandatory.

User views generated reports history.

Given a user has generated one or more audit reports, When the user accesses the reports history section, Then the system should display a list of previously generated reports with options for re-generating or deleting those reports.

Notification System

User Story: As a fleet supervisor, I want notifications for significant updates in vehicle maintenance records so that I can address any issues promptly and maintain operational efficiency.
Description: The Notification System requirement establishes a feature that alerts users about significant changes or updates recorded in the Immutable Audit Trail. This system will notify users in real time about updates such as completed maintenance tasks, compliance violations, or important changes made to vehicle records. The notifications will be customizable, allowing users to define their preferences for receiving alerts (e.g., email, SMS, in-app). This functionality aims to enhance user engagement and ensure that all stakeholders stay informed about critical data changes, thus promoting proactive management of the fleet's operations.
Acceptance Criteria: User receives a notification when a maintenance task is completed in the Immutable Audit Trail.

Given a user has enabled notifications for completed maintenance tasks, when a maintenance task is marked as complete in the Immutable Audit Trail, then the user receives a notification via their selected method (email, SMS, or in-app).

User can customize notification preferences for different types of updates.

Given a user is in the notification settings section of the application, when they modify their notification preferences for completed maintenance tasks, compliance violations, or vehicle record changes, then those preferences are saved and reflected in the notification system.

User is notified about compliance violations recorded in the Immutable Audit Trail.

Given a user has opted to receive notifications for compliance violations, when a compliance violation is logged in the Immutable Audit Trail, then the user receives a real-time notification through their preferred alert method.

User can access a log of past notifications from the Notification System.

Given a user wants to review past notifications, when they navigate to the notification history section, then they can view a tamper-proof log of all notifications received regarding maintenance tasks, compliance violations, and vehicle record changes.

Notification system functionality during peak usage hours.

Given that the system is operating during peak usage hours, when a significant update is recorded in the Immutable Audit Trail, then the notification system must deliver notifications without delay to all users with enabled preferences.

User receives notifications only for relevant vehicle records they manage.

Given a user manages multiple vehicles, when a relevant update occurs to any of the vehicles they manage, then the user only receives notifications for those specific vehicle records based on their settings.

Real-Time Compliance Monitoring

Real-Time Compliance Monitoring continuously verifies vehicle compliance status against regulatory requirements by leveraging blockchain technology. Fleet Operations Managers receive instant alerts if any discrepancies or compliance failures are detected, allowing for proactive management of compliance issues before they escalate.

Requirements

Automated Alert System

User Story: As a Fleet Operations Manager, I want to receive instant alerts when my vehicles are not compliant with regulations so that I can address issues promptly and avoid potential fines or operational disruptions.
Description: The Automated Alert System is designed to notify Fleet Operations Managers in real-time of any compliance discrepancies detected by the system. This feature integrates with the existing real-time compliance monitoring function, utilizing advanced algorithms to analyze data and trigger alerts immediately when a vehicle is found to be out of compliance with regulatory standards. The system will deliver notifications via email and through the FleetWise platform dashboard, allowing managers to take swift action to rectify any compliance issues. Enhanced situational awareness helps reduce operational risks and ensures adherence to regulations, ultimately improving fleet safety and reliability.
Acceptance Criteria: Automated Alert System Notification for Compliance Discrepancies

Given a vehicle is found to be out of compliance, when the compliance monitoring system detects this violation, then an alert should be sent to the Fleet Operations Manager via email and displayed on the FleetWise dashboard within 5 minutes.

Multiple Compliance Alerts Handling

Given that there are multiple vehicles out of compliance, when the compliance monitoring system identifies these discrepancies, then alerts for each vehicle should be generated and sent within the same 5-minute window without delay or loss of any alert.

Alert Priority Levels Configuration

Given the automated alert system, when a specific compliance issue is detected, then the system should categorize the alert based on severity levels (e.g., high, medium, low) and send notifications accordingly, prioritizing high-severity alerts first.

Alert Acknowledgment by Fleet Operations Manager

Given the alerts received, when the Fleet Operations Manager views the alert on the dashboard, then they should be able to acknowledge the alert, thus updating the system status to 'acknowledged' for tracking purposes.

Real-Time Reporting of Compliance Status

Given that the automated alert system is active, when a compliance check is performed, then the system should provide a real-time report of compliance status for all vehicles, enabling the manager to view compliance performance instantly on the dashboard.

System Resilience Against False Alerts

Given the automated alert system's algorithms, when non-compliance data is inaccurately recorded (e.g., due to a technical issue), then the system should have a method to validate and minimize false alerts before they are sent out to managers.

Integration with Existing Compliance Framework

Given the ongoing use of the FleetWise platform, when new compliance regulations are introduced, then the automated alert system must seamlessly integrate and update its parameters to reflect these changes without requiring extensive manual reconfiguration.

Blockchain Data Syncing

User Story: As a compliance officer, I want all compliance data to be recorded on the blockchain to ensure its integrity and reliability so that I can provide accurate reports during regulatory audits.
Description: Blockchain Data Syncing ensures that all compliance-related data is securely and accurately recorded on the blockchain in real-time. This requirement enables seamless integration of compliance data across the FleetWise platform, guaranteeing that all vehicle status updates are immutable, transparent, and readily accessible. By leveraging the distributed ledger technology of blockchain, this feature enhances the integrity and trustworthiness of compliance data, thereby boosting accountability and reducing the risk of data tampering. The available data can be easily leveraged during audits, and reports can be generated with confidence in the data's authenticity.
Acceptance Criteria: Real-time Syncing of Compliance Data When a vehicle's compliance status changes, the system should automatically log the update to the blockchain within 5 seconds, ensuring that Fleet Operations Managers can view the latest compliance data instantly.

Given a vehicle's compliance status has changed, when the update occurs, then the blockchain should reflect this change within 5 seconds and display the new status to the Fleet Operations Manager.

Alert Mechanism for Compliance Discrepancies Fleet Operations Managers receive immediate notifications via the dashboard and email if a compliance failure is detected during the data syncing process, allowing for quick remediation.

Given a compliance failure is detected, when the failure occurs, then an alert should be sent to the Fleet Operations Manager's dashboard and email within 1 minute of detection.

Audit Trail Verification During an audit, compliance records need to be retrievable in a clear and concise format from the blockchain to demonstrate compliance over time.

Given an audit request is made, when the compliance records are retrieved, then the system should provide a complete audit trail showing all compliance changes and statuses over the specified period in a downloadable format.

Data Integrity and Tampering Checks Ensuring the integrity of compliance data recorded on the blockchain by implementing tamper-evident protocols that trigger alerts if any unauthorized changes are detected.

Given there are recorded compliance data entries, when a tampering event is detected, then an alert is triggered for the Fleet Operations Manager, and the affected entries are marked as compromised.

User Access and Permissions Management Granting access to compliance data on the blockchain based on user roles to ensure that only authorized personnel can view or manage compliance records.

Given a user attempts to access compliance data, when the user logs into the system, then access should be granted or denied based on the user's defined role and permissions within 2 seconds of the login attempt.

Performance and Load Testing Under Peak Usage Conditions The system should maintain functionality and responsiveness, even during peak usage times when multiple vehicles update their compliance data simultaneously.

Given peak usage conditions with multiple vehicle updates, when 100 vehicles report compliance status changes concurrently, then the blockchain should log all updates without failure, and system response time should remain under 3 seconds.

Compliance Dashboard Integration

User Story: As a Fleet Manager, I want to visually track compliance status along with other fleet metrics so that I can assess performance and compliance efficiently in one place.
Description: The Compliance Dashboard Integration will feature a user-friendly interface that visualizes real-time compliance data alongside key performance metrics for fleet managers. This dashboard will allow users to monitor compliance health at a glance, providing insights into compliance trends and immediate visibility into any issues that may need addressing. Additionally, the dashboard will feature key metrics related to vehicle performance and compliance status over time, allowing for trend analysis. By integrating compliance monitoring with operational metrics, fleet managers can make informed decisions to optimize fleet performance while maintaining compliance.
Acceptance Criteria: Fleet manager logs into the Compliance Dashboard to review real-time compliance data and performance metrics of the vehicles.

Given the fleet manager is logged into the Compliance Dashboard, when they access the compliance section, then they should see an overview of compliance status for all vehicles, including any flags for non-compliance.

A compliance discrepancy is detected for a vehicle due to a missing inspection report.

Given a vehicle's compliance status is triggered by a missing inspection report, when the system detects this discrepancy, then the fleet manager should receive an immediate alert via the dashboard notification system.

The fleet manager wants to analyze compliance trends over the last six months to make informed decisions for fleet operations.

Given the fleet manager navigates to the trend analysis section, when they select a six-month range, then the dashboard should display a graph illustrating compliance trends for all vehicles during that period.

A fleet manager reviews the dashboard to assess the operational impact of compliance issues.

Given the compliance Dashboard Integration is active, when the fleet manager explores compliance issues, then they should be able to access related operational metrics such as vehicle downtime and maintenance costs for those specific vehicles.

A compliance report is generated at the end of the month for regulatory review.

Given the compliance data is collected over the month, when the fleet manager selects the report generation option, then a comprehensive compliance report should be produced and exported in a format suitable for regulatory review (PDF/Excel).

The fleet manager customizes the dashboard to focus on specific compliance metrics relevant to their fleet.

Given the customization feature is available, when the fleet manager adjusts the dashboard settings, then the dashboard should reflect these changes immediately, displaying only the selected metrics and alerts.

Historical Compliance Reporting

User Story: As a Fleet Operations Manager, I want to generate historical reports on compliance data so that I can analyze trends and make data-driven decisions for future fleet management.
Description: The Historical Compliance Reporting feature allows users to generate comprehensive reports on past compliance performance over specified timeframes. This functionality will enable Fleet Operations Managers to analyze historical compliance trends, identify repeat issues, and generate insights that can inform strategic decisions. The reports will include data visualizations and will highlight patterns such as compliance violations, alert responsiveness, and improvements over time. Historical reporting is crucial for understanding long-term compliance trends and enhancing future operational strategies.
Acceptance Criteria: Generating a report for compliance review during a quarterly audit meeting.

Given a specified date range and selected vehicle types, when the Fleet Operations Manager initiates the report generation, then a comprehensive report should be produced detailing compliance status, violations, and trends for the selected period.

Reviewing compliance performance over the last year to identify patterns among violations.

Given a past timeframe of one year, when the Fleet Operations Manager accesses the historical compliance report, then visualizations should display trends in compliance performance, including monthly violation rates and improvements over time.

Receiving immediate alerts for compliance violations detected in the historical report analysis.

Given the input of compliance violation data, when the analysis is performed, then any detected inconsistencies or trends should trigger alerts to the Fleet Operations Manager regarding critical compliance issues.

Exporting compliance data from the report for presentation to stakeholders.

Given a completed compliance report, when the Fleet Operations Manager selects the export option, then a downloadable file should be generated in both PDF and CSV formats containing all report details.

Identifying repeat compliance issues among specific vehicle types over time.

Given a selection of vehicle types, when the historical compliance report is reviewed, then report should highlight repeat issues with specific vehicles, including counts and dates of previous violations.

Comparing compliance performance across different timeframes to measure improvement.

Given two different timeframes selected by the Fleet Operations Manager, when comparison analysis is conducted, then the report should clearly indicate any improvements or declines in compliance performance, backed by statistical data and visualizations.

Using historical compliance data to inform future operational strategy during team meetings.

Given the historical compliance report, when the Fleet Operations Manager shares findings in a team meeting, then actionable insights should be presented, directly linked to historical data and identified trends to influence strategic decisions.

Role-Based Access Control

User Story: As a security administrator, I want to implement role-based access control for compliance data so that I can ensure sensitive information is only accessible to authorized users.
Description: Role-Based Access Control (RBAC) will enhance security by allowing different levels of access to compliance monitoring data based on user roles within the FleetWise platform. This requirement will ensure that only authorized personnel can view or manage sensitive compliance data, thereby reducing the risk of data breaches and misuse. By defining user roles, the feature will help in maintaining the confidentiality and integrity of compliance-related information while complying with data protection regulations. Implementation of RBAC will promote secure collaboration within teams while streamlining data management.
Acceptance Criteria: User Roles Management in FleetWise Dashboard

Given an admin user logs into FleetWise, when they navigate to the user roles management section, then they can create, edit, and delete user roles with specific access permissions for compliance monitoring data.

Access Control Based on User Roles

Given a user with a specific role tries to access compliance monitoring data, when they are logged in, then they can only view the data permitted by their assigned role and receive an 'Access Denied' message for restricted areas.

Alert Notification for Compliance Breaches

Given a compliance monitoring alert is triggered, when the alert is generated, then the system sends notifications to all authorized users according to their roles and access levels within 5 minutes of the detection of a breach.

Audit Trail for Role-Based Access Management

Given any changes made to user roles and permissions, when the changes are saved, then the system logs the user ID, role changes, and timestamp in an audit trail accessible to admin users.

Integration Testing of Role-Based Access Control

Given the implementation of Role-Based Access Control, when the system is tested under various user roles, then it successfully prevents unauthorized access and logs all access attempts adequately.

Compliance Data Encryption and Security Measures

Given compliance data accessed by users, when the data is viewed or managed, then it is encrypted in transit and at rest, ensuring no sensitive information is exposed.

User Training and Documentation for RBAC

Given the new Role-Based Access Control feature has been implemented, when training sessions are conducted, then all users report understanding their respective permissions and responsibilities in using the compliance monitoring data.

Automated Regulatory Reporting

This feature automates the generation of regulatory compliance reports using data securely stored on the blockchain. By simplifying the reporting process and ensuring that all necessary documentation is available and up-to-date, it saves time and reduces administrative burdens for Fleet Operations Managers.

Requirements

Blockchain Data Security

User Story: As a Fleet Operations Manager, I want assurance that the data used in compliance reports is secure and tamper-proof, so that I can trust the information I am submitting to regulatory authorities.
Description: This requirement focuses on ensuring that all regulatory compliance reports generated through the Automated Regulatory Reporting feature are based on data that is securely stored on the blockchain. The use of blockchain technology enhances data integrity and security, making it nearly impossible for unauthorized users to alter or delete records. This requirement ensures that FleetWise maintains the highest standards of data security while complying with regulatory standards, ultimately instilling greater confidence in users regarding the veracity of their reports.
Acceptance Criteria: Fleet Operations Manager generates a regulatory compliance report after submitting necessary data for the first time using the Automated Regulatory Reporting feature.

Given that the data is securely stored on the blockchain, when the Fleet Operations Manager initiates the report generation, then the system should successfully create the report using the blockchain data without any errors.

Fleet Operations Manager reviews the generated regulatory compliance report to verify that the data matches the stored blockchain records.

Given that the regulatory compliance report has been generated, when the Fleet Operations Manager compares the report data with the blockchain records, then all data points in the report must match the corresponding records on the blockchain.

Fleet Operations Manager receives a notification after the regulatory compliance report has been successfully generated.

Given that the regulatory compliance report generation process is complete, when the report is generated, then the Fleet Operations Manager should receive an automated notification confirming the successful completion of the report.

Fleet Operations Manager attempts to generate a report using tampered blockchain data to evaluate system security.

Given that the blockchain data has been tampered with, when the Fleet Operations Manager tries to generate a report, then the system should prevent report generation and return an error message indicating that the data is invalid due to integrity issues.

Fleet Operations Manager reviews the elapsed time for generating a regulatory compliance report to measure efficiency improvements.

Given that the Fleet Operations Manager initiates the report generation process, when the report is generated, then the system should record and display the time taken for the report generation, which must not exceed the predefined threshold to ensure efficiency.

Customizable Reporting Templates

User Story: As a Fleet Operations Manager, I want to customize reporting templates to fit specific regulatory needs so that I can efficiently prepare accurate and compliant reports.
Description: This requirement entails the development of customizable templates for regulatory reporting. Fleet Operations Managers should have the ability to tailor these templates to meet specific regulatory requirements pertinent to their operations. This feature will encompass various formats, data fields, and layouts, enabling users to streamline their reporting process and save time during report preparation. By offering customizable templates, FleetWise enhances user flexibility, allowing for quick adjustments to changing regulations without requiring extensive redesigns.
Acceptance Criteria: Fleet Operations Manager customizes the reporting template for a new environmental compliance regulation using FleetWise's customizable reporting templates feature.

Given I am logged in as a Fleet Operations Manager, when I navigate to the 'Customizable Reporting Templates' section and select a template to edit, then I should be able to modify various fields including title, regulatory requirements, and data layout, and save the changes successfully.

A Fleet Operations Manager needs to generate a compliance report using the customized template created for the new regulation.

Given I have a customized reporting template saved for environmental compliance, when I select this template and the relevant date range for the report, then I should be able to generate a report that reflects all current compliance data without errors or omissions.

Regulatory requirements change and the Fleet Operations Manager must update the existing reporting template accordingly.

Given that new regulatory requirements have been issued, when I access my previously saved reporting template, then I should be able to update the necessary fields and save the revised template with a new version number, ensuring the old version remains unchanged until the new version is tested and approved.

A compliance report is being reviewed by the fleet compliance auditor, who needs to verify if the template used meets the latest regulations.

Given a compliance report generated from a customizable reporting template, when the auditor reviews the report, then all fields specified by the latest regulations should be present and correctly filled out according to the data stored in FleetWise.

