Panel data is demographic, not motivational
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.
Diaform is the AI agent behind your market research. You set the research questions, send the conversation link to your customers, prospects, or panel, and Diaform runs every 1:1, probes unmet needs and buying signals
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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 conversation, probing, adapting, following up, it's just a chatbot wrapping a Google Form. The data quality is the same.
The AI runs a jobs-to-be-done-style conversation with a target customer, capturing unmet needs, switching triggers, and price sensitivity as they come up.
Static forms accept vague answers. Diaform spots them and asks intelligent follow-up questions to uncover the root cause.
Real conversations can unfold in infinite, unpredictable directions — too many to map into a logic tree. Diaform doesn't build one; it just responds to each answer naturally, the way a person would.
No login walls or scheduling links. Your audience starts instantly in their browser. No signup required. Works on any device.
You design the study and recruit the audience. Diaform conducts the conversation and organizes each completed response.
The AI is the researcher. It conducts a structured conversation, probes vague answers, and adapts to what each participant actually says while preserving the full transcript.
Run research with your current customers, prospect list, free tier, beta, or a separately recruited panel. Upload product briefs and market context so the AI uses your vocabulary.
Participants can speak, not type. Voice conversations unlock richer, more candid responses, especially for brand, positioning, and sensitive purchase-motivation questions.
Every completed response includes per-question summaries, sentiment, answer confidence, optional notable quotes, and the original transcript. Use search and export for study-level analysis.
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.
Filter and search completed responses in the dashboard or export them to CSV when your strategy team needs a study-level analysis or presentation.
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-conversation 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, review each structured response, summary, sentiment label, answer confidence, optional notable quote, and transcript. Export the dataset for further analysis.
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 conversations 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 conversations 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.
The practical details behind setting up, running, and scaling this kind of research with Diaform.
AI market research can use an AI agent to conduct one-to-one conversations, not only analyze a survey after collection. You design the study and bring the audience; the researcher asks contextual follow-ups and returns the transcript with a structured response for human analysis.
Explore the other ways Diaform can turn a static request for feedback into a useful conversation.
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