Audit my recurring meetings and decide which to cut, shorten, or redesign
Reviews your whole set of recurring meetings and recommends which to keep, cut, merge, shorten, or move async to win back time.
The prompt
Audit my recurring meetings and tell me which to keep, cut, merge, shorten, or move to async.
My role and main priorities this quarter: [ROLE, 2-3 PRIORITIES]
My recurring meetings: [LIST EACH: name, frequency, length, number of attendees, my role (organizer / required / optional), what it is for, what usually happens. A calendar export pasted as text works.]
Hours per week I want to win back: [e.g. "4 hours"]
Meetings I cannot change: [e.g. "my manager's staff meeting"]
For each meeting, assess:
- Purpose: decision, problem-solving, alignment, relationship, or information sharing.
- Value to my priorities (High / Medium / Low).
- Overlap with other meetings on the list.
- Whether I need to attend, or whether someone else or a written update could cover it.
- Weekly time cost for me and total cost for all attendees.
Return:
1. Audit table: | Meeting | Hours/week (me) | Purpose | Value | Recommendation (Keep / Shorten / Reduce frequency / Merge with X / Move async / Delegate / Leave / Cancel) | Reason |
2. Total hours saved if I follow the recommendations, against my target.
3. Redesigns for the 2-3 meetings worth keeping but fixing: new purpose, length, attendees, and agenda format.
4. Messages I can send: one to an organizer to propose a change, one to step out of a meeting politely, and one to my team announcing changes to meetings I own.
5. A simple rule for accepting new recurring invites in future.
Base time figures only on what I provide; do not invent attendance or costs.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Meetings prompts
What to fill in
- ROLE, 2-3 PRIORITIES
- e.g. "4 hours"
- e.g. "my manager's staff meeting"
How this prompt is built
This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.
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