The Lean Startup — Eric Ries

Core Thesis

Startups operate under extreme uncertainty. The goal is not to build a perfect product — it’s to LEARN as fast as possible through the Build-Measure-Learn loop. Everything else is waste.

Key Principlesflashcards

What is the Build-Measure-Learn loop? ?

  1. Build — create a minimum viable product (MVP)
  2. Measure — collect data on how customers actually use it
  3. Learn — did we validate or invalidate our hypothesis? Then decide: persevere or pivot. The goal is to minimize TOTAL TIME through this loop, not to optimize any single step.

What is an MVP and what is it NOT? ? An MVP is the smallest thing you can build to learn whether your hypothesis is true. It is NOT:

  • A crappy version of your full vision
  • A prototype to impress investors
  • A feature-reduced product It’s an experiment. It can be a landing page, a concierge service, a video, a spreadsheet. The question is: what do I need to learn, and what’s the cheapest way to learn it?

What is the difference between “vanity metrics” and “actionable metrics”? ? Vanity metrics: total signups, page views, downloads — they go up and to the right and feel good but don’t tell you if your business is working. Actionable metrics: conversion rate, retention, revenue per user — they tell you if a specific change had a specific effect. If a metric doesn’t change your behavior, it’s vanity.

What is a “pivot” and how do you know when to do one? ? A pivot is a structured course correction — changing one element of your strategy while keeping what you’ve learned. Signs you need one:

  • Experiments show diminishing returns
  • Metrics plateau despite effort
  • You’re growing but customers aren’t retaining Types: zoom-in, zoom-out, customer segment, channel, technology pivot. A pivot is NOT failure — it’s learning operationalized.

What is “innovation accounting”? ? A framework for measuring progress in a startup where traditional accounting doesn’t work:

  1. Establish the baseline — where are your metrics today?
  2. Tune the engine — run experiments to move the metrics
  3. Decide: pivot or persevere — are the metrics improving toward the business model you need? This replaces “trust me, it’s going well” with actual evidence.

Situations

  • product-strategy, experimentation, prioritization, decision-making, stakeholder-communication, roadmap-planning, killing-projects