Overview
The Copilot Metrics Dashboard provides visibility into GitHub Copilot adoption, usage patterns, code generation activity, and productivity impact across engineering teams. It helps organizations monitor developer engagement, acceptance rates, AI-assisted coding effectiveness, and the business value generated through Copilot usage. The dashboard is designed for engineering leaders, platform teams, and administrators who need to measure AI coding adoption and evaluate the impact of GitHub Copilot on developer productivity.Key Performance Indicators
What is it?
A summary section displaying high-level Copilot usage and productivity metrics for the selected reporting period.Why is it important?
Provides an immediate overview of Copilot adoption, developer engagement, code generation activity, and AI-assisted development effectiveness.Where does it exist?
Top section of the Copilot Metrics Dashboard.Metrics Included
Active Users Displays the number of licensed users actively using Copilot during the selected period. Active Chat Users Displays the number of users actively utilizing Copilot Chat features. Inactive Users Displays the number of licensed users who have not used Copilot during the selected period. AI Completions Displays the total number of AI-generated code completions provided by Copilot. Agent Acceptance Rate Displays the percentage of Copilot suggestions that were accepted by users. Lines Suggested Displays the total number of lines of code suggested by Copilot. Lines Accepted Displays the total number of suggested lines accepted into the codebase. Lines Deleted Displays the number of Copilot-generated lines that were later removed.Use Cases
- Monitor Copilot adoption across teams
- Measure developer engagement
- Track AI coding activity
- Evaluate code suggestion effectiveness
- Identify opportunities to increase adoption
Usage Trends
What is it?
A trend visualization showing user activity, chat usage, and overall Copilot engagement over time.Why is it important?
Helps organizations understand how Copilot adoption changes over time and identify engagement patterns across engineering teams.Where does it exist?
Middle section of the dashboard below the KPI cards.Metrics Included
Active Users Tracks the number of users actively using Copilot over time. Active Chat Users Tracks usage of Copilot Chat features across the reporting period. Inactive Users Tracks users who have not engaged with Copilot during the selected period.Use Cases
- Monitor adoption trends
- Identify engagement changes
- Track feature utilization
- Measure ongoing AI adoption
Seat Utilization
What is it?
A utilization indicator showing how many licensed Copilot seats are actively being used.Why is it important?
Helps organizations understand license utilization and identify unused or underutilized Copilot licenses.Where does it exist?
Center section of the Usage Trends panel.Metrics Included
Licensed Total number of purchased Copilot licenses. Active Number of licenses currently being utilized. Inactive Number of licensed users who are not actively using Copilot. Seat Utilization Percentage Percentage of purchased licenses currently in use.Use Cases
- Optimize licensing costs
- Identify unused licenses
- Improve adoption initiatives
- Monitor return on license investments
Seat Utilization Trend
What is it?
A trend chart showing seat utilization percentages over time.Why is it important?
Provides visibility into how effectively Copilot licenses are being utilized throughout the organization.Where does it exist?
Below the Seat Utilization summary section.Use Cases
- Track utilization growth
- Measure adoption campaigns
- Monitor licensing efficiency
- Identify seasonal usage patterns
User Breakdown
What is it?
A user-level breakdown showing Copilot adoption and productivity metrics for individual users.Why is it important?
Provides detailed visibility into user engagement, AI adoption, and usage effectiveness.Where does it exist?
Below the Usage Trends section.Metrics Included
User Name Individual Copilot user. Active Users Indicates user activity status. Chat Users Displays Copilot Chat usage. Acceptance Rate Shows the percentage of accepted AI suggestions. Inactive Count Displays inactivity metrics for users. Hours Saved Estimated productivity gains generated through Copilot usage.Use Cases
- Measure individual adoption
- Identify power users
- Monitor engagement levels
- Evaluate productivity improvements
ROI & Business Impact Summary
What is it?
A business-focused summary section estimating the value generated through GitHub Copilot adoption.Why is it important?
Helps organizations quantify the productivity and financial impact of AI-assisted software development.Where does it exist?
Bottom section of the dashboard.Metrics Included
Total Hours Saved Estimated number of development hours saved through Copilot-assisted coding. Estimated Cost Saved Estimated engineering cost savings generated through productivity improvements. Monthly ROI Estimated monthly return on investment from Copilot adoption. Annual ROI Projected annual return on investment based on current usage trends. ROI Multiplier Represents the estimated value generated for every unit of investment in Copilot licenses.Use Cases
- Demonstrate business value
- Support executive reporting
- Measure AI adoption success
- Quantify engineering productivity gains
- Justify Copilot investments
Controls and Filters
What is it?
Interactive controls used to customize dashboard data and reporting views.Why is it important?
Allows users to analyze Copilot usage across different projects and time periods.Where does it exist?
Top section of the dashboard.Features
Project Filter Allows users to select a specific project and view Copilot metrics associated with that project. Date Range Filter Allows users to define a custom reporting period. Quick Time Filters Provides predefined reporting windows such as:- 7 Days
- 15 Days
- 90 Days