Framework · 3 notes · discussed by Lenny Rachitsky, Nicole Forsgren, Will Larson

DORA Metrics

Every note in the archive that names DORA Metrics: summaries, key takeaways and links to the original essays, episodes and posts. Ask a question below to get a cited answer from just these notes’ authors.

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Lenny’s Podcast99 min

The engineering mindset

Will Larson · Jan 7, 2024
Key learnings
  • Treat engineers as capable adults by giving them hard problems and accountability, which lets them grow into senior leadership…
  • Build simple stock-and-flow models of processes like hiring pipelines, then compare them against historical data to find where…
  • Write your engineering strategy down, even imperfectly; an unwritten strategy cannot be debugged or improved, and every function…
Lenny’s Podcast95 min

How to measure AI developer productivity in 2025

Nicole Forsgren · Oct 19, 2025
Key learnings
  • Before measuring anything, get crisp on the problem or goal, since teams often interpret vague mandates like 'improve developer…
  • Shipping smaller changes more often tends to improve both speed and stability together, because small batches have smaller blast…
  • DORA's four metrics (deployment frequency, lead time, time to restore, change fail rate) give a benchmark-style view of where you…