Lean Startup Methodology

A systematic approach to building startups and launching new products that shortens development cycles and rapidly discovers whether a business model is viable.

Core Principle

Entrepreneurship is a form of management. Success doesn't require a perfect plan or brilliant insight—it requires a systematic process for testing assumptions, learning from customers, and iterating rapidly.

The foundation: Most startups fail not because they couldn't build what they planned, but because they built the wrong thing. Lean Startup applies scientific experimentation to eliminate waste and accelerate validated learning.

Scoring

Goal: 10/10. Rate product development plans, experiments, or metrics 0-10 against Lean Startup principles: full Build-Measure-Learn application and evidence-based decisions score 10; waterfall thinking or waste lowers the score. Always state the current score and the specific improvements needed to reach 10/10.

The Build-Measure-Learn Loop

The fundamental cycle: IDEAS → BUILD (product) → MEASURE (data) → LEARN (knowledge) → back to IDEAS.

Critical insight: Plan the loop backward:

1. What do we want to learn? (hypothesis to test)
2. How will we know if we learned it? (metrics)
3. What's the minimum we can build? (MVP)

Goal: Minimize total time through the loop.

See: references/build-measure-learn.md for detailed loop execution and reverse planning.

Validated Learning

Learning what customers really want through experiments on real behavior—not feature requests, surveys, or focus groups (people mispredict their own behavior). Measure what customers do, not what they say, and run experiments that could falsify your assumptions. Vanity wins (downloads, signups without engagement) are not learning.

The Validation Ladder:

Target: Level 4-5 before building at scale.

Minimum Viable Product (MVP)

The version of a new product that allows maximum validated learning with the least effort. Not a prototype (technical feasibility), not a b