Meet the new GitHub Copilot
The Sumo Logic app for GitHub Copilot gives you clear visibility into Copilot adoption, engagement, and productivity across your organization, teams, and individual users. It consolidates key metrics such as active users, code generation and acceptance, lines of code, pull request activity, and agentic feature usage.
Dashboards break usage down by feature, IDE, language, and model, and compare teams to highlight inactive users and low adoption. Together, these help you optimize license utilization, target enablement efforts, and measure Copilot’s impact on developer productivity.
Log types
This app uses Sumo Logic’s GitHub Copilot source to collect data from the GitHub Copilot platform. The source collects:
- Organization Metrics. Aggregated usage and engagement metrics for the whole organization, including active users, code acceptance, and pull request activity.
- User Metrics. Per-user usage and engagement metrics, including code acceptance, lines of code, and feature usage.
- User Team Report. A mapping of users to team membership, used for the team-level dashboard breakdowns.
Sample log messages
User Metrics
{
"_type": "user",
"ai_adoption_phase": {
"phase": "Phase 1",
"phase_number": 1,
"version": "v1"
},
"ai_credits_used": 0,
"code_acceptance_activity_count": 0,
"code_generation_activity_count": 0,
"day": "2026-10-23",
"distinct_custom_agent_use_count": 0,
"distinct_mcp_use_count": 0,
"distinct_plugin_use_count": 0,
"distinct_skill_use_count": 0,
"distinct_slash_cmd_use_count": 0,
"enterprise_id": "1000",
"loc_added_sum": 0,
"loc_deleted_sum": 0,
"loc_suggested_to_add_sum": 0,
"loc_suggested_to_delete_sum": 0,
"organization_id": "2000000",
"totals_by_client": [],
"totals_by_custom_agent": [],
"totals_by_feature": [],
"totals_by_ide": [
{
"code_acceptance_activity_count": 0,
"code_generation_activity_count": 0,
"ide": "intellij",
"last_known_ide_version": {
"ide_version": "262.10968.63",
"sampled_at": "2026-10-23T11:11:25.944Z"
},
"last_known_plugin_version": {
"plugin": "copilot-intellij",
"plugin_version": "1.15.0-261-macos-arm64",
"sampled_at": "2026-10-23T11:11:25.944Z"
},
"loc_added_sum": 0,
"loc_deleted_sum": 0,
"loc_suggested_to_add_sum": 0,
"loc_suggested_to_delete_sum": 0,
"user_initiated_interaction_count": 0
}
],
"totals_by_language_feature": [],
"totals_by_language_model": [],
"totals_by_mcp": [],
"totals_by_model_feature": [],
"totals_by_plugin": [],
"totals_by_skill": [],
"totals_by_slash_cmd": [],
"used_agent": false,
"used_chat": false,
"user_id": 4000000,
"user_initiated_interaction_count": 0,
"user_login": "octocat"
}
Org Metrics
{
"_type": "org",
"code_acceptance_activity_count": 9,
"code_generation_activity_count": 62,
"daily_active_cli_users": 0,
"daily_active_copilot_app_users": 1,
"daily_active_copilot_cloud_agent_users": 2,
"daily_active_copilot_code_review_users": 1,
"daily_active_users": 59,
"daily_passive_copilot_code_review_users": 1,
"day": "2026-10-23",
"distinct_custom_agent_use_count": 0,
"distinct_mcp_use_count": 0,
"distinct_plugin_use_count": 0,
"distinct_skill_use_count": 1,
"distinct_slash_cmd_use_count": 0,
"enterprise_id": "1000",
"loc_added_sum": 29,
"loc_deleted_sum": 0,
"loc_suggested_to_add_sum": 135,
