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Whitepapers
Research and buyer guides from ReadingMinds.AI. Download instantly, no form required.
2026 Buyer’s Guide
Critical Considerations When Evaluating Voice AI Research Platforms
How to choose a platform that reveals why customers buy, stall, or churn. A practical guide for research, product, marketing, RevOps, and CX teams that need faster customer truth with evidence they can trust.
What's inside
- •7 critical evaluation criteria for voice AI platforms
- •Churn study case example with $846K ARR at risk
- •12-point vendor checklist you can use in procurement
- •Security, compliance, and governance buying criteria
Download PDF9 pages · PDF · No form required
2026 NPS & Emotion Intelligence
Your Churn Is Rising. But NPS Is 72. Five Emotion Metrics Explain Why.
Why the most trusted metric in customer success is hiding your biggest revenue risks, and the five emotion-based signals that reveal what NPS cannot see. Includes a one-week pilot framework and before-and-after Emotional Fingerprint spidergrams for each metric.
What's inside
- •Five emotion metrics that predict churn and expansion before NPS can
- •Before-and-after Emotional Fingerprint spidergrams for each metric
- •One-week pilot framework: from account selection to retention playbook
- •Real case study: $846K at-risk ARR found in 48 hours
Download PDF11 pages · PDF · No form required
2026 Messaging Playbook
The Messaging Truth Gap: How to Test B2B Positioning Before You Waste Your Budget
How do you validate positioning, value props, headlines, sales stories, and launch language with real emotional reactions before your spend is locked? Built for CMOs, product marketers, founders, brand teams, and revenue leaders who want faster message-market truth with evidence they can trust.
What's inside
- •7 critical considerations for testing B2B positioning
- •How to capture emotional signals that reveal conviction vs. polite agreement
- •Reaction pattern table: what buyer reactions mean and what to do next
- •13-point messaging validation checklist, from study design to ship
Download PDF11 pages · PDF · No form required
2026 Technical Backgrounder
The Science Behind the Emotional Fingerprint: How ReadingMinds Detects and Scores Emotion in Voice
How does ReadingMinds turn a live voice conversation into a single emotion label and intensity score for every conversational turn? This technical backgrounder explains the two-layer architecture, the signal types it captures, the classification and scoring models, and the privacy principles that keep customer data safe.
What's inside
- •Two-layer architecture: multi-modal signal extraction + proprietary classification engine
- •Six-emotion taxonomy chosen for business decisions, not academic completeness
- •Per-label intensity regressors with 1–9 scoring
- •Evaluation checklist for technical buyers, data teams, and security reviewers
Download PDF16 pages · PDF · No form required
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