Fleet Operations Manager wants to export the compliance report generated from a customizable template to a preferred file format.

Given that I have generated a compliance report from a customizable template, when I choose to export the report, then I should have options to export in PDF, Excel, and CSV formats, and each exported file should match the on-screen report in content and layout.

The customizable reporting templates will be used by different Fleet Operations Managers with varying roles and permissions.

Given that Fleet Operations Managers have different roles within the system, when they access the customizable reporting templates, then permissions must restrict access to editing templates based on the user's role, ensuring that only authorized users can make changes to any templates.

There is a need to track the history of changes made to the customizable reporting templates for auditing purposes.

Given that changes are made to any customizable reporting template, when a change is saved, then the system should log the changes with timestamps, user IDs, and details of modifications and make this history accessible for review by authorized personnel.

Real-time Data Integration

User Story: As a Fleet Operations Manager, I want the reporting feature to pull real-time data from all fleet systems, so that I can ensure my regulatory reports reflect the most current and accurate information available.
Description: This requirement emphasizes the need for real-time data integration from various sources within the FleetWise platform. The Automated Regulatory Reporting feature must pull the most current data from the fleet management systems, maintenance records, and logistics data to ensure that reports are generated based on the latest available information. This real-time capability minimizes the risk of submitting outdated or incorrect information, optimizing compliance accuracy and enhancing decision-making.
Acceptance Criteria: Automated Regulatory Reporting utilizing real-time data integration for a recent compliance deadline.

Given that the system has access to the latest data from fleet management, maintenance records, and logistics data, when the Fleet Operations Manager initiates the report generation, then the system should compile and display the report with data timestamped within the last 24 hours.

Real-time data accuracy verification during the reporting process.

Given that the report is generated, when the Fleet Operations Manager reviews the report, then all data points should match the latest data available in the respective systems, with no discrepancies detected.

Automated alerts and notifications for outdated data prior to report generation.

Given that the regulatory reporting process is being prepared, when the system identifies data older than the specified threshold (e.g., 24 hours), then it should trigger an alert to the Fleet Operations Manager signaling the need to refresh or verify data before proceeding.

Integration with blockchain for storing generated reports.

Given that the report has been generated, when the Fleet Operations Manager submits the report for compliance, then the system must securely store a copy of the report on the blockchain, ensuring tamper-proof and verifiable record-keeping.

Performance testing for data retrieval times during report generation.

Given that multiple sources of data are being integrated to generate a report, when the report generation is initiated, then it should complete within 2 minutes for 95% of all report requests under standard operating conditions.

User access control and audit logs for compliance reporting actions.

Given that a report is generated, when the Fleet Operations Manager accesses the reporting function, then an audit log entry should be created that includes user ID, timestamp, and action taken for compliance tracking.

Automated Notifications for Due Reports

User Story: As a Fleet Operations Manager, I want to receive automated reminders for compliance report due dates, so that I can ensure I submit all necessary documents on time.
Description: This requirement entails the implementation of an automated notification system to remind Fleet Operations Managers of upcoming compliance report deadlines. Notifications should be customizable based on the user's preferred communication channels, such as email or in-app alerts. This feature helps ensure that users do not miss deadlines for submitting regulatory reports, thereby avoiding potential penalties or compliance issues. By integrating this notification system, FleetWise aids users in managing their regulatory obligations more effectively.
Acceptance Criteria: Fleet Operations Managers need to receive automated notifications for upcoming compliance report deadlines to avoid penalties for late submissions.

Given a compliance report deadline is approaching, when the date is one week away, then the Fleet Operations Manager should receive an email notification and an in-app alert.

A Fleet Operations Manager wishes to customize notification preferences to receive alerts through their preferred communication channel.

Given the user is logged into their FleetWise account, when they update their notification settings to choose email and in-app alerts, then the system should save and apply these preferences successfully.

After setting up the automated notifications, the Fleet Operations Manager wants to ensure they receive timely reminders in advance of their reports' due dates.

Given that the notification settings have been configured, when the date for a compliance report deadline is three days away, then the Fleet Operations Manager should receive an email reminder, and an in-app alert should be triggered.

A Fleet Operations Manager needs to verify that notifications are sent consistently and correctly according to the predefined schedule.

Given that there are multiple compliance report deadlines in a week, when the dates are within the configured notification periods, then notifications should be sent out punctually for each report.

Fleet Operations Managers may forget to update their notification preferences, leading to missed reports and penalties.

Given the user has not updated their notification settings in a month, when they log into FleetWise, then a prompt should appear reminding them to review and update their notification preferences.

Management wants to assess the effectiveness of the automated notification system in reducing late submissions of compliance reports.

Given the automated notification system is live, when comparing submission dates before and after implementation, then the percentage of late submissions should decrease by at least 20% within the first quarter.

Audit Trail Tracking

User Story: As a Fleet Operations Manager, I want to track all actions related to regulatory reporting, so that I can maintain an accurate history of changes and ensure compliance during audits.
Description: This requirement involves creating a comprehensive audit trail for all activities related to the Automated Regulatory Reporting feature. The audit trail should log every action taken within the system, including data modifications, report generations, and user interactions. This feature is vital for maintaining accountability and ensuring compliance with regulatory standards. The audit trail will provide clear visibility into how reports are generated and modified over time, facilitating transparency and readiness for audits or inspections.
Acceptance Criteria: Audit Trail Tracking for Data Modifications

Given a user modifies data related to the Automated Regulatory Reporting, when the changes are saved, then the audit trail should log the user ID, timestamp, and specific changes made to the data.

Audit Trail Tracking for Report Generation

Given a user generates a regulatory compliance report, when the report generation is completed, then the audit trail should log the user ID, timestamp, and report details including parameters used in generation.

Audit Trail Tracking for User Interactions

Given a user interacts with the Automated Regulatory Reporting feature, when any action is performed (e.g., viewing, editing), then the audit trail should log the user ID, timestamp, and type of interaction.

Audit Trail Visibility for Compliance Reviews

Given an administrator accesses the audit trail, when they filter the logs by date and user, then the system should display all relevant activity logs that match the specified criteria.

Audit Trail Integrity Verification

Given the audit trail is generated, when a data integrity check is performed, then the log entries should demonstrate no discrepancies between logged actions and actual activity within the system.

Audit Trail for Retrospective Reports

Given a user requests access to historical regulatory reports, when the request is processed, then the system should provide the report along with an audit trail showing how it was generated and modified over time.

External Access to Audit Trail for Inspections

Given an external auditor requests access to the audit trail, when the request is processed, then access should be granted only to audit logs relevant to their specific inquiry or requirement.

Stakeholder Access Control

Stakeholder Access Control allows Fleet Managers to grant limited access to the blockchain records based on user roles. This secure access ensures that only authorized personnel can view sensitive compliance and maintenance data, safeguarding confidentiality while promoting collaboration among relevant stakeholders.

Requirements

Role-based Access Management

User Story: As a Fleet Manager, I want to assign specific roles and permissions to my team so that they can access only the relevant data necessary for their tasks without compromising sensitive information.
Description: Role-based Access Management enables Fleet Managers to define and manage user roles within the FleetWise platform. Each role will have specific permissions associated with it, dictating what users can view and interact with based on their job function. This feature ensures that sensitive compliance and maintenance records are only accessible to personnel who require the information for their specific responsibilities. By providing tailored access controls, FleetWise enhances security and compliance while facilitating collaboration among relevant stakeholders, thus mitigating risks associated with unauthorized access to critical data.
Acceptance Criteria: Fleet Manager defines user roles and permissions for the internal audit team.

Given a Fleet Manager with permissions to access role management, when they define a new role for the internal audit team with specific permissions, then that role should allow access only to compliance and maintenance data relevant to the audit team.

A user attempts to access sensitive maintenance records outside their role permissions.

Given a user with restricted permissions, when they attempt to access sensitive maintenance records not included in their role, then access should be denied with an appropriate error message indicating insufficient permissions.

Fleet Manager reviews and updates user roles as personnel change.

Given a Fleet Manager with access to user roles, when they update permissions for an existing user role, then the changes should immediately reflect in the user’s access rights across the platform.

New user is onboarded with a predefined role.

Given a new user being onboarded, when they are assigned a predefined user role by the Fleet Manager, then the user should automatically receive access to all permissions associated with that role on first login.

Fleet Manager generates a report of user roles and their permissions.

Given a Fleet Manager, when they generate a report of all user roles and their associated permissions, then the report should accurately reflect the current state of access for each role in a downloadable format.

Auditor needs to access historical maintenance records for compliance checking.

Given an auditor with the appropriate role, when they request access to historical maintenance records, then they should be able to view only the records related to their compliance checks without accessing broader sensitive data.

Audit Trail Tracking

User Story: As a Compliance Officer, I want to view a complete history of access and modifications to sensitive data so that I can ensure our operations comply with regulations and identify any unauthorized activity.
Description: Audit Trail Tracking captures and logs all access and changes made to sensitive compliance and maintenance data within the FleetWise platform. This feature ensures that any actions taken by users regarding sensitive data are fully transparent, allowing Fleet Managers to monitor who accessed or modified information and when it occurred. With this audit trail in place, FleetWise not only strengthens security but also aids in compliance with industry regulations and best practices, providing accountability and traceability in data management across the platform.
Acceptance Criteria: User Access Logging for Compliance Monitoring

Given an authorized user accesses sensitive compliance data, when the user logs in and out of the system, then an entry should be recorded in the audit trail with the user's ID, timestamp, and action performed.

Modification Tracking for Sensitive Data

Given a user with editing permission modifies sensitive maintenance data, when the change is saved, then the audit trail should log the previous value, the new value, the user ID, and the timestamp of the modification.

Automated Audit Reporting for Fleet Managers

Given a fleet manager requests an audit report, when the request is processed, then the system should generate a report showing all access and modifications to sensitive data within a specified date range, including user ID, action, and timestamp.

Unauthorized Access Attempts Logging

Given a user attempts to access sensitive data without proper permissions, when the system denies access, then the attempted access should be logged in the audit trail with the user ID, timestamp, and the reason for denial.

Audit Trail Accessibility for Review

Given a fleet manager needs to review access logs, when they navigate to the audit trail section, then the system should display a searchable and filterable list of all actions taken on sensitive data, including user ID, timestamp, and actions.

Customizable Access Levels

User Story: As a Fleet Manager, I want to customize access levels for users based on their roles and responsibilities so that I can maintain control over sensitive information and ensure that my team works efficiently.
Description: Customizable Access Levels allow Fleet Managers to create and configure various access levels tailored to different user needs within the FleetWise platform. By allowing granular control over what data can be accessed at different permission levels, this feature promotes a more secure environment while enabling effective information sharing among team members. Fleet Managers can easily modify access levels as team dynamics change, ensuring that the right people have the right access to the right information when they need it. This flexibility enhances operational efficiency and security within the fleet management process.
Acceptance Criteria: Fleet Manager assigns customizable access levels to the operations team members according to their roles and responsibilities in FleetWise.

Given the Fleet Manager has logged into FleetWise, When they navigate to the 'Access Control' section, Then they should be able to create new access levels and assign them to user roles effectively.

Fleet Manager modifies existing access levels for team members to reflect changes in project assignments or team dynamics.

Given the access levels have been created, When the Fleet Manager selects an access level to edit and makes the necessary changes, Then those changes should be successfully saved and implemented for the selected user roles without error.

A team member tries to access data outside their assigned access level to test the system's security.

Given a team member attempts to access restricted data that exceeds their assigned permission level, When they submit the access request, Then the system should deny the request and display an appropriate error message indicating insufficient permissions.

Fleet Manager reviews and audits the access logs to ensure compliance and track any unauthorized access attempts.

Given the Fleet Manager is in the 'Access Logs' section, When they view the logs, Then they should see a chronological list of access attempts, including successful and denied access, with timestamps and user details.

Fleet Manager needs to generate a report of all access levels and their permissions for a compliance audit.

Given the Fleet Manager selects the 'Generate Report' option in the 'Access Control' section, When they specify the report parameters, Then a comprehensive report detailing all access levels, user roles, and their permissions should be generated and downloadable in a PDF format.

A new employee joins the operations team and needs to be assigned an appropriate access level.

Given the Fleet Manager has identified the need for a new access level for the new employee, When they create and assign the access level, Then the new employee should receive a confirmation notification of their access rights and be able to access the assigned data immediately.

Notification Alerts for Access Requests

User Story: As a Fleet Manager, I want to receive notifications when team members request access to sensitive data so that I can respond quickly and maintain control over the information shared.
Description: Notification Alerts for Access Requests provide Fleet Managers with immediate alerts when a user requests access to restricted data within the FleetWise platform. By implementing this feature, FleetWise ensures that Fleet Managers can quickly assess and respond to access requests, making timely decisions on whether to grant or deny access based on the requestor's role and need for information. This capability reinforces security protocols, helping to maintain the confidentiality of sensitive data while fostering a culture of accountability among team members regarding data access.
Acceptance Criteria: Fleet Manager receives an access request notification from a junior team member wanting to access specific maintenance data.

Given a user requests access to restricted data, when the request is made, then the Fleet Manager receives an immediate notification alert via the dashboard and email.

A Fleet Manager reviews and responds to multiple access requests at the end of the month during a compliance check.

Given multiple access requests pending, when the Fleet Manager opens the notification panel, then they can view the details of each request, including the user's role and the data requested, and respond to each request individually.

An unauthorized user attempts to request access to sensitive data outside their defined role.

Given an unauthorized user submits an access request, when the request is made, then the system denies the request automatically without notification to the Fleet Manager.

A Fleet Manager wants to audit all access requests made within the last month to ensure compliance with access policies.

Given the Fleet Manager initiates an audit, when they generate the access request report, then they should see a complete list of all requests, including who requested the access, the data requested, the response, and timestamps for each entry.

A Fleet Manager must verify user roles before approving access requests.

Given the Fleet Manager clicks on an access request, when they check the user’s role details, then they will only approve access if the role matches the permissions for the requested data.

A Fleet Manager needs to receive a summary report of all access requests at the end of the week.

Given the week has ended, when the Fleet Manager verifies their email, then they should receive a summary report of all pending and completed access requests, including approvals and denials, in a specified format.

User Access Review Dashboard

User Story: As a Fleet Manager, I want to review the access permissions of all users regularly so that I can ensure that the system remains secure and compliant with access control policies.
Description: User Access Review Dashboard provides Fleet Managers with a comprehensive overview of all user access permissions, including active users, assigned roles, and their associated permissions. This dashboard allows for periodic reviews of access controls, helping to identify any unnecessary access rights or user roles that need updating. By regularly reviewing user access, FleetWise assists managers in ensuring compliance and reducing potential security risks associated with excessive permissions. This proactive approach to user access management fosters a more secure operating environment for the organization.
Acceptance Criteria: Fleet Managers need to review user access permissions bi-annually to ensure compliance with company policies and security protocols, especially before critical audits.

Given Fleet Managers are logged into the User Access Review Dashboard, when they select the 'Review Permissions' option, then they should see a complete list of all users, their assigned roles, and associated permissions segmented by role status (active/inactive).

During a weekly team meeting, Fleet Managers want to discuss user access rights and identify any unnecessarily elevated permissions among certain users, to improve security.

Given a Fleet Manager accesses the User Access Review Dashboard, when they filter the user list by permissions level, then they should be able to generate a report highlighting users with administrative permissions who should have lower access roles.

In response to a recent security incident, the Fleet Manager prefers immediate access to the current list of permissions, allowing for quick adjustments to minimize exposure.

Given that the Fleet Manager accesses the User Access Review Dashboard, when they request to view the latest permissions changes, then the dashboard should display all modifications made in the past 30 days with timestamps and user actions.

A new compliance requirement mandates that all users with access to sensitive data must be reviewed monthly, ensuring only authorized personnel retain access.

Given the Fleet Manager sets up access review alerts on the User Access Review Dashboard, when the review period arrives, then the dashboard should automatically notify the manager with a summary of users requiring review, showcasing how long each user has held their current permissions.

The company is undergoing an internal audit, necessitating a detailed audit trail of user access changes and reviews for verification.

Given the Fleet Manager requests an audit report, when they select the relevant permissions review period from the User Access Review Dashboard, then the system should generate a comprehensive report detailing all access requests and changes, including timestamps and the relevant stakeholders involved in each change.

To mitigate risks, when a user leaves the company, the Fleet Manager must quickly ensure their access is revoked in a timely manner to prevent unauthorized access.

Given the Fleet Manager identifies a user whose role has been terminated, when they select the user from the User Access Review Dashboard and initiate an access revocation, then the system must confirm that the user's access permissions have been immediately flagged as inactive and logged in the audit trail.

Smart Contracts for Compliance

Utilizing smart contracts, this feature automates compliance workflows by executing predefined conditions for maintenance and inspections. Automating these processes reduces errors and streamlines compliance checks, ensuring that vehicles are maintained according to regulatory standards without manual intervention.

