Market Research at Warp Speed
Validate Your Market with AI in Minutes, Not Months.
This was a past event
Workshop recap
Validate Your Market with AI in Minutes, Not Months.
This session took on a painful truth: most founders skip real market research because it feels slow, then build for a year on a hunch. We showed how AI compresses the grunt work — market sizing, competitor teardowns, trend synthesis, interview analysis — from months into an afternoon, so there is no excuse left to fly blind.
The equal-and-opposite warning ran through the whole session: AI makes it just as fast to confirm a bias as to test one. Speed is only an advantage if you point it at honest questions.
Size the market without the spreadsheet theater
We walked through using AI to build a defensible top-down and bottom-up market estimate in minutes, then — more importantly — how to sanity-check its assumptions instead of trusting a confident number. The output founders need is not a giant TAM slide; it is a clear view of whether enough of the right people have this problem badly enough to pay.
Competitor and trend teardowns at speed
Next we used AI to synthesize the competitive landscape and adjacent trends: who is solving this, how, where the gaps and the over-served segments are, and which way the wind is blowing. The trick is to ask for evidence and sources, not summaries, so you can verify rather than absorb a plausible-sounding narrative.
Let AI analyze interviews, not replace them
The highest-signal research is still talking to real humans — but AI transforms the analysis. We showed how to feed interview transcripts in and pull out clustered themes, contradictions, and the exact phrases customers repeat. You still do the interviews; AI does the pattern-matching overnight, so you refine your next questions faster.
Key takeaways
- AI removes the "research is too slow" excuse — do the work in an afternoon, not a quarter.
- A market estimate's value is in its assumptions; sanity-check them, don't trust the number.
- Ask AI for evidence and sources, not tidy summaries you can't verify.
- Keep doing real interviews; let AI cluster the transcripts and surface the patterns.
- Point the speed at honest questions — it's just as easy to confirm a bias fast.
Frequently Asked Questions
Can AI really replace talking to customers?
No — and the session was explicit about that. AI accelerates the analysis; the signal still comes from real conversations.
How do I stop AI from making things up?
Demand sources and evidence, cross-check the numbers, and treat every confident claim as a hypothesis until verified.
Is a huge TAM number the goal?
No. The useful output is whether enough of the right people have the problem badly enough to pay — not a vanity market-size slide.