All the depth of a senior researcher. None of the research infrastructure to build.
Recruitment, AI-moderated interviews that probe 5–7 layers deep, and analysis — the full qualitative research stack behind one API. You build the product and own the customer; we return the real human signal.
Trusted by teams at
User Intuition is qualitative research infrastructure — recruitment from a 4M+ vetted panel, AI-moderated voice, chat, and video interviews that ladder 5–7 layers deep, and automated analysis, all exposed as one API and MCP server that product teams build on. Instead of assembling a panel, a moderation engine, and an analysis pipeline — years of work — platforms embed real customer research the way they embed payments or voice: one integration returns preference splits, ranked themes, minority objections, and verbatim quotes as structured JSON. The API is multi-tenant, so you serve your own customers under your own product; you own and export your data with no lock-in; and with transparent per-interview pricing, there is margin to build a business on top. A User Intuition study starts at $150 and returns results in 24 hours across 50+ languages.
Why Building Qual Research Infrastructure Yourself Doesn't Pay Off
Adding real customer research to your product means solving three hard problems at once. Each is a company on its own. Here is what you would have to build — and why calling an API wins.
A vetted panel is years and millions
Recruiting, verifying, and retaining real people who show up and answer honestly is a multi-year, multi-million-dollar operation with its own fraud detection, incentives, and compliance surface. Most products that try end up wrapping a cheap sample source and inheriting its bot problem.
Survey APIs can't ask 'why'
Distribution APIs return static responses to static questions. They can't probe why someone chose Option A, surface the objection that explains churn, or ladder from a stated preference to the real driver beneath it. Your product would ship shallow data.
Synthetic and LLM 'panels' collapse the truth
Asking a model to simulate an audience averages the 15% who reject your claim and the 52% who love it into one confident, wrong answer. For any decision that matters, your customers need real human variance — the skepticism, confusion, and emotion no simulation produces.
Analysis is its own pipeline
Even with transcripts in hand, turning them into ranked themes, verbatim evidence, and quality scores is a data pipeline you would build and maintain forever. Infrastructure means that comes back structured, on the first call.
What the API Gives Your Product Instead
What matters most to teams after switching to AI-moderated research.
Recruitment, AI-moderated interviews, and analysis — 72 tools across a single API and MCP server. No panel to build, no moderation engine, no analysis pipeline.
AI-moderated voice, chat, and video interviews that probe 5–7 layers deep, returning preference splits, ranked themes, and minority objections no survey API or LLM can fabricate.
Run studies on behalf of your customers, each in an isolated workspace, from one integration — under your product and your brand.
Own and export your data, blend in your own panel, and price to your customers on top of transparent per-interview pricing.
What Is Qualitative Research Infrastructure?
Qualitative research infrastructure is the recruitment, moderation, and analysis stack that turns a research question into real human answers — offered as an API you build on instead of a product you operate. User Intuition exposes the full stack — a 4M+ vetted panel, an AI moderator that probes 5–7 layers deep, and automated analysis — as one API and MCP server, so your product can launch studies and pull back structured results without you building a panel or a moderation engine.
How Do You Build Customer Research Into Your Product?
You build customer research into your product by calling User Intuition's API: create a study, recruit from a 4M+ vetted panel or your customer's own list, let AI-moderated interviews run, then pull back preference splits, ranked themes, minority objections, and verbatim quotes as structured JSON. The panel, the moderator, and the analysis are ours; the product, the UX, and the customer relationship are yours.
Is the API multi-tenant?
Yes. A platform can run studies on behalf of its own customers, each isolated in its own workspace, all from a single integration. This is production infrastructure, not a beta.
Can I resell or mark up the research?
Yes. You set your own price to your customers. User Intuition's transparent per-interview pricing leaves margin to build a business on top. Partnership economics for higher volumes are set directly — talk to our partnerships team.
How is this different from a survey API?
A survey API returns static answers to static questions. User Intuition returns moderated conversations: the AI probes 5–7 layers past the first response to reach the decision driver, then hands back preference splits, ranked themes, and minority objections with verbatim quotes. Real depth from real people — not rows, and not an LLM simulation.
