Lenny's PodcastHow to measure and improve developer productivity | Nicole Forsgren (Microsoft Research, Github)
At a glance
WHAT IT’S REALLY ABOUT
Measuring Developer Productivity: DORA, SPACE, and DevEx That Works
- Nicole Forsgren, co-author of Accelerate and the DORA reports, breaks down how to rigorously measure and improve developer productivity and experience. She explains the DORA metrics (speed and stability) and the SPACE framework (a holistic way to pick balanced metrics), and how they fit together in practice.
- A central theme is that shipping smaller, more frequent changes makes systems both faster and more stable, debunking the belief that speed harms reliability. Nicole also stresses starting with a clear problem definition (“what exactly are we trying to improve?”) before measuring anything.
- She covers how to blend qualitative (surveys, interviews) and quantitative (system telemetry) data, common pitfalls in DevEx initiatives, and why AI tools like GitHub Copilot change workflows but don’t simply translate to “fewer engineers needed.”
- Finally, she previews her upcoming book on measuring DevEx, shares practical frameworks (SPACE, DORA, a four-box hypothesis framework, and a decision spreadsheet), and emphasizes communication: tailoring insights to leaders and developers in language that resonates.
IDEAS WORTH REMEMBERING
5 ideasStart with a precise problem, not with metrics or tools.
Most DevEx efforts stumble because leaders say vague things like “improve developer experience” without specifying whether they mean culture, tooling friction, inner/outer loop, or something else. Alignment on the exact goal prevents teams from working for months on the wrong problem.
Use DORA’s four metrics to track software delivery performance holistically.
DORA focuses on two speed metrics (deployment frequency, lead time for changes) and two stability metrics (MTTR, change fail rate). High performers show that speed and stability move together when you adopt good technical and architectural practices, overturning the myth that you must trade one for the other.
Ship smaller, more frequent changes to improve both speed and quality.
Batching work into large, infrequent releases increases blast radius, complexity, and debugging time, making systems less stable. Moving to small, frequent deployments reduces merge conflicts, shrinks the blast radius, and shortens the time and cognitive load needed to restore from failures.
Use the SPACE framework to choose balanced, non-gamed metrics.
SPACE (Satisfaction & well-being, Performance, Activity, Communication & collaboration, Efficiency & flow) is a lens for picking at least three complementary metrics instead of over-optimizing on easy counts like lines of code or PRs. This avoids perverse incentives and captures the full complexity of knowledge work.
Combine survey data with system telemetry; don’t dismiss subjective feedback.
Developer surveys reveal friction, heroics, and missing data that instrumentation can’t see (e.g., work outside version control, Rube Goldberg pipelines). In practice, when surveys and telemetry disagree, surveys are often right—so treat people-data as a first-class signal, not a “nice-to-have.”
WORDS WORTH SAVING
5 quotesIf you're talking about culture, this is totally different than if you're talking about friction in tool chains. If you're on different pages, you're heading in completely different directions.
— Nicole Forsgren
When you move faster, you are more stable. When you push less frequently, you will have more unstable systems.
— Nicole Forsgren
DevOps is not a toolchain you buy. Marketing teams labeled toolchains DevOps because they wanted your money.
— Nicole Forsgren
You will never find yourself in a situation when you don’t want both types of data—data from people and data from systems.
— Nicole Forsgren
Anyone who’s looking at AI tools and thinking, ‘Now I can lay off half my workforce,’ that’s not what this is about.
— Nicole Forsgren
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