What's New
Product updates, new features, and improvements to ReadingMinds.AI
New Whitepaper: Your Churn Is Rising. But NPS Is 72.
Our second whitepaper explores five emotion-based metrics that predict churn and expansion where NPS cannot. Built on the ReadingMinds Emotional Fingerprint, these signals detect risk hiding inside 'satisfied' scores.
New Whitepaper: Critical Considerations When Evaluating Voice AI Platforms
Our first whitepaper is a buyer's guide for evaluating voice AI research platforms. Includes a 12-point vendor checklist, a real churn study ($846K ARR at risk), and security buying criteria.
ReadingMinds Academy
A free, 4-lesson program that teaches you how to design high-impact voice interviews inside the ReadingMinds platform, from research goals to a polished, launch-ready study.
Emotion Tag Intensity Scores
Every emotion tag now displays an intensity score (1–9), so you can see how strong each detected emotion is. Hover over any tag in the dashboard to see the exact score and the source transcript excerpt.
CSV Export for All Interview Data
Export raw transcripts, emotion tags, sentiment scores, and AI-generated themes as CSV. Available from the Study dashboard → Export menu. Includes all conversations with full category coding.
Interview Guide Co-Creation with Emma
Instead of writing your interview guide from scratch, you can now create one interactively with Emma. Describe your research goals and she'll suggest questions, probing strategies, and screener criteria.
Faster Real-Time Dashboard
Insights Dashboard now loads 3x faster with streaming updates. As interviews complete, themes and sentiment scores appear in real-time without page refresh.
PEP Score Launch
Introducing the Purchase Enthusiasm Potential score, a new metric that measures emotional energy and buying readiness in respondent voices. High PEP = high intent; Low PEP = sadness or negative sentiment.
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