Code review response time for engineering teams
Code review responsiveness is the median time from PR creation to the first meaningful human review (approve, request changes, or comment). Engineering managers track it to catch review bottlenecks before lead time spikes. DeliveryCompass computes review responsiveness from GitHub review events — engineering intelligence for GitHub PR delivery, not source-code analysis.
Why does review lag matter?
PRs waiting for a first review often sit idle longer than PRs in active revision. Review responsiveness is an early warning signal for PR flow problems.
How are bots handled?
DeliveryCompass excludes bot-only reviews by default. Toggle Include bots on the dashboard when you need bot activity in the mix. See Include bots toggle.
How do I coach with review data?
Compare review response on Team analytics and pair with contributor tables for 1:1 conversations. Definition: review responsiveness. Use attention signals for coaching, not stack ranking.
FAQ
What is a good code review response time for a team?
Compare median hours across teams and periods — context matters more than a fixed SLA.
Do comments count as a review?
Yes — meaningful human comments count toward first review time, not bot-only activity.
How do I find review bottlenecks on GitHub?
Rising review responsiveness with flat throughput usually means reviewer overload. See PR flow guide.
Pilot scope
Review data comes from daily GitHub sync. See pilot scope.