Stop running the same study twice — build compounding intelligence
Your insights team commissions one-off studies, files the deck, and loses the learnings within 90 days. User Intuition replaces that cycle with AI-moderated interviews at $20 each that feed a searchable intelligence hub — so every study makes the next one sharper, faster, and cheaper. The same workflow gives your team access to a highly selective 4M+ recruit network for high-quality B2C and B2B fieldwork.
Cross-study synthesis reveals premium perception drivers consistent across 3 prior brand studies...
Trusted by teams at
Across 3,420 AI-moderated interviews conducted for consumer insights teams, User Intuition transforms one-off research projects into a compounding intelligence asset. Each study delivers 50-300 in-depth consumer interviews with 5-7 levels of probing depth, replacing agency-dependent workflows that cost $25K-$75K per project and take 6-12 weeks. Each study costs approximately $20 per interview with results in 48-72 hours. Results include structured thematic analysis, cross-segment breakdowns, boardroom-ready strategic recommendations, and evidence-traced findings with verbatim consumer language linked to specific conversations that stakeholders can verify directly. Every conversation feeds a searchable intelligence hub where insights teams can query past findings across brands, categories, and consumer segments — building compounding consumer intelligence that gets sharper with every study, survives team turnover completely, and transforms the insights function from a reactive service desk into a strategic asset for the business.
How Do Insights Teams Build Knowledge That Compounds?
Most insights teams run high-quality research that disappears within 90 days. Each study is a standalone project — filed in a shared drive, summarized in a deck, and forgotten by the time the next question arises.
Knowledge Silos Across Studies
Findings from last quarter's brand study sit in a deck nobody opens. The team running concept testing this quarter has no way to access or build on prior learnings.
Agency Dependency Drains Budget
You spend $25K-$75K per project and wait 6-12 weeks for agencies to deliver. Most of that cost is project management overhead, not research quality.
Turnaround Kills Relevance
By the time agency results arrive, the business has moved on. Decisions get made without evidence because the research timeline doesn't match the decision timeline.
Quantitative Surveys Miss the Why
Surveys tell you 68% prefer option A. They can't tell you why — or what to do about the 32% who didn't. You're making decisions on incomplete evidence.
Turnover Erases Institutional Memory
When a senior researcher leaves, years of accumulated understanding walk out the door. The replacement starts from zero with no searchable record of what's already been learned.
No Cross-Study Synthesis
You've run 40 studies this year but can't answer 'what do we know about premium perception across all our research?' There's no way to query findings across projects.
How Does User Intuition Build Intelligence That Compounds?
Insights teams use User Intuition to turn one-off studies into a searchable intelligence system. Every AI-moderated study feeds the same hub, so findings accumulate, cross-study patterns emerge, and institutional knowledge survives turnover instead of disappearing into slide decks that nobody reopens six months later.
How do insights teams stop losing knowledge between studies?
Every study feeds a permanent, searchable intelligence hub. Cross-study patterns surface automatically, and new team members query the full history of past research instead of starting from zero when they join.
How do insights teams break free from slow, expensive agency cycles?
At $20 per interview with results in 48-72 hours, any team member launches a study in 5 minutes without RFPs or vendor onboarding. Run 8-12 continuous studies per year instead of 2-3 large agency projects.
How do insights teams ensure research knowledge survives turnover?
The intelligence hub stores every finding, verbatim, and theme permanently. When a senior researcher leaves, nothing is lost. Replacements query years of accumulated evidence instead of rebuilding institutional memory from scratch.
How Consumer Insights Teams use
User Intuition
Brand Health Tracking
Track brand perception, awareness, and consideration continuously with AI-moderated depth interviews instead of shallow tracking surveys.
Concept Testing
Validate concepts, messaging, and packaging with 50-300 consumers in 48-72 hours. Iterate fast enough to test multiple rounds before launch.
Consumer Insights
Uncover purchase motivations, unmet needs, and decision drivers through 30+ minute AI-moderated conversations that probe 5-7 levels deep.
Competitive Intelligence
Interview competitor customers to understand switching triggers, unmet needs, and perception gaps you can exploit.
