Diaform runs your discovery interviews for you, Mom-Test discipline, verbatim quotes, theme clustering. Early-stage discovery is the highest-leverage research a founder can do, and the only thing stopping you doing more of it is calendar math. Send a link instead.
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Discovery interviews are the highest-leverage research in 0-to-1 product work, they're how you find out whether the problem you think exists actually does, and how badly someone wants it solved. The catch: doing them well takes 45 minutes a call, plus recruiting, plus scheduling, plus the synthesis week at the end. Most founders run out of energy at twenty.
Diaform fixes the bottleneck. The AI runs each interview the way a disciplined founder would, asking about the past instead of the hypothetical, probing for the moment the problem hurt, capturing the exact words people use. You write the questions once, share one link, and review synthesized themes and quotes when it's done. Discovery becomes something you run continuously, not a phase you survive.
Forty-five minutes per call, plus recruiting, plus the no-shows. By interview fifteen you're tired, by twenty you're cutting corners, and the next thirty calls, the ones that would have shown the real pattern, never happen.
"Would you use a tool that did X?" gets you a polite yes and zero signal. The Mom Test rule is to ask about the past, not the hypothetical, but under time pressure most founders drift into pitching, and the interview turns into validation theatre.
Recordings, transcripts, sticky notes, a Notion doc that nobody reads. The insight is in there somewhere, but extracting it takes longer than the interviews did, and by the time it's done, the team has moved on.
The AI is briefed on Mom-Test-style interviewing: ask about the past, not the hypothetical; avoid leading questions; never pitch. It stays disciplined across every interview, including the ones where you wouldn't.
When someone mentions a problem, the AI digs in: when did it last happen, what did you do about it, how much did it cost you in time or money? That's where the real signal is, and what most founder-led calls skip.
Every interview comes back with the exact words your customer used, the lines you can drop straight into a deck, a landing page, or a pitch. No paraphrasing, no founder gloss.
Across 30 interviews you get the recurring problems, the language patterns, and the segments that responded most strongly. The synthesis week disappears.
Voice answers are 2-3× longer and carry the frustration, the resignation, the 'oh god yes' moments that text can't. You hear when something genuinely hurts.
Drop the link in a LinkedIn post, a Twitter DM, a cold email, a community thread. People take the interview at 11pm on a Sunday. No Calendly back-and-forth.
Frame them around the problem, not the solution, when did this last happen, what did you try, what did it cost. Half an hour of writing replaces every future interview prep.
If you already have a deck, mockups, or a one-pager, drop them in. The AI references them only when relevant and never leads with them. For pure problem-discovery, skip this step.
Cold outreach, warm intros, community posts, a checkout email, wherever your potential customers are. Each respondent launches their own interview when it suits them.
Open the dashboard and see the recurring problems, the verbatim quotes, the sentiment by segment. The week of synthesis is already done.
Before a single line of code, talk to 50 people in the segment you think you're serving. Find out if the problem is real and how they describe it.
The classic Lean Startup discovery loop, scaled. Run a batch of 30 interviews in a week instead of a quarter, and stay close to customers as you build.
Before committing the engineering time, ask the people who'd use it whether the problem the feature solves actually shows up in their week.
Talk to recent buyers and lost deals about the moment they decided. Verbatim quotes about why you won, and the objections you didn't see, feed straight into sales.
When someone leaves, send the discovery link instead of a survey. Find out what changed in their world, not just which checkbox they ticked on the way out.
Sharpen who your real customer is by interviewing across segments, or run discovery for a client to ground their next product bet in real conversations.
A survey collects answers; a discovery interview chases the story. Diaform probes when someone mentions a problem, when did it last happen, what did you do, how much did it cost. That's the Mom Test technique, and it's what separates discovery from a feedback form. You get verbatim quotes and emotional weight, not a Likert scale.
The Lean Startup rule of thumb is 20-30 per hypothesis to start seeing patterns, and 50+ before you commit serious engineering. Most founders never get past 20 because of the time cost. With async discovery you can run 50 in a week and keep going, the diminishing-returns curve flattens out much later than people expect.
Yes, and often more candidly than to a founder, because there's no pressure to be polite. The voice interface feels like a real conversation, and respondents tend to give 2-3× longer answers than they would in a text survey. People who'd never book a 45-minute Zoom will happily spend 10 minutes in an async interview.
Yes. Every interview surfaces the verbatim quotes, tagged by theme and sentiment. Copy them straight into a pitch deck, a landing page, a board update, or a feature spec, they're already in your customer's words.
That's often the ideal case for discovery, you want unbiased problem signal, not feature reactions. The AI is happy to run pure problem-discovery interviews where the product is never mentioned. If you do want to share context, upload it and the AI will reference it only when relevant.
Absolutely. Founders use Diaform for buyer interviews, ICP refinement, and category research, pasted into LinkedIn DMs, cold emails, and warm intros. Async discovery often outperforms calendar-based for senior buyers who can't spare 45 minutes but will spend 10 on their phone.
It replaces the ones you weren't going to do. Most founders should still run a handful of live interviews to stay calibrated, but for the next 80, Diaform captures the same depth without the calendar tax.
Dive into the other ways Diaform can power your research.
Run JTBD-style interviews that map the job, the struggling moments, and the hire/fire criteria, with the same async discovery flow.
Once discovery has shaped a concept, validate the specific framing, pricing, and positioning before you commit to building.
The broader research stack, moderated-quality interviews across discovery, usability, and ongoing product work, in one link.
Stop guessing why users leave. Start an automated interviewer in seconds and get the deep insights of a Zoom call at the scale of a survey.
14-day free trial · No demo required
