GitHub Copilot impact dashboard adds ROI section
GitHub's Copilot impact dashboard now includes a "Potential return on investment" section, comparing passive users to agent-first developers by cost, payroll share, and pull requests per month. This feature helps administrators justify Copilot spend by linking AI credit consumption to developer output, with metrics recalculating based on a selectable salary band. The update also refines user counts for adoption cohorts, providing a more accurate view of active users over a 28-day window.
- →Copilot impact dashboard adds return on investment section
- →Improved accuracy for Copilot adoption cohort user counts
- →ROI section availability and access
Features (1) ›
- Copilot impact dashboard adds return on investment section
A new section compares developers by Copilot adoption depth (passive vs. agent-first), showing average cost per developer, cost as a percentage of payroll, and pull requests per month. A salary selector allows modeling potential ROI against payroll assumptions.
Enhancements (1) ›
- Improved accuracy for Copilot adoption cohort user counts
Cohort user counts now reflect all active users within a full 28-day reporting window, addressing previous inaccuracies caused by final-day activity (weekends/holidays). This change only affects the impact dashboard and not the usage metrics API or NDJSON exports.
Notes (1) ›
- ROI section availability and access
The return on investment section is available at the enterprise and organization level for specific roles (enterprise owners, billing managers, organization owners, etc.) with appropriate permissions and enabled policies. Cost figures are estimated based on AI credit consumption and are intended as directional metrics.
https://github.blog/changelog/2026-08-07-copilot-impact-dashboard-adds-a-return-on-investment-section
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