Shopper Insights
Map shopper missions, decision hierarchies, and in-store vs. online dynamics through conversational depth research.
Market Intelligence
Build continuous competitive and market intelligence that compounds over time instead of point-in-time snapshots.
How Does User Intuition Compare to Survey Platforms, Research Agencies, and Syndicated Data for Insights Teams?
| Dimension | User Intuition | Survey Platforms (Qualtrics / SurveyMonkey) | Research Agencies | Syndicated Data (Nielsen / Mintel) |
|---|---|---|---|---|
| Depth of Insight | 30+ min · 5-7 laddering levels per consumer | Closed-ended questions, shallow open-ends | Deep but limited to 15-30 interviews per project | Category-level trends, no custom depth |
| Time to Insights | 48-72 hours from brief to structured findings | 1-2 weeks for fielding + analysis | 6-12 weeks from RFP to final report | Monthly or quarterly data releases |
| Cost per Study | From $200 ($20/interview) | $5K-$20K per wave depending on sample | $25K-$75K per project | $50K-$200K/year subscription |
| Scale | 50-1,000+ depth interviews per week | High volume, low depth per response | 8-12 per focus group, limited by moderator | Broad market data, no individual depth |
| Cross-Study Synthesis | Built-in · query across all past research instantly | Separate datasets per survey, no synthesis | Decks in shared drives, manual review | Pre-packaged reports, no custom queries |
| Institutional Knowledge | Permanent searchable intelligence hub | Data silos per project | Knowledge walks out with the researcher | Subscriptions expire, data access ends |
| Language Coverage | 50+ languages, same methodology | Translation needed for each market | Requires local partners per market | Coverage varies by region and category |
| Customization | Fully custom studies launched in 5 minutes | Custom survey design required | Custom but slow — weeks of scoping | Pre-defined categories, limited customization |
From brief to boardroom-ready insights
Brief Your Study
Define your research objectives, target audience, and key questions. Our AI builds the discussion guide and screener — no RFP, no vendor onboarding, no 3-week scoping process.
AI Conducts the Interviews
Each participant completes a 10-20 minute AI-moderated voice interview. The AI probes 5-7 levels deep on motivations, perceptions, and decision drivers — not surface-level reactions.
Intelligence Synthesizes
Receive structured findings with evidence-traced insights, segment breakdowns, and verbatim quotes. Every finding links back to the actual consumer conversation that generated it.
Knowledge Compounds
Every study feeds your searchable intelligence hub. Cross-study patterns emerge automatically. New team members query past research instead of starting from scratch. Your insights function gets smarter with every study.
"User Intuition revealed the why behind the data we'd been staring at for months. The depth of consumer understanding from AI-moderated interviews gave us insights no survey could have surfaced."
Eric O., COO, RudderStack
When Should You Use AI-Moderated Interviews for Insights Research — and When Shouldn't You?
AI-moderated interviews deliver scalable consumer understanding for the research that drives most business decisions. Human moderation adds value in exploratory and sensory contexts.
AI-Moderated Interviews Are Best For
- Scalable consumer research across segments and markets
- Continuous brand and category tracking programs
- Multi-concept and multi-message testing at speed
- Cross-study pattern recognition and synthesis
- Building permanent institutional knowledge bases
- Consistent methodology across 50+ languages
Consider Other Methods When
- Ethnographic and in-context observation research
- Sensitive topics requiring high emotional intelligence
- Executive stakeholder workshops and alignment sessions
- Early-stage exploratory research with undefined hypotheses
- Physical product interaction and sensory evaluation
- Co-creation sessions requiring real-time facilitation
Most insights teams use AI interviews for 80% of consumer research and reserve human moderation for ethnographic and early-stage exploratory work.
Build an insights function that
gets smarter every quarter
In 48-72 hours, get the depth of qualitative research at the scale of surveys. Every study compounds into a searchable knowledge base your team reuses forever.
See how leading insights teams are building compounding intelligence. We'll design a program tailored to your research cadence.
Launch a study in 10 minutes. Results in 48-72 hours. No contract, no agency onboarding required.
No contract · No retainers · Results in 48-72 hours
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