lean-startup

Lean startup validation uses Build-Measure-Learn loops to test hypotheses with minimum viable products. You can run MVP experiments like concierge or Wizard of Oz tests to gather early customer signals before committing heavy engineering resources.

To design a Build-Measure-Learn loop, plan a small MVP experiment to test a specific hypothesis, measure early actionable metrics from the results, and then decide whether to persevere or pivot based on that validated learning.

You can run several types of MVP experiments including Concierge, Wizard of Oz, Smoke Test, Single Feature, and Piecemeal MVPs. Each approach allows you to validate demand and learn from users without building a complete product.

You should pivot your product strategy when actionable metrics from your MVP experiments consistently fail to validate your core hypotheses. This evidence-based decision prevents continuing down an unsuccessful path and redirects efforts to a new strategy.

Innovation accounting is a framework for measuring startup progress using actionable metrics instead of vanity numbers. It tracks validated learning from MVP experiments to provide a clear, evidence-based picture of product-market fit.