"loc_suggested_to_delete_sum": 0,
"monthly_active_agent_users": 20,
"monthly_active_chat_users": 24,
"monthly_active_cli_users": 0,
"monthly_active_copilot_app_users": 1,
"monthly_active_copilot_cloud_agent_users": 17,
"monthly_active_copilot_code_review_users": 5,
"monthly_active_users": 124,
"monthly_active_vscode_agent_users": 2,
"monthly_passive_copilot_code_review_users": 11,
"organization_id": "2000000",
"pull_requests": {
"copilot_suggestions_by_comment_type": [
{
"comment_type": "documentation",
"total_copilot_applied_suggestions": 5,
"total_copilot_suggestions": 5
},
{
"comment_type": "bug",
"total_copilot_applied_suggestions": 0,
"total_copilot_suggestions": 2
}
],
"total_applied_suggestions": 5,
"total_copilot_applied_suggestions": 5,
"total_copilot_suggestions": 7,
"total_created": 3,
"total_created_by_copilot": 0,
"total_merged": 0,
"total_merged_created_by_copilot": 0,
"total_merged_reviewed_by_copilot": 0,
"total_reviewed": 4,
"total_reviewed_by_copilot": 4,
"total_suggestions": 7
},
"totals_by_ai_adoption_phase": [
{
"avg_code_acceptance_activities": 0,
"avg_code_generation_activities": 0,
"avg_loc_added": 0,
"avg_loc_deleted": 0,
"avg_pull_requests_created": 0,
"avg_pull_requests_median_minutes_to_merge": 0,
"avg_pull_requests_merged": 0,
"avg_pull_requests_minutes_to_review": 0,
"avg_pull_requests_review_cycles": 0,
"avg_pull_requests_reviewed": 0,
"avg_user_initiated_interactions": 0,
"phase": "No Cohort",
"phase_number": 0,
"total_engaged_users": 27,
"total_pull_requests_merged": 0,
"users_in_phase_28d": 73
},
{
"avg_code_acceptance_activities": 0.36,
"avg_code_generation_activities": 2.36,
"avg_loc_added": 1.18,
"avg_loc_deleted": 0,
"avg_pull_requests_created": 0,
"avg_pull_requests_median_minutes_to_merge": 0,
"avg_pull_requests_merged": 0,
"avg_pull_requests_minutes_to_review": 0,
"avg_pull_requests_review_cycles": 0,
"avg_pull_requests_reviewed": 0,
"avg_user_initiated_interactions": 0.18,
"phase": "Phase 1",
"phase_number": 1,
"total_engaged_users": 22,
"total_pull_requests_merged": 0,
"users_in_phase_28d": 39
},
{
"avg_code_acceptance_activities": 0,
"avg_code_generation_activities": 0,
"avg_loc_added": 0,
"avg_loc_deleted": 0,
"avg_pull_requests_created": 0,
"avg_pull_requests_median_minutes_to_merge": 0,
"avg_pull_requests_merged": 0,
"avg_pull_requests_minutes_to_review": 0,
"avg_pull_requests_review_cycles": 0,
"avg_pull_requests_reviewed": 0,
"avg_user_initiated_interactions": 0,
"phase": "Phase 2",
"phase_number": 2,
"total_engaged_users": 0,
"total_pull_requests_merged": 0,
"users_in_phase_28d": 1
},
{
"avg_code_acceptance_activities": 0.1,
"avg_code_generation_activities": 1,
"avg_loc_added": 0.3,
"avg_loc_deleted": 0,
"avg_pull_requests_created": 0.3,
"avg_pull_requests_median_minutes_to_merge": 0,
"avg_pull_requests_merged": 0,
"avg_pull_requests_minutes_to_review": 0,
"avg_pull_requests_review_cycles": 0,
"avg_pull_requests_reviewed": 0,
"avg_user_initiated_interactions": 0.4,
"phase": "Phase 3",
"phase_number": 3,
"total_engaged_users": 10,
"total_pull_requests_merged": 0,
"users_in_phase_28d": 16
}
],
"totals_by_client": [
{
"client": "cloud_agent",
"request_count": 12,
"session_count": 1,
"token_usage": {
