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Product updates, new features, and improvements to ReadingMinds.AI
A 13-page field guide on why a message miss can wipe out revenue faster than teams realize. Features $1.33B+ in publicly documented damage from Peloton and Bud Light, the five ways messaging goes tone-deaf, the TD-01 to TD-10 risk taxonomy, and an 11-point pre-launch checklist.
The proven two-step survey methodology that built billion-dollar brands, including the TANK PHONE story, the Daytona racing car campaign, and the canonical 5 steps you can run on your own customer base in 48 hours.
A 6-page field guide on the proven two-step survey methodology that built billion-dollar brands. Features the TANK PHONE and Daytona racing car worked examples plus the canonical 5 steps you can run on your own customer base in 48 hours.
A 10-page reference guide covering 48 types of question bias, based on the landmark NIH research by Choi & Pak. Includes a 16-point prevention checklist.
Ask anything about ReadingMinds and get an instant AI-generated answer with links to the right pages. Available from the search icon in the nav or with Cmd+K.
Five free tools to help you write better invites, remove question bias, calculate sample sizes, pick research methods, and score survey questions. No login required.
How ReadingMinds turns a live voice conversation into a single emotion label and intensity score for every conversational turn. A technical backgrounder for buyers, data teams, and security reviewers.
How to test B2B positioning before you waste your budget. Seven critical considerations for validating messaging with real emotional reactions, plus a 13-point checklist.
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.
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.
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.
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.
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.
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.
Insights Dashboard now loads 3x faster with streaming updates. As interviews complete, themes and sentiment scores appear in real-time without page refresh.
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.
Experience the latest ReadingMinds capabilities first-hand.