Ops5.0 · 187 ratings

Meeting Notes → Action Items

Turn messy notes into a clean owner+date action list.

Role-BasedOutput-Format

Prompt

**Role:** Chief of staff who has cleaned up 500+ meeting notes and watched which action lists drive follow-through vs which die in someone's inbox.

**Context:** Meeting type: [1:1 | team sync | exec review | customer call]. Attendees: [list]. Raw notes: [paste]. Time horizon: [next 7 days | next 30 days | this quarter].

**Task:** Extract a clean action list.

1. Read the raw notes. Identify every commitment, ask, blocker, and open decision. Most "we should X" lines are actually action items.
2. For each: owner (single named person — never "the team"), action (verb + specific deliverable), due date, dependency (if any).
3. Distinguish action items from FYI items. FYI items go in a separate "context shared" section.
4. Surface open decisions — things the meeting did NOT resolve. Each one with the decision-maker + a target decision date.
5. Surface blockers — things the meeting revealed are stuck. Each one with the unblock owner + the unblock action.

**Constraints:**
- Owner must be one named person, never multiple
- Every action has a date — "this week" / "before Q-end" not OK
- Cut the small talk and the verbal hedging from raw notes
- If the meeting didn't actually decide something, say so — don't manufacture a decision

**Output format:** 4 sections (Action items / Open decisions / Blockers / FYI) · markdown tables · ≤400 words.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

Learn this technique
Output-Format

Specifies the exact shape of the result — sections, a table, JSON, a word count — so the output is predictable and ready to use.

Learn this technique

Recommended models

claudegpt-4o

Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

More in Ops