"avg_tokens_per_request": 24940.67,
"output_tokens_sum": 2173,
"prompt_tokens_sum": 297115
},
"totals_by_model": [
{
"model": "gpt-6-luna",
"model_selection_mode": "product_selected",
"request_count": 11,
"token_usage": {
"avg_tokens_per_request": 27130,
"output_tokens_sum": 2139,
"prompt_tokens_sum": 296291
}
},
{
"model": "unknown",
"model_selection_mode": "product_selected",
"request_count": 1,
"token_usage": {
"avg_tokens_per_request": 858,
"output_tokens_sum": 34,
"prompt_tokens_sum": 824
}
}
]
},
{
"client": "code_review",
"request_count": 1164,
"session_count": 225,
"token_usage": {
"avg_tokens_per_request": 50543.06,
"output_tokens_sum": 639872,
"prompt_tokens_sum": 58192250
},
"totals_by_model": [
{
"model": "unknown",
"model_selection_mode": "product_selected",
"request_count": 1164,
"token_usage": {
"avg_tokens_per_request": 50543.06,
"output_tokens_sum": 639872,
"prompt_tokens_sum": 58192250
}
}
]
},
{
"client": "github_app",
"request_count": 14,
"session_count": 2,
"token_usage": {
"avg_tokens_per_request": 73749.07,
"output_tokens_sum": 3654,
"prompt_tokens_sum": 1028833
},
"totals_by_model": [
{
"model": "claude-haiku-5.5",
"model_selection_mode": "user_selected",
"request_count": 1,
"token_usage": {
"avg_tokens_per_request": 1335,
"output_tokens_sum": 5,
"prompt_tokens_sum": 1330
}
},
{
"model": "claude-sonnet-5.5",
"model_selection_mode": "user_selected",
"request_count": 13,
"token_usage": {
"avg_tokens_per_request": 79319.38,
"output_tokens_sum": 3649,
"prompt_tokens_sum": 1027503
}
}
]
},
{
"client": "github_web",
"request_count": 46,
"session_count": 0,
"token_usage": {
"avg_tokens_per_request": 26621.91,
"output_tokens_sum": 24682,
"prompt_tokens_sum": 1199926
},
"totals_by_model": [
{
"model": "claude-opus-5",
"model_selection_mode": "user_selected",
"request_count": 4,
"token_usage": {
"avg_tokens_per_request": 39942,
"output_tokens_sum": 6353,
"prompt_tokens_sum": 153415
}
},
{
"model": "claude-opus-5.5",
"model_selection_mode": "user_selected",
"request_count": 5,
"token_usage": {
"avg_tokens_per_request": 29792.2,
"output_tokens_sum": 4362,
"prompt_tokens_sum": 144599
}
},
{
"model": "gpt-5.3-codex",
"model_selection_mode": "unknown",
"request_count": 10,
"token_usage": {
"avg_tokens_per_request": 27692.3,
"output_tokens_sum": 7961,
"prompt_tokens_sum": 268962
}
},
{
"model": "gpt-6.1-sol",
"model_selection_mode": "other",
"request_count": 20,
"token_usage": {
"avg_tokens_per_request": 31555.85,
"output_tokens_sum": 5963,
"prompt_tokens_sum": 625154
}
},
{
"model": "unknown",
"model_selection_mode": "user_selected",
"request_count": 7,
"token_usage": {
"avg_tokens_per_request": 1119.86,
"output_tokens_sum": 43,
"prompt_tokens_sum": 7796
}
}
]
},
{
"client": "jetbrains",
"request_count": 1,
"session_count": 1,
"token_usage": {
"avg_tokens_per_request": 76321,
"output_tokens_sum": 135,
"prompt_tokens_sum": 76186
},
"totals_by_model": [
{
"model": "claude-opus-5.5",
"model_selection_mode": "user_selected",
"request_count": 1,
"token_usage": {
"avg_tokens_per_request": 76321,
"output_tokens_sum": 135,
"prompt_tokens_sum": 76186
}
}
]
},
{
"client": "other",
"request_count": 1,
"session_count": 0,
"token_usage": {
"avg_tokens_per_request": 1398,
