Decision-Ready Customer Truth
in 48 Hours.

No agency timelines. No survey guesswork. AI voice interviews that capture what customers actually feel, so you can fix churn, sharpen messaging, and unblock pipeline, with every finding traceable to its source.

Insights in hoursUnder 1% of agency costEvery finding traceable
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Free plan: 10 interviews/mo, no credit card

What you're doing today

$25–30K

per qualitative study

6–8 weeks

from brief to findings

15–30%

survey response rate

With ReadingMinds

$399

for 200 voice interviews

48 hours

from launch to cited insights

90%+

completion rate

Trusted by Customer Success, Product, and Marketing teams at growth-stage and enterprise B2B companies

What ReadingMinds Does for Your Team

Not features. Outcomes that show up in your revenue, your retention, and your next board deck.

48 Hours, Not 8 Weeks

Emma conducts dozens of voice interviews in parallel with adaptive probing. Launch a study in the morning, get cited insights the next day. A study that costs $25–30K via traditional agencies costs $399 with ReadingMinds.

Insights in 48hrs vs. 6 weeks previously

Head of Product, $40M ARR Growth-Stage Fintech

Emotional Depth, Not Surface Sentiment

Emma detects neutral signals in accounts that still score 7–8 NPS. She notices the hesitation before a polite answer, the enthusiasm behind a real commitment, or the confrontational emotion that signals a decision to leave was already made.

3 at-risk accounts caught in week 1

VP of Customer Success, $85M ARR B2B SaaS

Every Finding Traceable to Its Source

Click any insight in a ReadingMinds report and see the exact customer quote, timestamp, and emotion tag. No black boxes, no hallucinations, no 'where did this come from?' questions in the Executive Leadership Team meeting.

100% cited findings for C-suite presentations

Director of Market Research, $500M Enterprise Software

Experience it yourself. 3 minutes.

Talk to Emma, get your emotion-tagged report, and decide with evidence.

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6-Minute Product Demo

How It Works

Surveys, NPS, and focus groups miss it entirely. Not keyword sentiment. Not self-reported mood. Voice signal analysis that captures what words alone hide. This is the foundation of the ReadingMinds Emotional Fingerprint™.

Customer said:

“Support's been fine.”

Emma detected:
Neutral / Intensity Score 5/9

Likely truth: “I don't feel taken care of anymore.”

She decided to leave three months ago. The survey just documented the exit. Now you can fix the relationship, not just the ticket queue.

What You Get: Inside a ReadingMinds Report

Not a slide deck where research goes to die. A real-time, updated report with every finding traceable to its source.

Executive Summary

Board-ready overview with key findings, risk signals, and recommended actions.

Theme Clusters

Auto-grouped by topic with emotion tags showing how participants felt about each theme.

Segment Breakdowns

Compare emotional patterns across customer cohorts, industries, or account tiers.

Cited Quotes

Every finding links to the exact customer quote with timestamp and intensity score.

PEP Scores

Purchase Enthusiasm Potential scores by segment: a leading indicator of intent and churn risk.

Structured Data Export

CSV and API-ready output for your CRM, BI tools, or data warehouse.

Stu Sjouwerman, CEO of ReadingMinds
Every company says they listen to customers. Very few really are able to. We built ReadingMinds because the most important signal in a customer conversation is not what they say; it's how they say it. The pauses, the hesitation, the shift in energy. That's where the truth lives, and that's what we capture.

Stu Sjouwerman

CEO, ReadingMinds

Why Voice, Not Video

Most AI interview platforms default to video. We chose voice deliberately. Here is why.

Cameras trigger performance bias

Participants self-censor on video. They perform for the camera, soften criticism, and filter honesty. Voice removes the stage and lets candor surface.

Emotion hides in tone, not facial expressions

Sadness, anger, and enthusiasm live in pacing, word choice, and vocal inflection. Video adds visual noise; voice isolates the emotional signal.

3 minutes, not 30

No scheduling, no lighting checks, no “can you see my screen?” Participants talk from anywhere in under 3 minutes. That is why completion rates exceed 90%.

Voxpopme, one of the largest video research platforms, publicly acknowledges that AI moderation struggles with “emotional depth” and “emotionally charged topics.” That is the exact problem ReadingMinds was built to solve.

Questions Buyers Ask Before They Start

Do people actually talk to an AI? What’s the response rate?

We see excellent completion rates. Participants often prefer an interactive voice chat over a boring form. It feels like a conversation instead of a chore. 93–97% of participants say the AI experience feels as good as a human moderator.

Are people more honest with an AI than a human interviewer?

Surprisingly, many people open up more. An AI won’t judge or rush them, so participants feel comfortable being candid. It’s like talking to a patient, curious listener; we often get frank insights that might have been watered down for a human.

How do you avoid AI hallucinations in the insights?

We’re strict about traceability. Every insight ties directly to customer quotes; you can click from a finding to the exact supporting language. If it can’t be supported by what customers actually expressed, it doesn’t belong in the findings. No black box.

What languages do you support?

At launch we support English (American and British dialects). We’re already working on adding more languages: emotion is universal, and we’re training Emma to recognize cultural nuances as we expand. Global language support is on the near-term roadmap.

More Questions

Start Your First Study for Free

10 voice interviews, full emotion analysis, cited report. No credit card, no sales call, no commitment.

Every quarter without voice data is another quarter misdiagnosing churn.

No permanent recordings storedSOC 2 Type II (in progress)GDPR · CCPA · HIPAADPA available
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