Sentimetrics analyzes tone of voice, speech content, and facial expressions to detect customer emotions in real time and measure service quality across every interaction.
Every interaction shapes brand perception; manual monitoring rarely reveals true customer emotions.
Sentimetrics captures interaction data, transcribes speech, analyzes emotion, and delivers live insight.
Audio & video intake.
Speech-to-text conversion.
Identifies emotional state.
Delivers real-time signals.
Monitors customer mood live across calls.
Measures in-store customer experience.
Surfaces stress & anxiety signals in patients.
Catches emotional signals in critical client calls.
Quantifies service-team performance from data.
Measures audience reaction to talk and content.
Audio is auto-transcribed across multiple languages; downstream layers consume the text for semantic and emotional analysis.
Speakers are auto-separated; tone, content, and facial expression combine into positive / neutral / negative scores.
When a negative emotion signal is detected, managers receive instant notifications; teams intervene before the issue escalates.
Emotion trends, satisfaction score, and interaction volume are surfaced on shared dashboards for crews and leadership.
Data privacy, anonymization, and regulatory compliance are managed to the highest standards; analytics align with regulatory requirements.
Audio & video data is ingested from call centers, points-of-sale, and other channels.
AI transcription feeds the analysis layer.
Tone, content, and facial expression are jointly analyzed; an emotion class is assigned.
Results are surfaced through dashboards and reports to the teams.
Negative signals trigger instant notifications to managers.
Analyze emotions across customer interactions with Sentimetrics; monitor service quality in real time.