"output_tokens_sum": 184,
"prompt_tokens_sum": 1214
},
"totals_by_model": [
{
"model": "gpt-4.1",
"model_selection_mode": "user_selected",
"request_count": 1,
"token_usage": {
"avg_tokens_per_request": 1398,
"output_tokens_sum": 184,
"prompt_tokens_sum": 1214
}
}
]
},
{
"client": "vscode",
"request_count": 41,
"session_count": 3,
"token_usage": {
"avg_tokens_per_request": 118179.46,
"output_tokens_sum": 14105,
"prompt_tokens_sum": 4831253
},
"totals_by_model": [
{
"model": "gpt-6-astra",
"model_selection_mode": "user_selected",
"request_count": 20,
"token_usage": {
"avg_tokens_per_request": 238481,
"output_tokens_sum": 12832,
"prompt_tokens_sum": 4756788
}
},
{
"model": "gpt-6-luna",
"model_selection_mode": "other",
"request_count": 3,
"token_usage": {
"avg_tokens_per_request": 16957.67,
"output_tokens_sum": 1015,
"prompt_tokens_sum": 49858
}
},
{
"model": "unknown",
"model_selection_mode": "user_selected",
"request_count": 18,
"token_usage": {
"avg_tokens_per_request": 1381.39,
"output_tokens_sum": 258,
"prompt_tokens_sum": 24607
}
}
]
}
],
"totals_by_copilot_app": {
"prompt_count": 4,
"request_count": 14,
"session_count": 2,
"token_usage": {
"avg_tokens_per_request": 73749.07,
"output_tokens_sum": 3654,
"prompt_tokens_sum": 1028833
}
},
"totals_by_custom_agent": [],
"totals_by_feature": [
{
"code_acceptance_activity_count": 9,
"code_generation_activity_count": 62,
"feature": "code_completion",
"loc_added_sum": 29,
"loc_deleted_sum": 0,
"loc_suggested_to_add_sum": 135,
"loc_suggested_to_delete_sum": 0,
"user_initiated_interaction_count": 0
},
{
"code_acceptance_activity_count": 0,
"code_generation_activity_count": 0,
"feature": "chat_panel_agent_mode",
"loc_added_sum": 0,
"loc_deleted_sum": 0,
"loc_suggested_to_add_sum": 0,
"loc_suggested_to_delete_sum": 0,
"user_initiated_interaction_count": 4
},
{
"code_acceptance_activity_count": 0,
"code_generation_activity_count": 0,
"feature": "copilot_app",
"loc_added_sum": 0,
"loc_deleted_sum": 0,
"loc_suggested_to_add_sum": 0,
"loc_suggested_to_delete_sum": 0,
"user_initiated_interaction_count": 4
}
],
"totals_by_ide": [
{
"code_acceptance_activity_count": 8,
"code_generation_activity_count": 61,
"ide": "intellij",
"loc_added_sum": 28,
"loc_deleted_sum": 0,
"loc_suggested_to_add_sum": 134,
"loc_suggested_to_delete_sum": 0,
"user_initiated_interaction_count": 0
},
{
"code_acceptance_activity_count": 0,
"code_generation_activity_count": 0,
"ide": "vscode",
"loc_added_sum": 0,
"loc_deleted_sum": 0,
"loc_suggested_to_add_sum": 0,
"loc_suggested_to_delete_sum": 0,
"user_initiated_interaction_count": 4
},
{
"code_acceptance_activity_count": 1,
"code_generation_activity_count": 1,
"ide": "pycharm",
"loc_added_sum": 1,
"loc_deleted_sum": 0,
"loc_suggested_to_add_sum": 1,
"loc_suggested_to_delete_sum": 0,
"user_initiated_interaction_count": 0
}
],
"totals_by_language_feature": [
{
"code_acceptance_activity_count": 8,
"code_generation_activity_count": 53,
"feature": "code_completion",
"language": "scala",
"loc_added_sum": 28,
"loc_deleted_sum": 0,
"loc_suggested_to_add_sum": 126,
"loc_suggested_to_delete_sum": 0
},
{
"code_acceptance_activity_count": 0,
"code_generation_activity_count": 5,
"feature": "code_completion",
