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The Lean Startup

The Lean Startup

by Alex Ng

Eric Ries’ revolutionary approach to building successful startups through validated learning and rapid iteration.

3 min read
intermediate

The Big Idea

"Startups aren't smaller versions of large companies - they're organizations searching for a sustainable business model. Success comes not from executing a perfect plan but from validated learning through rapid experimentation, measuring what matters, and pivoting when necessary."

Key Insights

1

Build-Measure-Learn

The fundamental activity of a startup is to turn ideas into products, measure customer responses, and learn whether to pivot or persevere. Minimize the total time through this feedback loop to accelerate learning.

Example

Instead of spending a year building a perfect product, build a minimum viable product in weeks. Measure how customers actually use it. Learn from real behavior, not hypothetical preferences.

2

Minimum Viable Product (MVP)

The MVP is the smallest thing you can build to start the learning loop. It's not a minimal product - it's maximum learning for minimum effort. The goal is to test assumptions, not to build features.

Example

Dropbox's MVP was a 3-minute video showing how the product would work. It tested whether people wanted the product before building it. The signup list went from 5,000 to 75,000 overnight.

3

Validated Learning

Progress is not lines of code or features shipped - it's validated learning about what customers actually want. If you build something nobody wants, nothing else matters. Learning is the only essential measure of progress.

Example

IMVU tested features rapidly by shipping incomplete products. A feature that customers ignored was learning: that assumption was wrong. A feature they loved was validation: build more of that.

4

Pivot or Persevere

Based on learning, startups must decide whether to pivot (change a fundamental hypothesis) or persevere (stay the course). Pivots aren't failures - they're course corrections based on evidence.

Example

YouTube started as a video dating site. When they noticed people uploading all kinds of videos, they pivoted. Twitter (originally Odeo, a podcasting company) pivoted when iTunes dominated podcasting.

Chapter Breakdown

The Problem with Traditional Planning

Traditional business planning assumes you know what customers want. Startups operate under extreme uncertainty - you don't know who your customer is, what they want, or how to deliver it profitably. Planning in the face of such uncertainty is fantasy.

The Build-Measure-Learn Loop

The core activity of a startup is turning ideas into products, measuring customer response, and learning whether to pivot or persevere. Speed through this loop is the competitive advantage. Everything that doesn't contribute to learning is waste.

Minimum Viable Product

Build the simplest thing that tests your hypothesis. The MVP isn't about minimal features - it's about maximum learning. If you're not embarrassed by your first version, you launched too late.

Innovation Accounting

Traditional accounting doesn't work for startups. You need metrics that measure learning: customer acquisition, activation, retention, referral, revenue. Focus on actionable metrics (what to do differently) not vanity metrics (what looks good).

Pivot or Persevere

At regular intervals, evaluate your progress. Are you learning? Are you moving toward a sustainable business? If not, consider a pivot - a structured course correction. Types include zoom-in (one feature becomes the product), zoom-out (product becomes one feature), customer segment, platform, and many others.

Take Action

Practical steps you can implement today:

  • Identify your riskiest assumptions and test them first, before building more

  • Define what success looks like before launching an experiment - what would you need to see to continue?

  • Build the smallest possible thing that tests your core hypothesis

  • Schedule regular 'pivot or persevere' meetings to evaluate whether your strategy is working

Summary Written By

A
Alex Ng

Software Engineer & Writer

Software engineer with a passion for distilling complex ideas into actionable insights. Writes about finance, investment, entrepreneurship, and technology.

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