참고 항목
GitHub Copilot usage metrics are currently in public preview with data protection and subject to change.
After your initial rollout, the Copilot usage metrics dashboard helps you monitor how usage evolves over time. By exploring adoption, feature, model, and language trends, you can see how developers are engaging with Copilot and identify areas where additional enablement or communication may drive deeper value.
Prerequisite
"Copilot usage metrics" must be enabled on the AI Control tab. See Managing policies and features for GitHub Copilot in your enterprise.
Accessing the dashboard
- Go to the Enterprises page and select your enterprise.
- Click the Insights tab.
- In the left sidebar, click Copilot usage.
Data in the dashboard is based only on IDE telemetry and may appear up to three full UTC days behind the current date. See GitHub Copilot usage metrics.
Using Copilot Chat to analyze exported data
For deeper analysis, you can export NDJSON reports from the dashboard and use Copilot Chat to explore the data in more detail. For example, you can ask:
* Which users have `user_initiated_interaction_count` > 0 but low `code_acceptance_activity_count`? * Are there specific organizations or teams with lower adoption rates?
* Which users have `user_initiated_interaction_count` > 0 but low `code_acceptance_activity_count`? * Are there specific organizations or teams with lower adoption rates?
* Which users have `user_initiated_interaction_count` > 0 but low `code_acceptance_activity_count`?
* Are there specific organizations or teams with lower adoption rates?
Next steps
- To learn how to interpret the data in each chart and act on usage trends, see Interpreting usage and adoption metrics for GitHub Copilot.
- To learn how to track license activation and initial usage of GitHub Copilot with usage metrics, see Tracking license activation and initial usage with Copilot usage metrics.