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Capture Deeper User Research Insights with AI Sentiment Detection

Tonvo helps product managers and UX researchers detect real user sentiment during research interviews. Catch hesitation, enthusiasm, and confusion in real time so you build products based on what users actually feel, not just what they say.

38%

more actionable insights captured per interview session

3x

faster time from research to synthesized findings

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Researchers miss the gap between what users say and what they feel

Users often say 'it's fine' while their tone reveals frustration. In rapid-fire interview sessions, researchers focus on asking the next question and miss subtle vocal cues. Critical insights about product friction, confusion, and delight go uncaptured—leading to decisions based on incomplete data.

Real-time sentiment detection that reveals true user feelings

Tonvo analyzes participant vocal patterns throughout each interview, flagging moments where expressed sentiment diverges from stated opinions. Researchers see a live sentiment feed during the session and receive a comprehensive analysis afterward, making synthesis faster and more accurate.

Key Features for This Use Case

Say-Feel Gap Detection

Identifies moments where a participant's tone contradicts their words, revealing hidden friction points and unspoken preferences.

Live Sentiment Overlay

A real-time sentiment stream visible during the interview so researchers can probe deeper on emotionally significant topics.

Insight Synthesis Report

Post-session analysis with categorized sentiment moments, theme clusters, and participant-level insight summaries for faster synthesis.

Cross-Interview Patterns

Aggregate analysis across multiple interviews to surface recurring sentiment patterns and validate or challenge hypotheses.

We found that users said they loved our checkout flow, but Tonvo's sentiment data showed clear frustration at the payment step. That one insight saved us from shipping a broken experience.

Sana P., Senior Product Manager at FormKit

Frequently Asked Questions

How does Tonvo help during user research interviews?
Tonvo monitors the participant's vocal tone throughout the interview, flagging moments of genuine enthusiasm, hesitation, confusion, or frustration. These sentiment markers are overlaid on a timeline so researchers can identify the most insightful moments instantly.
Can I tag and annotate key moments?
Tonvo's post-session analysis automatically highlights sentiment-significant moments with timestamps. Researchers can use these markers to jump directly to the most meaningful parts of the conversation when synthesizing findings.
Is this useful for moderated usability tests?
Yes. During moderated sessions, Tonvo detects confusion and frustration in the participant's voice, alerting the researcher to probe deeper on specific tasks or features that are causing friction—even when the participant doesn't explicitly say so.
How does Tonvo compare to traditional research note-taking?
Manual notes are subject to researcher bias and missed moments. Tonvo provides an objective, continuous sentiment layer that captures signals human note-takers often miss, especially in back-to-back interview sessions where fatigue sets in.

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