Can I compare my performance across different months?

Yes, the skill is designed for trend tracking and can analyze multiple folders or time ranges to visualize your communication growth over time.

Does this skill require a specific transcription service?

No, it is agnostic and works with transcripts from any source, including Zoom, Google Meet, Otter.ai, Granola, or Fireflies.

What file formats does the Meeting Insights Analyzer support?

It supports common transcript formats including .txt, .md, .vtt, .srt, .docx, and plain text exports from major meeting platforms.

How does it identify conflict avoidance?

The skill scans for linguistic markers like hedging language ('maybe', 'sort of'), indirect phrasing, and instances where tension is ignored or topics are changed abruptly.

Meeting Insights Analyzer

Name: Meeting Insights Analyzer
Author: Jst-Well-Dan

byJst-Well-Dan

Productividad y Flujo de Trabajo

Analyzes meeting transcripts to uncover behavioral patterns, communication habits, and actionable leadership feedback.

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This skill transforms raw meeting transcripts into a professional development powerhouse by identifying recurring communication patterns such as conflict avoidance, speaking-to-listening ratios, and the use of filler words. By providing timestamped examples and synthesized summaries, it helps professionals, managers, and coaches track improvement in facilitation styles and interpersonal effectiveness over time across various meeting platforms.

Características Principales

Pattern recognition for conflict avoidance and hedging language
0 GitHub stars
Comparative analysis of communication trends across multiple time periods
Frequency tracking of filler words and hedging phrases
Identification of active listening indicators and clarifying questions
Automated calculation of speaking ratios and turn-taking metrics

Casos de Uso

Preparing for performance reviews with concrete data on communication growth
Identifying personal communication blind spots like interruptions or indirect feedback
Coaching team members on improving their meeting facilitation and inclusion

Acerca de

Características Principales

Pattern recognition for conflict avoidance and hedging language
0 GitHub stars
Comparative analysis of communication trends across multiple time periods
Frequency tracking of filler words and hedging phrases
Identification of active listening indicators and clarifying questions
Automated calculation of speaking ratios and turn-taking metrics

Casos de Uso

Preparing for performance reviews with concrete data on communication growth
Identifying personal communication blind spots like interruptions or indirect feedback
Coaching team members on improving their meeting facilitation and inclusion