Product Requirements Document (PRD)

[Guidevit]

1. Introduction
   This Product Requirements Document is aimed at creating an automated metrics collection and analysis system for software development teams. This system will track, measure, and analyze key performance metrics to facilitate data-driven decision making, promote productivity, and align the team's efforts with the organization's strategic goals.

2. Purpose
   The purpose of the metrics automation system is to collect data from various stages of the software development lifecycle and convert it into actionable insights that can be used to assess performance, identify areas of improvement, and guide strategic decisions.

3. Users
   The users of this system will primarily be software development team members, including Product Managers, UX/UI Designers, Developers, QA Analysts, Data team members, and DevOps engineers. Secondary users include team leaders, project managers, and other decision-makers within the organization.

4. Features and Functionality
   4.1 Data Collection Automation
   The system should automatically collect data related to the identified key metrics. This includes, but is not limited to, cycle time, lead time, code quality metrics, deployment frequency, change failure rate, time to restore service, and team collaboration metrics.

4.2 Integration with Existing Tools
The system should integrate with the tools already in use by the team, such as project management tools, version control systems, continuous integration/continuous deployment tools, bug tracking systems, and any others as necessary.

4.3 Real-Time Dashboard
The system should include a real-time dashboard that visualizes the data in an easily digestible way. The dashboard should be customizable so that users can view the metrics most relevant to them.

4.4 Alerts and Notifications
The system should include a feature that allows users to set up alerts or notifications when certain thresholds are met or exceeded. For instance, if the defect density crosses a certain limit, an alert should be triggered.

4.5 Historical Data Analysis
The system should allow users to view and analyze historical data. This can help identify trends over time and gauge the effectiveness of improvement efforts.

4.6 Reporting and Exporting Features
The system should include robust reporting and exporting features to facilitate communication and presentation of the metrics to stakeholders.

5. Non-Functional Requirements
   5.1 Usability
   The system should be user-friendly, with an intuitive interface that users of varying technical abilities can navigate.

5.2 Reliability
The system should be reliable and able to handle large volumes of data without performance degradation.

5.3 Security
The system should adhere to the highest standards of data security, ensuring that sensitive information is protected.

5.4 Scalability
The system should be scalable and able to accommodate growth in the user base and data volume.

6. Constraints and Assumptions
   This product will need to integrate with a variety of different software tools and platforms. The development team must therefore have a broad skill set and a solid understanding of APIs and integration methods.

7. Timeline
   The development of the metrics automation system should be completed within the next six months. However, this is an estimate and may need to be adjusted based on the complexities discovered during the development process.