Requirements

Automated Maintenance Tracking

User Story: As a fleet manager, I want an automated system for tracking maintenance schedules so that I can ensure all vehicles are compliant with regulations and reduce unexpected downtime caused by maintenance issues.
Description: This requirement involves the implementation of an automated system to track the maintenance schedules of all fleet vehicles based on predefined criteria. It ensures that each vehicle adheres to maintenance protocols without manual tracking, reducing the chances of human error and ensuring compliance with industry regulations. The primary benefit is the reduction of vehicle downtime and ensures that all vehicles are up to standard, thereby enhancing safety and reliability. This system will integrate seamlessly with FleetWise's existing dashboard, providing real-time updates and alerts for upcoming maintenance needs, enabling proactive management of fleet maintenance schedules.
Acceptance Criteria: Automated Maintenance Reminder Notification

Given a vehicle is approaching its scheduled maintenance date, when the automated maintenance tracking system is active, then an alert should be sent to the fleet manager and driver 72 hours before the maintenance is due.

Seamless Integration with FleetWise Dashboard

Given that the automated maintenance tracking system is integrated into FleetWise's existing platform, when a user accesses the dashboard, then real-time updates on upcoming maintenance schedules should be visible without requiring manual input.

Compliance Reporting for Regulatory Standards

Given that the automated maintenance tracking system is monitoring vehicle maintenance protocols, when compliance reports are generated, then the report should accurately reflect all maintenance performed in the last 12 months and highlight any compliance issues.

Error Reduction in Maintenance Scheduling

Given that the automated system is tracking maintenance schedules, when maintenance is due for a vehicle, then the system should reduce scheduling errors to less than 1% compared to the previous manual tracking method.

Real-time Tracking Updates

Given that maintenance records are automatically tracked, when a maintenance task is completed, then the system should update the vehicle’s status and notify relevant stakeholders within 5 minutes.

User Access and Permissions for Maintenance Tracking

Given a fleet manager is utilizing the maintenance tracking feature, when assigning user roles, then the system should allow for customizable permissions to view and edit vehicle maintenance records.

User Feedback on Maintenance Alerts

Given that fleet drivers receive maintenance alerts, when a driver interacts with an alert, then the system should collect and store feedback on the alert's relevance and timeliness for future improvements.

Compliance Report Generation

User Story: As a compliance officer, I want to automatically generate compliance reports so that I can easily provide evidence of our adherence to regulations without spending hours preparing documentation.
Description: This requirement specifies the capability to automatically generate compliance reports based on completed maintenance and inspection actions recorded by smart contracts. The system will pull data from various sources within FleetWise to create comprehensive compliance reports that can be shared with regulatory bodies. This will streamline the process of proving compliance, alleviate the burden of manual report creation, and ensure that documentation is always accurate and up-to-date. The reports will include key metrics, upcoming due dates for inspections, and a history of compliance actions taken for each vehicle.
Acceptance Criteria: Compliance report generation for a fleet of vehicles after routine maintenance is completed.

Given that the maintenance action has been completed and recorded by the smart contracts, when the compliance report generation is triggered, then a report should be automatically generated that includes the date, details of the maintenance performed, and vehicle identification.

Reviewing the compliance report prior to submission to a regulatory body.

Given that the compliance report has been generated, when the report is reviewed by a fleet manager, then it must display all key metrics accurately, including upcoming inspection due dates and historical compliance actions without data discrepancies.

Sharing the compliance report with a regulatory body via email.

Given that the compliance report is finalized and approved by the fleet manager, when the fleet manager sends the report via email, then the recipient should receive the correct report format with all necessary attachments included.

Real-time update of compliance report data following an inspection.

Given that an inspection occurs and the results are recorded by the smart contracts, when the compliance report is accessed, then it should reflect the most recent inspection results automatically without requiring manual updates.

Verification of automated alerts for overdue maintenance in compliance reports.

Given that a vehicle's maintenance due date is approaching, when the compliance report is generated, then it should include an alert indicating which vehicles are overdue for maintenance, helping to ensure timely compliance.

Audit trail capability for compliance report generation changes.

Given that changes are made to the compliance report after its initial generation, when an audit trail is accessed, then all modifications should be logged with timestamps and user details for accountability.

Real-time Compliance Alerts

User Story: As a fleet manager, I want to receive real-time alerts for compliance actions so that I can take timely steps to maintain our fleet's compliance status and avoid penalties.
Description: This requirement covers the capability of the system to send real-time alerts to fleet managers and drivers about compliance-related actions that need to be taken. Such alerts might include reminders for upcoming maintenance, notifications of inspection due dates, or alerts when a vehicle falls out of compliance due to actions or inactions. This feature aims to keep all team members informed and proactive about compliance, ultimately reducing the risk of penalties and ensuring that vehicles meet regulatory standards at all times. Alerts can be customized based on user preferences, ensuring relevance and timeliness.
Acceptance Criteria: Fleet Manager receives an alert about an upcoming maintenance requirement for a vehicle based on its usage and schedule.

Given a vehicle that is due for maintenance, when the scheduled time approaches, then the fleet manager receives a real-time alert via the dashboard and email.

A driver is notified of an inspection due date for their assigned vehicle.

Given that a driver's vehicle is due for inspection within the next week, when the system detects this condition, then the driver receives an immediate notification on their mobile app with the inspection due date and location.

Fleet Manager customizes alert preferences for compliance notifications.

Given that the fleet manager has access to the alert settings, when they select specific notification preferences for maintenance and inspections, then the system updates to reflect these preferences, and the manager receives relevant alerts only based on their settings.

A vehicle falls out of compliance due to a missed inspection date.

Given that a vehicle misses its inspection date, when this occurs, then an automated alert is sent to both the fleet manager and the assigned driver informing them of the non-compliance and potential penalties.

Fleet Manager reviews the history of compliance alerts sent in the last month.

Given that the fleet manager needs to review compliance records, when they access the compliance alerts history feature, then they can see a detailed list of all alerts sent, along with timestamps and actions taken, for the last 30 days.

A fleet manager needs to ensure alerts are sent in a timely manner before compliance deadlines.

Given that compliance deadlines are set, when a deadline is within specified timeframes (e.g., 7 days before maintenance), then the system should send alerts to the fleet manager and drivers on the morning of the deadline.

A driver acknowledges receipt of a compliance alert.

Given that a driver receives a compliance alert, when they read and acknowledge the alert in the mobile app, then the system logs this acknowledgment and updates the alert status to 'acknowledged' for record-keeping.

Integration with Regulatory Databases

User Story: As an operations director, I want FleetWise to integrate with regulatory databases so that we can stay updated on compliance requirements and adapt our processes accordingly without risking non-compliance.
Description: This requirement mandates the development of a robust integration system with relevant regulatory databases to ensure that FleetWise remains updated with the latest compliance requirements. This system will periodically fetch changes in regulations and assist in updating compliance protocols within the maintenance and inspection smart contracts. The ongoing integration with external databases will help FleetWise proactively adapt to regulations, reducing the risk of non-compliance and ensuring that fleet operations align with legal standards.
Acceptance Criteria: Integration with Regulatory Databases is successfully established and operational within FleetWise.

Given that the system is connected to the regulatory databases, when a change in regulations occurs, then FleetWise should fetch the updated information within 24 hours and reflect these changes in the compliance protocols.

FleetWise demonstrates that it can accurately update compliance protocols based on the data retrieved from regulatory databases.

Given that new regulatory updates are applied, when the maintenance and inspection smart contracts are executed, then compliance checks should reflect the latest regulatory requirements without manual intervention with an accuracy rate of 100%.

Users confirm the effectiveness and efficiency of the integration feature during the testing phase.

Given that the regulatory database integration has been implemented, when users run the compliance workflows, then users should report a satisfaction score of at least 80% regarding the automation of compliance processes as measured by user feedback surveys.

FleetWise proactively identifies potential compliance risks based on regulatory updates.

Given that regulatory changes occur, when these updates are fetched, then FleetWise should automatically flag any potential compliance risks resulting from the new regulations before the next scheduled maintenance.

FleetWise integration with regulatory databases does not disrupt existing operations.

Given that the integration is live, when users access FleetWise features during operational hours, then there should be no downtime exceeding 15 minutes due to the integration implementation over a one-month period.

The integration logs regulatory database updates for auditing purposes.

Given that regulatory data is fetched from external sources, when the system retrieves this information, then detailed logs should be generated capturing the date, time, data retrieved, and any changes made, available for review within 48 hours of the data fetch.

Audit Trail for Compliance Actions

User Story: As an internal auditor, I want an audit trail for compliance actions so that I can easily review past compliance efforts and ensure that our fleet meets all regulatory standards during audits.
Description: This requirement involves the development of an audit trail feature for all compliance-related actions taken within the FleetWise platform. Each interaction related to maintenance and inspection will be logged, showcasing timestamps, user actions, and system-generated actions. This transparency is critical for both internal review processes and external audits, ensuring accountability and historical tracking of compliance efforts. The feature will enhance trust and facilitate smoother audits, proving that compliance efforts have been systematically followed and documented.
Acceptance Criteria: Logging User Actions for Maintenance Compliance

Given a user conducts a maintenance action on a vehicle, when the action is completed, then the system must log the action with a timestamp, user ID, and corresponding vehicle ID in the audit trail.

System-Generated Inspections Audit Trail

Given an inspection is scheduled and completed, when the system generates the inspection report, then it must log the report generation with a timestamp, inspection details, and the responsible system user in the audit trail.

Reviewing Compliance Actions by Management

Given a manager wants to review compliance actions, when they access the audit trail, then they must see a comprehensive list of all logged actions, searchable by date, user, and action type.

Integrating with External Audit Tools

Given an external auditor requires access to the compliance audit trail, when the feature is provided, then it must allow secure access to audit logs while ensuring compliance with data privacy standards.

Automated Notifications for Compliance Gaps

Given the system detects a gap in compliance actions, when the detection occurs, then it must trigger an automated notification to the relevant user for follow-up actions.

Audit Trail Data Retention Policy

Given that compliance records must be retained, when data is logged in the audit trail, then it must adhere to the defined retention policy of at least five years for compliance audits.

User Access Control for Audit Trail

Given different user roles within the FleetWise platform, when a user attempts to access the audit trail, then system access must be restricted based on their role permissions to ensure data security.

User Role Management for Compliance Features

User Story: As an admin, I want to manage user roles for compliance features so that I can ensure only authorized personnel can access and manage compliance data and tasks, enhancing security and accountability.
Description: This requirement will enable user role management specifically for compliance features within FleetWise. It will allow the administration to assign different levels of access and responsibilities for users concerning compliance-related functions such as maintenance logging, report generation, and alerts. This capability ensures that sensitive compliance data is only accessible to authorized personnel, providing better security and control over compliance-related information. It also allows for distinct workflows based on roles, streamlining the compliance management process.
Acceptance Criteria: Admin assigns different user roles for compliance features in FleetWise.

Given an admin user access to the FleetWise platform, when they navigate to the User Management section, then they should see options to assign roles such as 'Compliance Officer', 'Maintenance Manager', and 'Inspector' with specific permissions related to compliance workflows.

A Compliance Officer logs maintenance activities in compliance with the assigned role.

Given a user with the 'Compliance Officer' role, when they attempt to log maintenance activities, then they can successfully enter data for the maintenance log and save it without receiving any unauthorized access errors.

Test the reporting capabilities of users with the 'Maintenance Manager' role.

Given a user with the 'Maintenance Manager' role, when they generate a compliance report, then they should be able to view and export the report without access denial, while users without this role receive a proper access denied message.

Ensure that alerts for compliance checks are only visible to authorized roles.

Given a user with the 'Inspector' role, when they log into FleetWise, then they should only see alerts related to inspections and maintenance due dates, while users without this role do not see these alerts.

Admin revokes a user's access and verifies access restrictions.

Given an admin revokes access to a user with a compliance role, when the revoked user attempts to access any compliance features, then they receive an access denied message confirming their role has been removed.

Audit trail for changes in user roles and compliance accesses.

Given an admin makes role changes in the User Management section, when these changes are saved, then an audit log should record the changes including the user details, timestamp, and nature of the change.

Role-based dashboard view for users based on assigned roles.

Given a user logs into FleetWise, when they access the dashboard, then the displayed information and actionable items should vary based on the assigned user role, ensuring each role sees their relevant features.

Decentralized Verification Network

The Decentralized Verification Network enables trusted third parties to authenticate and verify the compliance documents stored on the blockchain. This feature enhances the credibility of the records, fosters trust among stakeholders, and simplifies due diligence for partners and regulatory bodies.

Requirements

Document Authentication Process

User Story: As a compliance officer, I want to verify compliance documents submitted by third parties so that I can ensure our partners meet regulatory standards and maintain trust in our operations.
Description: The Document Authentication Process requirement outlines the functionality for trusted third parties to submit and verify compliance documents on the blockchain system. This process includes mechanisms for secure access, submission protocols, and a verification workflow that integrates seamlessly with existing decentralized systems. The benefits include enhanced transparency, reduction of fraud, increased trust from partners, and simplified due diligence for regulatory bodies. This requirement is critical in establishing a reliable framework for document verification, fostering confidence among all stakeholders that compliance documents are authentic and tamper-proof.
Acceptance Criteria: Trusted third parties need to authenticate compliance documents through the FleetWise platform during a scheduled audit by regulatory bodies.

Given a user with authorized access, when they submit a compliance document for authentication, then the document must be securely uploaded and logged in the blockchain system with a timestamp and unique identifier.

During the document verification process, transparency is crucial for stakeholders monitoring compliance status.

Given a compliance document submitted for verification, when the verification is completed, then a notification with the verification status should be generated and sent to all relevant stakeholders, including dates and verification results.

In the event of an unsuccessful verification, stakeholders must receive a detailed explanation of the failure reason to address potential issues.

Given a compliance document that fails verification, when the verification process is complete, then the system must provide a clear explanation of the failure and actions needed for resubmission to the user.

Compliance documents must be accessed securely to prevent unauthorized access during the authentication process.

Given a compliance document is uploaded for verification, when an unauthorized party attempts to access it, then the system must deny access and log the attempt for security auditing.

The system must allow third parties to review and verify previously submitted compliance documents conveniently.

Given an authenticated user, when they request access to previous documents, then the system must display a complete history of documents submitted for verification, including their status and verification dates.

To maintain the integrity of the record, users must ensure that submitted documents are tamper-proof before and after submission.

Given a compliance document submitted for authentication, when the document is verified, then a cryptographic hash must be generated and stored on the blockchain to confirm its authenticity and prevent alteration.

User Access Control for Verification Parties

User Story: As a document verifier, I want to have access to a secure platform where I can authenticate documents safely, so that I can confidently confirm compliance without risking exposure to unauthorized users.
Description: The User Access Control requirement defines the rules and permissions for different user roles involved in the Decentralized Verification Network. It specifies how trusted third parties can access, view, and submit verification requests for compliance documents. This is crucial for maintaining security and ensuring that only authorized individuals can interact with the sensitive documents stored on the blockchain. Effective access control helps prevent unauthorized access and data breaches, thereby enhancing the integrity of the verification process and building stakeholder trust.
Acceptance Criteria: User Role Management for Verification Parties

Given a user with admin privileges, when they attempt to create a new verification party role, then the role should be successfully created and listed in the system with appropriate permissions defined.

Access Control Enforcement for Compliance Document Requests

Given a trusted third party user, when they attempt to access a compliance document without the necessary permissions, then the system should deny access and display an error message indicating insufficient permissions.

Role-based Submission of Verification Requests

Given a verification party assigned to a specific role, when they submit a verification request for a compliance document, then the system should log the request with their role and ensure that only authorized roles can submit requests for sensitive documents.

Audit Trail of User Access

Given any user action taken by a verification party on compliance documents, when an admin reviews the audit log, then all access and modification actions should be timestamped and attributed to the corresponding user.

User Authentication for Verification Parties

Given a trusted third party attempting to log in, when they enter valid credentials, then they should be successfully authenticated and directed to their dashboard based on their role.

Permission Revocation Process

Given an admin revoking a verification party's access, when the revocation is processed, then the user should be automatically logged out and denied access to all previously accessible documents.

Compliance Document Visibility Based on Role

Given different roles within the verification party, when a user with a specific role views compliance documents, then the system should display only those documents they are authorized to view while hiding others based on their permissions.

Audit Trail Implementation

User Story: As a regulatory auditor, I want to review the complete history of document verifications so that I can verify compliance and ensure that the processes followed are transparent and trustworthy.
Description: The Audit Trail Implementation requirement mandates the creation of a comprehensive logging system that documents every action taken during the verification process. This should include timestamps, user identity, actions performed, and outcomes. The audit trail is vital for regulatory compliance, allowing organizations to provide evidence of due diligence and audit readiness. The implementation of an audit trail will enhance accountability, enable traceability of changes and verifications, and reassure all parties involved about the transparency and reliability of the verification process.
Acceptance Criteria: Logging User Actions During Document Verification

Given a user accesses the verification network, When the user performs any action (e.g., upload, approve, reject a document), Then the system must log the action with a timestamp, user ID, action type, and outcome in the audit trail.

Retrievability of Audit Logs

Given the audit trail is implemented, When a user requests to view the logs for a specific time frame, Then the system must retrieve and display all logs within 10 seconds, showing the relevant details for each action taken during that period.

Compliance with Regulatory Standards

Given the audit trail logs are generated, When a compliance officer audits the system, Then all logged actions must meet the defined regulatory standards (e.g., GDPR, HIPAA) without any discrepancies or missing entries.

User Interface for Audit Review

Given the audit trail is implemented, When a user accesses the audit review interface, Then the user should see a user-friendly layout that includes options to filter, sort, and export the audit logs to CSV format.

