“User Intuition is an AI-moderated interview platform that gives research teams and agencies the depth of a senior researcher at the scale of a survey, with vetted respondents, their own methodology and evidence they can trace to the verbatim.”
“User Intuition is an AI-moderated interview platform that gives research teams and agencies the depth of a senior researcher at the scale of a survey, with vetted respondents, their own methodology and evidence they can trace to the verbatim.”
“User Intuition's AI moderator runs the same 5–7 level laddering a senior human moderator uses, on every interview, without the drift between moderators. Participants rate the experience highly: 98% rate their interview satisfied or very satisfied, and they report less social pressure with an AI moderator than with a human one, so they share more openly.”
“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.”
“Compounding intelligence means every study your insights team runs adds to a searchable knowledge base instead of disappearing into a slide deck. Over time, cross-study patterns emerge automatically, new team members onboard by querying past research, and each project builds on prior findings rather than starting from zero.”
“Teams approve a discussion guide, choose their sample, run interviews in parallel, and review source evidence before sharing findings. Prior studies remain searchable in the Intelligence Hub. Panel results return in 24 hours and your own sample runs in parallel; research design and judgment stay with your team.”
“Yes. A small research team can run interviews and review findings directly, using its own sample or the 4M+ vetted panel.”
“Insights leaders track three metrics. Cost per study, measured against the $15K–$75K of a traditional qualitative project.”
“The best consumer insights interview questions are open-ended, non-leading, and sequenced to move from broad context to specific behavior to underlying motivation. Start with discovery questions that understand the consumer's world before asking about specific products or brands.”
“A 30-minute AI-moderated consumer interview typically covers 8-12 primary questions with extensive automated follow-up probing. A 45-minute human-moderated session covers 10-15 primary questions.”
“Three rules prevent leading questions: never embed the desired answer in the question ('Don't you think this packaging looks premium?'), never use scales that anchor toward positive responses ('On a scale of 1-10, how much do you love this?'), and never reference what other consumers said ('Most people prefer version A — what about you?').”
“Yes. AI-moderated interviews dynamically adapt to each participant's responses, probing 5-7 levels deep using laddering methodology.”
“The most effective churn interview questions follow a progression from timeline reconstruction to emotional laddering.”
“A well-structured churn interview typically uses 8-12 prepared questions as a guide, but the real depth comes from follow-up probes rather than a long question list. The most effective approach is to have 5-6 core questions organized by category and let the conversation develop naturally through 5-7 levels of laddering on each response.”
“The optimal window for churn interviews is 7-14 days after cancellation. Within the first few days, customers are still emotionally activated and tend to produce vivid but disproportionate accounts. Beyond three weeks, the rationalization process completes and customers construct clean, simple narratives from complex experiences — the nuanced causal factors collapse into a single stated reason like price.”
“The five most damaging mistakes are: leading with 'why did you cancel?'”
“The best NPS detractor interview questions are open-ended, non-leading, and designed for multi-level follow-up probing. Questions like 'Walk me through what was going through your mind when you chose that score' produce richer intelligence than 'Why did you give us a low score?'”
“Select 8-12 primary questions per interview from the full bank. Covering more than 12 at genuine depth is impossible in a 20-30 minute conversation. Spend 60% of your interview time on follow-up probes — four questions explored to five levels of depth produce far more actionable retention intelligence than twelve questions skimmed at the surface.”
“Interview 15-30 detractors per quarterly cycle to reach thematic saturation. Most teams find that 80% of recurring themes surface within the first 12-15 interviews. If you segment by customer tier, plan for 8-10 interviews per segment to capture meaningful patterns within each group.”
“It depends on what you're measuring. Use NPS for quarterly relationship-level tracking and board reporting. Use CSAT for transactional feedback on specific interactions like support tickets, onboarding calls, or feature releases. Most mature CX programs use both at different touchpoints rather than choosing one over the other.”
“Yes, if you separate them by purpose and timing. Run NPS quarterly as a relationship pulse. Deploy CSAT immediately after specific interactions. Customers won't feel over-surveyed because the surveys arrive at different moments for different reasons. The risk of fatigue comes from redundancy, not frequency.”
“NPS ranges from -100 to +100. Above 0 means you have more promoters than detractors.”
“Three limitations stand out. First, low response rates mean you're hearing from a biased sample — typically the very happy and the very unhappy.”
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