A practical system to measure, prove, and improve your AI impact
👤 Created by: Abhishek Sisodia | Abhi’s AI Playbook
📅 Version: 1.0 | Updated: October 2025
“AI impact isn’t about how much code AI writes. It’s about whether it makes your team better at what already matters — speed, quality, and experience.”
This toolkit helps you set up your first AI ROI Measurement Framework in under 2 weeks.
You’ll learn how to:
✅ Establish a pre-AI baseline
✅ Track AI adoption and costs
✅ Measure real business impact
✅ Monitor developer experience
| 🔢 Layer | 💬 Description | 📊 Example Metrics | 🧰 Tools |
|---|---|---|---|
| 1️⃣ Outcomes | Measures core business results | PR Throughput, Cycle Time, Change Failure Rate, Deployment Frequency | GitHub, CI/CD |
| 2️⃣ Adoption | Tracks usage, time saved, and cost | % of AI-active users, time saved per week, token spend per PR | Tool telemetry, APIs |
| 3️⃣ Experience | Evaluates human and cultural impact | AI-CSAT, Change Confidence, Maintainability, DevEx | Surveys, DX dashboards |
Goal: Capture “before AI” performance data
Actions: