Turn-taking is the invisible dance of who speaks when—smooth conversations have balanced exchanges where both people get air time, while interruptions or frequent topic hijacking create imbalance that often breeds frustration. Noticing these patterns in your own exchanges reveals whether you're genuinely dialoguing or one person is managing the conversation.
Turn-taking patterns describe the unspoken rules that govern who speaks when in a conversation, while interruption patterns reveal how those rules get violated and what that signals about power, engagement, or frustration between speakers. Imbalances in these patterns are a leading cause of feeling unheard in relationships.
AI tools can analyze transcripts or conversation summaries to surface whose voice dominates, who gets cut off, and how those dynamics shift across different emotional contexts, helping you address structural communication problems that go unnoticed in the moment.
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