lean-startup

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Design MVPs, validated learning experiments, and pivot-or-persevere decisions using Build-Measure-Learn. Use when the user mentions "MVP scope", "validated learning", "pivot or persevere", "vanity metrics", "test assumptions", "innovation accounting", "build-measure-learn", "minimum viable experiment", "should we pivot", "test a business idea cheaply", or "build the smallest version first". Also trigger when deciding what to include in a first version, measuring startup progress, or evaluating whether to change direction on a product bet. Covers innovation accounting and actionable metrics. For 5-day prototype testing, see design-sprint. For customer motivation analysis, see jobs-to-be-done.

AI & Automation 1,745 stars 179 forks Updated 4 days ago MIT

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Skill Content

# 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. Most startups fail not because they couldn't build what they planned, but because they built the wrong thing: treat every plan as a set of hypotheses to falsify, and spend effort to eliminate waste and accelerate **validated learning**, not to execute a fixed roadmap. ## Scoring **Goal: 10/10.** Score a plan, experiment, or metric set by the five Quick Diagnostic rows—**1 point each** when the answer is yes, **2 points** when it is also backed by evidence on the Validation Ladder (Level 3+): - **9-10:** every leap-of-faith assumption named and ranked by risk, the riskiest tested by a real MVP, actionable metrics defined, and explicit pivot criteria set before building. - **5-6:** a hypothesis and some MVP exist, but metrics are vanity or pivot criteria are undefined—decisions can't be made from the data. - **≤3:** waterfall thinking—building the full product first, asking customers what they want, or scaling before product/market fit. State the current score and the lowest-scoring diagnostic row to fix next. ## The Build-Measure-Learn Loop The fundamental c...

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Author
wondelai
Repository
wondelai/skills
Created
5 months ago
Last Updated
4 days ago
Language
Shell
License
MIT

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Design MVPs, validated learning experiments, and pivot-or-persevere decisions using Build-Measure-Learn. Use when the user mentions "MVP scope", "validated learning", "pivot or persevere", "vanity metrics", "test assumptions", "innovation accounting", "build-measure-learn", or "minimum viable experiment". Also trigger when deciding what to include in a first version, measuring startup progress, or evaluating whether to change direction on a product bet. Covers innovation accounting and actionable metrics. For 5-day prototype testing, see design-sprint. For customer motivation analysis, see jobs-to-be-done.

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