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.
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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.
All 23 learnings · one per slide
Eric Ries, in bytes
23 key learnings on building products under uncertainty: build, measure, learn, and know when to pivot.
Learning 1 · Part 1: Vision
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.
Learning 2 · Part 1: Vision
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.
Learning 3 · Part 1: Vision
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.
Learning 4 · Part 1: Vision
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.
Learning 5 · Part 2: Steer
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.
Learning 6 · Part 2: Steer
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.
Learning 7 · Part 2: Steer
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.
Learning 8 · Part 2: Steer
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.
Learning 9 · Part 2: Steer
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.
Learning 10 · Part 2: Steer
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.
Learning 11 · Part 2: Steer
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.
Learning 12 · Part 2: Steer
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.
Learning 13 · Part 2: Steer
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.
Learning 14 · Part 2: Steer
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.
Learning 15 · Part 2: Steer
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.
Learning 16 · Part 2: Steer
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.
Learning 17 · Part 2: Steer
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?
Learning 18 · Part 2: Steer
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.
Learning 19 · Part 3: Accelerate
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.
Learning 20 · Part 3: Accelerate
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.
Learning 21 · Part 3: Accelerate
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.
Learning 22 · Part 3: Accelerate
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.
Learning 23 · Part 3: Accelerate
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.
All 23 learnings complete
Every plan is a set of assumptions. Which of yours could you test this week?
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