Data Integrity of Audit Logs

Given logs are being generated in the system, When a user views the audit trail, Then the logs must be tamper-proof, ensuring that no entry can be altered or deleted once recorded, with clear indications of any attempted modifications.

Notification on Audit Trail Entries

Given a new action has been logged in the audit trail, When the logging process is complete, Then the system should notify relevant stakeholders (e.g., compliance officer, administrators) via email with a summary of the logged action.

Real-time Notification System

User Story: As a stakeholder in the verification process, I want to receive real-time notifications about document status changes, so that I am always updated and can act promptly when necessary.
Description: The Real-time Notification System requirement involves building a feature that automatically updates stakeholders when compliance document submissions or verification requests are made. Notifications should be customizable based on user preferences and delivered through multiple channels (email, SMS, in-app notifications). This system is crucial for improving communication among stakeholders, ensuring timely responses to compliance submissions, and keeping all parties informed throughout the verification process. Effective notification systems lead to faster processing times and enhance user engagement.
Acceptance Criteria: Notification of Compliance Document Submission to Stakeholders

Given a user submits a compliance document, when the submission is successful, then all designated stakeholders receive a notification via email and in-app notification within 5 minutes of submission.

Customizable Notification Preferences for Users

Given a user accesses their notification settings, when they update their preferences for notification channels, then those preferences should be saved and reflected in the next notification sent to the user.

Real-time Alerts for Verification Requests

Given a verification request is initiated, when the request is sent, then all relevant stakeholders receive a notification via SMS and email within 3 minutes.

History Log of Notifications Sent

Given notifications have been sent, when a stakeholder accesses the notification history, then the system should display a complete log including the timestamp, type of notification, and content for the last 30 days.

No Notification After Document Verification Completion

Given a compliance document verification process is completed successfully, when the outcome is confirmed, then stakeholders should receive a notification confirming the verification result within 5 minutes.

Failover Notification System in Case of Delivery Failure

Given a notification fails to be delivered via the primary channel, when the system detects the failure, then the notification should be automatically sent through an alternative channel within 5 minutes.

User Engagement Metrics for Notifications Sent

Given notifications are sent to users, when analyzing the user engagement metrics, then the system should show at least a 70% open rate for email notifications and an 80% read rate for in-app notifications within 2 weeks.

Blockchain Integration for Document Storage

User Story: As a fleet manager, I want compliance documents to be securely stored on a blockchain, so that I can trust their authenticity and ensure they are protected against any form of tampering.
Description: The Blockchain Integration for Document Storage requirement focuses on securely storing compliance documents on a blockchain network. This integration guarantees that documents are immutable, verifiable, and easily accessible to authorized users. It eliminates the risks associated with traditional document storage solutions, such as data manipulation and unauthorized access. By ensuring that all records are stored on a blockchain, this requirement fosters trust in the system while enabling seamless retrieval of documents during the verification process. It supports the overall aim of creating a decentralized and reliable verification network.
Acceptance Criteria: As a fleet manager, I want to securely upload compliance documents to the blockchain so that they are immutable and verifiable at all times.

Given the fleet manager is logged into the FleetWise system, When they upload a compliance document, Then the document should be securely stored on the blockchain and marked as immutable with a unique transaction ID.

As an authorized user, I want to retrieve compliance documents from the blockchain so that I can verify if they are up-to-date and accurate.

Given the authorized user requests to view a compliance document, When they access the document, Then they should see the document along with the transaction ID and timestamp indicating when it was stored on the blockchain.

As a regulatory body, I want to validate compliance documents stored on the blockchain to ensure they meet all necessary regulations.

Given the regulatory body has access to the FleetWise system, When they initiate a verification request on a specific document, Then the system should confirm the document's authenticity and provide the verification details including the blockchain transaction history.

As a third-party verifier, I want to trust that the compliance documents are accurate and have not been altered since their storage on the blockchain.

Given the third-party verifier accesses a compliance document, When they check its status on the blockchain, Then they should see a record indicating that the document has not been modified since it was uploaded.

As a fleet manager, I want to be notified if any compliance documents are nearing expiration to ensure timely updates.

Given the fleet manager has uploaded compliance documents, When a document is within 30 days of expiration, Then the system should send an alert notification to the fleet manager's dashboard and email.

As a developer, I want to ensure that our integration with the blockchain is reliable and error-free to maintain user trust.

Given the development team conducts unit tests on the blockchain integration code, When all tests are executed, Then at least 95% of the tests should pass without errors.

As a user, I want to ensure my uploaded documents are accessible only by authorized personnel to protect sensitive information.

Given a compliance document is uploaded to the blockchain, When I check the access permissions, Then only users with specific roles (as set in the system) should be able to view or download the document.

Dynamic Metric Selection

Dynamic Metric Selection allows users to choose from a wide array of data points that best suit their reporting needs. Users can easily select, deselect, or reorder metrics according to their specific requirements, enabling them to focus on the most relevant data. This customizable approach enhances the reporting experience by ensuring users receive precise analytics that align with their strategic objectives.

Requirements

Custom Metric Selection

User Story: As a fleet manager, I want to customize the metrics on my report so that I can focus on the data that matter most to my operations and decision-making processes.
Description: The Custom Metric Selection requirement allows users to personalize their reporting experience by selecting and managing the metrics displayed in their dashboards and reports. This feature supports users in their decision-making processes by providing them with the ability to highlight the most relevant data points that meet their unique operational demands. With options to select, deselect, and reorder metrics, users can tailor the presentation of statistics to better align with their strategic goals and analyses. This flexibility not just enhances user satisfaction but also drives more informed decision-making, promoting efficiency in fleet management functions within FleetWise.
Acceptance Criteria: User Customization of Metrics in Dashboard

Given a user logged into FleetWise, When they navigate to the dashboard configuration page, Then they should see a list of all available metrics with options to select, deselect, or reorder each metric for display.

Saving Customized Metric Preferences

Given a user has selected their preferred metrics in the dashboard, When they click the 'Save Preferences' button, Then the system should store these preferences, and the dashboard should reflect the selected metrics upon the user’s next login.

Default Metrics on Initial Dashboard Load

Given a new user has just created an account on FleetWise, When they first load their dashboard, Then the display should show the pre-defined default metrics relevant to standard fleet management operations without any customization.

Validation of Metric Selection Functionality

Given a user selects multiple metrics to display on the dashboard, When they refresh the page or log out and log in again, Then the same selected metrics should remain displayed, ensuring persistence of user settings.

Reordering Metrics in the Dashboard

Given a user has multiple selected metrics displayed on their dashboard, When they drag and drop metrics to reorder them, Then the new order should be immediately reflected in the dashboard without requiring a page refresh.

Error Handling for Invalid Metric Selection

Given a user attempts to select an unavailable or unsupported metric, When they attempt to save their configuration, Then the system should display an error message stating that the selection is invalid and no changes should be saved.

User Feedback on Selection Process

Given a user has made changes to their metric selections, When they save their preferences, Then the system should provide a confirmation message indicating their changes have been successfully saved.

Real-time Metric Updates

User Story: As a fleet manager, I want my metrics to update in real time so that I can react quickly to changes in fleet performance and operational efficiency.
Description: The Real-time Metric Updates requirement ensures that all selected metrics are updated in real time as new data becomes available. This capability is crucial for users who require immediate insights regarding fleet performance, maintenance needs, and operational efficiency. By providing instant updates, users can react promptly to emerging issues or opportunities, allowing for improved responsiveness and adaptability in fleet management. This feature integrates seamlessly with FleetWise’s real-time tracking and predictive analytics tools, enhancing the overall functionality and user experience by minimizing latency in reporting.
Acceptance Criteria: User selects multiple metrics to display on the dashboard for real-time monitoring of fleet performance during a peak operational period.

Given that a user has selected metrics for real-time updates, when new data becomes available, then the dashboard should reflect the latest data within 5 seconds.

A fleet manager needs to quickly assess the health of vehicles in real-time during an unexpected breakdown situation.

Given that a fleet manager has selected metrics related to vehicle health, when data is updated, then the manager should receive alerts within 10 seconds of any significant changes in metrics.

An operations analyst wants to generate a report with selected metrics from various operational sources for a weekly analysis.

Given that an analyst has reconfigured their metric selection on the reporting tool, when they request the report, then the report should include only the selected metrics and show real-time data from the last week.

A driver checks the real-time fleet metrics on their mobile device to optimize their route based on current traffic conditions.

Given that the driver is logged into the mobile application, when they access the metrics dashboard, then they should see real-time updates on traffic conditions affecting their route within 5 seconds of data refresh.

A user adjusts the metric settings to prioritize fuel consumption data for more accurate monitoring during delivery schedules.

Given that the user has prioritized fuel consumption metrics on their dashboard, when new fuel consumption data is available, then the dashboard should update to reflect this new data immediately without requiring a page refresh.

A fleet manager reviews metrics to identify maintenance needs before a scheduled fleet evaluation meeting.

Given that the fleet manager is viewing the real-time metrics, when maintenance metrics indicate an approaching deadline, then an alert should be displayed within 5 seconds for timely action.

A user wants to deselect a metric from their view that is no longer relevant for their reporting needs.

Given that a user is logged in and wishes to deselect a metric, when they save the changes, then the dashboard should immediately reflect the updated list of displayed metrics without any lag.

Metric Comparison Tool

User Story: As a fleet analyst, I want to compare different metrics against each other so that I can identify trends and correlations that inform our operational strategies.
Description: The Metric Comparison Tool requirement offers users the ability to compare different metrics side by side, providing deeper insights into operational trends and performance. This feature is essential for analysts who need to gauge the relationship between various operational aspects, such as fuel consumption versus vehicle uptime or maintenance frequency against operational costs. The comparison visualization will empower users to spot correlations and make data-driven decisions. This requirement enhances the analytical capabilities of FleetWise, enabling management teams to optimize operations and reduce costs based on comprehensive data interpretations.
Acceptance Criteria: User wants to compare fuel consumption and vehicle uptime for selected vehicles over the last month.

Given the user has selected the vehicles and time period, when they click on the 'Compare Metrics' button, then the comparison visualization must display side-by-side metrics for fuel consumption and vehicle uptime.

User needs to customize the metrics displayed in the comparison tool to focus on operational costs versus maintenance frequency.

Given the user accesses the Metric Comparison Tool, when they select 'Operational Costs' and 'Maintenance Frequency', then these two metrics should become visible in the comparison view after clicking 'Compare'.

Analyst wants to generate a report based on the comparison of multiple metrics to present to the management team.

Given the user has compared at least three different metrics, when they select the 'Export Report' option, then a downloadable report should be generated in PDF format containing the comparison data and visualizations.

User is comparing vehicle performance metrics to identify trends over various time periods.

Given the user has selected different time periods for the same set of metrics, when they execute the comparison, then the tool must display how metrics have changed over the chosen periods with appropriate visual indicators.

User needs to view tooltip information for metric definitions during the comparison process.

Given that the user hovers over a metric title in the comparison tool, when the tooltip appears, then it must contain the definition of the metric and its relevance to fleet management.

User wants to reset the comparison metrics after running an analysis.

Given the user has made selections for metrics and performed a comparison, when they click the 'Reset' button, then all selected metrics must be cleared, returning the tool to its default state without errors.

Historical Data Analysis Support

User Story: As a fleet manager, I want to analyze historical data so that I can recognize trends over time and make informed decisions for future fleet management.
Description: The Historical Data Analysis Support requirement provides users with the capability to analyze historical metric data, allowing them to identify patterns and trends over time. Users can select a time frame for analysis and visualize historical data in a manner that facilitates easy comparison with current metrics. This feature is aimed at enhancing strategic planning and forecasting by giving fleet managers and analysts insights into past performance. Integration with FleetWise's analytics engine will ensure that users can generate detailed reports that assist in operational reviews and planning, leading to more strategic decision-making.
Acceptance Criteria: User is conducting a historical data analysis for fleet performance over the last quarter to identify trends in maintenance issues and fuel consumption.

Given the user has selected a time frame of the last quarter, when they view historical metrics, then the system displays the relevant historical data accurately, allowing for comparison with current metrics.

A fleet manager wants to generate a report comparing the historical maintenance costs with the current month to assess improvements over time.

Given the user has selected historical maintenance cost metrics and the current month, when they generate the report, then the system produces a detailed report that clearly shows the comparison with visual aids like graphs or charts.

An analyst is analyzing historical data to identify patterns of fuel consumption based on different route types.

Given the user has selected different route metrics for a specified time frame, when they request the analysis, then the system visualizes the fuel consumption patterns with the ability to filter by route type and time period.

A user intends to export historical data analysis results for presentation during a strategic review meeting.

Given that the user has successfully analyzed historical metrics, when they choose to export the data, then the system allows the export to common formats like CSV or PDF, ensuring all selected metrics and visualizations are included.

Fleet management staff are reviewing past performance data to assist in future operational planning.

Given the analysis is conducted over a selectable time frame, when specific past performance metrics are reviewed, then users can easily save these settings for future reference or, adjust them as needed for further analysis.

User Accessibility Settings for Metrics

User Story: As an administrator, I want to set visibility permissions for metrics so that each user can see and interact with the data relevant to their role.
Description: The User Accessibility Settings for Metrics requirement enables users to customize the visibility and arrangement of metrics based on their roles and preferences. This aspect of the feature is crucial for organizations with diverse teams where different users may require access to different data points. By implementing role-based visibility settings, administrators can ensure that sensitive data is only accessible to authorized users while providing all team members with the metrics they need for their specific functions. This requirement enhances both security and usability, improving the overall experience of FleetWise.
Acceptance Criteria: User Role Based Access to Metrics

Given an administrator user, when they set visibility settings for various metrics based on roles, then only users assigned to those roles should see the designated metrics on their dashboard.

User Customization Persistence

Given a user has modified their metric preferences (selecting, deselecting, or reordering), when they log out and log back in, then their previous settings should be retained and reflected on their dashboard.

Sensitive Data Protection

Given a user with a lower access role, when they attempt to access sensitive metrics not assigned to their role, then they should receive an error message indicating insufficient permissions.

Customization Process Efficiency

Given a user is customizing their metrics, when they save their changes, then the system should process the request within 2 seconds and confirm the successful update to the user.

Metric Sorting Functionality

Given a logged-in user in the metrics selection interface, when they opt to reorder the metrics, then the changes in the arrangement should be visually reflected immediately on their dashboard.

Comprehensive Audit Trail for Settings Changes

Given an administrator modifies visibility settings for metrics, when they save these changes, then an audit log should be recorded detailing the changes made, the user who made them, and the date/time of the change.

Role-Based Default Settings Application

Given a new user is assigned to a specific role, when they first log in, then the default metric visibility settings should automatically be applied based on the predefined role settings.

Visual Report Designer

The Visual Report Designer offers an intuitive drag-and-drop interface that empowers users to create visually appealing reports with ease. By allowing users to integrate charts, graphs, and tables in real time, this feature enhances the presentation of data, making it more comprehensible and engaging. It helps users to convey insights effectively, which is crucial for impactful presentations to stakeholders.

Requirements

Drag-and-Drop Interface

User Story: As a data analyst, I want to use a drag-and-drop interface to design my reports so that I can save time and present my insights more clearly without needing programming skills.
Description: The Drag-and-Drop Interface allows users to easily add, move, and customize report elements (charts, graphs, tables) within the Visual Report Designer. This capability enhances user productivity by reducing the time needed to create reports and enables users without technical skills to design professional-looking reports intuitively. Integrating this feature effectively into the product will ensure that users can engage with their data easily and creatively, leading to more effective communication of insights. Additionally, it fosters a user-friendly experience that can cater to a broader audience.
Acceptance Criteria: User adds a chart to a report using the drag-and-drop interface.

Given a user is in the Visual Report Designer, When the user drags a chart element from the sidebar to the report canvas, Then the chart should be placed accurately on the canvas without any lag or error.

User moves an existing report element to a new location within the report.

Given a user has added a table to the report canvas, When the user drags the table to a new position on the canvas, Then the table should move to the new location without losing any data or formatting.

User customizes a chart after adding it to the report.

Given a user has added a chart to a report, When the user clicks on the chart and selects different data points or styles, Then the chart should update in real time to reflect these changes accurately.

User removes an existing element from the report using the drag-and-drop interface.

Given a user has placed a graph on the report canvas, When the user drags the graph to the delete zone indicated on the interface, Then the graph should be removed from the canvas.

User saves a report after making changes to its elements.

Given a user has added and arranged multiple report elements, When the user clicks the save button, Then the report should be saved successfully with all elements in their specified positions and configurations.

User receives feedback or error messages when invalid actions are performed during drag-and-drop.

Given a user attempts to drop an element outside of the designated report area, When the action fails, Then the user should receive a clear error message indicating the action was invalid.

Real-time Data Integration

User Story: As a fleet manager, I want to integrate real-time data into my reports so that I can present the most accurate information and make quick decisions based on the latest fleet performance data.
Description: Real-time Data Integration is essential for the Visual Report Designer to ensure that users can pull data directly from various sources without delays. This feature will allow users to create reports that are always up-to-date, reflecting the latest data from their fleet management systems or any other integrated data sources. By facilitating seamless data connections, users will have the ability to make timely and informed decisions based on current insights, thus increasing operational efficiency and responsiveness in reporting.
Acceptance Criteria: User retrieves live data from multiple fleet management systems to create a visual report within the Visual Report Designer.

