The AI-Moderated Interview Platform
User Intuition is an AI-moderated interview platform with three study types — in-depth interviews, concept tests, and usability testing — each probing 5-7 layers deep into the reasoning behind a decision. Starting at $150/study from a 4M+ vetted panel, results in 24 hours.
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What is an AI-moderated interview platform?
An AI-moderated interview platform conducts live qualitative research conversations using adaptive AI instead of human moderators. User Intuition is an AI-moderated interview platform that runs three study types — in-depth interviews, concept tests, and usability testing — each probing 5-7 layers deep into the reasoning behind a decision. Studies start at $150, return in 24 hours from a 4M+ vetted global panel across 50+ languages.
Why does traditional qualitative research keep falling behind?
Qualitative research has been bottlenecked by human moderation since focus groups were invented. Scale is limited by hours-per-day. Speed is limited by recruiting and scheduling. Consistency varies by moderator. AI-moderated interviews remove those ceilings without sacrificing the depth that makes qual valuable.
Human moderation tops out at 4-6 interviews per day
A senior moderator can run 4-6 in-depth interviews in a day before fatigue dulls probing depth. Scale a study to 50 participants and it takes 2-3 weeks of moderator time alone — before recruiting, before analysis.
6-8 week turnaround misses every product decision
Sprint cycles are 2 weeks; product decisions are weekly. Traditional qualitative research arrives 4-6 sprints later, after the decision is already made. The insight lands in the deck but never makes it into the product.
Moderator inconsistency contaminates the dataset
Different moderators probe at different depths. Different days of the week, different sessions in the same day. The 50th interview gets less rigor than the 1st. Quality variance you'll never reconcile.
At $1,500 per IDI, most teams afford only 1-2 studies a year
Traditional IDIs run up to $1,500 per interview at full service (Drive Research, 2026 industry benchmark). A 20-interview study is $30K before analysis. Teams ration studies to once or twice annually, leaving most questions unanswered.
What Teams Value Most
What matters most to teams after switching to AI-moderated research.
User Intuition runs hundreds of AI-moderated interviews simultaneously. The AI never tires, never gets booked, never needs calendar coordination — scale is bounded only by the panel.
User Intuition delivers presentation-ready insights in 24 hours — sprint-compatible turnaround that lands research in the product decision, not after it.
User Intuition applies the same 5-7 layer laddering on every conversation. No fatigue, no off days, no moderator-to-moderator variance — the 200th interview gets the same rigor as the 1st.
User Intuition studies start at $150 — a 98%+ cost reduction vs. traditional IDIs at $1,500 each. Studies become a continuous practice, not an annual gamble.
How does the platform work?
Paste a research question on Monday. User Intuition builds the discussion guide, recruits from a 4M+ panel, runs the interviews, and returns evidence-backed findings by Friday.
Design the study
Paste a research brief or describe your objective. The platform builds the discussion guide, screener, and timeline in minutes.
The AI conducts the conversations
Each participant completes a 20–30 minute AI-moderated interview — voice, video, or chat. The AI adapts in real time, probing 5–7 levels deep.
Get evidence-backed results
Findings arrive with verbatims, themes, sentiment, and presentation-ready recommendations.
Compounding intelligence
Every study feeds the searchable Customer Intelligence Hub — query historical findings, surface cross-study patterns, re-mine for new insights.
What can you run on User Intuition?
User Intuition runs three AI-moderated study types — in-depth interviews, concept tests, and usability testing — each probing 5–7 levels deep into the reasoning behind a decision.
In-Depth Interviews
Voice and chat in-depth interviews moderated by AI using laddering methodology refined through Fortune 500 consulting. 5–7 levels deep, every interview.
Concept Tests
Show video, image, or product stimulus to real consumers in the interview flow. Capture the verbatim reasoning behind preference, not just scores.
Usability Testing
AI-moderated usability sessions on Figma prototypes or live URLs. The AI asks follow-up questions in real time as participants navigate.
What supports every study?
Beyond the study types, five capabilities compound across every project: the 4M+ vetted panel, the Customer Intelligence Hub, multilingual research, agentic access for AI agents, and the qual-at-quant-scale methodology.
Study Types — Interviews, Concept Tests, Usability
The three AI-moderated study types: voice/chat in-depth interviews, visual concept tests, and Figma/URL usability walkthroughs.
→Participant Recruitment
Access a 4M+ vetted panel, screen for fit, and launch in the same workflow. B2B or B2C.
→Customer Intelligence Hub
Every conversation compounds into searchable, structured intelligence that survives team changes.
→Multilingual Research
Native-language AI interviews in 50+ languages, with results in English.
→Agentic Research
MCP-server access lets AI agents design studies, recruit participants, and query the Hub — no dashboard required.
→Qual at Quant Scale
The methodology: senior-researcher depth applied across hundreds of conversations in parallel.
→The customer-research API for AI agents
MCP server access for AI agents — no dashboard required. Claude, ChatGPT, Cursor, and Claude Code all connect natively. Your agent designs studies, recruits real people, runs interviews, and queries the Intelligence Hub.
Explore agentic research →Explore by Use Case
User Intuition runs across the most common research applications — win-loss, churn, user research, shopper insights, concept testing, and brand health — using the same workflow.
Win-Loss Analysis
Uncover the real reasons deals are won or lost.
→Churn & Retention
Understand actual exit drivers by segment.
→User Research
Test prototypes and capture emotional responses.
→Shopper Insights
Map shopping missions and switching triggers.
→Concept Testing
Validate messaging and concepts with real customers.
→Brand Health
Track brand perception and competitive positioning.
→How do AI-moderated interviews compound across the platform?
The AI moderator is the engine, but it only runs because the rest of the platform supports it: the panel fills studies in hours, the Intelligence Hub stores every finding for cross-study search, multilingual research covers 50+ languages natively, and agentic access lets AI agents drive studies via MCP. User Intuition was built so each capability stands alone — and compounds when stacked.
Independently useful
- Run a single AI-moderated interview without ever opening the Intelligence Hub
- Recruit from the 4M+ panel without using the AI moderator
- Query the Intelligence Hub against research another tool collected
- Connect via MCP without using any of the dashboards
Better together
- The AI moderator is only useful because the panel fills studies in hours
- The Intelligence Hub is only useful because every study deposits findings in the same place
- Multilingual research is only useful because the panel covers 50+ languages, not 5
- Agentic research is only useful because the Hub stores what the agent learned
Built to stand alone. Built to stack together.
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.
The Synthetic Mirage in Market Research
- 5 failure modes
- 117 real interviews
- 90 synthetic interviews
We compared 117 real voice interviews to 90 LLM-generated 'participants' across Claude, GPT, and Gemini. Synthetic data passed the smell test — and failed the comparison test on every dimension that matters.
OpenClaw: Why It Went Viral and What Consumers Actually Want
117 voice interviews on the consumer demand behind OpenClaw's 232K-star viral rise.
B2B Win-Loss ResearchWhy Price Is Almost Never the Real Reason You Lost the Deal
10,247 post-decision buyer interviews reveal a 44-point gap between stated and actual loss drivers.
Frequently Asked Questions
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Tools & Tactics
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Platform Capabilities
The platform features that power this type of research.
See the User Intuition platform in action
Preview a real study output to see what arrives on Friday, or start free with 3 interviews and run your own.
You only pay for quality interviews.
Every interview is automatically scored against your brief. Misses aren't charged.
Launch your first study in minutes. No scheduling bottlenecks.