概要
主な機能
- AIによって調整された会話インタビュー
- 離脱と勝負/負け分析フローウォーク
- 自動テーマとパターンの検出
- 適応的なフォローアップの質問
- 集合的な洞察報告書
- 非同期の顧客参加
料金
- モデル
- Free
- カテゴリー
- 調査
- 評価
- 4.3 / 5 (4)
ユースケース
顧客流失の原因を特定する
AIによって調整された音声インタビューで顧客の流失の理由を理解するため、顧客にインタビューする。 これは、データ駆動の決定を下して製品を改善し、顧客のリテンションを実施するために役立ちます
製品採用にわかる
ユーザー インテリジェンスを使用して、顧客からサーベイを実行し、製品をどのように使用するか、どの機能を気に入っているか、または改善が必要であるかについてのフィードバックを収集して、製品がどのように採用され、どの機能がどのように機能するかを理解します。
メリット & デメリット
メリット
- 規模のある自己啓発研究を自動化する
- 適応的なフォローアップを通してより深い背景を明らかにする
- 「多くのインタビューでテーマを集約する
- 伝統的なユーザー研究よりも早いタワーニュースターや
デメリット
- AIによって調整された場合、微妙な感情的なニュアンスをミスの可能性
- カスタマーウェイリングに応じて回答の質に依存する
- 大量コンプライアンスのビジネスインタビューには向かぬ
バトル戦績
パンテオンで1バトルに出場。
Last battle
レビュー
4件の評価の平均。
レビューを投稿するにはログインしてください。
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
