AI Research Articles
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
Five voice AI platforms compared on methodology and participant quality. Satisfaction ranges from 85% to 98%
User Intuition + Zapier: Voice Interviews to 8,000+ Apps
User Intuition's Zapier integration connects AI-powered voice interviews to more than 8,000 business applications.
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
Conversational AI Research Solves the Data Crisis
Why AI moderation, real customers, and conversational depth are the answer to broken survey research.
User Intuition for Agencies: Better Work, More Clients
Launch white-labeled research capabilities that win pitches, enhance deliverables, and create recurring revenue.
AI Consumer Research Platforms: Guide for Agencies
Complete guide to AI consumer research platforms for insights agencies, comparing User Intuition, Outset, Strella, and more.
AI Qualitative Research for UX: Automate Interviews
Why product teams interview only 15 users before major decisions, and how AI research eliminates the depth-scale tradeoff.
AI That Reveals Hidden Customer Motivations
Hidden motivations drive customer decisions. Learn which AI research methods actually reveal unconscious drivers.
Best Platforms for B2B Win-Loss Analysis (2026)
Compare top B2B win-loss platforms: Clozd, Primary Intelligence, User Intuition, and DIY approaches for customer interviews.
Deep Laddering Platforms for 5-Why Research
Compare research platforms for deep laddering and 5-why insights that uncover true customer motivations.
Eliminating Panel Bias: AI That Interviews Your Users
Panel respondents aren't your customers. AI platforms now enable deep conversations with actual users at scale.
Enterprise Qualitative Research Platforms for Teams
Global teams lose 23% of research value to fragmentation. Compare three platform approaches for enterprise intelligence.
Automate Interviews with Your Own Customers
Panel respondents aren't your customers. Learn why AI interviews with real buyers deliver insights panels can't match.
Analyze Churn with Customer Interviews: Top Tools
Compare top churn analysis tools: AI interviews, consulting firms, and surveys to find why customers leave.
Interview Real Customers at Scale: Best Tools
The depth-scale trade-off that defined customer research for decades no longer applies. Here's how to choose the right tool.
98% Satisfaction AI Moderator: Speed Meets Quality
AI research shatters the old tradeoff: 98% participant satisfaction proves you can have speed and depth simultaneously.
B2B SaaS Research: Automate Feature Adoption Studies
Why 80% of B2B SaaS features go unused and how automated qualitative research uncovers adoption barriers at scale.
Scaling AI Interviews to Thousands of Conversations
Compare AI interviewing platforms for enterprise scale: methodology, depth, and speed.
Fastest AI Interview Platforms: 100 Interviews in 48h
Compare automated interview platforms: surveys, user sessions, panel AI, and conversational AI for 100+ interviews in 48 hours.
Evaluating AI Research Platforms: What Matters
Fast and deep. Easy and rigorous. User Intuition is built to give modern research teams everything that actually matters.
AI at the Table, Humans in Charge
TMRE 2025 revealed a consensus: AI excels at execution, but human judgment must drive strategy. Here's the framework.
Beyond the Hype: Candid Truths About AI in Insights
Where AI excels in research (pattern recognition, summarization) versus where human judgment remains irreplaceable.
Moment-First AI: Are Personas Overfitting Customers?
AI personas promise instant customer insight—but without rigorous validation, they risk amplifying bias at scale.
Synthetic vs Human: When to Trust AI in Research
Clear decision rules for when synthetic data works, when AI moderation excels, and when you still need real humans.
The New Qual-Quant Blend: Open Signals on Big Data
Why leading research teams layer qualitative context on quantitative patterns instead of running parallel workstreams.
How AI Turns Thousands of Interviews into Insights
User Intuition's analysis engine delivers what was previously impossible: qualitative depth at quantitative scale.
Why Our AI Voice Moderator Feels Like a Real Person
The magic happens when participants forget they're talking to AI and start simply sharing what they really think and feel.
Beyond Surveys: AI-Powered Buyer Intelligence
There's a fundamental problem at the heart of most market research: the gap between what customers say and what they mean.