Given the user selects data sources from the integrations panel, when they initiate the data pull, then the Visual Report Designer populates the report with the latest data from all selected sources without any delays.

User updates an existing report in the Visual Report Designer with new data and saves the changes.

Given the user modifies the report by adding new charts and updating the data fields, when they save the report, then the changes are reflected in the report immediately and can be viewed by other users in real-time.

User shares a completed report generated using real-time data integration with stakeholders.

Given the user completes the report, when they use the 'Share' feature, then the report is sent to selected stakeholders with a timestamp indicating that it contains real-time data from the integration.

User performs a refresh on the report in the Visual Report Designer to fetch the most current data.

Given the user clicks the 'Refresh' button on the report, when the refresh is completed, then the report updates to reflect any changes in the data sources within a maximum of 5 seconds.

User integrates a new data source into the Visual Report Designer for real-time data access.

Given the user accesses the integration settings, when they connect a new data source, then the Visual Report Designer should validate the connection and retrieve sample data within 2 minutes.

User experiences an error while trying to pull data from an outdated source.

Given the user attempts to generate a report with a deprecated data source, when they initiate the data pull, then an error message is displayed explaining the issue and suggesting the update of data source credentials.

User wants to view the historical data alongside real-time data in their report.

Given the user selects both historical and real-time data options, when they generate the report, then the report displays a clear distinction between real-time and historical data points.

Customizable Templates

User Story: As a business user, I want to use customizable templates for my reports so that I can save time and maintain a consistent look and feel with my company's branding.
Description: Customizable Templates will provide users with pre-designed report layouts that they can further adapt to fit their specific needs. Offering a range of styles and formats ensures that users can quickly start their reports, significantly reducing the time taken to create a visually appealing document from scratch. This feature not only enhances user satisfaction but also promotes consistency in branding and presentation across different reports, making it easier for stakeholders to digest and understand the information presented.
Acceptance Criteria: User utilizes the Visual Report Designer to create a new report based on a customizable template that matches their branding requirements.

Given a selection of customizable templates, when the user selects a template, then they should be able to modify text, colors, and fonts to match their branding.

User wants to save their customized template for future use to maintain consistency across reports.

Given a customized report template, when the user saves the template, then it should be accessible in the 'My Templates' section for future use and selectable within the Visual Report Designer.

User integrates data from an external source into the customized template to create a report.

Given a customizable template and an external data source, when the user imports data, then the template should update with charts and graphs reflecting the newly imported data dynamically.

User seeks to print the report created from a customizable template, ensuring the print layout matches the on-screen design.

Given a finalized report based on a customizable template, when the user selects print, then the printed document should have the same layout and design as displayed on the screen.

User wants to share their report created with a customizable template via email to stakeholders.

Given a report created using a customizable template, when the user selects the share option, then the report should generate a PDF that preserves the template's design and can be emailed directly from the platform.

User attempts to edit an existing customizable template previously saved in their account.

Given an existing customizable template, when the user selects edit, then they should be able to modify any aspect of the template and save the changes without errors.

Interactive Data Visualization

User Story: As a presentation manager, I want to include interactive visualizations in my reports so that I can engage my audience better and allow them to explore the data dynamically during presentations.
Description: Interactive Data Visualization enables users to create reports that include interactive elements such as clickable charts and drill-down capabilities. This requirement is crucial for engaging stakeholders and allowing them to explore the data more deeply within the presentation. By implementing interactive data elements, users can enhance the storytelling aspect of their data, provide better insights, and facilitate more meaningful discussions during meetings, leading to improved decision-making processes.
Acceptance Criteria: User creates a report with an interactive chart that users can click on to view more detailed data.

Given a user has accessed the Visual Report Designer, when they drag and drop an interactive chart into the report and publish it, then the report should allow users to interact with the chart, displaying detailed data within the report.

User integrates drill-down capabilities into an existing report to analyze data trends more effectively.

Given a user is editing an existing report, when they select a data point on an interactive chart, then the system should provide drill-down options to view underlying data for selected categories or timeframes.

Stakeholders view a published report with interactive data elements during a presentation to assess overall performance metrics.

Given a stakeholder accesses a published report, when they interact with any of the charts or graphs, then the report should respond dynamically, updating other visual elements to reflect the selected data context relevant to their inquiry.

User wants to share the interactive report with team members via email.

Given a user has finalized an interactive report, when they select the 'Share' option and enter recipient emails, then all recipients should receive an email with a secure link to access the interactive report without any loss of functionality.

User edits an interactive chart's settings to change its visualization type.

Given a user is in the edit mode of the Visual Report Designer, when they select an interactive chart and choose a different visualization type, then the chart should update instantly to reflect the new visualization settings without any data loss.

Multiple users collaborate in real-time on creating an interactive report.

Given multiple users are collaborating on the same report within the Visual Report Designer, when one user adds an interactive element, then all collaborators should see the changes in real-time without the need to refresh their browsers.

User runs a presentation using an interactive report displayed on a large screen.

Given a user is presenting an interactive report on a screen during a meeting, when they click on any interactive data element, then all meeting attendees should be able to see the updates and interactions in real-time as the presenter navigates through the report.

Export Options

User Story: As a project lead, I want to export my reports in various formats so that I can share them with different stakeholders who have varying preferences for report consumption.
Description: Export Options will allow users to export their designed reports in multiple formats such as PDF, Excel, and PowerPoint, facilitating the easy sharing and presentation of insights to various stakeholders. This requirement enhances the usability of the Visual Report Designer by ensuring that users can use their reports in diverse environments and for different purposes, maintaining the integrity and design of the reports during the export process. Furthermore, it encourages collaboration and feedback by simplifying the distribution of reports.
Acceptance Criteria: Exporting a report as a PDF format for a stakeholder presentation.

Given a user has designed a report in the Visual Report Designer, When the user selects PDF as the export format, Then the exported document should maintain all design elements, including charts and graphs, accurately in the PDF file.

Exporting a report to Excel for data analysis.

Given a user has structured a report with tables in the Visual Report Designer, When the user chooses Excel as the export format, Then the exported Excel file should contain all the tables formatted correctly without any loss of data or layout.

Exporting a report to PowerPoint for a meeting.

Given a user has created a report with various slides in the Visual Report Designer, When the user opts to export to PowerPoint, Then the resulting PowerPoint presentation should include all slides with charts, graphs, and text intact and formatted correctly.

Testing the export functionality for large reports.

Given a user has designed a large report with extensive data visualizations, When the user exports the report in any format, Then the operation should complete within 5 seconds without errors or crashes, and all content should be accurately represented in the exported file.

Sharing an exported report directly via email.

Given a user has exported a report in PDF format, When the user selects the option to share via email, Then the system should automatically attach the exported PDF file to an email draft and provide fields for recipient addresses.

Confirming file integrity after export.

Given a user has exported a report in any selected format, When the user opens the file, Then the file should open without errors, and all visual components should be present and correctly formatted as per the original report.

Validating user permissions during export.

Given a user has limited permissions on the Visual Report Designer, When they attempt to export a report, Then the system should restrict the export and provide a message indicating insufficient permissions for exporting.

Automated Reporting Scheduler

Automated Reporting Scheduler enables users to set up recurring reports that are generated and distributed automatically at predefined intervals. This feature saves time and ensures that stakeholders receive timely insights without the need for manual intervention. By keeping all parties informed with up-to-date analytics, it supports continuous decision-making processes.

Requirements

Customizable Report Templates

User Story: As a fleet manager, I want to customize the report templates so that I can include relevant metrics that matter most to my stakeholders, enabling better informed strategic decisions.
Description: The customizable report templates requirement enables users to tailor the layout and content of their automated reports based on their specific needs. This flexibility allows stakeholders to prioritize information and format their data in a way that enhances clarity and understanding. By offering a range of customizable options, users can create reports that not only align with their operational requirements but also reflect their branding. This requirement enhances user satisfaction and effectiveness of communication, ultimately improving decision-making processes and stakeholder engagement.
Acceptance Criteria: User Customization for Automated Report Generation

Given a user accesses the customizable report templates feature, when they select a template, then they should be able to modify the layout, data fields, and branding elements according to their preferences and save these configurations for future use.

Predefined Reporting Schedules

Given a user has set up a reporting schedule, when the schedule is activated, then the system should generate and send out reports automatically at the specified intervals, ensuring timely delivery to all stakeholders.

Template Preview Functionality

Given a user is customizing their report template, when they select the option to preview, then the system should display a real-time rendering of the report based on the current template settings, allowing for immediate adjustments.

Branding Elements Integration

Given a user utilizes customizable report templates, when they upload their logo and select brand colors, then the system should integrate these elements into the reports, ensuring brand consistency across all generated documents.

Multiple Template Saving and Management

Given a user has created multiple report templates, when they access the template management section, then they should be able to view, edit, and delete these templates with ease.

User Access Control for Template Management

Given a user has administrative privileges, when they navigate to the template management settings, then they should be able to assign or restrict access to specific templates for different user roles within the organization.

Multi-Channel Report Distribution

User Story: As a team member, I want to receive automated reports through my preferred channel, such as email or SMS, so that I can quickly access important data anytime and anywhere.
Description: The multi-channel report distribution requirement ensures that automated reports can be sent via various channels such as email, SMS, or in-app notifications. This feature caters to the preferences of different stakeholders, ensuring they receive critical insights through their preferred communication mediums. By providing multi-channel distribution, the platform increases the likelihood of report consumption and enhances stakeholder engagement. Additionally, this functionality supports timely access to important data, thereby aiding in proactive decision-making.
Acceptance Criteria: As a fleet manager, I want to schedule weekly performance reports to be delivered via email to my team every Monday morning, so that they can review vehicle status and maintenance needs regularly.

Given a scheduled report is set for delivery via email, when the time reaches the specified schedule, then the report should be sent to the designated email addresses without errors.

As a driver, I need to receive critical updates about my vehicle's status via SMS, especially regarding any immediate maintenance needs, so that I can address issues quickly and avoid breakdowns.

Given that I have opted in for SMS notifications, when a report containing urgent vehicle status updates is generated, then I should receive an SMS alerting me to the specifics mentioned in the report.

As a stakeholder, I prefer to receive my reports through in-app notifications, so I can quickly access and review the insights whenever I log into the FleetWise platform.

Given that I have selected in-app notifications, when the scheduled report is generated, then I should see a notification in the app with a link to view the report directly.

As an executive, I want to ensure that my team receives daily summaries through multiple channels, so that all stakeholders are kept informed and can act on the data promptly.

Given that the report is scheduled for a daily summary, when the report is generated, then it should automatically distribute the summary via email and SMS to specified recipients without fail.

As a system administrator, I want to test the failure scenario where a report fails to deliver, so that I can ensure that alerts for non-delivery are properly generated and logged for troubleshooting.

Given a report scheduled for delivery, when the delivery fails due to a system error, then an alert should be sent to the administrator with the error details logged for review.

As a manager, I want to customize the frequency of report deliveries based on my team’s workload, so I can ensure that reports do not overwhelm my team with unnecessary information during busy periods.

Given that the report schedule is customizable, when I select a bi-weekly option instead of weekly, then the system should update the reporting schedule accordingly and reflect that change in settings.

Dynamic Scheduling Options

User Story: As a logistics director, I want to set my own report scheduling options so that I can ensure that the reports are generated and sent out at the most appropriate times for my team’s workflow.
Description: The dynamic scheduling options requirement allows users to set flexible timings for report generation and distribution, including daily, weekly, or monthly intervals. Users can further customize the exact time for these reports to match their decision-making schedules, ensuring that critical information is available when it is most needed. This feature helps reduce delays in accessing necessary information, empowering quicker responses and enhanced organizational agility. Users can anticipate needs, streamline workflows, and optimize operations based on timely data.
Acceptance Criteria: User schedules daily reports at 8 AM on weekdays to review fleet performance and maintenance status.

Given a user is logged into the FleetWise platform, when they select the report type and set the schedule to daily at 8 AM for weekdays, then the system generates and distributes the report via email at the specified time.

User sets up a weekly performance analysis report that should be sent every Monday at 10 AM.

Given a user is logged into the FleetWise platform, when they choose the weekly report option and specify Monday at 10 AM, then the report should be generated and sent to the designated stakeholders every Monday at the specified time.

User configures a monthly summary report to be sent out on the last day of each month at 5 PM.

Given a user is logged into the FleetWise platform, when they select the monthly report scheduling option and set it for the last day of the month at 5 PM, then the report should be generated and sent to the user at that time without manual intervention.

User modifies an existing report schedule from weekly to bi-weekly on Thursdays at 3 PM.

Given a user has an existing report scheduled weekly, when they change the frequency to bi-weekly and select Thursdays at 3 PM for the schedule, then the report should reflect the new schedule and adequately generate and send as per the new timing.

User receives notifications for reports that are not generated as scheduled.

Given a user has scheduled reports, when a report fails to generate or send due to any system error, then the user should receive an automated notification alerting them of the failure and suggesting corrective actions.

User wants to view and manage their scheduled reports through a dashboard interface.

Given a user accesses the reporting dashboard, when they click on the 'Scheduled Reports' section, then they should see a list of all their scheduled reports with the ability to edit, delete, or create new schedules.

Integrated Analytics Dashboard

User Story: As an operations manager, I want to view my automated reports directly in the FleetWise dashboard so that I can efficiently analyze data without having to leave the platform.
Description: The integrated analytics dashboard requirement enables users to access their automated reports directly within the FleetWise application. This seamless integration enhances user experience by providing easy access to insights without needing to switch between multiple platforms. Users can quickly view, analyze, and share aspects of their reports within a centralized hub that consolidates all relevant data. This not only saves time but also fosters collaboration among team members and promotes data-driven decision-making directly from a single interface.
Acceptance Criteria: User accesses the integrated analytics dashboard to view automated reports during a team meeting to discuss performance metrics.

Given the user is logged into the FleetWise application, when they navigate to the integrated analytics dashboard, then they should see the latest automated reports listed with the corresponding summaries and timestamps.

A user wants to filter and analyze specific data from their automated reports on the integrated analytics dashboard.

Given the user is on the integrated analytics dashboard, when they apply filters to the report data based on date range and vehicle types, then the displayed reports should accurately reflect the filtered parameters within 2 seconds.

Stakeholders require an automated report to be generated and emailed at a specific time every day without manual intervention.

Given that the automated reporting scheduler is configured, when the scheduled time is reached, then the system should automatically generate the report and email it to the specified stakeholders without errors in formatting or content.

A user shares an automated report from the integrated analytics dashboard with a team member via the FleetWise application.

Given the user views an automated report on the dashboard, when they click the share button and enter the team member's email, then the team member should receive a notification within 5 minutes with a link to view the shared report.

The system should allow users to customize the frequency of generated reports through the automated reporting scheduler.

Given the user accesses the automated reporting scheduler, when they select custom frequency options and save the settings, then the system should reflect the new frequency in the scheduling overview and adhere to it for future reports.

A user attempts to generate a report outside of specified limits and receives feedback through the integrated analytics dashboard.

Given the user attempts to set up a report with invalid parameters (e.g., unsupported date range), when they try to save the report, then they should receive a clear error message explaining the issue with suggested corrective actions.

The integrated analytics dashboard must remain responsive and load quickly even with a high volume of data.

Given that there are multiple reports with extensive data in the analytics dashboard, when a user accesses the dashboard, then it should load all visible reports within 3 seconds without lag or performance issues.

Automated Alert Triggers

User Story: As a fleet analyst, I want to receive automated alerts when key performance indicators show unexpected results so that I can take timely corrective action to address any issues.
Description: The automated alert triggers requirement provides the capability to set specific thresholds within reports, which, when exceeded, will automatically send alerts to specified stakeholders. This proactive feature ensures that critical deviations in metrics are communicated immediately, allowing for swift action and resolution. By integrating real-time alerts into the reporting process, users can better manage their fleet operations, enhance efficiency, and minimize the potential impact of issues. This feature significantly strengthens the system's responsiveness to changing operational conditions.
Acceptance Criteria: User sets up a threshold for vehicle fuel consumption in the Automated Reporting Scheduler.

Given a user has access to the Automated Reporting Scheduler, when they set a fuel consumption threshold at 15 miles per gallon, then the system should automatically trigger an alert if the fuel consumption falls below 15 miles per gallon.

User configures automated alert delivery preferences for stakeholders in the reporting system.

Given a user is in the alert configuration section, when they select specific stakeholders and set their notification preferences to email, then the alerts should be sent to the provided email addresses when the configured thresholds are exceeded.

A user wants to test the alert triggering mechanism in a controlled environment before implementation.

Given a user is in the testing phase of the alert system, when they simulate a threshold breach by inputting fictitious data, then the system should trigger the alert as configured for that threshold without any manual intervention.

A fleet manager reviews historical data to analyze the frequency of alerts triggered over the past month.

Given a fleet manager accesses the alert history report, when they filter by the last 30 days, then the report should accurately display all triggered alerts along with their timestamps and associated metrics.

A user wants to customize the message content for alerts sent to stakeholders.

Given a user accesses the alert message configuration, when they modify the alert message template, then the alerts sent to stakeholders should reflect the updated message format and content accordingly.

Multiple users set the same alert threshold for different metrics and want to ensure alerts are triggered independently.

Given multiple users have set identical thresholds for different metrics, when a threshold is breached in one metric, then alerts should be triggered independently for each user and metric without conflict.

