| title | Viewing the Copilot usage metrics dashboard | |||
|---|---|---|---|---|
| shortTitle | View usage and adoption | |||
| intro | Monitor adoption trends and use of {% data variables.product.prodname_copilot_short %} to support long-term enablement. | |||
| permissions | {% data reusables.copilot.usage-metrics-permissions %} | |||
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| contentType | how-tos | |||
| allowTitleToDifferFromFilename | true | |||
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After your initial rollout, the {% data variables.product.prodname_copilot_short %} 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 {% data variables.product.prodname_copilot_short %} and identify areas where additional enablement or communication may drive deeper value.
{% data reusables.copilot.copilot-metrics-dashboard-prereq %}
{% data reusables.copilot.access-copilot-metrics-dashboard %}
- In the left sidebar, click {% data variables.product.prodname_copilot_short %} usage.
Data in the dashboard is primarily based on IDE telemetry and is supplemented by server-side telemetry to capture additional active users. Data may appear up to three full UTC days behind the current date. See AUTOTITLE.
For deeper analysis, you can export NDJSON reports from the dashboard and use {% data variables.copilot.copilot_chat_short %} 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 teams with lower adoption rates?