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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 & Expression 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 expression-based signals that reveal what NPS cannot see. Includes a one-week pilot framework and before-and-after Expression Fingerprint spidergrams for each metric.
What's inside
- •Five expression metrics that surface churn risk and expansion opportunities before NPS can
- •Before-and-after Expression 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 expression signals 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 expression 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 Expression Fingerprint: How ReadingMinds Detects and Scores Emotion in Voice
How does ReadingMinds turn a live voice conversation into a single expression 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-expression 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
Research Reference Guide
The Complete Guide to Question Bias: 48 Types Every Researcher Must Know
A practical reference for designing unbiased surveys, interviews, and questionnaires. Based on the landmark NIH research by Choi & Pak (2005), adapted for modern voice interview and survey design.
What's inside
- •48 bias types organized by source: question design, questionnaire design, and administration
- •Real examples for every bias type with concrete fixes
- •16-point bias prevention checklist for pre-launch QA
- •Covers leading language, framing, recall bias, social desirability, and 44 more
Download PDF10 pages · PDF · No form required
Positioning Field Guide
The Two-Step Positioning Survey: Why You Need To Ask Your Customers First
A field guide for marketers who are tired of guessing what their customers care about. Inside: the proven two-step survey methodology that built billion-dollar brands, two worked examples (TANK PHONE and the Daytona racing car), and the canonical 5 steps you can run on your own customer base in 48 hours.
What's inside
- •Why the HOOK is different from the MESSAGE, and why most marketers skip Attention in AIDA
- •Step 1 — Hook Discovery: 5 questions to ask your existing paying customers
- •Step 2 — Positioning Survey: the canonical 5 steps to find your comparison object
- •Worked examples: TANK PHONE ($0 to $30M) and the Daytona racing car
Download PDF6 pages · PDF · No form required
Privacy-Safe, Verifiable Signals That Gate AI Agent Actions
The Decision Evidence Layer
AI agents are advancing fast, but their failure rate is not driven by capability. It is driven by poor inputs at the moment of decision. This procurement-ready paper defines the Decision Evidence Layer (DEL): a privacy-first system that converts raw voice interactions into verifiable, auditable signals, cryptographically signed, policy-scoped, and queryable by agents before any action is taken.
What's inside
- •The five principles: minimize, prove, scope, gate, trace
- •Five-stage architecture from capture to audit, with the evidence schema
- •Procurement-ready Evidence Pack: sample bundle, policy, retention, audit trace
- •12-point DEL adoption checklist, plus four KPIs to publish on day one
Download PDF13 pages · PDF · No form required
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