Customer Intelligence Platform

AI Interviews for Always-On Customer Intelligence

User Intuition conducts natural voice and video interviews to uncover why customers buy, leave, switch, and stay. Every conversation builds a permanent, searchable intelligence hub — delivering enterprise-grade qualitative insights in 48-72 hours.

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98% participant satisfaction

Insights in 48-72 hours

Enterprise-grade depth at scale

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Satisfaction

▲ 2.1%

Turnaround

▲ 3.5%

Cost Savings

▼ 1.2%

Response Trend 7 days

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Win/Loss

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NPS

Brand

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95% Cost Savings ▲ 2.1%

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What It Is

What User Intuition Is

User Intuition is an AI-moderated research platform that runs voice and video interviews at scale and turns them into evidence-backed insights you can search, share, and act on. Every conversation feeds a compounding customer intelligence hub — so research builds institutional knowledge instead of disappearing into slide decks.

The platform's AI interviewer adapts dynamically to each participant, using laddering methodology refined through Fortune 500 consulting experience. It probes 5-7 levels deep to move beyond surface answers and uncover the emotional and identity-driven motivations behind customer behavior.

Teams source participants flexibly — import your own customer lists for deep experiential insight, recruit from a global vetted research panel for independent validation, or blend both in a single study. Advanced fraud prevention including bot detection, duplicate suppression, and professional respondent filtering ensures data quality regardless of source.

Unlike competitors where each study is an isolated project, every conversation compounds into the same searchable intelligence system. New hires access years of insights on day one. Product teams validate against historical data. Marketing identifies proven language patterns. The intelligence asset grows more valuable with every conversation.

Why Traditional Research Breaks at Scale

An estimated 30-40% of online survey data is now compromised by AI bots and professional survey-takers, while over 90% of valid insights disappear within 90 days.

Compromised Data Quality

30-40% of survey data is compromised. AI bots pass quality checks 99.8% of the time, rendering traditional quantitative methods unreliable.

Weeks-Long Timelines

4-8 weeks per study means insights arrive after the decision window closes. Sprint cycles and campaign timelines can't wait.

Surface-Level Metrics

Surveys show what happened but can't uncover the why. Without depth, teams build on assumptions instead of understanding.

Knowledge Disappears

90%+ of insights are lost within 90 days — trapped in slide decks, buried in emails, or walking out the door with employees.

Results

Representative Outcomes

What teams measure after switching to AI-moderated research.

Higher retention

15-30%

By understanding actual (not assumed) exit drivers

More engineering productivity

40-60%

By validating before building

Better campaign ROI

20-40%

Through message testing with real customers

Faster onboarding

10x

Through searchable institutional knowledge

Process

How It Works

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

5 min

Design Your Study

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

24-72 hrs

AI Conducts Interviews

Our AI interviewer adapts dynamically to each participant, probing deeper when responses suggest underlying insights. 24/7 across any timezone.

Seconds

Get Evidence-Backed Intelligence

Receive themes, sentiment, competitive mentions, verbatim quotes, highlight reels, and presentation-ready recommendations within seconds of completion.

Use Cases

What Teams Use User Intuition For

Win-Loss Analysis

Uncover the real reasons deals are won or lost through candid AI-moderated buyer interviews at scale.

Win rates improved 23% in one quarter

Churn & Retention Research

Interview churned and at-risk customers to understand actual exit drivers by segment, tenure, and use case.

15-30% higher retention

UX Research at Scale

Test prototypes with screen-sharing, capture emotional responses, and identify usability friction at scale.

40-60% more engineering productivity

Shopper & Consumer Insights

Understand shopping missions, path-to-purchase friction, value perception, and switching triggers.

First-mover advantage from early signals

Concept & Message Testing

Test creative concepts, messaging frameworks, and value propositions with real customers before committing budget.

20-40% better campaign ROI

Brand Health Tracking

Track brand perception, competitive positioning, and category dynamics through continuous AI-moderated conversations.

1-5% market share gains vs competitors

Methodology & Trust

When AI Helps and When a Human Should Lead

AI-moderated interviews are transforming how organizations collect customer intelligence — but they're not the right tool for every research question.

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's platform runs voice and video interviews at scale, using laddering methodology to probe 5-7 levels deep, and delivers evidence-backed insights in 48-72 hours — while building a permanent, searchable intelligence hub from every conversation.

AI-moderated interviews achieve 98% participant satisfaction — often exceeding human-moderated sessions — because participants feel less social pressure and judgment. AI moderation is best for structured feedback at scale: win-loss, churn, concept testing, and satisfaction research. Human moderation remains preferable for messy exploratory discovery, highly sensitive topics, and situations where the interview script needs to evolve substantially mid-conversation.

Most teams run their first interviews within 24 hours of setup. Insights are available within seconds of interview completion. A full study of 20+ interviews typically delivers presentation-ready insights in 48-72 hours, compared to 4-8 weeks for traditional qualitative research.

User Intuition supports flexible participant sourcing. Import your own customer lists from your CRM for deep experiential insight, recruit from our global on-demand research panel for unbiased third-party validation, or blend both in a single 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.

Every study produces full transcripts, audio/video recordings, AI-generated theme summaries, sentiment analysis, competitive intelligence, and presentation-ready recommendations. The searchable intelligence hub lets any team member query historical findings conversationally.

A traditional 20-participant qualitative study costs $15,000-$27,000 and takes 4-8 weeks. The equivalent on User Intuition starts at approximately $1,000 and delivers insights in 48-72 hours — a 93-96% cost reduction.

User Intuition's methodology was refined through Fortune 500 consulting engagements. The AI uses open-ended questioning, non-leading language, sophisticated probing techniques, and emotional intelligence calibrated against human-moderated research standards.

AI moderation eliminates several forms of bias inherent in human-moderated research: interviewer leading, social desirability effects, moderator fatigue, and inconsistent probing across interviews. The AI follows consistent methodology while adapting dynamically to responses.

No — and that's by design. AI-moderated interviews handle the structured, scalable collection that consumes the bulk of research operations. This frees your researchers to focus on what humans do best: designing research programs, interpreting complex patterns, conducting sensitive discovery work, and translating insights into organizational strategy.

Get Started

Add the Voice of Your Customer to Every Decision

Book a 15-minute demo and see how teams are replacing $25K research projects with 48-hour AI-moderated intelligence. Or start free with 3 interviews — no credit card required.

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