The depth of a senior researcher.
The scale of a survey.
Run AI-moderated customer interviews and get findings you can trace to the evidence. Start your own study, deliver research for clients, or build research into your product—with your audience or ours.
Start directly in the platform. No sales call required.
Used by 500+ research teams
Run it yourself. Deliver it for clients. Build it into your product.
One research platform, with the flexibility to fit how you work. Use the self-serve workspace for your next decision, add delivery capacity to your agency, or connect through API and MCP.
Research & Insights Teams
Answer the questions your roadmap cannot wait for. Run customer studies yourself, inspect the evidence, and build on what you already know.
Explore Research for Insights Teams 02Agencies
Take on more client research without adding a moderator for every interview. Keep your methodology, chosen sample, interpretation, and client relationship.
Explore Research for Agencies 03Consulting Firms
Interview employees and leaders inside the client organization—or customers, buyers, users, and participants in the client's market.
Explore Research for Consulting Firms 04Builders & Research Platforms
Add customer research to an existing product through API and MCP. Use User Intuition for fieldwork and analysis while you build the customer experience.
Explore Research InfrastructureWhat Is User Intuition?
User Intuition is an AI-moderated customer research platform that probes 5–7 layers deep and links findings to participant evidence. Teams and agencies can run studies self-serve, with their own sample or recruitment. Builders can connect research workflows through API and MCP.
Watch a study go from brief to launched in 52 seconds — the same flow you'd use on signup.
Why does qualitative research need a different approach at scale?
Qualitative research has always been the gold standard for depth, and the price has always reflected that — $15,000–$30,000 per study, 4–8 weeks per delivery. Fine when one big study a year was enough. Most teams now have a dozen open questions a quarter.
The interview ceiling
A senior moderator runs 5–10 in-depth interviews per week. That's the cognitive ceiling of the activity, not a budget cap. The result is that every qualitative study you've ever commissioned was statistically thin, and you knew it.
The cost per truth
A single full-service IDI costs around $1,500 (industry benchmark: Drive Research, 2026). A 20-participant study, $15,000–$30,000. Fine if you commission one a year. Less fine when you need an answer this Tuesday.
The two-month delay
4–8 weeks per study. By the time the deck arrives, the campaign has launched, the roadmap has shipped, the team has moved on — by which time three of the customers it described have already left. You read the findings, nod, and file them somewhere no one will look.
The bias you cannot see
Every human moderator has favorite probes, off days, and unconscious leading. Two moderators on the same study probe to two different depths — and nothing in the deck tells you which one you got.
How does User Intuition fix each constraint?
User Intuition fixes each constraint above with a specific mechanism: parallel AI moderation removes the ceiling, $25 per interview removes the cost wall, 24-hour findings remove the delay, and calibrated probes on every interview remove the variance.
| Dimension | Surveys | User Intuition | Human-moderated qualitative |
|---|---|---|---|
| Depth | Structured answers with limited adaptive probing | 5–7 laddering levels, consistently | 5–7 in skilled hands; less in junior hands |
| What you learn | What people chose or reported | Why they chose it, in their own words | Why they chose it, in their own words |
| Consistency | Same questions; little adaptation | Adaptive probing with the same rigor every time | Adaptive probing that varies by moderator |
| Scale | Thousands of responses in parallel | Thousands of conversations in parallel | One moderator at a time |
| Speed | Hours to days, then analysis | 200 interviews in 24 hours | 5–10 interviews per week |
| Cost | Lowest cost per response | $150 per 5-interview study | $15,000 per study |
How does User Intuition compare to other AI-moderated interview tools?
Compare User Intuition with Listen Labs, Strella, Outset, and Conveo. Evaluate interview depth, quality controls, recruitment, and setup—not just turnaround. User Intuition combines 5–7-level laddering, quality-only billing, a 4M+ participant panel, and self-serve study setup.
