Voice analytics refers to the systematic analysis of spoken audio to surface patterns in language, emotion, and delivery that inform consumer understanding. In qualitative research, voice analytics goes beyond transcription to examine prosodic features such as pitch variation, speech rate, pause frequency, and tonal shifts that signal confidence, uncertainty, or emotional intensity. Within the consumer intelligence category, these signals help researchers identify moments of genuine resonance or discomfort that participants may not articulate directly. When applied at scale across hundreds of interviews, voice analytics transforms raw conversation data into structured, evidence-backed findings that support faster and more credible decision-making for insights and CMI teams.