Build On the API vs. Build It Yourself vs. Survey & Synthetic APIs
| Dimension | User Intuition API | Build It Yourself | Survey / Synthetic APIs |
|---|---|---|---|
| Real vetted humans | 4M+ panel or your own list | Years to recruit and verify | Cheap sample or simulated — bot-exposed |
| Interview depth | 5–7 layer laddering | Build your own moderator | Static Q&A, or none |
| Analysis | Structured JSON — themes, splits, quotes | Build and maintain a pipeline | Raw rows or embeddings |
| Multi-tenant | Yes — serve your customers | You build the tenancy layer | Varies |
| Time to launch | Days — one integration | Quarters to years | Days, but shallow data |
| Data ownership | Yours — export, no lock-in | Yours, if you built it | Varies by vendor |
| Economics | Transparent pricing — margin to resell | High fixed cost | Cheap per record, low validity |
What You're Actually Building On
The capabilities that matter when real customer research is a feature of your product.
Real human signal
A 4M+ vetted panel plus AI-moderated interviews that ladder 5–7 layers deep. Genuine preference splits, agreement rates, and minority objections — not survey rows, not synthetic averages.
The full stack via one API
72 tools across study design, recruitment, moderation, analysis, and synthesis — callable over a single REST API and MCP server. The surface is the whole platform, not a slice of it.
Multi-tenant by design
Run research on behalf of your own customers, each isolated in their own workspace, from a single integration. Production infrastructure, not a beta.
No lock-in
Own and export your data, blend your own panel with ours, and leave whenever you want. The signal your product generates is yours to keep.
Production-grade reliability
Enterprise-grade uptime with built-in recovery, and quality-only billing that keeps costs predictable — sessions that miss the quality bar aren't charged.
API for you, dashboard for them
Full API and MCP access for your engineers, and a dashboard for the non-technical users on your team or your customers'. Same capability, two surfaces.
From API Key to Real Interviews in Minutes
One integration. Works over REST or the MCP server — no dashboard required after setup.
Get an API Key
Sign up at app.userintuition.ai and generate an API key from Settings → API Keys. One credential for the whole platform.
Connect Your Product
Call the REST API directly, or add the User Intuition MCP server to your stack. Copy the exact config from the docs.
Create a Study
Your product creates a study — objectives, audience, mode — and recruits from the 4M+ panel or your customer's own list. Preview cost and timeline before it commits.
Real Interviews Run
Participants join AI-moderated voice, chat, or video conversations that probe 5–7 layers deep. You or your customer can watch progress or stay hands-off.
Pull Structured Results
Retrieve preference splits, ranked themes, minority objections with verbatim quotes, and a quality score — as JSON. Every study also feeds the Intelligence Hub for future queries.
What Teams Build On the Research API
Products that turn real customer research into a feature.
Research platforms & OS
Products offering end-to-end research add qualitative depth at scale by calling the API mid-workflow, then pulling results back into their own reporting.
→Vertical insights products
Industry-specific tools embed customer interviews so their users get real consumer signal without leaving the product.
→Agencies productizing research
Agencies that want a programmatic backend — not a manual service — wire the API into their own delivery, under their own brand.
→SaaS adding 'talk to your customers'
Product and CX tools add a native 'interview your users' feature powered by the API instead of building moderation in-house.
→Agentic & AI-native workflows
When an AI agent needs real human signal, it calls the same infrastructure over MCP. See the agent-native page for that path.
→Concept & message testing at scale
Embed fast preference and message tests so your users validate creative before launch, with results in hours.
→Should You Build On the API or Build It Yourself?
The infrastructure question is the same one you already answered for payments, auth, and voice: build the undifferentiated heavy lifting, or call it.
Build On the API When
- Real customer research is a feature of your product, not your core IP
- You need real vetted people, not synthetic or scraped data
- You want to launch in days and iterate, not staff a research-ops team
- You serve many end-customers and need multi-tenant isolation
- Depth matters — you need the why, not just rows
- You want predictable, usage-based cost with margin to resell
Build It Yourself When
- Owning a panel and moderation stack is your core differentiation
- You have years and millions to build recruitment, moderation, and analysis
- Your compliance model forbids any third-party processor
- You need full control of every layer and can maintain it forever
Most teams building on top of research — like most teams building on top of payments or voice — call the infrastructure and put their energy into the product their customers actually pay for.
Frequently Asked Questions
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Full API and MCP docs at docs.userintuition.ai. Works over REST or any MCP-compatible client.
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