Founders don't want twenty AI interviews. They want to know why deals stall, which competitor keeps winning, and whether their message actually moves a buyer. This page routes your question to the method that answers it — including away from us.
A seed founder asks who the buyer even is. A Series B founder already knows, and asks why they're losing them. Same topic — a completely different research need.
Different questions, different instruments. The rest of this page is how we answer them.
Nearly every question above falls into one of two kinds, and that — not budget, not timeline — is what picks the method. One needs breadth. The other needs depth.
When the answer lives in what repeats — across thirty, fifty, a hundred buyers. You're mapping a space, not reading one buyer.
When the answer is in what a buyer won't say directly. An expert moderator knows when one sentence is worth twenty more minutes.
Most real engagements blend both. AI-moderated breadth to find the pattern, then expert depth on the one thing the pattern surfaces that you didn't expect.
Not a quality ladder — one method isn't better than another. They represent different things, so each answers a different kind of question.
Population-level signal. Reflects the distribution of many buyers who fit that profile — per Synthetic Users, the platform we run on.
Sample-level validation. Real people, consistent moderation, enough of them that the pattern is countable.
Individual-level depth. Nuance, contradiction, and the follow-up question you couldn't have scripted.
It's about what you're trying to learn. Each method counts something different — which makes each one exceptionally good at some questions, and the wrong tool for others. So we publish what each is for, and what it should never be used for.
Simulated interviews with behavioral archetypes. Run on the Synthetic Users platform. This is the method behind both of our published reports.
Real buyers, structured discovery, AI moderation. Each interview is one real customer — at scale, with consistent methodology across the panel.
Human-led, deeply probed conversations with senior buyers. One interview is one person, fully explored — irreplaceable when nuance and follow-up matter most.
Most teams don't pick one. They run synthetic to build the instrument and find where demand probably lives, then validate the surviving hypotheses with real buyers using the same guide. The Sprint's screener and interview guide exist precisely so the next study costs less and asks better questions.
Most Jobs-to-Be-Done practice is switch interviews and nothing else. Five of these are moments on a demand timeline; the sixth sits underneath all of them.
Why people who have the struggle still chose to stay put — and what would have to change for them to act. In B2B this is usually your largest competitor.
What actually drove someone to fire what they were using and hire you instead — the trigger, the timeline, and why you won.
How customers onboard, where they hit friction, and what sits between buying and actually realizing the value they bought.
Why customers upgrade, add seats, or buy the second product — and what makes deeper investment feel obvious rather than risky.
Why customers stopped, and when the decision was actually made — usually months before the usage data showed it.
The progress customers are trying to make — functional, emotional, and social. Not a moment on the timeline. The thing that defines the market the other five happen inside.
Any engagement is one interview type, run by one method. No-decision is the hardest recruit — those people aren't customers and aren't in your CRM — which is where synthetic earns its keep before you spend panel budget. Firing resists scale almost regardless of budget; people who left are guarded, and the useful material is emotional.
The failure mode in customer research isn't asking bad questions. It's asking different questions in every interview — so twelve conversations each cover a different six things and nothing lines up. Every method I run, synthetic through expert, works off the same underlying instrument. That's what makes the findings comparable.
Every element is accounted for in every interview — including the ones buyers don't volunteer.
Interviews that touched the same twelve elements code into one finding, not twelve anecdotes.
The same deck runs across synthetic, AI-moderated, and expert — only the emphasis changes.
Decisions rest on evidence gathered the same way every time, so they compound rather than reset.
The twelve elements cover the full arc of a customer's progress — from first thought through the triggering event, deciding, hiring, and continuing use — including the resisting forces most instruments skip. Outcome-driven approaches quantify the desired end state well. This maps the whole journey to it, which is where the barriers live.
The same 62-card method, taught as a cohort course — for founders and teams who'd rather build the muscle in-house.
Different methods. Same instrument. Comparable evidence. Better decisions.
Choosing the right method is most of the expertise — it's not something you're supposed to already know. Most founders arrive somewhere in here:
No customers to interview yet — but decisions can't wait for them.
Founder-led sales worked; now it has to work without the founder in the room.
Past the Series A, competitors have caught up, and you need to know what holds.
Not knowing which method fits is itself the problem worth solving. If the answer is that you don't need research yet, that's a fine outcome for a fifteen-minute call.