Run deeper studies, faster — without sacrificing rigor
Stop choosing between depth and speed. Run 200+ AI-moderated interviews in 48-72 hours with 5-7 levels of probing depth — qual rigor at quant scale, at $20 per interview.
Cross-segment analysis reveals price sensitivity varies 3x between cohorts...
Trusted by teams at
Across 4,160 AI-moderated interviews conducted by market researchers, User Intuition eliminates the depth-versus-scale tradeoff that has defined market research methodology for decades. Each study delivers 50-300 in-depth interviews with 5-7 levels of laddering depth per conversation, combining qualitative richness with quantitative confidence in a single methodology. Each study costs approximately $20 per interview with results in 48-72 hours, compared to $500-$1,500 per interview for traditional qual or weeks of shallow survey data. Results include automated thematic coding, cross-segment breakdowns, methodological audit trails, and evidence-traced findings with verbatim respondent language for stakeholder presentations. Every conversation feeds a searchable intelligence hub where research teams can query past findings across methodologies, markets, and consumer segments — building compounding market intelligence that gets sharper with every study and ensures prior research informs future design instead of sitting in forgotten project folders.
How Do Market Researchers Eliminate the Depth vs. Speed Tradeoff?
Most market researchers choose between depth and speed on every project. A rigorous qual study takes 6 weeks, a shallow survey 2, but deep insight at sprint speed is rare. Stakeholders demand both.
Manual Coding Kills Speed
Your team spends days coding transcripts and building thematic frameworks. By the time analysis is done, the business has already made the decision without you.
Sample Quality Is a Constant Concern
Professional respondents, bot-generated answers, and panel fatigue plague every project. You spend more time cleaning data than analyzing it.
Qual Doesn't Scale
You can run 20 in-depth interviews or 2,000 surveys. You can't run 200 in-depth interviews. The depth-vs.-scale tradeoff is baked into every methodology.
Quant Lacks Depth
Surveys tell you 68% prefer Option A. They don't tell you why. You run a follow-up qual study to explain the numbers — doubling cost and timeline.
Tool Fragmentation Wastes Time
Screener in one tool. Moderation in another. Analysis in a third. Reporting in PowerPoint. Your tech stack creates busywork, not insight.
Stakeholders Are Skeptical of AI
Your leadership wants to see AI in the research process but doesn't trust it to maintain methodological standards. You need to prove rigor, not just speed.
How Does User Intuition Eliminate the Depth vs. Speed Tradeoff?
Market researchers use User Intuition when they need qualitative depth without giving up speed or sample size. The platform runs 200+ AI-moderated interviews with 5-7 levels of probing depth in 48-72 hours, giving teams a single methodology for qual richness, quant-scale pattern detection, and evidence they can defend internally.
How do market researchers get depth and speed without manual coding?
Automated thematic coding replaces days of manual transcript analysis. Each study delivers structured findings with evidence-traced insights in seconds, so your analysis keeps pace with business decisions instead of lagging behind them.
How do market researchers scale qual without sacrificing rigor?
AI moderation runs 200+ interviews with identical 5-7 level laddering methodology per conversation. No moderator drift, no fatigue bias, no leading questions. Every interview maintains the same probing depth at $20 each.
How do market researchers eliminate knowledge silos across studies?
Every study feeds a searchable intelligence hub where cross-study patterns compound automatically. Query across all past research to answer questions like 'what do we know about premium perception?' in seconds, not weeks.
How Market Researchers use
User Intuition
Consumer Insights
Map purchase motivations, brand perception, and unmet needs with 200+ in-depth interviews per study. Qual depth, quant confidence.
Concept Testing
Test product concepts, packaging, and messaging with real consumers. Multi-concept A/B/C studies with consistent methodology.
Brand Health Tracking
Monitor brand perception, awareness, and consideration continuously — not just in quarterly waves. Detect shifts as they happen.
Market Intelligence
Continuous competitive intelligence across markets. Understand how consumers perceive your brand vs. competitors in real time.
Competitive Intelligence
Run head-to-head perception studies. Understand switching triggers, competitive positioning gaps, and share-of-mind dynamics.
Shopper Insights
Map shopper missions, purchase triggers, and brand switching behavior at the shelf. Go beyond transaction data to understand intent.
