Understand why consumers buy, leave, and switch — in 48 hours
Stop making decisions from dashboards that show what consumers did but can't explain why. Run AI-moderated interviews that probe 5–7 levels deep into motivation, barriers, and decision drivers — and build a compounding intelligence hub your whole organization can search.
Emotional motivators outweigh rational ones 3:1 in purchase decisions...
Trusted by teams at
Across 1,340 AI-moderated consumer interviews with CPG, retail, and DTC brands, surface-level satisfaction scores routinely masked declining emotional connection — the leading indicator of defection that no dashboard catches. User Intuition uncovers the motivations, barriers, and decision drivers behind consumer behavior through 30-minute AI-moderated conversations probing 5–7 levels deep into why people choose, switch, and stay loyal. Each study costs approximately $20 per interview with results in 48–72 hours — replacing multi-week research cycles that deliver findings after the decision window closes. Results include motivation hierarchies, barrier maps, and segment-level action plans with verbatim consumer language. Every conversation compounds into a searchable intelligence hub so teams can query past findings, spot longitudinal trends, and build institutional knowledge that persists across personnel changes.
Your insights don't compound
— that's your real problem
You run research. You get insights. You put them in a deck. Six months later, a new team member asks the same questions you already answered — but the research is buried.
Knowledge Trapped in Decks
You commission research. Pay consultants. Get a 40-page deck. Months later, new stakeholders ask the same questions. The research is not searchable, not accessible, not reusable.
Teams Re-Learn the Same Lessons
Brand team researches positioning in Q1. Product team runs a separate study on the same consumer in Q3. Both arrive at similar conclusions. Nobody realized the overlap.
Speed and Cost Trade Off Against Depth
Surveys are fast and cheap but shallow. Agencies deliver depth at $15K–$27K over 6–8 weeks. You're trapped between shallow-fast and deep-slow.
Knowledge Walks Out When People Leave
A director who spent two years building consumer understanding gets hired away. New director starts from scratch. No research archives. No historical context.
Research Is Project-Based, Not Infrastructure
Each study is treated as a deliverable, not a building block. Once the deck is shared, it's gone. No way to ask new questions of old data.
Parallel, Disconnected Projects
Research happens in silos. You're not building institutional understanding of consumers — you're running disconnected studies that don't inform each other.
Real-world applications
for Consumer Insights
New Product Development
Validate prototypes with 50–75 consumers in your target demographic. Get findings in 48-72 hours. Iterate or pivot quickly.
Brand Positioning & Messaging
Explore brand perception, competitive differentiation, and messaging resonance. Test 3–4 positioning statements with segment analysis.
Competitive Intelligence
Launch a quick competitive study in 24–48 hours. Interview consumers who've tried competitor products. Understand switching risk.
Consumer Segmentation
Launch a 150–200 participant study stratified across key segments. Understand what matters most to each consumer type.
Category Trend Monitoring
Track emerging consumer preferences and shifting behaviors. Spot trends before they scale and competitors respond.
Ongoing Research Programs
Run studies weekly instead of annually. Build a searchable repository of consumer insights that grows with every study.
How Does User Intuition Compare to Surveys, Panels, and Focus Groups for Consumer Insights?
