概览
主要功能
- 使用 AI 模型辅助的对话访谈
- 流程化的弃用（churn）和胜利/失败（win/loss）分析
- 自动识别模式和主题
- 适应性后续问题
- 汇总的见解报告
- 异步客户参与
价格
- 模型
- Free
- 分类
- 起電解析
- 评分
- 4.3 / 5 (4)
使用场景
确定客户流失的原因
使用 User Intuition 运行语音访谈，了解因其流失的细节。这种方式有助于让您的决策更具数据基础，从而改进产品并保留客户。
了解产品采用
使用 User Intuition 运行调查与客户互动以了解他们使用产品的方式、他们喜欢或不喜欢的特点和改进领域。
优点 & 缺点
优点
- 可以对大量的质量分析进行规模化
- 适应性后续访谈揭示了更深的上下文
- 题纲（主题）在多个访谈中汇总
- 比传统用户研究快得多
缺点
- 可能忽略微妙的情绪暗示
- 参与者质量取决于会员的承诺度
- 不适合复杂的企业访谈
对决战绩
在万神殿中参与了 6 对决。
Last 5 battles
评测
4 个评分的平均值。
登录以留下评测。
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.
问答
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
