Gavel Playbook · Research

The Talk-to-Users Playbook. Seven interview frameworks from the people who wrote the books.

Customers can't tell you what they want. But they can tell you what they tried, what made them quit, and what they switched to. Seven operators who literally wrote the discovery playbooks on how to ask the questions that get you the truth instead of a polite yes.

Frameworks
7 cited methods
Sources
2 channels
Read time
9 minutes
Updated
June 2026

Every founder hears the advice and nobody tells them how. Talk to your users. So you do, and you walk away with a notebook full of that's cool and I'd totally use that, and six months later you have shipped the thing and nobody pays. The story repeats in r/startups every week. One founder spent around ten thousand dollars building an app, got about fifty downloads and zero profit, and only afterward realized the friendly feedback was never a buying signal. The trap is not talking to customers. It is asking the kind of question that can only be answered with a polite lie.

This isn't a generic list of fifty questions. It is the opposite. Seven operators who actually wrote the discovery playbooks, Bob Moesta on Jobs to Be Done, Teresa Torres on continuous discovery, Michael Margolis on the GV sprint, Eric Migicovsky on the YC canon, each handing you one specific way to ask better. They share one spine: ask about concrete past behavior, never the hypothetical future. And they disagree where it counts, which is the point. Cheap AI building only raises the stakes, because false validation signals now spread faster than ever. The takeaway is never don't talk to customers. It is ask better questions.

"Their role is to describe problems, not engineer solutions."

Eric Migicovsky, Y Combinator

The Frameworks

Seven ways to ask. Each one cited to the chapter it came from.

01

Eric Migicovsky · Y Combinator

Ask about their life, never pitch your idea

Eric Migicovsky founded Pebble and now teaches the canonical Y Combinator guide on how to talk to users, and the whole method starts before the product exists: first find out if the problem is even real. The questions that get you there are about the user's life, not your idea. Tell me how you do this today. What is the hardest part about it.

When did it last go wrong. The pitfalls are exactly the questions founders love most. Leading questions that fish for a yes, feature questions that ask would you use this, yes-or-no questions, and the worst one, asking the user to design your solution. Their job is to describe the problem in their own words.

The moment you hand them the solution, you have stopped learning and started selling, and the signal goes dark.

Steal it

Run five interviews this week where you are banned from saying your product's name. Ask only how they do it today and what the hardest part is. Write down the verbs they use, not the features they request.

02

Bob Moesta · Lenny's Podcast

Interview the switch, not the wish

Bob Moesta co-created Jobs to Be Done, and his core move is to interview the switch instead of the wish. People do not buy products, they hire them to make progress, and the only way to see that progress is to study someone who actually moved. Moesta maps four forces on every switch: the push of the struggling moment they were in, the pull of the new thing, the anxiety of changing, and the habit of staying put. For a customer to switch, push plus pull has to outweigh anxiety plus habit.

Stated preference cannot show you any of that. He recommends interviewing people who recently made a switch and reconstructing the causal story, even borrowing techniques from criminal interrogation to get past the polished surface answer to what really happened.

Steal it

Find three people who recently switched to or away from a tool like yours. For each, reconstruct the push, the pull, the anxiety, and the habit that moved them. The switch is the data; the wish is noise.

03

Teresa Torres · Lenny's Podcast

Collect specific past-behavior stories, never hypotheticals

Teresa Torres wrote the book on continuous discovery, and her interviewing rule is blunt: collect specific stories about past behavior, never ask hypotheticals. The question would you use this invites a polite lie. The question tell me about the last time you faced this gets you a real timeline you can mine. She runs interviews with curiosity rather than a rigid script, following the user's actual experience instead of marching through a list of questions, because the deep insight almost always lives in a detail the shallow, question-heavy protocol would have skipped past.

The discipline is not the question list. It is refusing to accept an answer about the imagined future when a story about the real past is sitting right there.

Steal it

Replace every would-you question with a when-did-you-last question. Walk the person through the timeline of the last real time they hit the problem, minute by minute, until the story tells you what they actually did.

04

Michael Margolis, GV · Lenny's Podcast

Recruit a screener, then run a watch party with written predictions

Michael Margolis runs user research at GV and has watched founders burn months arguing about who the customer even is. His fix is a recruiting-and-interviewing system that turns discovery into something a team can run in a day. Write a screener and recruit five or six real participants through a platform built for it, rather than grabbing whoever is convenient. Interview with humble inquiry and genuine curiosity, anchored on past behavior over predictions.

Then the part most teams skip: the watch party. Get the whole team observing the same interviews live, and have everyone write down predictions beforehand. The predictions surface the team's hidden biases, and watching the same person fail to care ends the internal debate on its own, because everyone saw it at once.

Steal it

Recruit five or six real users through a screener, then get your whole team to write down predictions before the interviews and watch them live together. Score the predictions afterward to see what the team got wrong.

