The Lean Startup: Build, Measure, Learn

A program based on Eric Ries' "The Lean Startup" principles, focusing on validating ideas, building MVPs, and iterating through the build-measure-learn feedback loop for startup success. This program emphasizes practical application through varied interactions, explicit learning progressions, and robust feedback mechanisms. Social influence is considered, and behavioral economics principles are applied to enhance engagement and long-term retention.

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Program Modules

💡

Debunking Startup Myths & Embracing Lean Principles

Understand the common startup myths and the core philosophy behind the Lean Startup methodology.

Myth Busting Kickoff

Daily

Start your day by identifying and challenging common startup myths.

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Understanding the Build-Measure-Learn Loop

Daily

Learn about the build-measure-learn feedback loop and how it applies to startup development. Consider the problems associated with long planning cycles.

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🧪

The Experimentation Phase & MVP Development

Dive into the world of experimentation and learn about different types of Minimum Viable Products (MVPs) to validate your hypotheses.

Hypothesis Formulation & Validation

Daily

Identify core hypotheses and design MVPs to validate them.

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Iterate on MVP Based on Feedback

Daily

Learn about Video, Concierge, and Wizard of Oz MVPs. Brainstorm which type of MVP would be most suitable for your idea.

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📈

Engines of Growth & The Pivot or Persevere Decision

Discover the three engines of growth and learn how to decide whether to pivot your strategy or persevere with your current approach.

Growth Engine Deep Dive

Daily

Analyze and select the most appropriate growth engine for your startup.

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Pivot or Persevere: Decision Time

Daily

Apply a framework for deciding whether to pivot your strategy or persevere with your current approach.

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What You'll Accomplish

  • Understand the Build-Measure-Learn feedback loop.
  • Apply the Lean Startup methodology to validate startup ideas.
  • Develop Minimum Viable Products (MVPs) effectively.
  • Identify appropriate engines of growth for different business models.
  • Make informed decisions about pivoting or persevering.
  • Understand the importance of validated learning through experimentation.