User Interview Question Builder
User Interview Question Builder
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Description
Design high-quality user interview questions, guides, and follow-ups for product research, customer discovery, UX research, and feature validation—and turn interview evidence into product decisions.
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ResearchInterview-to-Insights V3
Turn interview, user research, or focus-group transcripts into an evidence-based research synthesis where every conclusion is traceable to a supporting quote. From one transcript to twenty, get coded themes, a tension map, an opportunity backlog, and direct answers to your decision questions—no more hours of recordings with zero findings. For businesses and product teams: save days of analyst time spent organizing and coding. Every claim is anchored to participants’ exact words and timestamps, making it auditable and traceable while reducing the risk of AI-fabricated insights. Opportunities are presented as “when [situation], [who] wants [outcome] because [reason]”, ready to connect with product roadmaps and market decisions. For researchers and academics: follow rigorous qualitative research practice rather than simple summarization—quote-first open coding, Behaviour/Belief/Wish evidence categories, falsifiable themes, and deliberate searches for disconfirming evidence. The method is rigorous enough for a research paper. Sample discipline is strict: percentages are not reported with fewer than 12 participants, n=1 is identified as a hypothesis rather than a finding, and conclusion strength is based on participant counts. Ideal for product managers, UX and market researchers, journalists, consultants, founders, and anyone with hours of recordings but no research findings yet. English: Turn interview, user research, or focus-group transcripts into an evidence-led research synthesis where every conclusion is traceable to a verbatim quote. Feed it one transcript or twenty, and get coded themes, a tension map, an opportunity backlog, and a direct answer to your decision question—no more hours of recordings with zero findings. For businesses & product teams: skip days of manual coding; every claim is anchored to participant quotes with timestamps, auditable and traceable, eliminating the risk of AI-fabricated insights; opportunities are framed as "when [situation], [who] wants [outcome] because [reason]", ready to feed product roadmaps and market decisions. For researchers & academics: real qualitative practice, not summarisation—quote-first open coding, Behaviour/Belief/Wish evidence tagging, falsifiable themes, deliberate disconfirming-evidence hunting, rigorous enough for a methods section; strict sample discipline: no percentages under 12 participants, n=1 flagged as hypothesis rather than finding, theme strength counted in participants. For product managers, UX & market researchers, journalists, consultants, founders doing customer discovery—and anyone sitting on hours of recordings with no findings.
WriteInterview Outline Master V2
Three primary scenario pathways: 🎓 Scenario A | Academic research (theses and journal articles, including research-question mapping and safeguards against leading questions) 📚 Scenario B | Case development (professional master's and teaching cases, including key-event timelines and triangulation) 💼 Scenario C | Commissioned research and consulting (business and government consulting, following a current state–problems–causes–needs–recommendations framework) Four interviewee-type pathways: automatically adapt wording, ethical requirements, and sensitive-topic anticipation for government officials, business executives, frontline employees or customers, and academic experts. Pre-interview materials checklist: send it with the invitation to request materials for refining the guide; when no materials are available, automatically supplement with public-source research. Ready-to-use structure: each probing point explains “what you are uncovering,” with five follow-up strategies (clarification, deeper probing, comparison, hypothesis, and paradox), informed-consent ethics provisions, and time planning.
Dialogue Director Pro | Interview Design Engine
This isn't just a list of questions; it helps you design a memorable conversation. A 7-step process, from guest research to finalized materials: Guest Profile → Narrative Structure → Question Matrix → Process Layout → Interview Rehearsal → Material Conversion → Interview Debriefing 💡 Steps 1-3 form the core design process, delivering a complete interview plan independently; Steps 4-7 enhance the experience and can be used as needed. 🔍 Guest Profile | Online search of publicly available guest information generates a five-dimensional in-depth profile—factual skeleton, story vein, core conflict, communication style, and emotional entry point—telling you which direction to dig. Non-public figures automatically switch to interview-style information gathering. 🌿 Follow-up Question Branching Tree | When generating questions, the system pre-predicts the possible directions of the guest's answers for each key question and designs corresponding follow-up questions. You take this "decision tree" to the event, listen to the guest's answer, and then choose the corresponding branch to ask follow-up questions—no need for on-site AI, no need for real-time text transcription; all plans are designed during the preparation stage. It lets you be a chess player on-site, not an improvisational actor. No similar function exists on the market. 🎬 AI Rehearsal | Before the interview, AI plays the role of a guest, simulating three answering styles (in-depth/superficial/evasive), allowing you to practice follow-up questions and identify blind spots in the process. 📝 Five Outputs | Generates from a single interview: interview article/ podcast script/ oral history transcript/ social media content package/documentary script skeleton. 📊 Interview Debriefing | Plan vs. reality comparison, analysis of gold mines and regrets, five-dimensional capability radar chart, allowing you to grow with every interview. Suitable for: podcast interviews, interviews, student interviews, UX in-depth interviews, executive interviews.
Information
- Version
- v3
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
