GitHub Metric
Engineering
Team Collaboration Index quantifies the degree of cross-functional and cross-team interaction on GitHub, including cross-team code reviews, co-authored commits, discussion participation, and issue triage across repository boundaries. It measures whether knowledge and responsibility are shared or siloed.
GitHubEngineeringTeam Collaboration Index
Team Collaboration Index quantifies the degree of cross-functional and cross-team interaction on GitHub, including cross-team code reviews, co-authored commits, discussion participation, and issue triage across repository boundaries. It measures whether knowledge and responsibility are shared or siloed.
Why team collaboration index matters for GitHub users
Siloed teams build siloed systems. When collaboration is low, architecture fragments, knowledge concentrates, and integration points become sources of conflict and bugs. A healthy collaboration index indicates that teams are breaking down barriers and sharing ownership.
For GitHub organisations, this metric surfaces whether teams are reviewing each other's code, contributing to shared repositories, and participating in cross-cutting discussions. It provides evidence for organisational design decisions about team topology.
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Assign RACI ownership to engineering directors and review quarterly to assess whether organisational changes are improving or fragmenting collaboration.
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Related GitHub metrics
Developer Contribution Patterns
EngineeringMetric Definition
Developer Contribution Patterns analyses how commits, reviews, and issue activity are distributed across team members over time. It highlights knowledge concentration, identifies potential bus-factor risks, and reveals whether workload distribution is healthy. Balanced contributions indicate resilient teams.
Code Review Quality Score
EngineeringMetric Definition
Code Review Quality Score evaluates the substantiveness of pull request reviews by weighting factors such as comment depth, suggestions made, files reviewed versus files changed, and time spent. It distinguishes meaningful reviews from rubber-stamp approvals. Higher scores correlate with fewer post-merge defects.
Discussion Engagement Rate
EngineeringMetric Definition
Discussion Engagement Rate = Discussions with Responses / Total Discussions × 100
Discussion Engagement Rate measures the proportion of GitHub Discussions that receive replies, upvotes, or marked answers within a defined period. It reflects community health and the effectiveness of asynchronous knowledge-sharing. Low engagement may indicate poor discoverability or cultural barriers to participation.
Code Review Velocity
EngineeringMetric Definition
Code Review Velocity = Median(First Review Timestamp − PR Ready Timestamp)
Code Review Velocity measures the elapsed time from when a pull request is opened or marked ready for review to when the first substantive review is submitted. It is a key driver of lead time for changes. Long review waits are one of the most common causes of developer context-switching.
Explore team collaboration index across integrations
All GitHub metrics
Branch Lifecycle AnalysisBug Fix RateCode Churn RateCode Coverage TrendCode Quality Trend AnalysisCode Review Quality ScoreCode Review VelocityCommit FrequencyDeployment FrequencyDeveloper Contribution PatternsDeveloper Productivity ScoreDevOps Pipeline EfficiencyDiscussion Engagement RateFeature Development Cycle TimeIssue Resolution TimeLead Time for ChangesOpen Source Contribution AnalysisPull Request Approval RatePull Request Bottleneck AnalysisRelease VelocityRepository Health ScoreSecurity Alert Resolution TimeSecurity Vulnerability TrendsSprint Velocity TrackingTechnical Debt AccumulationEmpower your team to understand and act on GitHub data
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