meeting-insights-analyzer

To analyze meeting transcripts for speaking ratio and filler words, you parse transcripts with speaker labels and timestamps to compute communication metrics, identify recurring behavior patterns, and generate a synthesis report with timestamped examples and improvement suggestions.

From meeting recordings, you can extract communication insights such as speaking ratios, interruptions, filler word frequency, question-to-statement ratios, active listening indicators, and sentiment, delivered with timestamped examples and concrete improvement suggestions.

Yes, you can track communication pattern trends across multiple meetings by comparing recurring behaviors like conflict avoidance, speaking ratios, and turn-taking over time, generating trend reports that show progress or regression for coaching and performance reviews.

Yes, speaker labels and timestamps are required to analyze meeting transcripts because the skill parses them to compute speaking ratios, identify interruptions accurately, and provide timestamped examples of communication patterns and leadership facilitation behaviors.

The best way to evaluate leadership facilitation and meeting control is to analyze meeting transcripts for question-asking patterns, decision-making approaches, active listening indicators, and meeting control quality, producing actionable feedback with timestamped examples for coaching.

Conflict avoidance and dominating conversation behavior are identified by parsing meeting transcripts for speaking ratios, interruptions, turn-taking patterns, and question-to-statement ratios, surfacing recurring behaviors with timestamped examples and concrete improvement suggestions.