"language": "unknown",
"loc_added_sum": 0,
"loc_deleted_sum": 0,
"loc_suggested_to_add_sum": 5,
"loc_suggested_to_delete_sum": 0
},
{
"code_acceptance_activity_count": 1,
"code_generation_activity_count": 1,
"feature": "code_completion",
"language": "javascript",
"loc_added_sum": 1,
"loc_deleted_sum": 0,
"loc_suggested_to_add_sum": 1,
"loc_suggested_to_delete_sum": 0
},
{
"code_acceptance_activity_count": 0,
"code_generation_activity_count": 2,
"feature": "code_completion",
"language": "terraform",
"loc_added_sum": 0,
"loc_deleted_sum": 0,
"loc_suggested_to_add_sum": 2,
"loc_suggested_to_delete_sum": 0
},
{
"code_acceptance_activity_count": 0,
"code_generation_activity_count": 1,
"feature": "code_completion",
"language": "groovy",
"loc_added_sum": 0,
"loc_deleted_sum": 0,
"loc_suggested_to_add_sum": 1,
"loc_suggested_to_delete_sum": 0
},
{
"code_acceptance_activity_count": 0,
"code_generation_activity_count": 0,
"feature": "chat_panel_agent_mode",
"language": "ruby",
"loc_added_sum": 0,
"loc_deleted_sum": 0,
"loc_suggested_to_add_sum": 0,
"loc_suggested_to_delete_sum": 0
},
{
"code_acceptance_activity_count": 0,
"code_generation_activity_count": 0,
"feature": "chat_panel_agent_mode",
"language": "unknown",
"loc_added_sum": 0,
"loc_deleted_sum": 0,
"loc_suggested_to_add_sum": 0,
"loc_suggested_to_delete_sum": 0
},
{
"code_acceptance_activity_count": 0,
"code_generation_activity_count": 0,
"feature": "copilot_app",
"language": "unknown",
"loc_added_sum": 0,
"loc_deleted_sum": 0,
"loc_suggested_to_add_sum": 0,
"loc_suggested_to_delete_sum": 0
}
],
"totals_by_language_model": [
{
"code_acceptance_activity_count": 0,
"code_generation_activity_count": 0,
"language": "ruby",
"loc_added_sum": 0,
"loc_deleted_sum": 0,
"loc_suggested_to_add_sum": 0,
"loc_suggested_to_delete_sum": 0,
"model": "gpt-6-astra"
},
{
"code_acceptance_activity_count": 0,
"code_generation_activity_count": 0,
"language": "unknown",
"loc_added_sum": 0,
"loc_deleted_sum": 0,
"loc_suggested_to_add_sum": 0,
"loc_suggested_to_delete_sum": 0,
"model": "claude-haiku-5.5"
},
{
"code_acceptance_activity_count": 0,
"code_generation_activity_count": 0,
"language": "unknown",
"loc_added_sum": 0,
"loc_deleted_sum": 0,
"loc_suggested_to_add_sum": 0,
"loc_suggested_to_delete_sum": 0,
"model": "claude-sonnet-5.5"
},
{
"code_acceptance_activity_count": 0,
"code_generation_activity_count": 0,
"language": "unknown",
"loc_added_sum": 0,
"loc_deleted_sum": 0,
"loc_suggested_to_add_sum": 0,
"loc_suggested_to_delete_sum": 0,
"model": "gpt-6-astra"
}
],
"totals_by_mcp": [],
"totals_by_model_feature": [
{
"code_acceptance_activity_count": 0,
"code_generation_activity_count": 0,
"feature": "chat_panel_agent_mode",
"loc_added_sum": 0,
"loc_deleted_sum": 0,
"loc_suggested_to_add_sum": 0,
"loc_suggested_to_delete_sum": 0,
"model": "gpt-6-astra",
"user_initiated_interaction_count": 4
},
{
"code_acceptance_activity_count": 0,
"code_generation_activity_count": 0,
"feature": "copilot_app",
"loc_added_sum": 0,
"loc_deleted_sum": 0,
"loc_suggested_to_add_sum": 0,
"loc_suggested_to_delete_sum": 0,
"model": "claude-sonnet-5.5",
"user_initiated_interaction_count": 3
},
{
"code_acceptance_activity_count": 0,
"code_generation_activity_count": 0,
