# From metrics to impact: Turn GitHub Copilot data into business value

Source: https://www.youtube.com/watch?v=FWsAQpP6_kw
Recap page: https://rapidrecap.app/video/FWsAQpP6_kw
Generated: 2025-11-10T15:42:35.208+00:00

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## Quick Overview

GitHub is advancing its AI-powered developer platform by moving beyond simple usage metrics to focus on business impact, rolling out Copilot metrics in public preview now and planning further enhancements like fine-grained permissions and impact metrics by February 2026, all aimed at proving ROI and driving adoption across the entire software development lifecycle.

**Key Points:**
- GitHub Copilot metrics are now in public preview, allowing users to measure AI adoption and impact from metrics to business outcomes.
- The roadmap includes delivering Organization analytics and Lines of Code dashboard by Nov-Dec 2025, followed by fine-grained permissions and Copilot metrics data export in January 2026.
- By February 2026, GitHub plans to deliver impact metrics (like HES metrics) and expand the time window for data visibility to over 28 days.
- The goal is to move from metrics to impact by showing how AI drives efficiency, velocity, and ROI across the SDLC, moving beyond anecdotal feedback.
- Mona Inc.'s CTO and VP of Engineering are using these metrics to understand adoption, identify areas needing support, and guide strategic decisions.
- Key metrics for leaders include AI proficiency/efficiency (EM), budget justification/risk mitigation (CIO), team happiness/delivery velocity (VP of E), and technical leadership/monitoring (CTO).

![Screenshot at 00:39: Sharanya Doddapaneni presents the core theme: "Adopted Copilot, but need to measure value" with a visual transition to the AI-powered Copilot mascot, setting the stage for discussing metrics and impact.](https://ss.rapidrecap.app/screens/FWsAQpP6_kw/00-00-39.png)

**Context:** The presentation, delivered by Sharanya Doddapaneni (VP, Engineering at GitHub) and Shruti Corbett (Senior Director of Engineering at GitHub), focuses on how GitHub is evolving its measurement strategy for GitHub Copilot. The core message is shifting from simply tracking Copilot usage to quantifying its tangible business impact and ROI, using data to guide engineering and organizational strategy.

## Detailed Analysis

The presentation details GitHub's strategy to prove the value of GitHub Copilot by shifting focus from basic usage metrics to measuring business impact and ROI. Sharanya Doddapaneni outlines the journey from initial adoption to realizing impact, emphasizing that metrics should tell stories, not just measure progress. Key customers like Mona Inc. are already using these metrics to guide engineering focus, such as identifying when teams rely too heavily on chat mode over inline edits, or where training/workflow tweaks are needed. The roadmap reveals a phased rollout: Organization analytics and Lines of Code dashboard are slated for Nov-Dec 2025. January 2026 will bring fine-grained permissions for roles and Copilot metrics data export. By February 2026, they plan to deliver impact metrics (like HES metrics) and expand the data window to over 28 days. The overall goal is to create an end-to-end insight loop across the SDLC (covering Quality, Velocity, Time to Contribution, Time to Speed, and ultimately Business Value). Shruti Corbett then takes over to demonstrate the Copilot Usage and Adoption dashboard and API, showing how leaders across different roles (CTO, VP of E, CIO, EM) can use specific metrics relevant to their focus areas (e.g., CIOs focus on budget justification, EMs focus on developer velocity) to drive strategic decisions and prove ROI.

### Copilot Metrics & Roadmap

- Copilot metrics public preview today (GA - February 2026)
- Roadmap includes Org analytics, Lines of Code dashboard (Nov-Dec 2025), Fine-grained permissions, Copilot metrics data export (Jan 2026), and Impact metrics (Feb 2026)

### SDLC Cycle of Improvement

- Cycle includes Gather feedback
- Deploy solutions
- Drive efficiency
- Quality/Metrics, all feeding into overall SDLC metrics.

### Role-Specific Metrics Focus

- CTO focuses on competitive monitoring/tech leadership
- VP of E on team happiness/operational efficiency
- CIO on budget justification/business impact
- EM on proficiency/developer velocity.

### Mona Inc. Case Study

- Retail customer started tracking active users, saw a 72% agent adoption rate, and used metrics to guide training and workflow fixes.

### Data-Driven Decision Making

- Metrics help identify if teams rely too much on chat mode or skip code review, allowing leaders to drive efficiency, velocity, and ROI.

### Future Roadmap Items (March 2026+)

- Team-and-agent analytics
- Individual analytics
- Analytics agent
- DWR connectors
- Impact metrics.

![Screenshot at 00:02: Announcement slide for GitHub Universe 25 conference, Oct 28-29, 2025 in San Francisco & Virtual.](https://ss.rapidrecap.app/screens/FWsAQpP6_kw/00-00-02.png)
![Screenshot at 00:15: Sharanya Doddapaneni introduces the problem: "Adopted Copilot, but need to measure value" with a graphic of the Copilot owl mascot.](https://ss.rapidrecap.app/screens/FWsAQpP6_kw/00-00-15.png)
![Screenshot at 00:39: Slide showing the initial challenge of connecting AI innovation to business outcomes using metrics.](https://ss.rapidrecap.app/screens/FWsAQpP6_kw/00-00-39.png)
![Screenshot at 01:24: Graphic illustrating the "Journey of value and impact" moving from metrics to business value across stages like Proficiency, Efficiency, and Impact.](https://ss.rapidrecap.app/screens/FWsAQpP6_kw/00-01-24.png)
![Screenshot at 02:18: Announcement slide revealing "Copilot metrics public preview today" with GA in February 2026.](https://ss.rapidrecap.app/screens/FWsAQpP6_kw/00-02-18.png)
![Screenshot at 03:08: Slide detailing metrics alignment with different leadership roles: CTO, VP of E, CIO, and EM.](https://ss.rapidrecap.app/screens/FWsAQpP6_kw/00-03-08.png)
![Screenshot at 03:55: Graph showing data on IDE weekly active users and daily active users, demonstrating usage patterns.](https://ss.rapidrecap.app/screens/FWsAQpP6_kw/00-03-55.png)
![Screenshot at 06:41: Shruti Corbett takes the stage to demo the Mona Inc. fictional use case.](https://ss.rapidrecap.app/screens/FWsAQpP6_kw/00-06-41.png)
![Screenshot at 07:24: Screenshot of the dark-themed GitHub Copilot Usage dashboard showing key metrics like active users, agent adoption, and chat model usage.](https://ss.rapidrecap.app/screens/FWsAQpP6_kw/00-07-24.png)
![Screenshot at 11:15: Dashboard section showing Code Completions \(accepted vs. suggested\) and Code Completion Acceptance Rate graphs, illustrating quality metrics over time.](https://ss.rapidrecap.app/screens/FWsAQpP6_kw/00-11-15.png)