Conversation intelligence tools capture audio from calls and meetings, convert speech to text, and apply analytics to surface actionable insights. Teams use these tools for distinct but overlapping goals: sales leaders want deal intelligence and rep coaching (key moments, objection patterns, next-step tracking); support managers monitor quality, compliance, and time-to-resolution; product teams mine recurring feature requests, bugs, and sentiment to prioritize roadmaps. In practice, buyers evaluate solutions on transcription accuracy, multi-language support, real-time vs batched analysis, and how well the platform extracts structured outputs—summaries, action items, sentiment scores, and topic clusters. Integrations are a major determinant of value: tight CRM integration can auto-log activities and feed pipeline forecasts, while ticketing and knowledge-base hooks enable automated article suggestions or escalation workflows. Compliance features (redaction, storage controls, audit trails) matter for regulated industries. Equally important are enablement capabilities—playback with highlights, coaching playlists, scorecards, and manager workflows—that turn recorded insights into behavior change. Finally, analysis depth varies: some tools emphasize high-level analytics and dashboards for leaders; others provide fine-grained conversational analytics (turn-taking, talk-to-listen ratios, interruption detection) for coaching. When comparing options, buyers should map vendor strengths to concrete use cases—e.g., improving win rates through seller coaching, reducing repeat support contacts, or accelerating product decisions from voice-of-customer signals—while assessing deployment, privacy controls, and ongoing operational costs.