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Meeting Notes to Action Items Converter

Transforms messy meeting notes into clear decisions and action items.

Best For

  • A project manager coming out of a client call pastes the raw transcript in to get owners, deadlines, and priorities sorted into a table before the team forgets who agreed to what
  • An executive assistant uses it after every leadership sync to produce the follow-up email draft so decisions get communicated within the hour, not the next day
  • A remote team lead running async standups converts scattered Slack notes into a single structured summary that surfaces open questions still needing an answer

Prompt Template

Convert the following meeting notes or transcript into a structured summary. Output: (1) Meeting overview in 2-3 sentences, (2) Key decisions made, (3) Action items as a table with columns: Task, Owner, Deadline, Priority (High/Medium/Low), (4) Open questions that need follow-up, (5) A suggested subject line and 3-sentence follow-up email draft. Be concise and use clear, direct language. Meeting notes: [PASTE NOTES OR TRANSCRIPT]

Pro Tip

Paste the raw, unedited transcript rather than your own summary, since the model catches commitments and side comments that get lost when a human pre-filters the notes.

Example Output

A sample of what this prompt produces once you fill in the placeholders.

Meeting overview: The team reviewed Q3 onboarding metrics and agreed to simplify the signup flow. Key decisions: cut the signup form from 6 fields to 3; delay the referral program to Q4. Action items table: Redesign signup form - Maria - July 11 - High; Draft referral program brief - James - Aug 1 - Medium. Open questions: Should the referral incentive be cash or credit? Follow-up subject line: 'Q3 Onboarding Changes - Action Items Inside'.

How to use this prompt

  1. Copy the prompt template using the button above.
  2. Paste it into your preferred AI assistant (ChatGPT, Claude, Gemini, etc.).
  3. Replace all bracketed placeholders like [TOPIC] with your specific details.
  4. Send the prompt and refine the output as needed.