Pull Request Analytics FAQ
devActivity's Pull Request Analytics provides comprehensive insights into your development workflow. Below are answers to common questions about tracking, analyzing, and optimizing your pull request performance.
What is the total cycle time for a specific pull request?
devActivity's Pull Request Analytics displays the total 'CYCLE TIME' for each pull request, which is the duration from its creation to its merge or closure. This metric is broken down into 'CODING', 'PICKUP', and 'REVIEW' stages for granular analysis.
Which pull requests are spending the most time in the 'Pickup' or 'Review' stages?
You can easily identify pull requests with long durations in specific stages by sorting the 'PICKUP' and 'REVIEW' columns in the main table. This helps pinpoint bottlenecks in your workflow and allows you to investigate underlying issues.
How many comments or alerts are associated with a pull request?
The 'PULL REQUEST' column in the main table displays icons indicating the number of comments and alerts associated with each pull request, providing a quick overview of its activity and potential issues.
Who authored a particular pull request and when was it initiated?
The 'AUTHOR' column clearly shows the author's avatar, along with the exact date and time the pull request was initiated, allowing you to track contributions and timelines.
How does my team's pull request performance compare over different time periods?
Utilize the 'Period' dropdown filter to select different time ranges (e.g., '3 Month', '1 Month', '1 Week'). This enables historical analysis, showing how your team's pull request metrics evolve over time and helping you track trends and improvements.
Can I get a report of all pull requests for a specific repository or contributor?
Yes, you can use the 'Repository' and 'Contributor' dropdown filters to narrow down the list of pull requests. The displayed data can then be exported to a CSV file or copied to the clipboard for further analysis or reporting.
What are the 'CODING', 'PICKUP', and 'REVIEW' times?
These are sub-stages of the total 'CYCLE TIME'. 'CODING' is the time spent developing before the PR is opened. 'PICKUP' is the time from PR opening until a reviewer starts working on it. 'REVIEW' is the time spent during the actual code review process.
Are there any premium features for Pull Request Analytics?
Yes, premium users can access AI-driven insights with a single click. This feature provides automated analysis and recommendations based on your pull request data, helping you quickly identify issues and opportunities for improvement.
