
From the library
Nicole Forsgren, Jez Humble, Gene Kim, 2018
In one paragraph
Research-based guide to building high-performing technology organizations. Based on four years of research and data from over 23,000 survey responses from the State of DevOps reports, using rigorous statistical methods to measure software delivery performance and what drives it. Winner of the Shingo Publication Award.
Also tagged
Where this sits in the operating system
Systems Over Goals
Systems Over Goals
Systems Over Goals
Continuous Improvement & Feedback Loops
Key insights
Four measures capture delivery performance: lead time, deployment frequency, time to restore, change failure rate. Speed and stability rise together rather than trading off.
The research design is the contribution. This is the rare management claim built on survey data with stated methodology rather than case selection.
Culture predicts performance, and the direction of causation runs both ways: how you deliver shapes the culture that shapes delivery.
Recognise it early
The failure and the correction sit side by side deliberately. Read the left column asking whether any of it is already true of you.
Focusing on individual heroics over systematic capabilities
Prioritizing tools over process, culture, and systematic practices
Making decisions without measurement and objective data analysis
Treating speed and stability as competing organizational priorities
Ignoring employee satisfaction, burnout, and cultural health factors
The same idea, argued differently
Masaaki Imai
Gene Kim, Kevin Behr, George Spafford
Ryan Deiss
Dan Sullivan, Benjamin Hardy
The full breakdown
Before you close this
Naming the specific moment you will act roughly doubles the odds you do.
Reference
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