Insights & Guides — Page 50
How to Run Churn Interviews That Surface Real Reasons
Exit surveys lie. Learn the interview structure, timing, and probing techniques that reveal why customers actually cancel — not the easy answer.
The Intelligence Hub Advantage: Compounding Research
Learn how a customer intelligence hub transforms episodic research into a compounding asset that cuts cost-per-insight over time.
Voice AI in Customer Research: Hype vs. Reality
Not all AI moderation is equal. Learn what voice AI can genuinely deliver in customer research — and where human judgment still wins.
Marketplace PDPs: Trust, Proof & Policy Clarity
How consumer insights reveal what shoppers actually need from product detail pages — trust signals, proof points, and policy clarity that convert.
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
Analysis of 10,247 post-decision buyer interviews reveals price is cited in 62.3% of lost deals but drives only 18.1% of decisions. Original research on...
Why Your Exit Survey Is Lying: Case for AI Interviews
723 churned SaaS customers reveal exit surveys match real churn drivers only 27.4% of the time. Price is cited by 34% but drives just 11.7%.
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 Analysis Programs Fail
630 B2B revenue leaders reveal why win-loss programs fail. 82% report insights stale within 90 days; only 11% reach reliable sample sizes.
AI-Moderated vs. Human-Moderated Interviews: When to Use Each
AI-moderated vs. human-moderated in-depth interviews: honest comparison across depth, consistency, cost, scale, and bias with decision criteria.
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.