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GitHub Copilot usage metrics now include more active users

aiengineer
feature

GitHub Copilot enterprise usage reports now incorporate server-side telemetry alongside client signals, increasing the count of active users displayed. This change addresses inconsistencies caused by client-side telemetry failures, providing a more complete picture of user engagement. While top-level counts are more accurate, detailed per-interaction breakdowns for these newly surfaced users are still limited but expected to improve in future releases.

  • Expanded active user reporting in Copilot usage metrics
  • Server-side telemetry currently lacks detailed interaction data
  • Improved data consistency and resilience for Copilot usage reports
Enhancements (2)
  • Expanded active user reporting in Copilot usage metrics

    Copilot usage metrics reports now integrate server-side telemetry to capture more active users, improving accuracy and consistency with billing data. Previously, client-side telemetry limitations could cause active users to be missed in reports.

  • Improved data consistency and resilience for Copilot usage reports

    The integration of server-side signals makes Copilot usage reports more resilient to client-side issues and better aligned with activity logs and billing. This reduces discrepancies and potential support escalations regarding missing users.

Notes (1)
  • Server-side telemetry currently lacks detailed interaction data

    While server-side telemetry increases the count of active users, it does not yet provide rich per-interaction details like specific IDEs or features used. These detailed breakdowns will remain empty for newly surfaced users until richer telemetry is available.

Read the original announcement →

https://github.blog/changelog/2026-06-15-copilot-usage-metrics-now-include-more-of-your-active-users