📖 Book
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Paid
Beginner
Why we picked it
The single best thing ever written on customer conversations. It teaches you to ask about the customer's life and past behaviour, not your idea, so you can't be lied to. If a founder reads one thing before talking to a single customer, it's this.
From
momtestbook.com
by Rob Fitzpatrick
~130 pages
- Talk about their life, not your idea.
- Ask about specifics in the past, not opinions about the future.
- 'That's so cool, I'd totally buy it' is a compliment, not data, dig for commitment and evidence.
Open
momtestbook.com →
✍️ Essay
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Free
Beginner
Why we picked it
The definitive essay on where good ideas come from: notice problems you personally have, don't force it. Use it as the lens for judging whether your idea is a real problem or a solution in search of one.
From
paulgraham.com
by Paul Graham
~20 min read
- Live in the future and build what's missing.
- The best ideas look like bad ideas at first (schleps and hard-to-explain).
- Start with problems you have, in a domain you actually know.
Open
paulgraham.com →
📖 Book
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Paid
Advanced
Why we picked it
The foundational text of customer development, 'get out of the building' started here and became the backbone of the Lean Startup. Steve Blank's own site is the primary source.
From
steveblank.com
by Steve Blank
~370 pages
- The biggest risk isn't building wrong tech, it's building something nobody wants
- Customer discovery: test your hypotheses with real customers before scaling
- Separate customer development from product development as parallel processes
- Search for a repeatable business model before you try to execute one
Open
steveblank.com →
✍️ Essay
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Free
Intermediate
Why we picked it
Entering an unfamiliar industry means you cannot see the walls and dead ends that veterans already know. Dixon explains that a good founder holds a map of who tried this before, what happened, and why, and that this map is what real domain knowledge looks like. It gives you a concrete goal for your research: build the maze map through history, analogy, and direct experience.
From
cdixon.org
by Chris Dixon
short read
- Value is in the map of the terrain, not the spark of the idea
- Learn the maze through history, analogy, theory, and direct experience
- Knowing who already failed at this and why is domain knowledge
Open
cdixon.org →
📄 Article
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Free
Intermediate
Why we picked it
This is the best method for the exact job of learning an industry's language when you cannot yet get face time with people in it. Hoy shows how to lurk in the forums, reviews, and comment threads where your audience already talks, and mine their real words, pains, and workarounds. Do this and you will start speaking the vocabulary before anyone can tell you are new.
From
Stacking the Bricks (Amy Hoy)
by Amy Hoy
video walkthrough
- Find the watering holes where your audience already complains in public
- Collect their exact words, pains, and existing workarounds
- Observation at scale can precede one-on-one interviews
Open
stackingthebricks.com →
✍️ Essay
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Free
Intermediate
Why we picked it
The essay that put 'product-market fit' into the startup vocabulary. Read it for the gut-level description of what PMF feels like when it's happening vs when it isn't, the intuition behind the metrics.
From
pmarchive.com
by Marc Andreessen
~15 min read
- Market matters most; a great market pulls product out of a startup.
- You can feel PMF, customers buy as fast as you can ship.
- Before PMF, do whatever it takes to get there; nothing else counts.
Open
pmarchive.com →
📄 Article
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Free
Intermediate
Why we picked it
Aulet, who runs MIT's entrepreneurship center, lays out how to do primary research properly: observe, listen, and interact with potential customers instead of trusting reports written by others. For an outsider this is the disciplined version of getting up to speed, understanding the customer rationally, emotionally, and economically. It gives structure to what could otherwise be aimless coffee chats.
From
VentureWell (Bill Aulet, MIT)
by Bill Aulet
medium read
- Go observe and listen in person, do not lean on secondary reports
- Understand the customer rationally, emotionally, and economically
- Inquiry, not advocacy, keep asking rather than selling
Open
venturewell.org →
📖 Book
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Paid
Intermediate
Why we picked it
The standard modern playbook for keeping discovery continuous so roadmap decisions stay grounded in real customer input, not one-off research. Exactly what founders need to stay close to users while shipping.
From
Product Talk
by Teresa Torres
~240 pages
- Start from a clear desired outcome.
- Interview customers weekly to surface opportunities.
- Use an opportunity solution tree to visualize and align your decisions.
Open
producttalk.org →
📄 Article
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Free
Intermediate
Why we picked it
Turns the vague feeling of product-market fit into a number you can move. Ask users how they would feel if they could no longer use the product, then track the share who say 'very disappointed'. Under 40 percent means keep working. A test you can run on an idea long before you scale it.
From
First Round Review
by Rahul Vohra
~20 min read
- The 40 percent 'very disappointed' benchmark for product-market fit.
- Segment to your high-expectation customers and build for them.
- Make the fit score a metric you improve quarter by quarter.
Open
review.firstround.com →
📄 Article
✓ Link checked
Free
Intermediate
Why we picked it
Twenty founders describe the pivotal moments on their path to fit, and a recurring theme is why the right founder for the right problem outlasts everyone else. It's the real-world evidence that 'why you' is a competitive advantage, not a pitch-deck cliche.
From
First Round Review
by First Round Review
~25 min read
- Founders with genuine fit push through the long pre-fit slog that breaks others.
- Earned insight and obsession beat a polished team with no stake in the problem.
- The path to fit is rarely linear; conviction from real fit is what sustains it.
Open
review.firstround.com →
📖 Book
✓ Link checked
Paid
Beginner
Why we picked it
Savoia, who led early Google AdWords, argues most ideas fail because nobody wanted them, and teaches pretotyping: cheap experiments that generate your own data on real demand before you build. You get concrete tactics like the fake-door and the mechanical-turk test, plus a way to demand skin-in-the-game commitment rather than opinions. Practical for anyone who wants a test that can prove them wrong.
From
Alberto Savoia
by Alberto Savoia
~250 pages
- Collect your own data on real behaviour instead of trusting opinions
- Pretotype the idea to test demand before you build a prototype
- Measure commitments like a signup or a payment, not verbal enthusiasm
Open
albertosavoia.com →