05

Gustaf Alströmer · Y Combinator

Kill the overconfidence trap; remove the layers between you and the user

Gustaf Alströmer scaled growth at Airbnb before becoming a YC partner, and the trap he watches founders fall into is their own certainty. On day one you believe you understand the problem, the customer, and the solution completely. You have to, he says, overconfident foolishness is part of starting anything ambitious. The error is staying there.

The founders who learn the most flip fast, from we have it figured out to maybe we know nothing, and then go talk to people. The lesson underneath the Airbnb, Brex, and Twitch examples he walks through is the same: founders overweight money and complex dashboards when the real unlock is reducing the layers between themselves and the customer. Care about them directly, and the learning accelerates.

Steal it

Write your three core assumptions about the customer on a card today, then go find the person who proves each one wrong. Cut one layer of analytics, support tickets, or middlemen between you and a real user this week.

06

Judd Antin · Lenny's Podcast

Use interviews to validate or challenge intuition, not replace it

Judd Antin ran research at Airbnb and Meta, and he is the contrarian in this lineup. He pushes back on the tropes from both sides. Research is not too slow to matter, and PMs cannot simply do it all themselves in their spare time, but he also refuses to pretend intuition is worthless. Good research validates or challenges a product instinct, it does not replace it.

He even debunks the famous Henry Ford faster-horses quote and the everything-is-obvious-in-hindsight bias that founders use to dismiss talking to users. The takeaway is not to worship interviews or to worship your gut. It is to hold a real intuition, then run the interviews specifically to try to break it, and keep it only if it survives.

Steal it

Before your next round, write down your gut call on the problem. Run the interviews to try to kill it, not confirm it. Keep the intuition only if the past-behavior stories survive contact with it.

07

Oji Udezue, Typeform · Lenny's Podcast

Interview to find a sharp problem, not a vague nice-to-have

Oji Udezue helped build Typeform and Calendly, and his frame raises the bar on what you are even listening for. Genuine, durable growth comes from solving a sharp problem, a pain a customer feels deeply, not a vague nice-to-have that earns a shrug. That is why continuous customer discovery is not optional for him: you weave customer conversations into the daily workflow of the product team, listening constantly to reduce friction and find the sharp edge. A vague problem produces vague interviews and a product nobody talks about.

A sharp problem is the thing word of mouth actually carries, the way Slack spread, so the job of talking to users is to keep cutting until the problem you hear is unmistakably sharp.

Steal it

After your interviews, write the problem in one sentence and rate how sharply it bites on a scale of one to five. If it is below a four for anyone, keep interviewing until you find the version that is.

Read it for your situation

How to use this playbook

Solo founder validating an idea
Start with framework 01 (the YC question bank) and framework 03 (past behavior over hypotheticals). Together they stop you from buying the polite yes that costs founders months and ten thousand dollars.
PM running discovery
Start with framework 02 (Moesta's four forces) and framework 04 (the GV recruit-and-watch-party). The first gets you the causal switch story; the second gets your whole team to see it at the same time.
Team arguing intuition vs research
Bring framework 06 (Antin on validating or challenging the gut) and framework 07 (Udezue on the sharp problem). They settle the real argument: hold an instinct, then interview to try to break it.

Gavel's chat sits on top of all seven. Tell it your stage, your idea, and what your users are actually saying, and it points you at the framework that fits and the exact question to ask next, with the same timestamped citations you just read. Faster than re-listening to five podcasts, and every answer is auditable.

Common founder questions

Frequently asked

What questions should I ask in a customer interview?
Eric Migicovsky's rule is to ask about the user's life, not your idea. Good questions: tell me how you do this today, what is the hardest part, when did it last go wrong. Avoid leading questions, yes/no questions, feature questions, and anything hypothetical. The user's job is to describe the problem, not design your solution.
Why shouldn't I ask customers what they want?
Because stated preference is a weak predictor of behavior. Bob Moesta, co-creator of Jobs to Be Done, interviews people who recently switched products and reconstructs the four forces behind the decision: the push of the old struggle, the pull of the new, the anxiety of change, and the habit of the present. What people actually did beats what they say they want.
How do I validate an idea before I waste months and money building it?
Talk to users before you write code, and interview for past behavior instead of future intentions. Teresa Torres recommends collecting specific stories about the last time someone faced the problem, on a timeline, rather than asking would you use this. A polite yes to a hypothetical is the false signal that costs founders months and real money.
How many customer interviews do I need to do?
Enough to stop hearing new stories. Teresa Torres argues for continuous discovery, a steady cadence of interviews woven into the work, rather than one big upfront batch. Michael Margolis compresses a first read into a single day with five to six recruited participants and the whole team watching live, then keeps learning from there.
Does AI-assisted building make talking to users less important?
It makes it more important. When anyone can ship a working build in a weekend, the cost of building the wrong thing collapses to near zero, so false validation signals spread faster than ever. Cheap building inflates the temptation to skip discovery. The fix is not to stop talking to users; it is to ask better questions about what they actually did.

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