Demand validation research
Before committing engineering or media spend, validate whether a segment has the problem, how acute it is, and what they're currently doing about it.
Diaform is the AI interviewer behind your market research. You set the research questions, send the interview link to your customers, prospects, or panel — and Diaform runs every 1:1, probes unmet needs and buying signals
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Most market research tools force a trade-off between speed and depth. Panel providers are fast but shallow — you get demographic cuts and Likert scales, not motivation. Agencies are deep but slow — eight weeks and a five-figure invoice for a deck the team already half-assumed.
Diaform is an AI market research tool built for teams who want to run their own research without the agency timeline. You frame the study, bring the audience (your customers, your prospects, or a panel you've recruited), and Diaform conducts the interviews — structured, moderated 1:1 conversations running in parallel and synthesized the moment each session ends.
Checking boxes tells you who your respondents are. It doesn't tell you why they'd buy, what they compared you to, or what stopped them last time. The strategic question always needs the why.
By the time a traditional market research engagement produces its final report, the product is already in review cycles and the campaign has been locked in. Insight arriving post-decision is decoration.
If the AI isn't conducting the interview — probing, adapting, following up — it's just a chatbot wrapping a Google Form. The data quality is the same.
You design the study and recruit the audience. Diaform moderates the conversation and produces the synthesis.
The AI is the interviewer. It conducts a structured conversation, probes vague answers, and adapts to what each participant actually says. The synthesis comes from real research, not pattern-matching on a survey.
Run research against your current customers, your prospect list, your free tier, your beta, or a panel you purchased. Upload product briefs and market context so the AI interviews in your vocabulary.
Participants can speak, not type. Voice conversations unlock richer, more candid responses — especially for brand, positioning, and sensitive purchase-motivation questions.
Every study returns a synthesized brief: clustered themes, objections, opposing views, the strongest quotes, and the buying signals that actually moved respondents.
Run market research in your customers' native languages. The AI matches tone and follow-up style; summaries come back in English for your global team.
Every study produces a shareable brief your strategy team can walk into a review with. No pasting quotes into slides, no Tuesday-night synthesis sprints.
The AI runs a jobs-to-be-done-style interview with a target customer — capturing unmet needs, switching triggers, and price sensitivity as they come up.
Interview Questions
You define the base questions.
Diaform handles follow-ups automatically.
A lightweight flow that fits into a normal product week.
What do you need to know — demand, positioning, pricing, jobs-to-be-done, brand perception? Write the question and a few probes. The AI uses this as its guide.
Upload product briefs, competitor notes, pricing, and any positioning documents. The AI references them mid-interview to keep the conversation grounded.
Email your customer list, post to a beta community, paste it in a panel recruitment tool, or drop it in-product. Every participant gets a private 1:1 session.
As sessions complete, the AI builds a rolling brief: top themes, objections, buying signals, and the strongest quotes. By week's end you have a ready-to-share document.
Before committing engineering or media spend, validate whether a segment has the problem, how acute it is, and what they're currently doing about it.
Run structured interviews against your pricing tiers. The AI probes reference points, decision gates, and objections — not just 'would you pay $X'.
Understand how your market describes your category, who they consider alternatives, and where your positioning actually lands.
Probe brand associations, recall, and category fit with open-ended prompts. The AI captures the language your market uses — the language your copy should match.
Reconstruct the trigger, the consideration set, the decision, and the objections overcome. Jobs-to-be-done interviews at the scale of a survey.
Before entering a new vertical, run structured exploratory research with target customers. The AI probes pain points, alternatives, and buying behavior before you commit.
AI market research is the practice of using AI to conduct market research — not just analyze survey results. You design the study and bring the audience; a trained AI moderator runs 1:1 interviews with each participant, asks follow-ups, probes motivation, and synthesizes themes. The result is qualitative market research at a volume and speed that used to require an entire agency.
For structured research questions (demand, positioning, pricing, JTBD), AI-moderated interviews are highly accurate and often more consistent than human moderators across large studies. For exploratory research into ambiguous territory, human moderators still have the edge. Most teams use AI research for weekly directional decisions and reserve human-led work for bet-the-company calls.
Demand validation, pricing and willingness-to-pay, jobs-to-be-done interviews, buying journey research, competitive positioning, brand and category perception, new segment exploration, and voice-of-customer for messaging. Anything that would normally be a structured interview can be conducted by the AI.
Yes. Diaform supports 30+ languages natively. The AI interviews each participant in their own language, matching tone and follow-up style. Session summaries are produced in English so your team can synthesize globally in one place.
You bring the audience. Most teams use Diaform against their current customers, their prospect list, their beta community, or a panel they've purchased elsewhere. The link-based approach means any channel works — email, in-app, Slack, or a partner panel.
Yes, and this is the key distinction. AI summarization tools read transcripts you already collected. AI market research tools like Diaform conduct the interviews you've designed — probing, following up, adapting in real time. You end up with richer data because the AI moderates each conversation live, not because it processes a transcript after the fact.
Each study produces a synthesized brief with themes, objections, quotes, and sentiment that's shareable as a link. Stakeholders can filter and drill into any theme; researchers can export structured data for further analysis.
Dive into the other ways Diaform can power your research.
Validate product, creative, and messaging concepts with AI-moderated reactions and structured objections.
Continuous discovery interviews, JTBD, and usability research with the same AI moderator.
Replace static market research surveys with dynamic conversations that ask the follow-up.
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.
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