Performance Monitoring
Productivity and Stability Metrics
Overview: Gain insights into your organization and drill down into different groups, teams and developers' efficiency and code stability.
Issues/PR Cycle Time
PM/Git
✅
Time from “in progress” to delivery / Start of code to deploy
Remove bottlenecks
Coding Time
Git
✅
Active development time
Identify inefficiencies
Pickup do p Time
Git
✅
Time from PR creation to review start
Encourage quicker pickups
Review Time
Git
✅
First comment to merge
Set SLAs for review time
Review Depth
Git
✅
Number of comments
Promote thorough feedback
PR Size
Git
✅
Number of code changes in a PR
Promote smaller PRs
CR Impact
Git
✅
% code change post-review
Improve pre-PR quality
Lead Time
PM
✅
Request to delivery duration
Improve team handoffs
Completed Backlog Stories
PM
✅
# of completed backlog items
Adjust backlog focus
Code Changes
Git
✅
Rate of code changes work vs. new work
Adjust tech debt investment
Code Longevity
Git
✅
Avg. time code survives
Address rework trends
Productiveness Score
PM + Git
🔒
Weighted productivity score
Strategic resource changes
Deployment Frequency (DORA)
Git
🔒
Avg. deployments per time period
Benchmark delivery agility
Lead Time for Changes (DORA)
Git
🔒
First commit to when the code is successfully running in production
Optimize CI/CD pipeline stages
Change Failure Rate (DORA)
Git
🔒
Percentage of deployments causing failures out of total deployments
Invest in pre-release validation
MTTR/Failed Deployment Recovery Time (DORA)
PM + Git
🔒
Avg. failures recovery time
Reduce downtime and improve resiliency
Bug Density
PM + Git
🔒
Bugs per 1K LOC
Focus on error-prone areas
Issues out of SLA
PM
🔒
Issues unresolved in SLA
Adjust resourcing/priorities
Bugs per Repo
PM + Git
🔒
Bug distribution by repo
Focus on unstable areas
Bugs per priority
PM
🔒
Number of bugs grouped by priority over time
Reallocate effort to critical issues
PR/Issue Test Coverage
PM + Git
🔒
Percentage of PRs/issues covered by tests
Enforce quality practices
Coding Time vs. Estimated
PM + Git
🔒
Actual vs. planned effort
Refine estimation model
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