"feature": "copilot_app",
"loc_added_sum": 0,
"loc_deleted_sum": 0,
"loc_suggested_to_add_sum": 0,
"loc_suggested_to_delete_sum": 0,
"model": "claude-haiku-5.5",
"user_initiated_interaction_count": 1
}
],
"totals_by_plugin": [],
"totals_by_skill": [
{
"interaction_count": 13,
"skill": "other"
}
],
"totals_by_slash_cmd": [],
"user_initiated_interaction_count": 8,
"weekly_active_cli_users": 0,
"weekly_active_copilot_app_users": 1,
"weekly_active_copilot_cloud_agent_users": 9,
"weekly_active_copilot_code_review_users": 1,
"weekly_active_users": 101,
"weekly_active_vscode_agent_users": 0,
"weekly_passive_copilot_code_review_users": 8
}
User Team Report
{
"_type": "userTeam",
"day": "2026-10-27",
"organization_id": "2000000",
"slug": "example-team",
"team_id": 3000000,
"user_id": 5000000,
"user_login": "octocat"
}
Sample queries
={{Logsdatasource}} "org" code_generation_activity_count
| json "_type", "day", "organization_id", "code_generation_activity_count" as _type, day, organization_id, gen nodrop
| where _type = "org"
// Global filter
| where if("{{organization_id}}" = "*", true, organization_id matches "{{organization_id}}")
| first(gen) as gen group by day, organization_id
| sum(gen) as total_generations
| fields total_generations
={{Logsdatasource}} "user" ai_adoption_phase phase
| json "_type", "day", "user_id", "user_login", "organization_id", "ai_adoption_phase.phase" as _type, day, user_id, user_login, organization_id, phase nodrop
| where _type = "user"
// Global filter
| where if("{{organization_id}}" = "*", true, organization_id matches "{{organization_id}}")
| where if("{{user_login}}" = "*", true, user_login matches "{{user_login}}")
| first(phase) as phase group by user_id
| where !isBlank(phase)
| count by phase
| sort by _count, phase asc
Collection configuration and app installation
Depending on the set up collection method, you can configure and install the app in three ways:
- Create a new collector and install the app. Create a new Sumo Logic Cloud-to-Cloud (C2C) source under a new Sumo Logic Collector and later install the app, or
- Use an existing collector and install the app. Create a new Sumo Logic Cloud-to-Cloud (C2C) source under an existing Sumo Logic Collector and later install the app, or
- Use existing source and install the app. Use your existing configured Sumo Logic Cloud-to-Cloud (C2C) source and install the app.
Use the Cloud-to-Cloud Integration for GitHub Copilot to create the source and use the same source category while installing the app. By following these steps, you can ensure that your GitHub Copilot app is properly integrated and configured to collect and analyze your GitHub Copilot data.
Create a new collector and install the app
To set up collection and install the app, do the following:
Next-Gen App: To install or update the app, you must be an account administrator or a user with Manage Apps, Manage Monitors, Manage Fields, Manage Metric Rules, and Manage Collectors capabilities depending upon the different content types part of the app.
- Select App Catalog.
- In the 🔎 Search Apps field, run a search for your desired app, then select it.
- Click Install App.
note
Sometimes this button says Add Integration.
