Use Case · Market Research
Surveys that get answered,
insights that route themselves.
Product and marketing teams use Brieform to run customer research surveys that are short enough to get completed — then ask their AI to read, filter, and summarize responses without touching a spreadsheet.
Why most market research surveys don't get responses worth reading
The typical research survey looks like this: someone exports 40 questions from a previous quarter's template, adds a few new ones, and fires a Typeform link at the mailing list. Response rate: 3%. Of those, half are from people who quit on page two. Of the rest, half are from the wrong segment. You spend more time cleaning the data than learning from it.
The problem isn't the tool — it's that generic surveys don't branch for different respondent types, don't feel relevant to the person filling them in, and don't signal which responses actually matter. The solo founder who's been with you for 3 years should see different questions than the enterprise IT buyer who just signed up last week. A flat survey treats them the same.
Brieform lets you describe your research goals in plain language — "I want to understand why people churned in Q1, with different question paths for freelancers vs. teams" — and builds a branched survey in minutes. Your AI reads the responses and can filter by segment, summarize themes, or surface high-signal answers in natural language.
What a Brieform research survey does
How a Brieform research survey flows
- 1
You share the survey link via email, Twitter/X, Slack community, or in-product modal
- 2
Respondent answers page one — Brieform reads their profile (role, company size, plan) and branches to the relevant question path
- 3
Respondent receives a thank-you email with the promised resource or discount code
- 4
Ask your AI: "Show me churned respondents who mentioned price" — it calls get_responses and filters inline
- 5
Ask your AI: "Summarize the top 3 themes from freelancer responses" — it reads and synthesizes
- 6
If your AI has Slack connected, ask it to surface high-signal responses as they arrive
- 7
Export CSV weekly for stakeholder review or to import into your research tool of choice
How to set up a Brieform market research survey
- 1
Open the market research template at /templates/market-research-survey
- 2
Describe your research goals in chat — the wizard builds the question set and branching logic
- 3
Define your segments and the question paths for each — Brieform generates the conditional logic
- 4
Ask your AI to read and summarize responses via the MCP server — filter by segment or question answer
- 5
If your AI has Slack or Notion connected, ask it to route high-signal responses there
- 6
Share the link via your distribution channel or embed it in your product
What this replaces
| Tool stack | Cost | The pain |
|---|---|---|
| Google Forms + manual Sheets tagging | $0 + 4h analysis | Flat surveys, no branching, manual segment tagging |
| Typeform + Zapier + Notion | ~$54/mo | Three tools to wire, no AI chat interface, Zaps break silently |
| SurveyMonkey / Qualtrics | $39–$99/mo | Enterprise pricing, no AI chat interface, steep learning curve |
| Brieform | $0 free, $29 Starter | Describe in chat, read responses in AI, route through your AI, no spreadsheet cleanup |
Who this is for
Product teams at startups
Running churn interviews, feature validation surveys, and ICP research without a dedicated research ops function.
Marketing and growth teams
Understanding why visitors don't convert, which messaging resonates, and what competitors people are evaluating.
Founders doing customer discovery
Talking to 50 potential customers to validate a problem before building — need structured data, not unstructured notes.
Agencies and consultants
Running discovery surveys with new clients or conducting audience research for a brand strategy engagement.
Related
FAQ
Can I show different questions to different respondents?
Yes — conditional logic is core to Brieform. Describe the branching in plain language: 'If company size is 1–10, skip the enterprise procurement questions.' The wizard builds it.
Can my AI summarize themes across open-text responses?
Yes. Ask your AI to call get_responses and then summarize: 'What are the top 3 themes in the open-text answers from churned users?' Your AI reads all responses and synthesizes them inline in your chat.
Can I use this for NPS or CSAT surveys?
Yes — rating scales and NPS-style questions are supported. Ask your AI to filter low-scoring responses and draft follow-up messages for the ones that need attention.
How do I share the survey with my audience?
You get a public /f/[slug] link that works anywhere — paste it in an email, tweet it, post it in a Slack community, or embed it in a modal inside your app. No respondent account required.
Build your research survey today
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