HearQA for Discovery Conversations — Customer Interviews, UX Research, Founder-Led Discovery
Real-time AI prompts for the moment your customer says something interesting and you need the next-best probing question — grounded in your interview guide and the Mom Test.
Get Started FreeCommon Challenges
The customer says something genuinely surprising mid-interview — you know there's a great follow-up question, but in the 3 seconds before you have to respond your brain serves up a generic"can you say more about that"
Asking leading questions accidentally — "so the integration was painful, right?" — when the right move is the open-ended "what happened when you tried the integration?"
Forgetting which JTBD layer you're on (functional / emotional / social) and missing the layer the customer is actually telling you about
Interview-guide drift — by question 6 you've forgotten the actual hypothesis you set out to test, and you're just letting the conversation drift wherever it wants
Multi-stakeholder discovery (e.g., a B2B account where you're interviewing the user and the buyer in sequence) where each conversation needs different probing patterns
How HearQA Helps
Interview-guide grounding
Upload your interview guide, the hypotheses you set out to test, and your JTBD framework (functional / emotional / social columns, or whichever schema you use). HearQA tracks where you are in the conversation against the guide and surfaces the next-most-relevant probing question — so when the customer says something that opens a new thread, you don't lose the original thread you came to test.
Mom-Test discipline in real time
Rob Fitzpatrick's Mom Test rule — never ask if your idea is good; ask about their life — is easy to violate by accident. HearQA flags leading-question patterns in your speech ("would you use…", "how much would you pay…", "is that painful…") and surfaces the open-ended re-framing in real time. Live discipline, not post-call regret.
JTBD-layer detection
When a customer talks about "saving time," they're usually expressing the functional layer of a deeper emotional or social job. HearQA detects which JTBD layer the customer is on (against your uploaded framework) and surfaces the probing question that goes one layer deeper. The result: every interview reaches the underlying job, not just the surface frustration.
Cross-interview pattern recognition
Upload all your prior interview transcripts to the document library. When the current customer raises a theme that already appeared in interviews 3, 7, and 12, HearQA surfaces the prior-interview snippets so you can probe the recurring pattern in real time — turning the current call into the fourth data point on the same hypothesis instead of a one-off.
Practice → Sales Roleplay for discovery rehearsal
Before a high-stakes discovery interview, run Practice → Sales Roleplay with the AI playing the customer's persona (uploaded to the document library). The AI raises real-shape responses (vague answers, polite deflections, opinionated tangents) and scores your follow-ups on Mom-Test discipline + JTBD-layer depth. Three rehearsals; the live interview becomes the fourth.
Key Features for Discovery Conversations
- Real-time tab-audio capture for Zoom / Meet / Teams discovery interviews
- Phone-as-second-screen mode for in-person interviews (most authentic discovery is in person)
- Document RAG over interview guide, JTBD framework, prior-interview transcripts, hypothesis-tracking notes
- Mom-Test leading-question pattern detection — flags violations in real time
- Practice → Sales Roleplay sub-type for discovery rehearsal with AI playing customer personas
- Per-interview session summary auto-extracting customer quotes by JTBD layer + hypothesis confirmation/refutation signals
- Multi-language support — critical for international discovery (8 locales out of the box)
- No detection concern: discovery interviews are open conversations between you and the customer
“I run product discovery for a B2B SaaS in healthcare-data. Every discovery cycle ends with a synthesis problem — 18 interviews, 90 pages of notes, and the patterns are easy to miss when the data lives in your head. I started using HearQA mid-interview to surface JTBD-layer prompts and cross-interview pattern matches. By interview 8 of the cycle, HearQA was showing me "3 prior interviewees said this exact thing about their billing-team handoff" — which I could probe in the live call. Cycle synthesis went from 4 days of post-hoc reading to 4 hours of structured pattern review.”
Senior PM, B2B SaaS (healthcare-data vertical)
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Frequently Asked Questions
Is HearQA appropriate for customer-discovery research?
Yes — discovery interviews are exactly the conversation type where real-time AI assistance pays off, because the value of a discovery call is in the depth of follow-up questions. The customer is the one being asked; you're the one asking. There's no detection concern, no "is this fair" question. Just better follow-ups, more JTBD layers reached, and tighter cross-interview pattern recognition. Many UX research and product-discovery teams now run HearQA in every customer call.
How does this differ from research platforms like Dovetail or Marvin?
Dovetail and Marvin are post-interview synthesis platforms — record, transcribe, tag, and find patterns across your research repository. HearQA is the in-interview live coaching layer: while the customer is still talking, HearQA surfaces the next-best follow-up against your hypotheses. Different problem class. Many research teams use both: HearQA for the live moment, Dovetail/Marvin for cross-cycle synthesis.
Will I miss something the customer says while I'm glancing at AI prompts?
The on-screen prompts are designed for peripheral-vision reading — short phrases ("open-ended re-frame: how did the integration go?" or "functional layer reached; probe emotional next"), not paragraphs. The eye dwell time is under 1 second per glance. Early users report the opposite of what they feared: the AI prompts free up cognitive load that would otherwise be spent on "what should I ask next," so you actually listen better. Test this in a Practice → Sales Roleplay session before a real interview.
Can I upload someone else's research framework (JTBD, design thinking, etc)?
Yes — upload any framework as PDF or markdown to your document library. HearQA grounds its prompts in your specific framework, not a generic one. If you use Bob Moesta's JTBD canvas, Strategyzer's value-proposition canvas, or your team's home-grown discovery template, upload it once and every subsequent interview session uses it as the structure.
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