Platform

AI-Moderated Research Platform for Qualitative Insights at Scale

The depth of interviews. The speed of automation. Evidence you can cite.

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5-7 level laddering methodology

Voice, video, and chat modalities

4M+ vetted global panelists

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Depth Levels

▲ 2.1%

Panelists

▲ 3.5%

Delivery

▼ 1.2%

Response Trend 7 days

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Win/Loss

Churn

NPS

Brand

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48-72hrs Delivery ▲ 2.1%

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Definition

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.

The platform supports three interview modalities — voice, video, and chat — so participants can engage in the format most natural to them, on any device, at any time, across any timezone.

Teams source participants flexibly: import your own customer lists from CRM for deep experiential insight, recruit from a global vetted panel of 4M+ consumers for independent validation, or blend both in a single study. Multi-layer fraud prevention ensures data quality regardless of source.

Every conversation feeds the same searchable intelligence hub. Unlike project-based tools where each study starts from zero, User Intuition compounds knowledge — so new hires access years of insights on day one, and teams validate new findings against historical data.

The Problem

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

At $15K-$27K per study, most teams can only afford a handful of projects per year — leaving critical questions unanswered.

Results

What Teams Value Most

What matters most to teams after switching to AI-moderated research.

Time to insights

48-72 hrs

From study launch to presentation-ready findings

Cost reduction

93-96%

Compared to traditional qualitative research

Completion rate

30-45%

3-5x higher than traditional surveys

Global availability

24/7

Interviews run across any timezone, any device

Process

How It Works

From research question to evidence-backed intelligence in four steps.

5 min

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.

48-72 hrs

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.

Seconds

Get Evidence-Backed Results

After interviews are complete, you receive a full research report with quantified findings, participant verbatims, and strategic recommendations.

Ongoing

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.

See it in action →

Capabilities

What the Platform Includes

Recruitment Options

Import your own customers, recruit from our 4M+ vetted panel, or blend both in a single study.

Flexible sourcing for any research need

Voice, Video & Chat

Three interview modalities. Participants choose what's natural. Screen-sharing for prototype testing.

98% participant satisfaction

Laddering & Probing

Structured laddering methodology that probes 5-7 levels deep, pursuing unexpected threads dynamically.

Consistent depth across hundreds of interviews

Analysis & Synthesis

Themes, sentiment, competitive mentions, verbatim quotes, and presentation-ready recommendations.

Insights within seconds of interview completion

Intelligence Hub

Every conversation compounds into a searchable knowledge base. Query historical findings conversationally.

Institutional memory that grows with every study

Integrations

Salesforce, HubSpot, Zendesk, Intercom, data warehouses, Zapier. Trigger interviews from CRM events.

Insights routed to the right teams automatically

Go Deeper

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.

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Qual at Quant Scale

The scale. Hundreds of deep qualitative interviews simultaneously — qual depth at quant sample sizes.

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Customer Intelligence Hub

The system. Every conversation compounds into searchable, structured intelligence that survives team changes.

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Multilingual Research

The reach. Native-language AI interviews in English, Spanish, Portuguese, French, German, and Chinese — with results in English.

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Agent Interface

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 →

Solutions

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.

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Churn & Retention

Understand actual exit drivers by segment.

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UX Research

Test prototypes and capture emotional responses.

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Shopper Insights

Map shopping missions and switching triggers.

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Concept Testing

Validate messaging and concepts with real customers.

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Brand Health

Track brand perception and competitive positioning.

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Explore all solutions →

Methodology & Trust

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 refined through Fortune 500 consulting engagements.

FAQs

Frequently Asked Questions

What is an AI-moderated research platform?

An AI-moderated research platform conducts live customer interviews using conversational AI instead of human moderators. User Intuition runs voice, video, and chat interviews at scale using structured laddering methodology, delivering evidence-backed insights in 48-72 hours while building a permanent, searchable intelligence hub.

What interview modalities does User Intuition support?

User Intuition supports voice, video, and chat interviews. Participants can engage in whatever format is most natural to them, on any device, at any time. Video interviews include screen-sharing for prototype testing and concept evaluation.

How does the AI interviewer adapt to responses?

The AI uses laddering methodology to probe 5-7 levels deep. It dynamically pursues unexpected threads, follows up on emotional signals, and adjusts its questioning based on each participant's unique responses — delivering the depth of human interviews with the consistency of automation.

Can we import our own customers for interviews?

Yes. Import customer lists from your CRM for deep experiential insight, recruit from our 4M+ vetted global panel for independent validation, or blend both sources in a single study. Advanced fraud prevention ensures data quality regardless of source.

How does the intelligence hub work?

Every conversation feeds a searchable knowledge base. Teams can query historical findings conversationally, tag and route insights to relevant stakeholders, and validate new findings against historical data. The intelligence asset grows more valuable with every study.

What integrations are available?

User Intuition connects with CRMs (Salesforce, HubSpot), support systems (Zendesk, Intercom), data warehouses, and automation platforms (Zapier). The platform can automatically trigger interviews based on CRM events and route insights back to relevant teams.

Is the AI methodology rigorous enough for enterprise use?

User Intuition's methodology was refined through Fortune 500 consulting engagements. The AI uses open-ended questioning, non-leading language, and sophisticated probing techniques calibrated against human-moderated research standards. Reports include evidence trails suitable for board-level presentations.

How do you ensure data quality from panel respondents?

Multi-layer screening includes bot detection, duplicate suppression, professional respondent filtering, and attention checks. The conversational AI format itself provides a natural quality filter — surface-level or inattentive responses are probed further rather than accepted.

How much does User Intuition cost?

Studies start from approximately $200 for 20 AI-moderated interviews — a 93-96% cost reduction compared to traditional qualitative research ($15,000-$27,000). No monthly fees for self-serve. Enterprise plans with unlimited studies, dedicated support, and custom branding are available.

How long does it take to get results?

Most studies deliver evidence-backed insights within 48-72 hours. Setup takes as little as 5 minutes. Compare this to 4-8 weeks for traditional qualitative research — that's a 95% reduction in time to insights.

Explore More

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.

Industries

See how teams in specific verticals apply this research.

Platform Capabilities

The platform features that power this type of research.

Platform overview→

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