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Workshopping.ai

Framework

Lean Startup

Build-Measure-Learn loops that shorten the cost of being wrong.

Summary

Lean Startup is a methodology for building products under extreme uncertainty. It treats every assumption as a hypothesis to test, and uses tight Build-Measure-Learn loops to discover what customers actually want.

History

Coined by Eric Ries in 2011, Lean Startup combined Steve Blank's customer development with agile software practices and lean manufacturing principles from Toyota.

How it works

  1. Articulate the riskiest assumption in your business idea.
  2. Design the smallest experiment that could disprove it.
  3. Build a minimum viable product to run that experiment.
  4. Measure with actionable metrics, not vanity numbers.
  5. Learn, and decide to persevere or pivot.

Advantages

  • Reduces wasted work
  • Forces customer contact
  • Surfaces bad ideas early

Limitations

  • Can fetishize speed
  • Hard for capital-intensive products
  • Easy to mistake for an excuse to ship bad work

Examples

  • - Dropbox validating demand with a video MVP
  • - Zappos selling shoes from local stores before holding inventory

Implementation guide

  • - Write hypotheses in a shared doc
  • - Run one experiment per week
  • - Keep a decision log with persevere or pivot calls

Lean Startup - FAQ

Is Lean Startup only for software?
No. The mindset adapts to hardware, services, and even nonprofit work.

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