AI-Moderated Research Platform for Qualitative Insights at Scale
Run voice and video interviews that probe 5-7 levels deep, recruit from a highly selective 4M+ global panel or your own customers, and get presentation-ready insights in 24-48 hours — at a fraction of traditional agency cost. Every conversation feeds a permanent, searchable intelligence hub that compounds over time.
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What Is an AI-Moderated Research Platform?
An AI-moderated research platform is a system that conducts live customer conversations using AI that adapts questions dynamically, probes 5-7 levels deep with structured laddering methodology, and compounds every conversation into searchable, evidence-backed intelligence. User Intuition's platform handles the full research lifecycle — from participant recruitment to AI-moderated interviews to a compounding customer intelligence hub — delivering qualitative depth at quantitative scale.
Why Traditional Qualitative Research Can't Keep Up
Research teams face mounting pressure to deliver faster insights across more touchpoints — but the tools haven't kept pace.
Scheduling Bottleneck
Coordinating calendars between moderators and participants creates weeks of delay before a single interview happens.
Inconsistent Moderation
Different moderators probe at different depths. Interview quality varies based on fatigue, experience, and personal style.
Insights Trapped in Silos
Each study produces a standalone report that gets filed away. There's no cumulative knowledge base teams can search or build on.
Cost Limits Scale
Traditional in-depth interviews cost up to $1,500 per IDI at full service (Drive Research, 2026 industry benchmark) — meaning a 20-person study runs $10K-$30K. Most teams can only afford a handful of projects per year, leaving critical questions unanswered.
What Teams Value Most
What matters most to teams after switching to AI-moderated research.
From study launch to presentation-ready findings
Compared to traditional qualitative research
3-5x higher than traditional surveys
Interviews run across any timezone, any device
How It Works
From research question to evidence-backed intelligence in four steps.
Design The Study
Every study starts with a research plan. Define your objectives, select participant sources, and set screening criteria — our AI builds the discussion guide and timeline.
AI Conducts the Conversations
Each participant completes a 10–20 minute AI-moderated voice interview. The AI adapts questions in real time — voice, video, or chat — probing 5-7 levels deep.
Get Evidence-Backed Results
After interviews are complete, you receive a full research report with quantified findings, participant verbatims, and strategic recommendations.
Create Compounding Intelligence
Every study feeds your searchable intelligence hub. Query past research, surface patterns across studies, and re-mine interviews for new insights — so your customer knowledge compounds over time.
What the Platform Includes
Recruitment Options
Import your own customers, recruit from our highly selective 4M+ panel, or blend both in a single study.
Voice, Video & Chat
Three interview modalities. Participants choose what's natural. Screen-sharing for prototype testing.
Laddering & Probing
Structured laddering methodology that probes 5-7 levels deep, pursuing unexpected threads dynamically.
Analysis & Synthesis
Themes, sentiment, competitive mentions, verbatim quotes, and presentation-ready recommendations.
Intelligence Hub
Every conversation compounds into a searchable knowledge base. Query historical findings conversationally.
Integrations
Salesforce, HubSpot, Zendesk, Intercom, data warehouses, Zapier. Trigger interviews from CRM events.
Explore the Platform
Three pillars. One compounding intelligence system.
AI-Moderated Interviews
The methodology. Live voice, video, and chat conversations that probe 5-7 levels deep using structured laddering.
→Qual at Quant Scale
The scale. Hundreds of deep qualitative interviews simultaneously — qual depth at quant sample sizes.
→Customer Intelligence Hub
The system. Every conversation compounds into searchable, structured intelligence that survives team changes.
→Participant Recruitment
The recruiting layer. Access a highly selective 4M+ panel, screen for fit, and launch interviews in the same workflow for B2B or B2C studies.
→Multilingual Research
The reach. Native-language AI interviews in English, Spanish, Portuguese, French, German, and Chinese — with results in English.
→Video Interviews
The visual layer. AI-moderated video interviews with screen-share for live prototype testing, packaging reactions, and moments where seeing the participant matters.
→Connect AI Agents to Real Human Feedback
Any AI agent — ChatGPT, Claude, or Cursor — can now run real customer research on your behalf. Validate messaging, compare options, and test claims with real people, directly from your AI workflow.
Explore agentic research →Explore by Use Case
See how teams apply the platform to specific research challenges.
Win-Loss Analysis
Uncover the real reasons deals are won or lost.
→Churn & Retention
Understand actual exit drivers by segment.
→UX Research
Test prototypes and capture emotional responses.
→Shopper Insights
Map shopping missions and switching triggers.
→Concept Testing
Validate messaging and concepts with real customers.
→Brand Health
Track brand perception and competitive positioning.
→When Should AI Lead Research — and When Should a Human?
AI-moderated interviews are transforming qualitative research — but they're not the right tool for every question. Transparency builds more trust than pretending AI is universally superior.
AI-Moderated Interviews Excel At
- Structured feedback collection at scale
- Consistent methodology across hundreds of interviews
- Concept testing and prototype evaluation
- Win-loss, churn, and satisfaction analysis
- Multilingual research across timezones
- Eliminating interviewer bias and fatigue
Consider Human Moderation For
- Messy, exploratory discovery research
- Highly sensitive topics requiring real-time emotional judgment
- Deep domain nuance requiring specialized expertise
- High-stakes executive interviews requiring relationship building
- Topics where participant trust requires a named human
- Semistructured interviews where the script evolves mid-conversation
Methodology validated across 30,000+ AI-moderated interviews.
Original Studies, Real Participants
The Synthetic Mirage in Market Research
- 5 failure modes
- 117 real interviews
- 90 synthetic interviews
We compared 117 real voice interviews to 90 LLM-generated 'participants' across Claude, GPT, and Gemini. Synthetic data passed the smell test — and failed the comparison test on every dimension that matters.
OpenClaw: Why It Went Viral and What Consumers Actually Want
117 voice interviews on the consumer demand behind OpenClaw's 232K-star viral rise.
B2B Win-Loss ResearchWhy Price Is Almost Never the Real Reason You Lost the Deal
10,247 post-decision buyer interviews reveal a 44-point gap between stated and actual loss drivers.
Frequently Asked Questions
Related resources
Pillar Guides
Deep-dive guides covering this topic from strategy to execution.
Tools & Tactics
Practical frameworks and platform-specific guides for teams ready to act.
Alternatives & Comparisons
Side-by-side comparisons with competing platforms and approaches.
Related Solutions
Complementary research use cases that pair with this topic.
Industries
See how teams in specific verticals apply this research.
Platform Capabilities
The platform features that power this type of research.
See How User Intuition Works for Your Team
Book a demo to see a real study built live, or start free with 3 interviews.
Launch your first study in minutes. No scheduling bottlenecks.