User Access Control

User Story: As a system administrator, I want to set access permissions for report generation so that I can ensure that only authorized personnel have access to important operational data.
Description: The user access control requirement ensures that automated report features have customizable access permissions, allowing administrators to define who can view, modify, and generate reports. This is crucial for maintaining data security and integrity, particularly in organizations where sensitive operational data is concerned. By managing access control, organizations can prevent unauthorized modifications to reports while ensuring that relevant stakeholders have the information they need to make informed decisions. This requirement enhances compliance and strengthens overall data governance.
Acceptance Criteria: As an administrator, I want to set permissions for users to access the Automated Reporting Scheduler so that only authorized users can view or modify reports.

Given I am logged in as an administrator, when I set specific user permissions for the Automated Reporting Scheduler, then only those users with granted access can view or generate their designated reports.

As a user, I need to verify that I cannot access the Automated Reporting Scheduler if my permissions do not allow it, in order to ensure data security.

Given I am logged in as a user without permission, when I attempt to access the Automated Reporting Scheduler, then I should receive an access denied message without viewing report data.

As an administrator, I want to revoke access permissions from a user to ensure they no longer have visibility into sensitive reports after their role changes.

Given I have revoked a user's permissions for the Automated Reporting Scheduler, when that user tries to access the reports, then they should be unable to view any reports related to the Automated Reporting Scheduler.

As an organization staff member, I want to receive an alert if someone unauthorized attempts to access the Automated Reporting Scheduler, so that I can respond promptly.

Given an unauthorized user attempts to access the Automated Reporting Scheduler, then an alert should be sent to the administrator regarding the access attempt.

As a compliance officer, I want to review the logs of user access activities to ensure that access controls are being followed correctly.

Given the user access log feature is implemented, when I access the logs, then I should be able to see a record of all users who accessed the Automated Reporting Scheduler, along with timestamps and access levels.

As an administrator, I need to add new users to the Automated Reporting Scheduler with specific permissions, so that they can begin using the feature quickly.

Given I am logged in as an administrator, when I add a new user with designated permissions to the Automated Reporting Scheduler, then that user should have immediate access to the reports they are permitted to view.

Collaborative Report Sharing

Collaborative Report Sharing encourages teamwork by allowing users to easily share their customized reports with colleagues or stakeholders via a secure link or email. Users can also receive real-time feedback on reports, enabling collaborative discussions and quick adjustments. This feature promotes transparency and ensures that all team members are aligned with the latest insights and strategies.

Requirements

Secure Link Generation

User Story: As a report creator, I want to generate a secure link for my customized reports so that I can share them with my colleagues without risking data breaches.
Description: The Secure Link Generation requirement allows users to create secure, shareable links for customized reports. This functionality must incorporate end-to-end encryption to ensure that only intended recipients can access the reports. The links should be temporary and have customizable expiration settings to enhance security and control over shared content. This ensures sensitive data is protected, while also promoting ease of sharing and collaboration among team members and stakeholders.
Acceptance Criteria: User generates a secure link for a customized report to share with a colleague via email.

Given the user is logged into FleetWise, when they select a report and click 'Share', then a secure link for the report is generated with end-to-end encryption and displayed to the user.

User sets an expiration date for a secure link prior to sharing it with stakeholders.

Given the user is on the link generation page, when they specify an expiration date and time for the secure link, then the generated link should only remain active until the expiration date without fail.

A recipient attempts to access a secure link for a report after it has expired.

Given the recipient has a secure link that has expired, when they try to access the report using the link, then they receive a message indicating the link is no longer valid.

User shares a secure link via email and requests feedback from colleagues.

Given the user has generated a secure link and entered the recipients’ email addresses, when they send the email, then the recipients should receive an email with the secure link and instructions for providing feedback.

Multiple users access a secure link concurrently to review a report.

Given the secure link is generated and shared, when multiple users attempt to access the report using the same secure link simultaneously, then all users should be able to access the report without any errors or content delay.

User revokes access to a secure link before its expiration date.

Given the user has shared a secure link with an expiration date, when they choose to revoke access, then the link should immediately become invalid for all recipients regardless of its original expiration date.

Real-time Feedback Mechanism

User Story: As a team member, I want to receive real-time feedback on my reports so that I can make necessary adjustments quickly and improve the overall quality of the reports shared with the team.
Description: The Real-time Feedback Mechanism is designed to allow users to receive and provide instant feedback on shared reports. This feature should include comments, suggestions, and rating systems, enabling users to have discussions directly on the report. It must integrate seamlessly with existing notification systems to alert users of new feedback. This capability will enhance collaborative efforts, allowing for swift revisions and ensuring that the final reports meet the team's needs and standards.
Acceptance Criteria: User shares a customized report with their colleague via a secure link.

Given a user is on the report sharing page, when the user clicks the 'Share Report' button and enters a colleague's email address, then an email should be sent to the colleague with a secure link to the report.

A user receives real-time feedback on a shared report.

Given a report has been shared with a colleague, when the colleague leaves a comment on the report, then the original user should receive a notification in their notification system within 2 minutes of the comment being made.

Users engage in a discussion about a shared report through the comments section.

Given a user views a shared report, when they read through the comments section, then they should be able to add a new comment and see previous comments sorted by the most recent first.

Users rate the quality of the report after viewing it.

Given a user has viewed a shared report, when they select a rating from 1 to 5 stars, then their rating should be captured and displayed as part of the report's feedback summary.

The real-time feedback mechanism integrates with existing notification systems.

Given a user has the notifications feature enabled, when feedback is provided on a shared report, then a corresponding notification should be generated in the user's notification system, visible in their dashboard.

All team members access the feedback provided on their reports.

Given multiple users are collaborating on a report, when any user accesses the report, then they should see all feedback provided by other users in the feedback section of the report.

Centralized Report Library

User Story: As a user, I want to access a centralized library of reports so that I can quickly locate and utilize shared reports without having to search through multiple sources.
Description: The Centralized Report Library will serve as a repository for all shared reports, allowing users to access, review, and organize reports in a single location. This feature must include search functionality, filtering options, and categorization to help users quickly find the reports they need. Furthermore, it should allow users to set permissions for who can view and edit specific reports, promoting organization and ensuring sensitive data is handled properly while enhancing workflow efficiency.
Acceptance Criteria: Report Access and Search Functionality

Given a user has access to the Centralized Report Library, when they enter a keyword in the search bar, then the system should display all reports that contain the keyword in the title or description within 2 seconds.

Report Filtering and Categorization

Given a user is viewing the Centralized Report Library, when they select filter options to categorize reports by date or type, then the system should only display reports that match the selected criteria within 3 seconds.

Permissions for Reports

Given a user is the owner of a report, when they set permissions for that report, then the system should allow them to specify which colleagues can view or edit the report and the changes should be reflected immediately in the permissions settings.

Real-Time Feedback on Reports

Given a user shares a report link with colleagues, when a colleague leaves feedback on the report, then the original user should receive a notification within 1 minute of the feedback being submitted.

Downloading Reports from the Library

Given a user is in the Centralized Report Library, when they select a report to download, then the system should allow them to download the report in their preferred format (PDF, Excel) without any errors or interruptions.

Organizing Reports in Folders

Given a user has access to the Centralized Report Library, when they create a new folder and move reports into it, then the system should successfully reorganize the reports and reflect the changes immediately in the library view.

Report Versioning and History Tracking

Given a user is reviewing a report in the Centralized Report Library, when they access the version history, then the system should display a chronological list of changes made to the report along with timestamps and user names.

Automated Report Notifications

User Story: As a user, I want to receive automated notifications about new reports and feedback so that I can stay up-to-date and react promptly to changes that affect my work.
Description: Automated Report Notifications will send alerts to users when new reports are shared or when feedback is provided on their reports. This feature should allow users to customize their notification preferences, including email alerts or in-app notifications, to ensure they stay informed about relevant updates. By streamlining communication regarding reports, this feature promotes awareness and improves collaboration among team members by ensuring everyone is aware of important changes in real-time.
Acceptance Criteria: User receives a notification when a new report is shared with them.

Given a user has set up their notification preferences, when a report is shared with them, then they should receive an alert via the selected channels (email or in-app notification).

User can customize their notification preferences for report alerts.

Given a user accesses their notification settings, when they modify their preferences, then the changes should be saved and applied to future notifications.

Users receive feedback notifications when comments are added to their reports.

Given a user has shared a report, when a colleague provides feedback on the report, then the user should receive a notification regarding the feedback through their selected channels.

Users can disable notifications for specific reports.

Given a user is viewing their notification preferences, when they choose to disable notifications for a specific report, then no notifications for that report should be sent to them going forward.

Users receive a summary of notifications at the end of each day.

Given the end of the day, when a user logs into the platform, then they should see a summary of all notifications received throughout the day related to shared reports and feedback.

Users can re-enable notifications for previously disabled reports.

Given a user has disabled notifications for a report, when they navigate to the notification settings and re-enable it, then they should start receiving notifications again for that report as per their preferences.

Version Control for Reports

User Story: As a user, I want to have version control over my reports so that I can track changes and revert to older versions if needed, ensuring that I do not lose important information during the collaborative process.
Description: The Version Control for Reports functionality will enable users to track changes made to shared reports, allowing them to revert to previous versions if necessary. This feature must include a clear history of modifications and the ability to label versions for easy identification. By implementing this requirement, users will have greater confidence in their report management, knowing they can maintain the integrity of their work and ensure that collaboration does not lead to the loss of important insights or data.
Acceptance Criteria: User accesses a shared report and reviews the version history to understand the changes made by colleagues before making further edits.

Given a report has been shared with version control, when a user views the version history, then it displays a chronological list of all changes made, including timestamps and user details for each modification.

A user decides to revert to a previous version of a report due to changes that they deem unsatisfactory.

Given a user is viewing a report with version control, when they choose to revert to a previous version, then the selected version is restored, and all changes made since that version are logged in the modification history.

A user wants to label different versions of a report for easy identification and future reference.

Given a report has multiple versions, when the user labels a version, then the label is saved and displayed alongside the version in the version history for easy identification.

Multiple users are collaborating on a report and need to provide feedback on specific versions.

Given a shared report with version control, when a user submits feedback on a specific version, then the feedback is attached to that version and visible to all collaborators in the version history.

A user wants to ensure that all collaborators are aware of the most recent changes made to a report.

Given a report is modified, when a new version is created, then all collaborators receive a notification detailing the changes made and a link to view the updated report.

Insight Recommendations Engine

The Insight Recommendations Engine leverages advanced analytics to suggest key metrics and data points that may be relevant based on user reporting history and organizational goals. By highlighting potential insights that users might overlook, this feature enhances the depth of analysis and encourages users to explore new perspectives, ultimately leading to more informed decision-making.

Requirements

Dynamic Metrics Suggestion

User Story: As a fleet manager, I want the system to automatically suggest relevant metrics based on my previous reports so that I can make more informed decisions and uncover insights that improve fleet operations.
Description: The Dynamic Metrics Suggestion requirement aims to enhance the Insight Recommendations Engine by automatically suggesting relevant metrics and data points based on real-time analysis of user reporting behaviors and organizational goals. It is designed to identify patterns in user data and proactively present insights that align with the user's past interactions and fleet management objectives. This requirement will benefit users by facilitating deeper analytical capabilities, helping them uncover insights they might overlook, thus streamlining the decision-making process. Moreover, it integrates seamlessly into the existing dashboard, providing a user-friendly interface for ease of access to these suggestions, leading to enhanced operational efficiency and data-driven strategies.
Acceptance Criteria: User accesses the Insight Recommendations Engine to view suggested metrics after analyzing their fleet's fuel consumption data for the last month.

Given the user has accessed the Insight Recommendations Engine, when they view suggested metrics, then the system should display at least five relevant metrics based on past reporting behaviors and current organizational goals.

A user regularly checks the dashboard and relies on the Intelligent Recommendations Engine to provide insights during strategic fleet management meetings.

Given the user accesses the recommendations during a strategic meeting, when they receive the suggested metrics, then the suggestions must include at least two metrics that the user has not previously reviewed in their reports.

The recommendation engine is in use during a quarterly review to evaluate fleet performance against the set KPI targets.

Given the user is conducting a quarterly review, when the dynamic metrics are automatically suggested, then at least one of the metrics should directly relate to a KPI that is being evaluated during the review period.

A fleet manager operates the dashboard daily and wants to explore new metrics to optimize operations further.

Given that the fleet manager has interacted with the dashboard over the past month, when they click on the insights suggestion feature, then they should receive personalized metric suggestions based on their historical data exploration patterns.

Users are alerted by the system about the new metric suggestions available through the Insight Recommendations Engine after a significant operational change.

Given an operational change has been logged, when the user receives an alert about new suggestions, then the alert should contain at least three metrics correlated with the recent operational data changes.

A user wants to ensure accountability and follow-up on suggestions given by the dynamic metrics suggestion feature.

Given the user has received suggestions from the engine, when they review the metrics, then the user should have the ability to save or dismiss suggestions, and the system should track which metrics are saved for follow-up.

A user experiences the feature for the first time, wanting initial guidance on how to leverage suggested metrics.

Given the user is new to the Insight Recommendations Engine, when they open the feature for the first time, then a tutorial or onboarding message should be presented, explaining how to effectively utilize the metric suggestions.

User Engagement Tracking

User Story: As a product manager, I want to track how users interact with suggested insights so that I can refine the recommendation system and ensure it meets user needs.
Description: The User Engagement Tracking requirement focuses on implementing a feature within the Insight Recommendations Engine that monitors and analyzes user interactions with suggested recommendations. This tracking capability will capture data such as which insights are viewed, utilized, or ignored, providing valuable feedback on the feature's effectiveness. By gaining a better understanding of user engagement, FleetWise can improve the quality of future recommendations and tailor suggestions to better meet user needs. This requirement is essential for ensuring that users derive maximum value from the analytics provided, thereby enhancing overall satisfaction and ongoing product usage.
Acceptance Criteria: User views a list of recommended insights based on their historical interactions within the Insight Recommendations Engine.

Given the user accesses the Insight Recommendations Engine, when they view their dashboard, then they should see a list of at least five recommended insights that are ranked by relevance and frequency of previous interactions.

User interacts with a recommended insight by clicking on it to view detailed analytics.

Given the user selects one of the recommended insights, when they click on it, then the system should display a detailed analytics page for that insight, including visualizations and key metrics.

User ignores a recommended insight and continues to engage with other features of the platform.

Given the user views a recommendation but does not interact with it, when they navigate to other parts of the platform, then their engagement with the ignored recommendation should be tracked as an 'ignored' interaction in the user engagement log.

Admin reviews engagement metrics for the Insight Recommendations Engine to assess the effectiveness of insights provided.

Given the admin user accesses the analytics dashboard for the Insight Recommendations Engine, when they filter by date range, then they should see metrics indicating user interactions, including views, utilizations, and ignored recommendations, with data visualizations for clarity.

User provides feedback on the relevance of a recommended insight they engaged with.

Given the user has interacted with a recommended insight, when they select the 'Provide Feedback' option, then they should be presented with a feedback form to rate the insight's relevance and clarity, which is logged in the user engagement data.

Data analytics algorithms adjust recommendations based on user engagement data over a defined period.

Given the user engagement data is collected for a cycle of one month, when the system processes this data, then it should improve subsequent recommendations, reflecting an increase in engagement rates compared to the previous cycle.

Custom Insight Alerts

User Story: As a fleet manager, I want to receive alerts for specific metrics so that I can respond quickly to any changes that may affect my fleet's performance.
Description: The Custom Insight Alerts requirement will enable users to set personalized notifications for specific metrics or insights that are critical to their operations. Users can specify parameters for alerts, including thresholds for key performance indicators (KPIs) or specific events within the fleet system, ensuring they are immediately informed about important changes. This feature enhances user experience by providing timely information, allowing fleet managers to react swiftly to situations that may impact efficiency or safety. Integration with existing notification systems will ensure that alerts are delivered through preferred channels, enhancing both relevance and urgency for users.
Acceptance Criteria: User sets up a custom insight alert for the metric 'Fuel Efficiency' with a threshold of 15 MPG, requiring immediate notification if this threshold is not met during any trip.

Given the user is on the 'Custom Insights' settings page, When the user enters 'Fuel Efficiency' as the metric and sets the threshold to 15 MPG, Then the system saves the alert and shows a confirmation message that the alert has been set successfully.

A fleet manager receives an alert when a vehicle's speed exceeds the set limit, which is part of the custom insight alerts feature.

Given the fleet manager has set a speed limit alert for a vehicle at 80 MPH, When the vehicle exceeds the speed limit, Then the fleet manager receives a notification through the preferred channel within 5 minutes of the incident.

The user modifies an existing custom alert for the metric 'Maintenance Costs' by changing the threshold to $500.

Given the user is on the alerts list page, When the user selects the 'Maintenance Costs' alert and updates the threshold to $500, Then the change should be saved successfully and reflected on the alerts list within 2 minutes.

The system generates an alert for unscheduled maintenance events that occur in a vehicle's history, based on the parameters set by the user.

Given the user has set the criteria for alerting on unscheduled maintenance events, When an unscheduled maintenance event occurs, Then the user receives an alert that includes vehicle details and the nature of the maintenance within 10 minutes.

The user tests the notification sending feature to verify that it works as expected with their chosen notification channel.

