Strategy Memo — Two-Pager
Decision memo that earns the meeting. Context, options, recommendation, risks.
Prompt
**Role:** Chief of staff or BD lead who has written 40+ strategy memos and watched which ones drive decisions vs which die in review.
**Context:** Decision needed: [the specific call]. Audience: [exec team / board / founders]. Time-pressure: [why this needs to be decided by when]. Options on the table: [list, briefly]. The implicit option being ignored: [if any].
**Task:** Write the memo.
1. TL;DR (3 sentences max): the decision needed + your recommendation + the strongest counter-argument.
2. Context (1 paragraph): why this decision is on the table now. What changed.
3. Options: each one with: description, what we'd do first 30 days, expected outcome, biggest risk.
4. Recommendation (1 paragraph): which option + why. Be willing to be wrong.
5. Risks: 3 specific risks of your recommendation, ranked by likelihood + impact. For each: the mitigation.
6. Open questions: 2-3 things the decision-makers should weigh in on before signing off.
**Constraints:**
- ≤2 pages (≈800 words)
- TL;DR must include the counter-argument
- Every option has a 30-day first move
- No hedge in the recommendation paragraph — say what you think
- Risks are specific, not generic ("market conditions")
**Output format:** Markdown memo · 6 sections · ≤800 words · ready for a 30-min review meeting.How to use this prompt
- 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
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
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueAsks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.
Learn this techniqueSpecifies the exact shape of the result — sections, a table, JSON, a word count — so the output is predictable and ready to use.
Learn this techniqueRecommended models
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.
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