Deeper interviews
AI-moderated interviews use 5–7 levels of laddering to investigate the reasoning behind an answer. Review the participant evidence before making a decision.
Quality-backed research
Interviews are scored against the brief on length, depth, and coverage. Conversations that miss the quality bar are not charged.
Recruitment built in
Access a 4M+ verified participant panel, bring your customers, or use a supported external panel. Recruitment timing depends on audience fit and availability.
Self-serve setup
Turn your brief into a study in the workspace, review the guide, and launch without an onboarding call. A straightforward study can be set up in five minutes.
How does User Intuition work?
Start with your question, review the guide, choose your sample, and inspect the findings. Keep control of the research while AI handles the interviews and first-pass analysis.
Upload your brief
Paste your brief or describe what you want to learn. The platform builds the discussion guide, screener, and timeline in five minutes.
The AI conducts the conversations
Verified humans complete 20–30 minute AI-moderated voice interviews. Recruit from the 4M+ panel, or import your own customers. The AI moderator probes deeper on interesting responses, in real time.
Insights delivered your way
Findings arrive with verbatims, themes, sentiment, and presentation-ready recommendations — to email, Slack, or your dashboard.
Compounding intelligence
Every study feeds the searchable Customer Intelligence Hub. Query past research, surface cross-study patterns, re-mine findings — knowledge compounds rather than getting filed and forgotten.
What Do Teams Use User Intuition For?
User Intuition runs three study types: in-depth interviews that ladder into the reasoning behind decisions, concept tests that capture reactions to creative or product, and interactive walkthroughs that observe live prototype use.
In-depth interviews — when you want to know why
Voice conversations that ladder 5–7 levels into the reasoning behind a decision. Open-ended discovery at scale.
Concept tests — when you have something to show
Show creative, messaging, or product concepts to verified humans and capture structured reactions before you ship.
Interactive walkthroughs — when you need to watch
Participants navigate a prototype, product, or workflow while talking through what they're seeing. Usability and friction surfaced live.
"User Intuition gave us something we'd never had before — the ability to have hundreds of deep conversations with our consumers in days, not months, and actually use those insights to make decisions in real time. That's not incremental improvement. That's a fundamentally different way of building brands."
Eric O., Chief Commercial Officer, Turning Point Brands
"It tells us what's actually going on under the number. We had dashboards coming out of our ears, we knew the second NPS dropped or churn ticked up, but a dashboard never told us what the customer actually went through to feel that way."
"It's quick to set up, the AI interviews actually hold up, and everything we've ever learned is searchable in one place. That's the direction consumer insights should have gone years ago."
"Collapsed our stack without giving up interview depth, which was the fear. Recruiting, conversations, and the archive live in one place now. Brand questions get answered from what we already know instead of another fielding cycle."
Original Studies, Real Participants
User Intuition publishes original research on questions the industry keeps debating. Recent studies include synthetic data quality, the real reasons deals are lost, and what makes products go viral. All conducted on our own platform.
How Accurate Are Synthetic Users? A Preregistered Study
53 people · 1,625 predictions · two blind cross-vendor judges
Synthetic users can sound convincing while missing the person. We tested whether better context could close the gap.
OpenClaw: Why It Went Viral and What Consumers Actually Want
117 voice interviews on the consumer demand behind OpenClaw's 232K-star viral rise.
Original ResearchThe Synthetic Mirage in Market Research
117 real voice interviews against 90 LLM-generated 'participants' reveal five failure modes the smell test misses.
Your research data stays private and protected
Customer and participant data is encrypted in transit and at rest, never sold, and never used to train AI models. Deletion is available on request.
Explore our security practices
Frequently Asked Questions
Add the Voice of Your Customer to Every Decision
Bring the next question on your roadmap or client brief. Design a study, choose your sample, and review the evidence in one workspace. Start self-serve, or talk through a client or integration requirement with us.
No contract · No retainers · First insights in 24 hours