Given the user has configured their preferred notification channel for alerts, When the user clicks the 'Test Notification' button, Then the system sends a test alert to the chosen channel and the user can confirm receipt within 3 minutes.

Users are able to view a history of triggered alerts to assess the effectiveness and relevance of their custom insights.

Given the user navigates to the alert history page, When the user selects the range of dates, Then the system displays a list of all triggered alerts during the selected date range, including details of each alert.

The system allows multiple users within the same organization to set their custom insight alerts independently.

Given that multiple users are logged into the system, When user A sets a custom alert for 'Fuel Efficiency' and user B sets a different alert for 'Maintenance Costs', Then each user should have their own independent alert configurations saved without interference.

Multi-User Collaboration Features

User Story: As a fleet operations team member, I want to collaborate with my colleagues on insights and recommendations so that we can make well-informed decisions as a team.
Description: The Multi-User Collaboration Features requirement aims to facilitate cooperative decision-making among multiple users within an organization. By allowing users to share insights, comment on recommendations, and collaboratively analyze data within the Insight Recommendations Engine, this feature will enable teams to leverage collective expertise and perspectives. It will improve communication and transparency in the decision-making process, ensuring that all stakeholders are aligned with operational strategies. The requirement supports the product's goal of enhancing team dynamics in fleet management, ultimately leading to more holistic and informed decisions.
Acceptance Criteria: User shares a recommended insight with team members for collaborative analysis.

Given a user has generated insights in the Insight Recommendations Engine, when they select the 'Share' option, then the insights should be successfully shared with all specified team members via their dashboard notifications.

Team members comment on a shared insight within the platform.

Given a shared insight is received by a team member, when they click on the 'Comment' section, then they should be able to write and submit their feedback, which should be visible to all users with access to that insight.

Multiple users collaboratively analyze insights and metrics together.

Given multiple users are viewing the same insight, when one user applies a filter to the data or changes the view, then the changes should be instantly reflected on all users' screens in real-time without refreshing the page.

User initiates a group discussion based on a recommendation in the Insights Recommendations Engine.

Given a user identifies a recommendation in the Insight Recommendations Engine, when they click on 'Discuss', then a group chat should launch allowing all specified users to participate in the discussion regarding that recommendation.

Users notify each other of critical insights through alerts.

Given a user identifies an urgent insight, when they select the 'Notify Team' feature, then selected team members should receive a real-time alert through both email and in-app notifications.

User generates a summary report of collaborative discussions and insights.

Given multiple users have engaged in discussions about insights, when the summary report feature is used, then the report should compile all key discussions and decisions effectively and be exportable in PDF format.

Review and provide feedback on collaborative insights within a deadline.

Given a deadline set for providing feedback on collaborative insights, when users attempt to add comments after the deadline has passed, then the system should prevent further input and notify the users that the deadline has closed.

Mobile Access for Insights

User Story: As a fleet manager, I want to access insights from my mobile device so that I can make quick decisions even when I am away from my desk.
Description: The Mobile Access for Insights requirement focuses on extending the usability of the Insight Recommendations Engine by providing mobile access to key insights and recommendations. Fleet managers and staff will be able to access critical analytics and insights on their mobile devices, facilitating real-time decision-making while on the go. This feature is crucial for improving accessibility and ensuring that users can respond to fleet needs promptly, regardless of their location. The mobile interface will be user-friendly and optimized for smaller screens, ensuring functionality does not compromise user experience.
Acceptance Criteria: Mobile Access to Insight Recommendations during Fleet Operations

Given a fleet manager is using a mobile device, when they access the Insight Recommendations Engine, then they can view all key insights and recommendations relevant to their fleet operations in real-time.

User-friendly Navigation on Mobile Interface

Given a fleet manager is navigating the mobile interface, when they attempt to access different sections of the Insight Recommendations Engine, then the navigation should be intuitive and all sections should be accessible within three taps or less.

Real-time Notification of Insights on Mobile

Given a fleet manager is logged into the mobile app, when there are new recommendations based on fleet conditions, then they should receive a push notification alerting them to these key insights without latency over 5 minutes.

Offline Access to Critical Insights

Given a fleet manager is in an area with poor internet connectivity, when they attempt to access previously loaded insights, then they should be able to view critical analytics without a live internet connection.

Data Refresh Mechanism

Given a fleet manager is using the mobile app, when they refresh the insights page, then the insights and recommendations displayed should be updated within 10 seconds to reflect the most current data.

Customizable Insight Preferences

Given a fleet manager is using the mobile application, when they set their preferences for insights and recommendations, then these preferences should be saved and applied correctly every time they access the app.

Integration with Third-Party Tools

User Story: As a fleet manager, I want to integrate the insights engine with my existing tools so that I can leverage all my data sources in one place for better analysis and decision-making.
Description: The Integration with Third-Party Tools requirement aims to expand the capability of the Insight Recommendations Engine by enabling seamless integration with popular third-party analytics and fleet management tools. This functionality will allow users to import and export data, sync metrics, and leverage additional analytics capabilities without disrupting their existing workflows. By promoting interoperability with widely-used applications, this requirement enhances user convenience and expands the potential for deeper, enriched insights that can drive better fleet performance.
Acceptance Criteria: User imports data from a third-party analytics tool to the FleetWise platform to analyze vehicle performance metrics.

Given a user with valid credentials, when they select the option to import data from a third-party tool, then the system should successfully fetch and display relevant performance metrics without errors.

User exports tailored reports from FleetWise to a third-party fleet management tool for further analysis.

Given a user has selected specific metrics in FleetWise, when they initiate the export function, then the system should generate a compatible file format and confirm a successful export to the third-party tool.

User syncs metrics between FleetWise and a popular third-party analytics tool to ensure real-time data accuracy.

Given an active user session, when metrics sync is initiated, then the system should complete the sync process within 2 minutes, reflecting the latest metrics accurately on both platforms.

A user configures integration settings to connect FleetWise with a third-party analytics application.

Given the user is in the settings page, when they input valid API keys and configuration details for the third-party tool, then the system should validate the credentials and confirm successful integration setup.

A user receives alerts from FleetWise regarding discrepancies in data between the platform and a connected third-party tool.

Given that the system detects a significant data discrepancy, when the discrepancy is identified, then the user should receive an alert notification within the platform detailing the differences.

User views analytics insights in FleetWise that incorporate data from both FleetWise and the third-party analytics tool.

Given a user is accessing the insights dashboard, when they request insights involving both data sources, then the system should seamlessly integrate and display combined analytics on the dashboard without performance lag.

Multi-Layered Data Filters

Multi-Layered Data Filters provide users with a powerful way to narrow down their data by applying various filters to their reports, such as time range, vehicle type, or operational metrics. This granular control allows users to dig deeper into specific areas of interest or concern, enhancing the relevance of insights and supporting targeted strategic initiatives.

Requirements

Dynamic Filter Selection

User Story: As a fleet manager, I want to dynamically select and change my data filters while generating reports so that I can quickly analyze various aspects of my fleet's performance without unnecessary delays.
Description: The Dynamic Filter Selection requirement enables users to interactively choose and modify multiple data filters before generating reports. This feature allows for real-time adjustments in filtering criteria, such as selecting specific vehicle types, operational metrics, or adjusting time ranges without the need for reloading or navigating away from the report generation area. This functionality not only improves user experience but also enhances the relevance and granularity of data insights provided to users, facilitating targeted decision-making and strategic analysis.
Acceptance Criteria: User selects multiple filters simultaneously to generate a report.

Given a user is on the report generation page, when they select multiple data filters (e.g., vehicle types, time ranges), then the report reflects the filtered criteria immediately without reloading the page.

User dynamically adjusts filters while viewing a report.

Given a user has generated a report, when they change any filter criteria (e.g., adjusting the time range), then the report updates in real-time to reflect the new filter settings without navigating away.

User applies filters to view specific operational metrics.

Given a user selects operational metrics as a filter, when they view the report, then only the data relevant to those metrics is displayed, ensuring relevance and clarity.

User saves filter settings for future reports.

Given a user sets specific filters for generating a report, when they save those settings, then they should be able to apply the same filters in future reports with one click.

User receives feedback when no data matches the applied filters.

Given a user has applied filters that yield no results, when they generate the report, then an appropriate message is displayed indicating no data is available for the selected criteria.

User resets applied filters to default settings.

Given a user has selected specific filters, when they choose to reset filters, then the report should revert to the default filter settings without losing data.

User accesses help documentation while applying filters.

Given a user is on the report generation page, when they hover over the filter options, then tooltips appear providing helpful information about each filter option available.

Predefined Filter Templates

User Story: As a data analyst, I want to use predefined filter templates to quickly apply my most common filters when generating reports so that I can save time and ensure consistency in my analyses.
Description: The Predefined Filter Templates requirement allows users to save commonly used filter settings and quickly apply them to their reports. These templates can be created and modified according to user preferences, simplifying the process of generating reports with multiple filters that target specific analysis needs. This feature reduces the time spent on setting filters individually, thereby increasing efficiency, promoting consistent reporting practices, and improving user satisfaction.
Acceptance Criteria: User creates and saves a predefined filter template for monthly reports.

Given a user has selected various filters for their report, when they choose to save the settings, then the settings should be saved as a predefined template for future use.

User applies a saved predefined filter template to a report.

Given a predefined filter template exists, when the user selects this template from their saved options, then the report should automatically reflect the filters included in the template.

User edits an existing predefined filter template.

Given a user has an existing predefined template, when they modify the filter settings and save the changes, then the updated template should replace the previous version without creating duplicates.

User deletes a predefined filter template from their account.

Given a user has predefined filter templates available, when they choose to delete one, then that template should no longer be accessible in the list of saved templates.

User views a list of all predefined filter templates.

Given a user is on the filter templates page, when they access the templates section, then the system should display all templates the user has created or saved.

User applies multiple predefined filter templates to a report sequentially.

Given multiple predefined filter templates have been created, when the user applies one after another to the same report, then the report should reflect the cumulative filters from all applied templates correctly.

User receives notification if a filter template fails to save due to validation errors.

Given the user has entered invalid information while saving a filter template, when they attempt to save, then the system should provide a clear error message indicating the issues that need to be corrected.

Hierarchical Filter Structure

User Story: As a fleet operator, I want to apply hierarchical filters to my reports so that I can drill down from broad categories to specific metrics, allowing me to gain deeper insights into my fleet's performance.
Description: The Hierarchical Filter Structure requirement introduces a multi-layered filtering system, allowing users to apply filters in a hierarchical manner. This allows users to first select broad categories (like vehicle type) and then apply more specific filters (like operational metrics) relevant to those categories. This structure enhances the ability to drill down into specific datasets effectively, enabling users to obtain more tailored insights that are critical for informed decision-making and operational efficiency.
Acceptance Criteria: User applies a broad filter for vehicle type and subsequently narrows down the results by selecting specific operational metrics.

Given the user is on the report page, when they select a vehicle type filter and then apply operational metrics filters, then the report displays data that exclusively matches the selected filters.

User attempts to apply multiple filters in hierarchical layers with different categories, ensuring the system handles logical relationships and dependencies between filters.

Given the user selects a broad category and applies multiple related filters, when they view the results, then the displayed data accurately reflects the intersection of all applied filters without errors.

User wants to reset all applied filters and return to the default view of the report.

Given the user has multiple filters applied, when they click the reset button, then all filters are cleared and the report reverts to the default view showing all available data.

User needs to verify that the data displayed in the report matches the selected filters during a specific time range.

Given the user applies filters for vehicle type, operational metrics, and a specific time range, when they view the results, then the displayed data is filtered correctly according to the specified criteria and time period.

User checks the performance of the hierarchical filter structure under multiple concurrent filter applications to ensure system responsiveness.

Given the user applies multiple filters simultaneously, when they perform this action, then the system responds promptly, with results updating within a predefined time limit without lag or errors.

Real-Time Filter Updates

User Story: As a fleet manager, I want to see real-time updates in my reports whenever I change my filters so that I can make quick decisions based on the most current data available.
Description: The Real-Time Filter Updates requirement provides instant updates to the reporting interface as filters are applied or modified. This functionality ensures that users see immediate changes to their data visualizations based on current filter selections, without having to refresh or submit the report. By implementing this, it enhances user interaction and engagement with the reporting tool, resulting in faster and more informed decision-making based on up-to-the-minute data.
Acceptance Criteria: User applies a time range filter to view data from the past week and expects to see the report auto-update with the filtered results immediately without any manual refresh.

Given the user applies a time range filter from last week, when the filter is set, then the report should refresh automatically to display only the data from that specific time range within 2 seconds.

A manager needs to analyze vehicle performance and applies multiple filters, including vehicle type and operational metrics, expecting the report to reflect all selected filters in real-time.

Given the user applies filters for vehicle type and operational metrics, when both filters are activated, then the displayed report should update to match the combined filters without delay, ensuring all relevant insights are shown instantly.

Users expect to remove a filter and see the report revert to the previous state immediately, ensuring smooth user experience without needing to submit or refresh.

Given the user removes an active filter, when the filter is cleared, then the report should revert to show the data as it was before the filter was applied within 2 seconds.

A user wants to save a custom filter configuration and apply it later, checking if the real-time updates still occur based on the saved filters.

Given the user saves a filter configuration, when the saved configuration is applied later, then all reports should update in real-time according to the saved filter settings without needing additional actions.

An analyst applies a filter for vehicle type and checks if the visualizations update to reflect the filtered data as it’s being applied.

Given the user selects a vehicle type filter, when the filter is set, then all related visualizations on the dashboard should update in real-time to reflect that vehicle type's data, enabling immediate analysis.

A driver using FleetWise on their mobile device applies filters while on the move and expects seamless updates on their smaller screen interface.

Given the user accesses FleetWise on a mobile device and applies filters, when the filters are applied, then the reporting interface should update to display filtered results quickly and effectively on a reduced screen size without lag.

Mobile-Friendly Filter Interface

User Story: As a fleet manager on the go, I want to use multi-layered data filters on my mobile device so that I can manage my fleet's data conveniently from anywhere.
Description: The Mobile-Friendly Filter Interface requirement ensures that the multi-layered data filters are fully functional and optimized for mobile devices. This feature allows users to effectively apply and manage filters from their smartphones or tablets, delivering the convenience and flexibility needed for fleet management on the go. By accommodating varying device form factors, the feature supports a diverse user base and enhances accessibility, enabling users to stay informed and responsive even when away from their desks.
Acceptance Criteria: User accesses the Multi-Layered Data Filters from their mobile device while in transit to quickly analyze fleet performance data.

Given a user has logged into the FleetWise application on a mobile device, when they navigate to the Multi-Layered Data Filters section, then they should be able to see all available filters with a responsive layout that fits within the screen size.

User applies multiple filters to isolate performance metrics for a specific vehicle type during a particular timeframe while on a mobile device.

Given a user is on the Multi-Layered Data Filters interface, when they apply at least three different filters (e.g., time range, vehicle type, operational metrics), then the report must accurately reflect the filtered data without any delay.

User switches from portrait to landscape mode on their mobile device while viewing the Multi-Layered Data Filters.

Given the user is in the filters section of the FleetWise application on a mobile device, when they rotate their device from portrait to landscape mode, then the interface should remain functional and all filter options must still be accessible without losing any selections.

User attempts to access the Multi-Layered Data Filters using different mobile devices with varying screen sizes.

Given a user accesses the FleetWise application on three different mobile devices (e.g., smartphone, tablet, and phablet), when they access the Multi-Layered Data Filters, then the interface must render correctly on each device, ensuring no overlap or navigation issues occur across all devices.

User wants to save their filter preferences for future reports while using a mobile device.

Given a user has applied their desired filters on the Multi-Layered Data Filters interface, when they select the option to save these preferences, then the system should prompt a confirmation message and save the settings for future use under the user's profile.

User needs to access help information about using the filters while on a mobile device.

Given the user is on the Mobile-Friendly Filter Interface, when they click on the help icon, then a clear and concise help overlay should appear, providing guidance on how to effectively use the filters without navigating away from the page.

Export to Multiple Formats

Export to Multiple Formats enables users to download their customized reports in various formats, including PDF, Excel, and PowerPoint. This flexibility allows users to easily share insights in the format that best suits their audience or use case, whether for internal discussions or external presentations, thereby enhancing the accessibility and usability of the reports.

Requirements

Export to PDF

User Story: As a fleet manager, I want to export my reports in PDF format so that I can easily share these detailed documents with my team and stakeholders for discussions and reviews.
Description: The requirement enables users to export their customized reports in PDF format, maintaining the integrity of the formatting and enabling easy sharing. This format is crucial for users who need a universally accessible and print-friendly document to distribute to various stakeholders. It enhances the reporting feature by offering high-quality visuals and clear layouts that can be utilized for meetings, presentations, or record-keeping without losing any data fidelity. The integration of PDF export should be seamless within the existing reporting interface to ensure a consistent user experience.
Acceptance Criteria: User initiates a report export in PDF format from the reporting dashboard after customizing their report with various filters and data selections.

Given a user has customized their report, when they select 'Export to PDF', then the report should be generated in PDF format with all applied customizations and filters intact.

User has successfully exported a report in PDF format and wants to share it with stakeholders via email.

Given the report has been exported to PDF, when the user opens the PDF file, then all visuals, charts, and tables should maintain their original formatting and be clearly legible.

User encounters an issue while trying to export their report to PDF and needs to receive an error message.

