
개요
주요 기능
- AI 조정 대화 인터뷰
- 회전 및 승리/패배 분석 워크플로우
- 자동 테마 및 패턴 탐지
- 적응적 추적 질문
- agregated 지식 보고
- 비 동기적 고객 참여
가격
- 모델
- Free
- 카테고리
- 설문 조사
- 평점
- 4.3 / 5 (4)
사용 사례
고객 churn 원인을 파악하기
고객의 churn 이유를 이해하기 위해 AI 조정된 목소리 인터뷰를 실시하여 churn원인을 파악하고 수치적인 결정을 하여 제품을 개선하고 고객을 유지한다.
제품 사용을 개선하기
User Intuition을 사용하여 고객에게 설문지를 보내서 제품 사용 방법, 고객이 좋아하거나 싫어하는 feature 및 개선점을 파악한다.
장단점
장점
- 수요의 질적 연구를 자동으로 확대하는
- 적응적 추적 질문으로 더 깊은 문맥을 노출하는
- 많은 인터뷰에서 테마를 agregated하는
- 전통적인 사용자 연구와 더 빠르게 turnaround을 가르는
단점
- AI 조정은 tinh회에 대한 슬러블 감정을 놓칠 수 있다
- 고객 참여의 원동력에 따라 응답의 질PENDDING
- 가장 복잡한 기업 인터뷰에 적합하지 않음
대결 기록
Pantheon에서 1회 대결.
Last battle
리뷰
4개 평가의 평균.
리뷰를 작성하려면 로그인하세요.
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.
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.
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.
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
질문하기
설문 조사 대안
Trending now
Reducto AI
인공지능 에이전트 개발 플랫폼
복잡한 PDF, 슬라이드 및 스프레드시트에서 구조화된 데이터를 추출할 수 있는 문서 지능 API입니다. 이들은 텍스트, 이미지, 탭 및 레이아웃 정보까지 모든 요소를 파싱 및 추출합니다.
AdCrier
마케팅 및 광고
광고 주도 답변, 클릭당 지불
Biology AI
교육 인공지능(EdTech AI)
정확한 과제 도움말과 전체 설명
KlapAI
3D
Web3 및 AI를 통합한 플랫폼으로, 유저들이 게임 자산을 만들고, 유효성 검증하고, 블록체인 상에서 자산의 소유권 및 상호 운용성을 확보한 뒤 이자로 부수를 받을 수 있게 한다.







