Meeting Insights Analyzer

Analyze meeting transcripts to uncover communication patterns and actionable feedback.

When to Use

• Analyzing communication patterns across meetings

• Getting feedback on leadership/facilitation style

• Identifying conflict avoidance behaviors

• Understanding speaking habits and filler words

• Tracking improvement over time

• Coaching team members on communication

Pattern Recognition

Conflict Avoidance

• Hedging language ("maybe", "kind of", "I think")

• Indirect phrasing instead of direct requests

• Changing subject when tension arises

• Agreeing without commitment ("yeah, but...")

Speaking Ratios

• Percentage of meeting spent speaking

• Interruptions given and received

• Average speaking turn length

• Question vs. statement ratio

Filler Words

• Count "um", "uh", "like", "you know", "actually"

• Frequency per minute or speaking turn

• Situations where they increase

Active Listening

• Questions referencing others' points

• Paraphrasing or summarizing

• Building on contributions

• Clarifying questions

Leadership & Facilitation

• Decision-making approach (directive vs. collaborative)

• How disagreements are handled

• Inclusion of quieter participants

• Time management and agenda control

Analysis Output Format

Meeting Insights Summary

Analysis Period: [Date range] Meetings Analyzed: [X meetings]

Key Patterns Identified

1. [Pattern Name]

• Observed: [What was seen]
• Impact: [Why it matters]
• Recommendation: [How to improve]

[Pattern Example]

[Meeting Name] - [Timestamp]

What Happened:

[Actual quote from transcript]

Why This Matters: [Explanation of impact]

Better Approach: [Specific alternative]

Speaking Statistics

• Average speaking time: X% of meeting
• Questions asked: X per meeting
• Filler words: X per minute
• Interruptions: X given / Y received

Next Steps

1. [Concrete action]
2. [Concrete action]

Getting Transcripts

Source How to Get

Zoom Enable cloud recording with transcription

Google Meet Use auto-transcription, save docs

Fireflies.ai Export transcripts in bulk

Otter.ai Export and store locally

Best Practices

• Use consistent naming: YYYY-MM-DD - Meeting Name.txt

• Review monthly or quarterly for trends

• Focus on one improvement area at a time

• Keep sensitive meeting data local

Common Analysis Requests

• "When do I avoid difficult conversations?"

• "How often do I interrupt others?"

• "What's my speaking vs. listening ratio?"

• "Do I ask good questions?"

• "How do I handle disagreement?"

• "Am I inclusive of all voices?"

• "Do I use too many filler words?"