| Dimension | User Intuition | Surveys (Qualtrics / SurveyMonkey) | Online Panels (Suzy / YouGov) | Focus Groups |
|---|---|---|---|---|
| Depth of Insight | 30+ min · 5–7 laddering levels into emotional and identity-driven motivations | 2–5 min closed-ended responses; surface-level preference data | 10–15 min open-text with limited follow-up; stated reasons only | 60–90 min but groupthink bias and moderator influence distort responses |
| Time to Insights | 48–72 hours from study launch to full report | 1–2 weeks for fielding + analysis | 3–5 days for fielding; 1–2 weeks with analysis | 4–8 weeks including recruitment, moderation, and synthesis |
| Cost per Study | From $200 (20 interviews at $20 each) | $5K–$15K depending on sample size and platform | $3K–$10K per wave depending on audience | $15K–$30K per group series including recruitment and facility |
| Scale | 200–1,000+ deep interviews per study | High volume but shallow; can't probe follow-ups | 50–200 respondents per wave; depth limited by format | 6–8 participants per group; 3–4 groups typical maximum |
| Bias Control | Consistent AI methodology eliminates moderator bias, social desirability, and fatigue | Question framing bias; no ability to probe unexpected responses | Professional respondent bias; panel fatigue across studies | Dominant voice bias; social desirability; moderator leading |
| Consumer Language Capture | Full verbatim transcripts with emotional context and motivation language | Checkbox selections and scaled ratings; no natural language | Brief open-text responses; limited emotional context | Transcripts available but contaminated by group dynamics |
| Knowledge Retention | Searchable intelligence hub that compounds across every study | Data exports; no cross-study search or compounding | Dashboard metrics reset each wave; no institutional memory | Locked in agency decks; starts from zero each project |
| Actionability | Motivation hierarchies, segment-level action plans, and strategic recommendations | Preference scores and cross-tabs; teams must interpret | Topline reports with limited strategic guidance | Synthesis dependent on moderator skill; inconsistent quality |
From question to consumer truth
Design The Study
Define your consumer segments, behavioral criteria, and the motivations you want to uncover. Our AI builds the discussion guide, screener, and sample plan around your specific category and audience.
AI Conducts the Conversations
Each consumer completes a 10-20 minute AI-moderated voice interview exploring emotional drivers, identity-level motivations, and purchase triggers. The AI adapts in real time, probing deeper on the responses that reveal the most.
Get Evidence-Backed Results
Receive a full research report with quantified motivation drivers, behavioral segments, consumer verbatims, and strategic recommendations — structured for brand, product, and marketing teams to act on immediately.
Create Compounding Intelligence
Every consumer study feeds your searchable intelligence hub. Query past research, surface cross-study patterns across segments and categories, and re-mine interviews for new insights — so your consumer understanding deepens with every study.
"We used to run 2 consumer studies a year at $20K each and wait 6 weeks for results. Now we run monthly research in 48-72 hours and our team actually uses the findings because they're searchable and always accessible. The knowledge compounds."
Archie C., CEO — WhatsTheMove
When Should You Use AI-Moderated Interviews for Consumer Insights — and When Shouldn't You?
AI-moderated interviews excel at structured consumer research at scale — running hundreds of deep conversations in 48–72 hours. But they're not the right tool for pure exploratory discovery, ethnographic observation, or culturally sensitive topics requiring local expertise.
AI-Moderated Interviews Are Best For
- Purchase motivation and brand switching analysis at scale
- Consumer segmentation by emotional and behavioral drivers
- Attitude and usage studies across multiple markets simultaneously
- Continuous tracking of consumer sentiment and perception shifts
- Concept and message testing with consistent methodology
- Post-purchase experience and loyalty driver analysis
Consider Other Methods When
- You don't yet know what to ask — pure exploratory discovery
- The topic requires in-home or in-store ethnographic observation
- Cultural nuance requires a researcher with deep local expertise
- Participants need to interact with physical products in person
- The research involves vulnerable populations or sensitive health topics
- You need the interview to evolve substantially based on early findings
Methodology refined through Fortune 500 consulting engagements. Most teams use AI interviews for 80% of their consumer research and reserve human moderation for the remaining 20%.
Consumer intelligence that
compounds with every study
In 48-72 hours, understand why consumers choose. Every study builds a living library of institutional knowledge your team reuses and builds on.
See how to build a continuous research practice. We'll tailor a pilot to your team's objectives.
Launch a consumer study in 10 minutes. Results in 48-72 hours. No contract required.
No contract · No retainers · Results in 48-72 hours
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