How Does User Intuition Compare to Online Surveys, Qual Agencies, and DIY Interview Tools for Market Researchers?
| Dimension | User Intuition | Online Surveys | Qual Research Agencies | DIY Interview Tools (Zoom + NVivo) |
|---|---|---|---|---|
| Depth of Insight | 30+ min · 5-7 laddering levels per respondent | Closed-ended, surface-level responses | Deep but limited to 15-30 IDIs per project | Deep but inconsistent across moderators |
| Time to Insights | 48-72 hours from design to structured findings | 2-4 weeks fielding + analysis | 4-12 weeks from briefing to final report | 4-8 weeks including recruit, conduct, and manual coding |
| Cost per Study | From $200 ($20/interview) | $2-$5 per response, large samples needed | $15K-$75K per project | $5K-$20K (moderator time + tools + recruit) |
| Scale | 200+ depth interviews at 30+ min each | 2,000+ responses, shallow depth | 20 IDIs or 4-6 focus groups typical | 15-30 interviews before researcher fatigue |
| Coding and Analysis | Automated thematic coding in seconds | Pre-coded closed questions, limited analysis | Manual coding by agency team, days of work | Manual transcript coding in NVivo, days of work |
| Sample Quality | Multi-layer fraud prevention, 98% satisfaction | Panel fatigue, speeders, bots | High quality but small sample | High quality but small sample, recruit delays |
| Methodological Consistency | Identical probing across every interview | Consistent questions, no probing | Varies by moderator skill and energy | Varies by researcher, day, and interview fatigue |
| Knowledge Retention | Searchable Intelligence Hub across all studies | Raw data exports, no synthesis | Decks in shared drives, lost in 90 days | Files scattered across tools, no cross-study search |
From research question to evidence-backed findings
Design the Study
Define your research question, target audience, and any stimulus materials. Our AI builds the discussion guide with 5-7 level laddering structure — designed to surface the depth you need with the consistency traditional moderation can't match.
AI Conducts the Interviews
Each participant completes a 10-20 minute AI-moderated voice interview. The AI adapts dynamically to each respondent while maintaining methodological consistency across every conversation — no moderator drift, no leading questions.
Analyze Evidence-Backed Findings
Receive structured thematic analysis with segment breakdowns, consumer verbatims, and evidence-traced findings. Every insight links back to the exact respondent quotes — so your stakeholders can verify the evidence themselves.
Build Compounding Research Knowledge
Every study feeds a searchable intelligence hub. Cross-study patterns emerge across projects. Your team builds on prior research instead of repeating it. New researchers onboard by querying institutional knowledge.
"We tested three packaging concepts in 72 hours and discovered one design was perceived as cheaper than competitors — despite premium positioning. User Intuition saved us from a costly repositioning disaster before we went to production."
Eric O., COO, RudderStack
When Should You Use AI-Moderated Interviews for Market Research — and When Shouldn't You?
AI-moderated interviews deliver consistent, scalable qualitative research for the studies that drive most business decisions. Human moderation remains valuable for exploratory and sensitive contexts.
AI-Moderated Interviews Are Best For
- Large-scale qualitative studies (50-300+ interviews)
- Multi-market research in 50+ languages with identical methodology
- Concept, messaging, and packaging evaluation
- Continuous tracking and longitudinal studies
- Studies where moderator consistency is critical
- Rapid-turnaround research for time-sensitive decisions
Consider Other Methods When
- Exploratory research with no defined hypothesis
- Ethnographic and in-context observation research
- Sensitive health, financial, or trauma-related topics
- Co-creation and generative design sessions
- Senior executive or C-suite respondents (B2B)
- Research requiring physical product interaction
Most market researchers use AI interviews for 80% of qualitative studies and reserve human moderation for exploratory research and sensitive topics.
Research that compounds
with every study you run
In 48-72 hours, get the depth of qual at the scale of quant. Every study builds a searchable knowledge base your team reuses forever.
See AI-moderated interviews in action. We'll walk through methodology, sample quality controls, and how the Intelligence Hub works.
Launch a study in 10 minutes. Results in 48-72 hours. Judge the methodology yourself.
No contract · No retainers · Results in 48-72 hours
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