User Intuition logo

User IntuitionAI-moderated interviews that uncover why customers churn or choose you

4.3 (4)
Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

User Intuition is an AI-moderated customer research platform. It runs voice, video, or chat interviews that probe 5-7 layers deep into the reasoning behind every answer, delivering in 24 hours from a 4M+ verified panel or your own customers. Every finding traces to a real participant's words, and every study feeds a searchable Customer Intelligence Hub queryable across years of research. This eliminates the need for multiple vendors, reducing costs and increasing efficiency. The platform uses laddering methodology, a technique applied identically across 200 conversations at once, making it suitable for large-scale qualitative research. Studies can be launched in five minutes, and evidence-backed findings are returned in 24 hours. User Intuition has been rated 5/5 on G2 and Capterra, and serves 500+ research teams including Procter & Gamble, Capital One, and RudderStack. By collapsing the traditional four-vendor workflow into one, User Intuition provides a scalable and efficient solution for qualitative research, making it possible to compound knowledge instead of filing it away.

Key features

  • AI-moderated conversational interviews
  • Churn and win/loss analysis workflows
  • Automatic theme and pattern detection
  • Adaptive follow-up questioning
  • Aggregated insight reports
  • Asynchronous customer participation

Pricing

Model
Free
Category
Surveys
Rating
4.3 / 5 (4)

Use cases

Identify customer churn causes

Conduct AI-moderated voice interviews with customers to understand the reasons behind their churn. This helps you make data-driven decisions to improve your product and retain customers.

Gain insights on product adoption

Use User Intuition to run surveys and gather feedback from customers to understand how they use your product, what features they like or dislike, and areas for improvement.

Pros & Cons

Pros

  • Scales qualitative research without manual interviewers
  • Adaptive follow-ups reveal deeper context
  • Themes aggregated across many interviews
  • Faster turnaround than traditional user research

Cons

  • AI moderation may miss subtle emotional cues
  • Response quality depends on customer willingness to engage
  • Less suited for highly complex enterprise interviews

Battle record

Across 6 battles in the Pantheon.

2
1st
4
2nd
0
3rd

Last 5 battles

Reviews

4.3

Average from 4 ratings.

5
1
4
3
3
0
2
0
1
0

Sign in to leave a review.

Kwame Mensah

Kwame Mensah

Mar 29, 2026

Use it every day

Honestly didn't expect to like it this much. Automatic theme and pattern detection is exactly what I needed, and adaptive follow-ups reveal deeper context. I do wish aI moderation may miss subtle emotional cues, but I reach for it almost every day now and it just clicks.

AK

Aisha Khan

Jan 17, 2026

Does the job

Pretty happy overall. Aggregated insight reports just works and faster turnaround than traditional user research. Response quality depends on customer willingness to engage can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Olga Ivanova

Olga Ivanova

Dec 4, 2025

Use it every day

Honestly didn't expect to like it this much. Churn and win/loss analysis workflows is exactly what I needed, and adaptive follow-ups reveal deeper context. but I reach for it almost every day now and it just clicks.

IB

Ingrid Bauer

Nov 22, 2025

Does the job

Pretty happy overall. AI-moderated conversational interviews just works and scales qualitative research without manual interviewers. Response quality depends on customer willingness to engage can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Q&A

Won't AI-moderated interviews produce shallow answers?

User Intuition hasn't found shallow answers across the 30,000+ quality interviews run on the platform. The AI uses the same laddering technique a senior qualitative consultant uses — five to seven probes deep on the reasoning behind any answer. Every session is then scored automatically on Length, Depth, and Coverage; sessions that fail aren't billed. The risk of shallow AI conversations used to be real with first-generation chatbots. It isn't with calibrated AI moderation.

Asked by Dmitri Volkov · Sep 20, 2025

How do you know participants are real people — not bots, or someone leaning on AI?

User Intuition runs multi-layer fraud prevention at recruitment — bot detection on every session, duplicate suppression across the 4M+ panel, and professional-respondent filtering. Then every interview, voice and video, is screened for the tells of an AI-assisted or coached respondent: unnatural pauses after a question, the flat cadence of someone reading an answer aloud, eyes drifting off-screen for help. And because the moderator ladders 5–7 levels deep, anyone running on a script or an AI can't keep the story straight. The result is qualitative data you can trust came from a real person — not a bot, not a synthetic panel, not someone gaming the incentive.

Asked by Mei-Ling Wong · Sep 2, 2025

What happens if a study doesn't find anything useful?

User Intuition only bills for quality interviews — sessions that pass automatic Length, Depth, and Coverage checks. Studies that don't surface a clear finding usually point at the brief itself — most teams iterate the question and re-run. You're not committed to a multi-week timeline, so the cost of a re-run is hours and dollars, not months.

Asked by Olga Ivanova · Aug 31, 2025

How do I know the answers came from real people, not synthetic respondents?

Verifying that every respondent is a real human is the through-line of everything User Intuition does. An owned 4M+ vetted panel, recruitment-time fraud screening, in-interview authenticity checks, 5–7 level depth that exposes anyone coached or running on AI, and billing only for interviews that pass quality — together they point at one promise: the voice you act on is a real, verified human's, not a synthetic stand-in or unverified AI output. User Intuition's own research makes the stakes concrete — 26% of real participants pushed back on a deliberately flawed premise, while 0% of synthetic participants did. Real people disagree with you, and that is the signal you are paying for. See the Synthetic Mirage in Market Research.

Asked by Gabriel Duarte · Sep 1, 2025

Is User Intuition self-serve?

User Intuition is fully self-serve. Sign up with no credit card, get 3 free quality voice interviews, and launch your first study in under 5 minutes. No demo required. Demos are available on request for teams that prefer one.

Asked by Nour Khalil · Aug 26, 2025

Ask a question

Surveys alternatives