Meeting Transcript Analyzer

Clayside • 15 May, 2025

Prompt Overview

This prompt helps analyze meeting transcripts by automatically segmenting speakers and extracting key action points. It's particularly useful for meeting documentation, project management, and team coordination.

Use Cases

  • Meeting documentation
  • Action item tracking
  • Team collaboration
  • Project management
  • Record keeping

Prompt Structure

You will be given a meeting transcript that needs to be automatically segmented by speaker and analyzed for key action points. Your task is to divide the transcript by speaker, identify the main contributors, and generate brief action points based on their contributions.
Here is the meeting transcript:
<transcript>
{{TRANSCRIPT}}
</transcript>
Follow these steps to complete the task:
1. Identify speakers:
 - Look for speaker names or identifiers at the beginning of each dialogue line.
 - If speakers are not explicitly named, assign them unique identifiers (e.g., Speaker 1, Speaker 2).
2. Segment the transcript:
 - Group consecutive lines from the same speaker together.
 - Start a new segment when a different speaker begins talking.
3. Format the segmented transcript:
 - Use the following format for each segment:
   <speaker>
   [Speaker Name or Identifier]
   [Speaker's dialogue, which may span multiple lines]
   </speaker>
4. Identify key speakers:
 - Determine the main contributors based on the frequency and substance of their contributions.
5. Generate action points:
 - For each key speaker, create 1-3 brief action points based on their most important contributions or decisions made during the meeting.
 - Action points should be clear, concise, and actionable.
6. Provide the output:
 - Present the segmented transcript first, followed by the action points.
 - Use the following format for the action points:
   <action_points>
   [Speaker Name or Identifier]:
   - [Action point 1]
   - [Action point 2]
   - [Action point 3]
   </action_points>

Example Usage

Input:
<transcript>
John: We need to update the website by next week.
Sarah: I can handle the design updates. Should take about 3 days.
John: Great, and Mike, can you review the content?
Mike: Yes, I'll review it by Thursday.
Sarah: I'll also need access to the new brand assets.
</transcript>

Output:
<segmented_transcript>
<speaker>
John
We need to update the website by next week.
</speaker>
<speaker>
Sarah
I can handle the design updates. Should take about 3 days.
</speaker>
<speaker>
John
Great, and Mike, can you review the content?
</speaker>
<speaker>
Mike
Yes, I'll review it by Thursday.
</speaker>
<speaker>
Sarah
I'll also need access to the new brand assets.
</speaker>
</segmented_transcript>

<action_points>
John:
- Follow up on website update progress by next week
Sarah:
- Complete design updates within 3 days
- Obtain access to new brand assets
Mike:
- Review website content by Thursday
</action_points>

Variables

  • {{TRANSCRIPT}}: The raw meeting transcript

XML Tags Used

  • <transcript>: Contains the input meeting transcript
  • <speaker>: Wraps each speaker's segmented dialogue
  • <segmented_transcript>: Wraps the entire processed transcript
  • <action_points>: Contains the extracted action items

Optimization Tips

  • Clean input formatting
  • Use clear speaker identifiers
  • Focus on actionable items
  • Maintain consistent output formatting

Best Practices

  • Contextual understanding
  • Prioritize important tasks
  • Clear attribution
  • Highlight time-sensitive items

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