Use Case
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
The Problem
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.
The Solution
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?
Can I tag and annotate key moments?
Is this useful for moderated usability tests?
How does Tonvo compare to traditional research note-taking?
Related Resources
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