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?"