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GitHub Copilot Metrics & ROI Toolkit

A comprehensive, docs-first toolkit for measuring GitHub Copilot adoption and proving ROI. Built for engineering leaders, DevEx teams, FinOps, and platform teams.

What This Is

This toolkit provides a structured approach to measuring GitHub Copilot's impact across two phases:

  1. Adoption — Who's using Copilot, where, and how deeply?
  2. Impact & ROI — Is it improving delivery outcomes? How do you quantify ROI defensibly?

This is not an adoption guide. It's a measurement guide. It assumes you've rolled out Copilot and now need to prove value.

Who It's For

Audience What you'll find
Engineering Leaders (CTO, VP Eng) ROI frameworks, executive templates, outcome correlation
DevEx / Platform Teams Dashboards, APIs, data pipelines, measurement playbooks
FinOps / Procurement Cost analysis, license utilization, ROI one-pagers
Copilot Admins Usage metrics, scope/limitations, API reference
Champions & Analysts Tool catalog, BI integrations, dashboard recipes

Quick Start

Choose your path based on where you are:

Path Description Start Here
🟢 Quick Start Native dashboards, minimal setup Quick Start
🟡 Analytics-Ready NDJSON exports + BI tools Analytics-Ready
🔴 Outcome Correlation DORA + Copilot correlation via DevLake Outcome Correlation

Documentation Site

The full toolkit is available as a browsable documentation site:

# Local development
pip install mkdocs-material
mkdocs serve

Then open http://localhost:8000.

What's Inside

docs/                    # All documentation content
├── index.md             # Home page
├── measurement-journey  # The 2-phase framework
├── adoption/            # Phase 1: Adoption metrics, playbooks, tools
├── impact/              # Phase 2: Impact, ROI framework, DORA correlation
├── dashboards-data-sources  # Native dashboards, APIs, exports
├── tool-catalog         # 7 tools compared
├── exec-templates/      # Reusable exec artifacts
├── faq-glossary         # Common questions + terms
└── references           # All sources
scripts/                 # Helper scripts for data pulls
data-samples/            # Example NDJSON schemas + mock data

Contributing

See CONTRIBUTING.md for how to update and extend this toolkit.

License

MIT

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Measure Copilot adoption and prove ROI — a practical guide for engineering leaders

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