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Engineering Metrics That Matter: The IMPACT Framework for Real GenAI Productivity
Paperback
Publisher: Independently Published
Published: Apr 5 2026
Pages: 206
Weight: 0.62
Height: 0.44 Width: 6.00 Depth: 9.00
Language: English
Most teams today are writing more code than ever. AI helped with that. Things look better on the surface - velocity is up, more stories are closing, dashboards look healthy.
And yet something feels off.
Deadlines still slip. Quality issues show up in production. Teams are busy, but not necessarily effective.
The uncomfortable truth is simple: most organizations don't know if they are actually getting better.
This is not a tooling problem. It's a measurement problem.
Engineering Metrics That Matter gives you a system to understand what is really happening inside your engineering organization.
The IMPACT Framework connects six dimensions of engineering performance - speed, quality, predictability, agility, code intelligence, and the impact of GenAI - into one coherent system. Not a dashboard. Not a list of metrics. A system you can use to make decisions.
Inside the book:- Practical metrics you can actually use with formulas, context, and clear interpretation
- Patterns that show when something is wrong, including the Throughput Mirage, Zombie Sprint, and Metric Theatre
- A simple way to connect metrics so they don't get gamed or misinterpreted
- A realistic approach to measuring the impact of GenAI on engineering teams
- Examples from real organizations what worked, what failed, and why
This book is written for engineering leaders who are expected to deliver results and explain them.
- VPs and Directors of Engineering
- Heads of Delivery and Transformation
- Engineering Managers responsible for teams and outcomes
If you've ever looked at your dashboard and thought, This looks fine, but something is not right, this book is for you.
Why this approach works:Most metrics fail because they are used in isolation. One number improves, another gets worse, and nobody sees the connection.
IMPACT works as a system. When something moves in the wrong direction, it becomes visible somewhere else. That is what makes it usable in real environments.
This is based on real data, not theory - across hundreds of teams, thousands of sprints, and multiple industries.
The goal is not more metrics. The goal is better decisions.
Zoltan Sipkai is an engineering executive. He has led multi-region engineering organizations, built engineering intelligence systems, and worked with teams ranging from startups to Fortune 500 companies. He is also the author of The CAPTAINSHIP Framework.
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