- In the Set Up Collection section of your respective app, select Create a new Collector.
- Collector Name. Enter a Name to display the Source in the Sumo Logic web application. The description is optional.
- Timezone. Set the default time zone when it is not extracted from the log timestamp. Time zone settings on Sources override a Collector time zone setting.
- (Optional) Metadata. Click the +Add Metadata link to add a custom log Metadata Fields. Define the fields you want to associate, each metadata field needs a name (key) and value.
A green circle with a checkmark is shown when the field exists and is enabled in the Fields table schema.
An orange triangle with an exclamation point is shown when the field doesn't exist, or is disabled in the Fields table schema. In this case, you'll see an option to automatically add or enable the nonexistent fields to the Fields table schema. If a field is sent to Sumo Logic but isn’t present or enabled in the schema, it’s ignored and marked as Dropped.
- Click Next.
- Configure the source as specified in the
Infobox above, ensuring all required fields are included. - In the Configure section of your respective app, complete the following fields.
- Field Name. If you already have collectors and sources set up, select the configured metadata field name (eg _sourcecategory) or specify other custom metadata (eg: _collector) along with its metadata Field Value.
- Click Next. You will be redirected to the Preview & Done section.
Post-installation
Once your app is installed, it will appear in your Installed Apps folder, and dashboard panels will start to fill automatically.
Each panel slowly fills with data matching the time range query received since the panel was created. Results will not immediately be available but will be updated with full graphs and charts over time.
Use an existing collector and install the app
To set up the source in the existing collector and install the app, do the following:
Next-Gen App: To install or update the app, you must be an account administrator or a user with Manage Apps, Manage Monitors, Manage Fields, Manage Metric Rules, and Manage Collectors capabilities depending upon the different content types part of the app.
- Select App Catalog.
- In the 🔎 Search Apps field, run a search for your desired app, then select it.
- Click Install App.
note
Sometimes this button says Add Integration.
- In the Set Up Collection section of your respective app, select Use an existing Collector.
- From the Select Collector dropdown, select the collector that you want to set up your source with and click Next.
- Configure the source as specified in the
Infobox above, ensuring all required fields are included. - In the Configure section of your respective app, complete the following fields.
- Field Name. If you already have collectors and sources set up, select the configured metadata field name (eg _sourcecategory) or specify other custom metadata (eg: _collector) along with its metadata Field Value.
- Click Next. You will be redirected to the Preview & Done section.
Post-installation
Once your app is installed, it will appear in your Installed Apps folder, and dashboard panels will start to fill automatically.
Each panel slowly fills with data matching the time range query received since the panel was created. Results will not immediately be available but will be updated with full graphs and charts over time.
Use an existing source and install the app
To skip collection and only install the app, do the following:
Next-Gen App: To install or update the app, you must be an account administrator or a user with Manage Apps, Manage Monitors, Manage Fields, Manage Metric Rules, and Manage Collectors capabilities depending upon the different content types part of the app.
- Select App Catalog.
- In the 🔎 Search Apps field, run a search for your desired app, then select it.
- Click Install App.
note
Sometimes this button says Add Integration.
- In the Set Up Collection section of your respective app, select Skip this step and use existing source and click Next.
- In the Configure section of your respective app, complete the following fields.
- Field Name. If you already have collectors and sources set up, select the configured metadata field name (eg _sourcecategory) or specify other custom metadata (eg: _collector) along with its metadata Field Value.
- Click Next. You will be redirected to the Preview & Done section.
Post-installation
Once your app is installed, it will appear in your Installed Apps folder, and dashboard panels will start to fill automatically.
Each panel slowly fills with data matching the time range query received since the panel was created. Results will not immediately be available but will be updated with full graphs and charts over time.
Viewing the GitHub Copilot dashboards
All dashboards have a set of filters that you can apply to the entire dashboard. Use these filters to drill down and examine the data to a granular level.
- You can change the time range for a dashboard or panel by selecting a predefined interval from a drop-down list, choosing a recently used time range, or specifying custom dates and times. Learn more.
- You can use template variables to drill down and examine the data on a granular level. For more information, see Filtering Dashboards with Template Variables.
- Most Next-Gen apps allow you to provide the scope at the installation time and are comprised of a key (
_sourceCategoryby default) and a default value for this key. Based on your input, the app dashboards will be parameterized with a dashboard variable, allowing you to change the dataset queried by all panels. This eliminates the need to create multiple copies of the same dashboard with different queries.
Org Adoption and Code Activity
The GitHub Copilot - Org Adoption and Code Activity dashboard gives an organization-level view of Copilot adoption and coding activity. It tracks code acceptance rate, lines of code added, user-initiated interactions, and daily, weekly, and monthly active users. It compares code generation against acceptance and lines suggested against lines added, with breakdowns by feature, IDE, language, and model. AI adoption phase panels show how users progress and how productivity differs between phases. 
Org Pull Requests and Agentic Features
The GitHub Copilot - Org Pull Requests and Agentic Features dashboard shows how Copilot affects pull request workflows and how your organization uses its agentic and extensibility features. It tracks pull requests reviewed by Copilot, pull request volume, median time to merge, and Copilot review suggestions by comment type and apply rate. It also covers active users by product, VS Code agent sessions, usage of skills, MCP, plugins, slash commands, and custom agents, and Copilot app sessions and token usage. The dashboard helps you assess Copilot’s effect on review speed and quality and track adoption of advanced capabilities. 
Team Analysis
The GitHub Copilot - Team Analysis dashboard gives a team-level view of Copilot usage by applying team membership to per-user activity. It tracks team size, active users, code acceptance rate, lines of code added, and AI credits used, and compares teams over time on a selected metric. Breakdowns by feature, IDE, language, model, AI adoption phase, and capability show how each team uses Copilot. A panel listing inactive team members helps you find where adoption is lagging and target training or license reallocation. 
User Analysis
The GitHub Copilot - User Analysis dashboard gives a user-level view of Copilot activity. It tracks active users, code generation activities, user-initiated interactions, code acceptance rate, lines of code added, and AI credits used. A per-user activity summary and top users by a selected metric sit alongside breakdowns by feature, IDE, language, and model, and panels for AI adoption phases, extensibility usage, and IDE and plugin versions. The dashboard helps you identify power users, spot developers who need support, and keep IDE and plugin versions current. 
Upgrading the GitHub Copilot app (Optional)
To update the app, do the following:
Next-Gen App: To install or update the app, you must be an account administrator or a user with Manage Apps, Manage Monitors, Manage Fields, Manage Metric Rules, and Manage Collectors capabilities depending upon the different content types part of the app.
- Select App Catalog.
- In the Search Apps field, search for and then select your app.
Optionally, you can identify apps that can be upgraded in the Upgrade available section. - To upgrade the app, select Upgrade from the Manage dropdown.
- If the upgrade does not have any configuration or property changes, you will be redirected to the Preview & Done section.
- If the upgrade has any configuration or property changes, you will be redirected to the Setup Data page.
- In the Configure section of your respective app, complete the following fields.
- Field Name. If you already have collectors and sources set up, select the configured metadata field name (eg _sourcecategory) or specify other custom metadata (eg: _collector) along with its metadata Field Value.
- Click Next. You will be redirected to the Preview & Done section.
Post-update
Your upgraded app will be installed in the Installed Apps folder and dashboard panels will start to fill automatically.
See our Release Notes changelog for new updates in the app.
To revert the app to a previous version, do the following:
- Select App Catalog.
- In the Search Apps field, search for and then select your app.
- To version down the app, select Revert to < previous version of your app > from the Manage dropdown.
Uninstalling the GitHub Copilot app (Optional)
To uninstall the app, do the following:
- Select App Catalog.
- In the 🔎 Search Apps field, run a search for your desired app, then select it.
- Click Uninstall.