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Pull Request Analytics

Track pull request patterns and code review effectiveness

GitPulse tracks pull request patterns and metrics to help you understand your team's code review process and collaboration effectiveness.

Pull Request Overview

Pull request analytics provide insights into how your team reviews code, collaborates on changes, and maintains code quality through the review process.

PR Cycle Time

Average Merge Time

The average time between pull request creation and merge, measured in hours. This metric shows how efficiently your team processes pull requests.

Pull Request Cycle time
Pull Request Cycle Time

What it tells you

  • Review process efficiency
  • Team responsiveness
  • Development workflow speed

Cycle Time Range

The minimum and maximum cycle times show the variability in your review process: - Min: Fastest PR merge time - Max: Slowest PR merge time

What it tells you

  • Process consistency
  • Bottleneck identification
  • Review time variability

Total PRs Processed

The total number of pull requests that have been processed in the selected time period.

What it tells you

  • Overall code review volume
  • Team collaboration activity
  • Feature development pace

Pull Request Health

Total PRs

The total number of pull requests created in the selected time period.

Pull Request Health
Pull Request Health

What it tells you

  • Overall code review volume
  • Team collaboration activity
  • Feature development pace

Merged PRs

The number and percentage of pull requests successfully merged.

What it tells you

  • Successful code integration rate
  • Development velocity
  • Code review effectiveness

Self-Merged PRs

The number and percentage of pull requests merged by the same person who created them.

What it tells you

  • Code review compliance
  • Team collaboration quality
  • Potential bypass of review process

Average Merge Time

The average time it takes to merge pull requests, measured in hours.

What it tells you

  • Review process efficiency
  • Team responsiveness
  • Development workflow speed

PR Health Metrics

Open PRs

The number and percentage of pull requests currently open and awaiting review or merge.

What it tells you

  • Current review backlog
  • Team review capacity
  • Code review efficiency

PRs Without Review

The number and percentage of pull requests that were merged without receiving any reviews.

What it tells you

  • Code review compliance
  • Quality assurance gaps
  • Process bypass patterns

PRs Open > 7 Days

The number and percentage of pull requests that have been open for more than 7 days.

What it tells you

  • Review bottlenecks
  • Process inefficiencies
  • Potential stale PRs

PR Health Indicators

Good signs

  • High merge rate (>90%)
  • Low self-merge rate (<5%)
  • Reasonable average merge time (<24h)
  • Low percentage of PRs without review
  • Few PRs open for extended periods

Concerning patterns

  • High self-merge rate
  • Long average merge times
  • Many PRs without review
  • High number of stale PRs (>7 days)
  • Low overall merge rate

Using PR Data

For Development Teams

  1. Review Process: Monitor cycle times and review coverage
  2. Collaboration: Track self-merge vs. team review patterns
  3. Quality Assurance: Ensure PRs receive proper reviews
  4. Workflow Optimization: Identify bottlenecks in review process

For Management

  1. Process Efficiency: Assess review workflow effectiveness
  2. Team Collaboration: Monitor review participation
  3. Quality Control: Track review compliance
  4. Capacity Planning: Understand review workload and bottlenecks

Best Practices

Improving PR Process

  1. Review Requirements: Establish mandatory review policies
  2. Timely Reviews: Set expectations for review response times
  3. Quality Feedback: Encourage constructive review comments
  4. Process Monitoring: Track and address bottlenecks

Team Collaboration

  1. Review Rotation: Distribute review workload evenly
  2. Knowledge Sharing: Use reviews for learning and mentoring
  3. Clear Guidelines: Establish PR creation and review standards
  4. Regular Reviews: Assess and improve the PR process

Troubleshooting

Common Issues

High Self-Merge Rate

  • Cause: Developers bypassing review process
  • Solution: Establish mandatory review policies and training

Long Cycle Times

  • Cause: Slow review responses or insufficient reviewers
  • Solution: Set review time expectations and increase reviewer capacity

Many PRs Without Review

  • Cause: Insufficient review requirements or process bypass
  • Solution: Implement mandatory review policies and monitoring

Stale PRs (>7 days)

  • Cause: Review bottlenecks or abandoned PRs
  • Solution: Regular PR cleanup and review process optimization

Getting Help

  • Process Reviews: Regularly assess PR workflow effectiveness
  • Team Training: Provide review best practices and guidelines
  • Tool Configuration: Ensure PR tools support your process
  • Feedback Loops: Gather team input on process improvements