Platform

AI-Moderated Research Platform for Qualitative Insights at Scale

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

5-7 level laddering methodology
Voice, video, and chat modalities
4M+ vetted global panelists
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Study Dashboard 3 Active
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▲ 3.5%
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▼ 1.2%
Response Trend 7 days
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Capital One
RudderStack
Nivella Health
Turning Point Brands
BuildHer
Abacus Wealth
Definition

What Is an AI-Moderated Research Platform?

An AI-moderated interview is a live customer conversation facilitated by an AI system that adapts its questions dynamically based on participant responses. User Intuition's platform uses structured laddering methodology to probe 5-7 levels deep, then synthesizes findings into searchable, evidence-backed intelligence.

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.

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.

1

Scheduling Bottleneck

Coordinating calendars between moderators and participants creates weeks of delay before a single interview happens.

2

Inconsistent Moderation

Different moderators probe at different depths. Interview quality varies based on fatigue, experience, and personal style.

3

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.

4

Cost Limits Scale

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

Results

Representative Outcomes

What teams measure 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 three steps.

1
5 min

Design Your Study

Use our AI research agent or quick-start templates. Define objectives, select participant sources, set screening criteria.

2
24-72 hrs

AI Conducts Natural Interviews

The AI adapts dynamically to each participant — voice, video, or chat. Probes 5-7 levels deep using laddering methodology.

3
Seconds

Get Evidence-Backed Intelligence

Themes, sentiment, competitive mentions, verbatim quotes, highlight reels, and recommendations — available within seconds of completion.

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
Methodology & Trust

When AI Helps and When a Human Should Lead

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

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.
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.
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.
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.
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.
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.
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.
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.
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