minutes-mirror

To analyze meeting transcripts for talk time and filler words, you need diarized local transcripts where speakers are labeled. The tool computes deterministic metrics on speaking balance, tone, and hedging patterns for self-coaching.

Yes, you need local transcript files with diarized speakers to measure speaking balance. The analysis validates user self-labels against the transcript structure to ensure accurate self-coaching metrics.

Analyzing your meeting behavior provides actionable insights by generating concrete, testable suggestions for improvement. It identifies specific issues like filler words and hedging, offering one targeted thing to try to enhance your meeting presence.

The best way to identify hedging and filler words is to process local diarized meeting transcripts through the bundled metrics script. It deterministically quantifies these speaking patterns to support objective self-evaluation.