New Copilot usage metrics impact dashboard
Quick Answer
GitHub has launched a new Copilot metrics impact dashboard for enterprise admins, providing insights into user engagement across AI adoption phases.
Quick Take
It includes metrics like average pull requests merged and offers actionable steps to enhance Copilot usage among developers.
Key Points
- Dashboard categorizes users into AI adoption phases: Code-first, Agent-first, , and Passive.
- Metrics include average pull requests merged per user and median merge velocity.
- Comparative analysis shows throughput differences between passive and engaged users.
- Trends over six months highlight cohort growth and pull request throughput.
- Recommended next steps guide admins to deepen user engagement.
DeepSignal Analysis
What happened
GitHub has introduced a new metrics impact dashboard for Copilot aimed at enterprise administrators. This tool provides insights into user engagement across different AI adoption phases, including metrics such as average pull requests merged and median merge velocity. The dashboard also offers guidance for enhancing Copilot usage among developers.
Key evidence
- The dashboard categorizes users into adoption phases: Code-first, Agent-first, Multi-agent, and a Passive segment, displaying metrics like average pull requests merged per user per month.
- It includes a comparative analysis of throughput and speed between passive users and engaged Copilot users, helping identify areas for improvement.
- The dashboard visualizes cohort growth and pull request throughput over a six-month period, allowing administrators to track engagement trends.
Why it matters
This dashboard allows organizations to move beyond basic active user counts, providing a clearer picture of how developers are utilizing Copilot's features. By identifying licensed but inactive users, administrators can implement targeted strategies to increase engagement and adoption of Copilot's capabilities.
📖 Reader Mode
~3 min readWe’ve released a new Copilot metrics impact dashboard for enterprise administrators and organization owners. This dashboard helps you tell a deeper Copilot impact story by sharing not just who is active, but how they’re using Copilot. The dashboard builds on the AI adoption phase cohorts in the Copilot usage metrics API, turning the per-phase data into a visual view of adoption depth, impact, and the next steps that move developers into deeper-adoption cohorts.
What’s new
The dashboard groups your engaged users by AI adoption phase and surfaces the metrics that matter for each cohort:
- Adoption cohorts: Per-cohort cards for Phase 1 (Code-first), Phase 2 (Agent-first), and Phase 3 (Multi-agent or Copilot app), plus a Passive (licensed but not engaged) segment. Each card shows average pull requests merged per user per month, median pull request merge velocity, users in the phase, share of overall users per phase, and average lines of code per day per user.
- Adoption multiplier: A comparative bottom-line-up-front throughput and speed comparison between your passive cohort and the average of your engaged Copilot users.
- Trends: Charts that show cohort growth and pull request throughput over six months.
- Recommended next steps: Guidance an admin can act on to move more users into deeper-adoption cohorts.
Why this matters
- Tell the maturity story: Move beyond simple active-user counts and see which Copilot capabilities your developers are actually adopting.
- Target enablement: Spot licensed-but-not-engaged users and get clear, actionable next steps to deepen adoption.
Important notes
- The dashboard is available to enterprise administrators and organization owners who have access to Copilot usage metrics.
- Cohort assignments use the same
ai_adoption_phaseclassification as the Copilot usage metrics API, based on Copilot product usage over a rolling 28-day window.
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— Originally published at github.blog
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