What Is Lean Startup? Definition, Examples & Best Practices
Lean Startup Lean Startup is a methodology developed by Eric Ries that emphasizes building products through validated learning, rapid experimentation, and iterative product releases. The core concept is the Build-Measure-Learn feedback loop: build a minimum viable product, measure how customers respond, learn from the data, and decide whether to pivot or persevere.
Why lean startup matters
Lean Startup reduces the risk of building products nobody wants. Instead of spending months building a full product based on assumptions, you test the riskiest assumptions first with the smallest possible experiment. This saves time, money, and team morale.
How it works
Identify your riskiest assumption. Build the minimum experiment to test it (MVP). Measure the results with actionable metrics (not vanity metrics). Learn whether the assumption was validated or invalidated. If validated, iterate and scale. If invalidated, pivot to a new approach. Repeat the loop continuously.
Common mistakes
Building an MVP that is too big (it should test one hypothesis, not be a small version of the full product)
Using vanity metrics instead of actionable metrics
Not having a clear hypothesis before building
Pivoting too quickly without learning, or persevering too long without evidence