Customer Research Insights & Guides
Frameworks, methodology deep-dives, and practitioner guides for teams running AI-moderated customer research. From win-loss analysis to churn diagnosis to shopper insights — built on experience with hundreds of customer conversations.
Editor's Picks
Our most impactful pieces on AI-moderated customer research.
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Episodic Research Taxes You: Compounding Research Wins
Most research teams pay an episodic tax—starting from zero every project. Here's how a customer intelligence hub turns research into a compounding moat.
Why 'Price' Is Almost Never the Real Reason You Lost the Deal
Price is cited in 60%+ of lost deals, but drives fewer than 20% of decisions. AI-moderated win-loss research reveals what buyers actually mean.
Why Your Exit Survey Is Lying to You: The Case for AI Interviews
Exit surveys blame price. AI-moderated churn interviews reveal the truth. Learn why 30-minute depth conversations expose what 2-question surveys never can.
The Death of the 6-Week Research Cycle: AI-Moderated Interviews
The death of the 6 week research cycle: AI-moderated interviews deliver insights in 48 hours instead of 6-8 weeks, eliminating research lag.
The Data Quality Crisis: 30-40% of Survey Responses Unreliable
The research data quality crisis: why 30-40% of survey responses are unreliable. Learn how bot farms corrupt data and conversational AI offers solutions.
Why Win-Loss Programs Fail: Intelligence Infrastructure Gap
Why win loss analysis programs fail: intelligence infrastructure gaps prevent insights from driving action. Learn the real reasons.
AI-Moderated vs. Human-Moderated Interviews: When to Use Each
AI moderated vs human moderated interviews: compare depth, consistency, cost, and bias to choose the right approach for your needs.
Voice AI for Consumer Research: How It Works
How voice AI conducts adaptive consumer interviews, why voice data captures what surveys miss, and what to expect from cost, speed, and quality.
What Are AI-Moderated Interviews? The Complete Guide
Everything you need to know about AI-moderated interviews: how they work, the three modalities, laddering methodology, data quality, and when to use them.
Best Voice AI Tools for Consumer Research in 2026
Discover the best voice AI tools for consumer research in 2026. Compare five leading platforms on methodology, participant quality, and satisfaction rates.
User Intuition + Zapier: Voice Interviews to 8,000+ Apps
User Intuition's Zapier integration connects AI-powered voice interviews to 8,000+ apps. Automate workflows and streamline data collection effortlessly.
How Our AI Thinks Like a World-Class Researcher
World-class researchers don't just ask questions they employ proven frameworks of social science, psychology, and behavioral econ
Deep Dives by Research Area
Structured collections of our best thinking, organized by discipline.
AI-Powered Research
When to use AI moderation, how it compares to human-led research, and the platforms leading the shift to conversational intelligence.
Research Methodology
Laddering techniques, qual-quant blending, and the frameworks behind research that actually drives decisions.
Customer Intelligence Systems
Building institutional memory that compounds across studies, teams, and years — so research insights never go to waste.
Data Quality & Panel Integrity
Bot contamination, panel bias, and the data quality crisis reshaping how teams think about research sourcing.
Industry Trends
Strategic shifts in the consumer research landscape — where the industry is heading and what it means for insights teams.
Research Operations
Scaling research teams, managing capacity, and the operational frameworks that turn insights functions into strategic assets.
Common questions
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