Monitor Team Collaboration and Code Review Quality
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Effective collaboration and high-quality code reviews are essential to maintaining a strong engineering culture.
This guide provides a structured approach to monitor team interactions, evaluate review dynamics, and spot potential risks in knowledge distribution and code review standards.
1️⃣ Quantity
Analyze Reviewer-Submitter Relationships
➡️ Where: PR Insights → Collaboration Tab
What to look for:
- Use the submitters-reviewers graph to visualize how individuals interact through code reviews.
- Ideally, you'll see connections from every reviewer to every submitter (though this is rare).
- Check for isolated patterns, such as one submitter consistently reviewed by only one person—this may indicate a knowledge silo or a 'bus factor' risk.
The number of reviews may not match the number of PRs. One PR can have multiple reviewers or none.
Evaluate Review Coverage and Knowledge Sharing
➡️ Where: PR Insights → Collaboration Tab → Sharing Index & Number of Reviews Graphs
Challenges to consider:
- An increase in reviews might mean more PRs OR more reviews per PR.
- KSI typically increases with more reviews but can drop if PRs surge and reviews lag behind.
- In general, KSI and total number of PRs are inversely proportional, because when you open more PRs, it's hard to keep KSI up.
Sudden drops in KSI might reflect intense delivery periods where collaboration took a backseat.
2️⃣ Quality
Monitor Code Review Quality
➡️ Where: Merge Quality
Merge quality metrics offer a snapshot of how thorough and effective reviews are.
Suggestions:
- Watch for trends that suggest declining attention to review standards.
Key Takeaways
- Strong collaboration is reflected in broad, balanced reviewer-submitters graphs.
- Watch for uneven review patterns — they may signal risks to knowledge continuity.
- Interpret KSI in the context of overall activity; drops could indicate a focus on speed over collaboration.
- Merge quality can highlight where review standards might need reinforcing or refining.
Updated 2 days ago