Given a user attempts to export a report with no data selected, when the export operation is initiated, then the user should receive a clear error message indicating they need to select data before exporting.

User intends to download a PDF to verify that the report can be accessed on multiple devices.

Given the user has exported the report to PDF, when they access the PDF on a different device, then the document should open without errors and display all content as intended.

User wants to confirm that the file size of the exported PDF report is optimized for sharing via email.

Given the report has been exported to PDF, when the user checks the file properties, then the file size should not exceed 5MB to ensure compatibility with most email providers.

User is exporting a report and anticipates a loading time; they expect an indication of progress during the export.

Given the user clicks 'Export to PDF', when the export process is ongoing, then a loading indicator should display to inform the user that the report is being generated, and disappear once the export is complete.

User needs to export a report with specific visual elements that they require in the PDF for a presentation.

Given the user selects specific visual elements in their report, when they export the report to PDF, then those selected elements should appear accurately and clearly in the generated PDF, preserving their quality.

Export to Excel

User Story: As an analyst, I want to export my reports in Excel format so that I can further analyze the data and create custom visualizations that fit my specific needs.
Description: This requirement allows users to export their customized reports in Excel format, providing a flexible data table that can be easily manipulated for further analysis. The Excel export will enable users to conduct their own calculations, create charts, or merge data with other datasets. This capability is particularly beneficial for users who require detailed data analysis and want the option to customize their reports beyond the predefined templates offered in the FleetWise platform. Integration of this feature must ensure that all data points are accurately captured and are easily readable in the Excel format.
Acceptance Criteria: As a fleet manager, I want to export my customized weekly report in Excel format, so that I can manipulate and analyze the data for internal meetings.

Given a complete customized weekly report, when I click the 'Export to Excel' button, then the report should download as a .xlsx file with all data points accurately represented in separate cells.

As a data analyst, I need to ensure that the Excel export of the report preserves data formats and types, so that further calculations can be performed without errors.

Given a report containing various data types (numbers, dates, text), when I open the exported Excel file, then all data should be formatted correctly and match the original report format.

As a fleet officer, I want to receive confirmation after exporting my report to Excel, to ensure that the process was completed successfully.

Given that I have clicked the 'Export to Excel' button, when the export is successful, then I should see a confirmation message indicating the report has been exported successfully.

As a fleet manager, I require the exported Excel report to contain specific columns, so that I can work with relevant data only.

Given that I have customized my report, when I export to Excel, then the exported report should only include the selected columns from the original report as per my custom settings.

As a fleet manager, I need to ensure that large reports do not cause errors during export, to maintain efficiency and usability.

Given a report with over 10,000 rows of data, when I initiate the Excel export, then the export should complete successfully without any error messages, and the .xlsx file should contain all data.

Export to PowerPoint

User Story: As a team leader, I want to export my reports to PowerPoint format so that I can create compelling presentations for my management team without having to redo all the work manually.
Description: The requirement focuses on enabling users to export their customized reports in PowerPoint format. This feature is designed for users who need to present their findings in a visually appealing and easy-to-understand manner during meetings or focus groups. By allowing for a smooth transition from report to presentation, users can effectively showcase insights and recommendations without the need to recreate content. The exported PowerPoint should maintain all essential elements of the reports, ensuring that visuals and key data points are displayed appropriately, making it easier for users to communicate their messages effectively.
Acceptance Criteria: User exports a customized report in PowerPoint format during a team meeting preparation, ensuring they can present the findings seamlessly to their colleagues.

Given the user has completed a report in FleetWise, when they select the 'Export to PowerPoint' option, then the system should generate a PowerPoint file that includes all visuals, charts, and key data points from the report.

A manager downloads a PowerPoint presentation from FleetWise to provide stakeholders with performance insights during a quarterly review meeting.

Given the user is in the report view, when they choose to export as PowerPoint, then the exported file should open correctly in PowerPoint with no formatting errors.

An operations team member wants to share a performance report with external partners and needs the customization options to brand the presentation with their company logo and colors.

Given that the user is customizing the report, when they apply their company branding elements before exporting to PowerPoint, then the exported presentation should reflect these customizations accurately.

A data analyst checks the exported PowerPoint presentation to ensure that all the necessary analytics are present before sending it to the executive team.

Given the user has exported a PowerPoint presentation, when they review the slides, then all key metrics, visuals, and notes from the original report should be accurately represented in a logical flow across the slides.

A training officer updates existing training materials by exporting recent FleetWise reports into a PowerPoint for training sessions.

Given a user has recent training reports in FleetWise, when they export to PowerPoint, then the presentation should contain a title slide and a summary slide that captures the essence of the reports.

A sales representative needs to export product performance analysis into PowerPoint for a client meeting.

Given the user has a product performance report ready, when they click on the 'Export to PowerPoint' button, then the resulting presentation should be completed within 10 seconds with all information intact.

An executive wishes to present last month's fleet performance metrics using PowerPoint exported from FleetWise.

Given the user has access to last month's performance metrics, when they export this data to PowerPoint, then the exported presentation must include comparisons to previous months along with insights that highlight improvements or areas needing attention.

Select Data Range for Export

User Story: As a user, I want to select specific data ranges in my reports for export so that I can customize the information I share and ensure it is relevant to my audience.
Description: This requirement introduces the ability for users to select specific data ranges when exporting reports to various formats. This granularity in exporting allows users to focus on relevant sections of their reports without overwhelming their audience with unnecessary information. It improves user efficiency by enabling quick access to essential insights, which is particularly useful when dealing with extensive datasets. Implementation should ensure users can easily select their desired ranges within the report interface, enhancing usability while providing a tailored export experience.
Acceptance Criteria: User selects a specific date range for their export report, focusing on transactions from the last month to analyze trends for a recent marketing campaign.

Given the user is on the report export interface, When the user selects a date range using the date picker, Then the selected date range should be visibly updated in the report preview section before export.

A user wants to export a report for a specific vehicle's maintenance history over the last three months to share with their manager.

Given the user is viewing the maintenance report, When the user selects the vehicle and the corresponding date range, Then the exported report should contain only the data relevant to the selected vehicle and date range.

A project manager is preparing a presentation for stakeholders and needs to export data on fuel consumption metrics over the past quarter.

Given the user has selected the 'Fuel Consumption' metrics, When the user specifies the date range for the last quarter, Then the exported PowerPoint file should display charts and relevant data only for that period and metric.

A fleet director is required to present the annual performance overview to the board and wishes to export data for the entire year.

Given that the user can select a full year when in the report export feature, When the user confirms the selection of the entire year for export, Then the final report should accurately reflect all relevant data from that year in the selected format.

A logistics coordinator wants to quickly generate a report on deliveries for a specific quarter, including delays and successful deliveries.

Given that the user is accessing quarterly delivery reports, When the user selects the specific quarter for export, Then the report must only include delivery data for that quarter, with correct calculations of delays versus successful deliveries.

An analyst needs to export a subset of the data showing only the top 10 most fuel-efficient vehicles over the last year for a detailed review.

Given the user is filtering the report to show only the top 10 vehicles by fuel efficiency, When the user selects the desired data range for the last year, Then the exported report must focus solely on those vehicles and include only necessary data points.

Export Settings Customization

User Story: As a user, I want to customize my export settings so that I can ensure the exported reports conform to my company's branding and data presentation standards.
Description: This requirement allows users to customize export settings, such as file naming conventions, resolution for images, or inclusion of specific data points in the exported document. It enhances the feature by providing users with control over how their data appears in each export, ensuring it meets their professional standards and requirements. This customization should be straightforward and user-friendly, integrated into the export dialog to streamline the process and improve user satisfaction with their report outputs.
Acceptance Criteria: User customizes export settings for a quarterly performance report before downloading it.

Given the user selects the export option, when they access the customization dialog, then they can specify the file name, choose the resolution for images, and select specific data points to include in the report.

User attempts to export a report without customizing any settings.

Given the user chooses to export the report without any changes, when they confirm the export, then the system generates the report with default settings applied and saves it in the specified format (PDF, Excel, PowerPoint).

User successfully saves customized export settings for future use.

Given the user has configured their export settings, when they click the 'Save Settings' button, then the system should allow the user to save these preferences for future exports and confirm the settings have been saved.

User exports a report including high-resolution images.

Given the user has selected high resolution for images in the export settings, when they export the report, then the generated report should contain high-resolution images as per the user's specifications.

User applies multiple customizations to the export settings and checks the preview before exporting.

Given the user has customized the export settings, when they click on the 'Preview' button, then a preview of the report should display with all specified customizations applied correctly for review.

User encounters an error while customizing export settings.

Given the user attempts to enter invalid data in the customization dialog (e.g., unsupported file name characters), when they try to save the settings, then an appropriate error message should be displayed, preventing the export until corrected.

User cancels the export process after customizing settings.

Given the user has opened the export customization dialog, when they choose to cancel the export, then the system should discard all changes and return the user to the report without exporting any data.

Press Articles

FleetWise Revolutionizes Fleet Management with Cutting-Edge SaaS Solution: FOR IMMEDIATE RELEASE

FleetWise Revolutionizes Fleet Management with Cutting-Edge SaaS Solution

DATE: December 14, 2024

[City, State] – FleetWise, a leader in innovative fleet management software, announces the launch of its comprehensive SaaS platform designed to transform how transportation companies manage their fleets. With real-time tracking, predictive maintenance analytics, and intelligent route optimization, FleetWise empowers businesses to achieve substantial reductions in operational costs while enhancing vehicle efficiency and sustainability.

FleetWise's robust features include real-time performance monitoring, fuel consumption analytics, and a suite of Eco-Friendly benchmarking tools that collectively enable transportation companies to reduce operational costs by up to 30%, enhance vehicle uptime by 25%, and cut fuel consumption by 20%.

"Transportation companies face unprecedented challenges in managing their fleets efficiently while also minimizing their environmental impact. FleetWise addresses these challenges head-on, providing a data-driven approach to enhance not just profitability but also sustainability,” said [Name], CEO of FleetWise.

Key functionalities of the FleetWise platform include:

Green Fleet Analyzer: Offers insights into vehicle performance with a focus on fuel efficiency and emissions.

Traffic-Conscious Routing: Uses real-time data to optimize driving routes, minimizing fuel consumption and delays.

AI-Powered Driver Behavior Insights: Analyzes driving patterns to provide feedback aimed at improving fuel efficiency.

Sustainability Reporting Toolkit: Streamlines documentation for sustainability achievements, aiding compliance and stakeholder communication.

FleetWise is designed not only for Fleet Operations Managers but also caters to Logistics Coordinators, Vehicle Maintenance Technicians, Fleet Analysts, Drivers, and Executive Leadership teams throughout various industries. By providing users with an intuitive dashboard and actionable insights, FleetWise enhances the overall workflow and boosts driver satisfaction.

“Every user in our ecosystem has access to insights that can lead to better decision-making,” added [Name], Chief Technology Officer at FleetWise. ”Our platform is more than just a fleet management tool; it's a strategic advantage for companies looking to thrive in today's competitive marketplace."

FleetWise combines cutting-edge technology with an emphasis on sustainability, making it a pioneering force in the fleet management space. The unique features of this platform not only streamline operational tasks but also foster a culture of safety and eco-consciousness within organizations.

For additional information about FleetWise and to schedule a demo, please visit [Website URL].

Media Contact: [Your Name]
[Your Position]
FleetWise
Email: [Your Email]
Phone: [Your Phone Number]

END

FleetWise Unveils New Features for Enhanced Sustainability and Performance: FOR IMMEDIATE RELEASE

FleetWise Unveils New Features for Enhanced Sustainability and Performance

DATE: December 14, 2024

[City, State] – FleetWise is excited to announce the rollout of several new features designed to improve sustainability and operational performance for fleet management. These new additions underscore FleetWise's commitment to innovation and eco-friendly practices within the transport sector.

The new features include the Sustainability Dashboard, which provides Fleet Operations Managers with comprehensive insights into emissions and fuel consumption, enabling them to monitor real-time data and identify areas for improvement. Alongside this, the Eco Route Optimization tool uses advanced algorithms to suggest the most fuel-efficient routes based on current traffic conditions.

“Advancing sustainability in fleet operations is not just a trend; it's a necessity. At FleetWise, we strive to provide our users with the tools they need to operate responsibly while boosting their bottom line,” said [Name], VP of Product Development at FleetWise.

Additional enhancements include:

Emissions Trend Tracker: Offers a visual representation of emissions data over time, helping users track performance against benchmarks.

Real-Time Environmental Alerts: Notifies Fleet Operations Managers of any spikes in emissions or fuel consumption, enabling quick corrective actions.

Green Fleet Loyalty Score: Ranks fleets according to their sustainability efforts, encouraging healthy competition among teams.

These new features not only enable fleet operators to refine their emission management practices but also support compliance with evolving regulations and stakeholder expectations. FleetWise's focus on predictive analytics empowers users to make data-driven decisions that align with corporate sustainability goals.

“The launch of these features is a significant milestone as we enhance our offerings to meet the demands of the future. We're excited to lead the way in providing solutions that benefit our users and the planet,” declared [Name], Chief Marketing Officer at FleetWise.

FleetWise invites all interested parties to learn more about its platform and new features by visiting [Website URL].

Media Contact: [Your Name]
[Your Position]
FleetWise
Email: [Your Email]
Phone: [Your Phone Number]

END

FleetWise Partners with Leading Automotive Manufacturers to Enhance Fleet Solutions: FOR IMMEDIATE RELEASE

FleetWise Partners with Leading Automotive Manufacturers to Enhance Fleet Solutions

DATE: December 14, 2024

[City, State] – FleetWise is proud to announce strategic partnerships with several leading automotive manufacturers to deliver enhanced fleet management solutions. This collaboration aims to integrate advanced telematics and automotive technologies into the FleetWise platform, streamlining operations and maximizing vehicle performance.

Through these partnerships, FleetWise users can expect improved features such as more accurate predictive maintenance alerts, enhanced real-time vehicle tracking capabilities, and deeper insights into vehicle health and driving behavior. These enhancements will help fleets run more efficiently and sustainably while reducing operating costs.

“Our new collaborations with top automotive manufacturers signify our commitment to innovation and operational excellence,” stated [Name], Chief Partnerships Officer at FleetWise. “By integrating advanced technologies directly into our platform, we offer our clients a comprehensive toolkit for managing their fleets effectively.”

The partnership will leverage state-of-the-art diagnostic capabilities and vehicle communication standards to ensure seamless data flow, providing fleet managers access to real-time insights and predictive analytics that enhance decision-making.

In addition, FleetWise aims to foster a culture of collaboration with these manufacturers, enabling fleet operators to embark on a sustainable journey that aligns with the industry's commitment to reducing emissions and promoting eco-friendly practices.

“FleetWise is dedicated to not only improving fleet efficiency but also to promoting sustainable business practices. Our partnerships with leading automotive manufacturers will help us achieve that goal and support our customers in transitioning to greener operations,” added [Name], COO of FleetWise.

For further insights into how FleetWise is enhancing fleet management through these strategic partnerships, visit [Website URL].

Media Contact: [Your Name]
[Your Position]
FleetWise
Email: [Your Email]
Phone: [Your Phone Number]

END

Create products with ease

Product Details

Personas

Sustainability Sarah

Data-Driven Dan

Safety-Focused Sam

Cost-Conscious Carla

Tech-Savvy Tom

Product Ideas

Product Features

Green Fleet Analyzer

Requirements

Fuel Efficiency Dashboard

Emission Reporting

Eco-Friendly Vehicle Recommendations

Smart Route Optimization

Driver Eco-Training Module

Traffic-Conscious Routing

Requirements

Real-Time Traffic Data Integration

Dynamic Route Adjustment

User Notifications for Route Changes

Historical Traffic Data Analysis

Eco-Friendly Route Suggestions

Multimodal Optimization

Requirements

Real-Time Mode Assessment

Carbon Emission Tracking

Cost-Benefit Analysis Tool

Integration with Mapping Services

User-Friendly Dashboard for Mode Comparison

Fuel Consumption Dashboard

Requirements

Real-Time Fuel Monitoring

Historical Fuel Trend Analysis

Vehicle Comparison Tool

Notification System for Fuel Anomalies

Integration with Maintenance Scheduling

User-Friendly Dashboard Interface

AI-Powered Driver Behavior Insights

Requirements

Real-time Driving Analytics Dashboard

Personalized Driver Feedback Notifications

Driving Behavior Gamification

Comprehensive Reporting Tools

Integration with Maintenance Tracking

Fuel Efficiency Benchmarking

Emission Forecasting

Requirements

Real-time Emission Calculations

Route Comparison Tool

Historical Emission Data Analysis

User Interface for Emission Insights

Alerts for High Emission Routes

Integration with Telematics Systems

Greener Driver Training Modules

Requirements

Interactive Eco-Driving Modules

Progress Tracking Dashboard

Certification System

Gamification of Training

Feedback and Improvement Loop

Real-Time Eco-Driving Performance Monitoring

Real-Time Performance Monitoring

Requirements

Instant Anomaly Alerts

Historical Data Analytics

Customizable Alerts Dashboard

Mobile Performance Monitoring

Integration with Maintenance Scheduling Software

Maintenance Scheduling Assistant

Requirements

Predictive Maintenance Alerts

Automated Maintenance Scheduling

Integrated Analytics Dashboard

Resource Allocation Optimization

Mobile Maintenance Management

Historical Trends Analysis

Requirements