The Lean Startup: Difference between revisions
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=== I – Vision ===
🚀 '''1 – Start.''' Entrepreneurship is framed as a managerial discipline for environments of extreme uncertainty, where progress is measured not by output but by learning. The chapter introduces the Build–Measure–Learn feedback loop as a steering mechanism: turn ideas into products, observe real customer behavior, and decide when to pivot or persevere. Planning yields to rapid, evidence‑driven adjustments aimed at building a sustainable business. ''Entrepreneurship is management.''
🧭 '''2 – Define.''' The scope of “entrepreneur” expands beyond garage founders to intrapreneurs inside large firms, and “startup” is defined by context rather than size or sector. A detailed case on Intuit’s SnapTax shows a constrained early release validating demand—more than 350,000 downloads in its first three weeks—illustrating how disciplined experimentation can thrive in a corporate setting. The chapter argues that cultivating entrepreneurship requires explicit executive support and a new management paradigm. ''A startup is a human institution designed to create a new product or service under conditions of extreme uncertainty.''
📚 '''3 – Learn.''' Validated learning becomes the unit of progress, replacing vanity metrics and “success theater” with empirical evidence that the business model is working. The IMVU story shows how shipping imperfect product, instrumenting behavior, and reading real usage revealed which assumptions were wrong and where value actually resided. Everything a startup does—every feature and campaign—is treated as an experiment designed to produce reliable learning. ''We must learn what customers really want, not what they say they want or what we think they should want.''
🧪 '''4 – Experiment.''' Ideas are translated into falsifiable hypotheses, experiments are designed to test behavior (not opinions), and learning is maximized by defining clear pass/fail criteria in advance. The chapter rejects the “just do it” approach as activity without insight, urging small, fast tests that reveal causal impact. Evidence, not enthusiasm, determines the next move in the Build–Measure–Learn loop. ''This is one of the most important lessons of the scientific method: if you cannot fail, you cannot learn.''
=== II – Steer ===
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