The depth of a senior researcher.
The scale of a survey.
For agencies, consulting firms, and research teams. Keep your methodology, bring your sample or use our 4M panel, and turn interviews into evidence-backed recommendations.
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.
Agencies, consulting firms, and research teams use the same research platform. Choose the workflow that fits your next brief, or connect research 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.
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.
For Agencies 03Consulting Firms
Interview employees and leaders inside the client organization—or customers, buyers, users, and participants in the client's market.
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.
Research InfrastructureWhat Is User Intuition?
User Intuition is an AI-moderated qualitative research platform for agencies, consulting firms, and research teams. Preserve your methodology, choose your sample, and turn interviews into evidence-backed findings for your client or team.
Hear the interviews. See the presentation.
Explore calls and a sample presentation from our 43-participant Walmart shopper study.
Grocery top-up, supercenter
“Basically, because we use those things all a lot We try to always have you know, certain things in the house at all times because we use them very frequently. So we don't like to run out of them.”
What was making you want those specific things right then? Beyond just being out? Was it about being able to make certain meals or something else?
Basically, because we use those things all a lot We try to always have you know, certain things in the house at all times because we use them very frequently. So we don't like to run out of them.
Phone replacement, unplanned and urgent
“It made me feel so safe so relieved, and it brightened my day.”
Sounds like you knew exactly what you want. A Google Pixel 6 Pro. What was it about that phone that made it the right choice for you, especially in that moment?
Yeah. Thank you. So the the the phone had a lot of features. I I heard friends were talking about this phone. So in terms of the camera setting, it can take pictures and refine them into good quality. It has its own internal scanner, like I don't need to download other apps to scan to do scans. And of course, it has high quality for recording, which has been helping me in my meetings. In the office. So it's really amazing, and I love festival the quality of the phone in terms of the camera, because the previous phone I had was a Samsung. And the quality was really frustrating. And it had it has a very good processor speed as well. It's very fast. It's very efficient, and I like it. I like it. I'm enjoying the features.
Sample presentation
Preview three slides, or download the full 15-slide presentation.
Bring your own sample
$30 per quality voice interview
Use our 4M panel
$60 per quality voice interview
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 researcher can only moderate so many interviews in a week. When several briefs land at once, scheduling and fieldwork capacity limit how many conversations the team can run before the decision deadline.
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.
Consistency across a larger fieldwork team
As interview volume grows, researchers need to keep the same learning goals and evidence standards across sessions. Reviewing probing depth and exceptions takes time, even with experienced moderators.
How does User Intuition fix each constraint?
Parallel AI moderation expands fieldwork capacity. Transparent Starter pricing makes smaller projects practical. Researchers keep control of the guide, evidence review, and final recommendation.
| 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.
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