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The Lean Startup, in bytes

23 key learnings from Eric Ries’ method for building new products and businesses under extreme uncertainty, following its three parts: vision, steer and accelerate. Each takes about 40 seconds to read. Swipe, use the arrows, or your keyboard.

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All 23 learnings · one per slide

The Lean
Startup

Eric Ries, in bytes

23 key learnings on building products under uncertainty: build, measure, learn, and know when to pivot.

23 learnings · ~40 sec eachSwipe →
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Learning 1 · Part 1: Vision

Entrepreneurs Are Everywhere

The idea

Ries defines a startup as a human institution designed to create something new under extreme uncertainty. That includes teams inside large companies.

Example

A new product team in a big firm is a startup in this sense.

Takeaway

Apply startup thinking wherever you're creating something new.

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Learning 2 · Part 1: Vision

Entrepreneurship Is Management

The idea

Startups need management, but a different kind, built for uncertainty rather than for executing known plans.

Example

Detailed five-year plans rarely survive contact with real customers.

Takeaway

Manage for learning, not just for execution.

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Learning 3 · Part 1: Vision

Validated Learning

The idea

The real progress of a startup is learning what customers actually want, proven with evidence, not just opinions.

Example

Ries describes how his company IMVU learned customers didn't want a feature it had worked hard to build.

Apply it

Measure progress by what you've learned, backed by data.

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Learning 4 · Part 1: Vision

Run Experiments

The idea

Treat each product idea as an experiment to test a hypothesis.

Example

Zappos's founder tested demand by photographing shoes in local stores and posting them online before holding any stock.

Apply it

Test the riskiest idea cheaply before building fully.

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Learning 5 · Part 2: Steer

Leap-of-Faith Assumptions

The idea

Every plan rests on two big assumptions: the value hypothesis (does it deliver value?) and the growth hypothesis (how will it spread?).

Example

Assuming finance teams will adopt a new tool because it saves time; testing whether they actually do.

Takeaway

Identify your biggest assumptions, and test them first.

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Learning 6 · Part 2: Steer

The IMVU Lesson

The story

At IMVU, Ries's team spent months building an add-on to existing instant-messaging apps. Customers didn't want it. They had built something nobody asked for.

Takeaway

Learn what customers want before building it.

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Learning 7 · Part 2: Steer

Get Out of the Building

The idea

Founders should talk to real customers early, rather than relying on assumptions in the office.

The evidence

Visiting users at work reveals problems no survey would.

Takeaway

Go and see customers directly.

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Learning 8 · Part 2: Steer

The Minimum Viable Product

The idea

An MVP is the simplest version that lets you start learning with the least effort. It isn't the smallest product, but the fastest route to learning.

Example

Dropbox tested demand with a demo video before the product was finished, and sign-ups surged.

Apply it

Build just enough to learn, then improve.

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Learning 9 · Part 2: Steer

The Dropbox Video

The story

Before the product was ready, Dropbox posted a short demo video. Sign-ups for its beta waiting list jumped overnight, testing demand without building everything first.

Try this

Find the cheapest way to test whether people want what you plan to build.

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Learning 10 · Part 2: Steer

Concierge and Manual MVPs

The idea

Sometimes the best MVP is doing the service by hand for a few customers.

Example

A meal-planning startup served its first customers personally before automating anything.

Takeaway

Do it manually first to learn what to automate.

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Learning 11 · Part 2: Steer

Zappos Tests the Idea

The story

Zappos' founder tested online shoe sales by photographing shoes in local stores and buying them at full price when orders came in.

Takeaway

Prove the demand by hand before automating anything.

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Learning 12 · Part 2: Steer

Build, Measure, Learn

The idea

The core loop: build something, measure how customers respond, learn, and repeat. Speed through the loop is the key advantage.

Example

Releasing small updates and studying usage each week.

Takeaway

Shorten your feedback loop.

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Learning 13 · Part 2: Steer

Innovation Accounting

The idea

Startups need a way to measure progress before revenue: set a baseline, tune the engine, then decide whether to pivot or persevere.

Example

Tracking whether each change improves customer retention.

Apply it

Define how you'll measure progress before you start.

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Learning 14 · Part 2: Steer

Vanity vs Actionable Metrics

The idea

Vanity metrics, like total sign-ups, look good but don't guide decisions. Actionable metrics show cause and effect.

Example

Rising total users can hide the fact that few new users stay.

Apply it

Track metrics that tell you what to do next.

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Learning 15 · Part 2: Steer

Cohort Analysis

The idea

Look at groups of customers who joined at the same time, to see whether changes actually improve behaviour.

Example

Comparing this month's new users with last month's shows whether the product is improving.

Takeaway

Compare groups over time, not just totals.

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Learning 16 · Part 2: Steer

Split Testing

The idea

Test two versions with different groups to learn which works better.

Example

Testing two onboarding emails to see which leads more users to complete setup.

Takeaway

Let experiments, not opinions, settle debates.

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Learning 17 · Part 2: Steer

Pivot or Persevere

The idea

When experiments show the strategy isn't working, change course while keeping what you've learned. Ries describes many types of pivot.

Example

A product built for one customer group finds its real market in another.

Takeaway

Regularly ask: should we pivot or persevere?

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Learning 18 · Part 2: Steer

Runway Is Pivots Left

The idea

A startup's real runway is how many pivots it can still make, not just how many months of money it has.

Example

Faster learning means more chances to find what works.

Apply it

Learn faster to give yourself more chances.

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Learning 19 · Part 3: Accelerate

Work in Small Batches

The idea

Small batches reveal problems sooner and allow faster learning. Ries's example: stuffing envelopes one at a time can be faster than doing each step in bulk.

Example

Releasing small updates often instead of one big release a year.

Takeaway

Work in small batches to learn faster.

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Learning 20 · Part 3: Accelerate

Engines of Growth

The idea

Ries describes three engines of growth: sticky (keeping customers), viral (users bringing others) and paid (buying customers profitably).

Example

A subscription business focuses on retention; a social app on referrals.

Takeaway

Know which engine drives your growth, and focus on it.

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Learning 21 · Part 3: Accelerate

The Five Whys

The idea

When something goes wrong, ask “why?” five times to find the root cause, and invest in a fix proportional to the problem.

Example

A failed release traced back to missing training for a new team member.

Apply it

Find root causes, and fix them proportionately.

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Learning 22 · Part 3: Accelerate

Protect Innovation Inside Companies

The idea

Large companies can innovate by giving teams a protected space with clear limits, their own metrics and freedom to experiment.

Example

A small team allowed to test new ideas without disrupting the core business.

Takeaway

Create safe spaces for experiments.

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Learning 23 · Part 3: Accelerate

Reduce Waste

The idea

The lean startup aims to cut the biggest waste of all: building things nobody wants.

Example

Testing demand before building saves months of wasted effort.

Apply it

Before building, make sure someone wants it.

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All 23 learnings complete

That’s all 23 learnings.

Every plan is a set of assumptions. Which of yours could you test this week?

Abhay Kumar JaiswalFCA · PMP® · Workday Financeabhayjaiswal.com
Summaries in my own words. Read the book for the full stories.
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Summaries are written in my own words for learning. Read The Lean Startup by Eric Ries (2011) for the full stories. More Books in Bytes