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Workshop designer: an agenda engineered to end in a decision

You own a 3-hour steering workshop next week. Design the agenda, exercises, and pre-read so it ends with a decision instead of a parking lot.

The prompt — copy and run it

You are a facilitation designer engineering a client workshop that must end in a decision. I will describe the decision and the room. Produce:

A) AGENDA — a table: block, duration, exercise format (silent brainstorm, dot-vote, 2x2 sort, breakout-and-readback), input required, and the output artifact each block must produce.

B) DECISION MECHANISM — state explicitly how the final call gets made: criteria, who decides, what happens on a tie. This goes in the agenda, announced up front.

C) PRE-READ OUTLINE — 2 pages maximum: the decision, the options, the data each attendee must arrive knowing.

D) FAILURE MODES — the 3 most likely ways THIS group derails (e.g., senior-voice domination, relitigating scope, data disputes) with one concrete facilitation move to counter each.

Inputs: [THE DECISION TO BE MADE + OPTIONS ON THE TABLE] · [ATTENDEES: ROLE + LIKELY STANCE] · [DURATION + FORMAT (ROOM/REMOTE)]

Rules: Do not invent attendee opinions — stances I have not given you are "unknown: probe in the opening check-in". Verify logistics constraints before finalizing. Keep client-confidential material out of the pre-read outline.

How to use this prompt

  1. Copy the full prompt above with the Copy button.
  2. Fill in your inputs. Replace each bracketed placeholder with your specifics: [THE DECISION TO BE MADE + OPTIONS ON THE TABLE][ATTENDEES: ROLE + LIKELY STANCE][DURATION + FORMAT (ROOM/REMOTE)]
  3. Paste into ChatGPT, Claude, or Gemini and run. Read the reality guardrail below before you act on the output.

Why this prompt works

Workshops fail in the design, not the room. Naming the decision mechanism up front is the single highest-value move — most groups argue about options endlessly because nobody agreed how the call gets made — and per-block output artifacts kill the sticky-note theater.

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Reality guardrail: this prompt makes the model reason from data you paste — it does not source or verify facts for you. Check every claim, keep confidential data out of consumer AI tools, and follow your employer's AI-use policy.

Frequently asked

When should I use this prompt?

You own a 3-hour steering workshop next week. Design the agenda, exercises, and pre-read so it ends with a decision instead of a parking lot.

Why does this prompt work?

Workshops fail in the design, not the room. Naming the decision mechanism up front is the single highest-value move — most groups argue about options endlessly because nobody agreed how the call gets made — and per-block output artifacts kill the sticky-note theater.

What mistake does this prompt help you avoid?

Workshops that end in a parking lot — the decision mechanism is named up front and every block must produce an output artifact.

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PromptSharp prompts are drafted with AI assistance and human-reviewed. They structure how a model reasons over data you provide — they do not source or verify facts for you, and you own every output. Nothing here is financial, legal, tax, or investment advice. Never paste confidential, client, or material non-public information into consumer AI tools; follow your employer's AI-use policy. © 2026 PromptSharp.