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A Startup Is an Experiment in Finding a Business That Works

A Startup Is a Human Institution Searching Under Extreme Uncertainty

Validated Learning Is Progress Proven by Customer Evidence

Learning Looks Like Evidence, Busywork Looks Like Output

The Riskiest Assumption Deserves the Smallest Possible Test

Every Plan Rests on Two Leaps of Faith: Value and Growth

A Minimum Viable Product Is the Smallest Thing That Teaches

The Cheapest Test That Answers the Question Wins

Numbers That Can Change Your Mind

Innovation Accounting Turns Learning Into a Ledger

Vanity Totals Flatter While Actionable Rates Inform

Only Numbers That Could Change a Decision Deserve a Place on the Dashboard

Pivot or Persevere

A Pivot Changes the Strategy While the Vision Stays

The Choice to Pivot Comes From a Pattern of Evidence on a Schedule

Reading the Signal: Stay, Tune or Turn

Growth Comes From One of Three Engines

Sticky, Viral and Paid Growth Each Run on a Single Number

Most Startups Fail From Premature Scaling, Vanity Numbers and Mixed Engines

Each Idea Belongs to the Engine It Measures

Small Batches Keep the Loop Fast

Small Batches Expose Mistakes in Hours Instead of Months

A Thirty-Day Plan Turns the Method Into Practice

Batch Size Shrinks as Uncertainty Grows

Check Your Understanding

Progress Measured by Evidence

The Most Actionable Number

Reading Flat Results

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Turn any new idea into a series of cheap experiments: test the riskiest assumption, measure with numbers that can prove you wrong, pivot on evidence, and keep the learning loop fast.

Every new product is a bet. This mini-course turns the lean startup method into six practical ideas: how to test the riskiest assumption cheaply, how to measure progress with numbers that can prove you wrong, when to change course, and how to keep the learning loop fast.

The Lean Startup: Build, Measure, Learn

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