GitHub presents a session with Sharanya Doddapaneni and Shruti Corbett at GitHub Universe 2025, demonstrating how leaders can leverage GitHub Copilot Metrics to drive adoption, measure impact, and demonstrate AI’s business value.

Transforming GitHub Copilot Metrics into Business Value

Speakers:

  • Sharanya Doddapaneni, VP, Engineering, GitHub
  • Shruti Corbett, Senior Director of Engineering, GitHub

Overview

This session addresses the question: “Now that your GitHub Copilot deployment is live, how do you measure its real impact?” It is aimed at engineering leaders interested in using data to turn AI adoption into a business-critical component of their organization.

Key Topics

  • Refreshed Copilot Metrics Dashboard:
    • Walkthrough of the redesigned dashboard offering comprehensive, actionable usage insights.
  • Understanding Adoption Patterns:
    • How to interpret Copilot usage data to identify high-performing teams and areas for improvement.
  • Driving Broader Adoption:
    • Practical approaches for increasing Copilot utilization across engineering teams.
  • Demonstrating ROI:
    • Translating usage metrics into compelling narratives to secure ongoing AI investment.
  • Business Outcomes:
    • Strategies tied to three outcomes: measuring effective use, expanding adoption, and proving business value.
  • Live Demo:
    • Hands-on demonstration of the metrics dashboard.
  • Feedback Loop:
    • Using observed data for continuous improvement: “Observe, learn, and act.”
  • Future Roadmap:
    • Looking ahead to additional impact and SDLC metrics.

Chapters Breakdown

  • 00:00 The challenge: Measuring the impact of AI
  • 01:17 The metrics journey from adoption to business impact
  • 02:15 Announcing the refreshed Copilot Metrics dashboard
  • 03:02 Using metrics: How different leaders get value
  • 06:41 Live demo: Copilot Metrics dashboard
  • 16:53 Metrics-driven transformation for GitHub and customers
  • 18:40 Creating a feedback loop
  • 20:38 Roadmap for future metrics

Takeaways

  • Learn to use Copilot Metrics dashboards for actionable insights.
  • Strategies to drive broader Copilot adoption and measurable impact.
  • Methods to justify AI investment by linking metrics to ROI.
  • Continuous feedback loop for improvement using Copilot data.