meeting-insights-analyzer

Meeting transcript analysis parses text, markdown, vtt, srt, and docx files with speaker labels to identify recurring behaviors like conflict avoidance, filler word usage, conversation dominance, and missed listening opportunities. It transforms raw transcripts into actionable behavioral insights.

Yes, meeting analysis processes vtt and srt recording files directly, provided they include speaker labels and timestamps. It parses these formats to detect conversation dominance and generate timestamped actionable feedback for improving communication.

Tracking communication insights across multiple meetings involves analyzing transcripts sequentially to compare evolving patterns over time. This trend tracking identifies recurring behaviors like conflict avoidance and speaking ratios, yielding actionable feedback for leadership development.

Transcript analysis detects conflict avoidance and filler word usage by evaluating text clarity, directness, and speaking ratios against speaker labels and timestamps. It identifies specific instances of these behaviors and provides targeted suggestions for improvement.

Meeting analysis works with raw docx files, alongside text, markdown, vtt, and srt formats. The primary requirement is that files contain speaker labels and timestamps to accurately parse conversation dynamics and generate actionable feedback.

Meeting analysis requires speaker labels and timestamps to accurately attribute dialogue, calculate speaking ratios, and provide timestamped examples of communication patterns. Without these, the tool cannot reliably detect conversation dominance or missed listening opportunities.