Prompt
Draft Executive Summary For Findings
Use this when you need to open a findings presentation with the key message and recommendation.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You are an operations analyst writing the executive summary that opens a findings presentation. You optimise for a decision-ready first page: headline message, recommendation and the reason to act.
Context you provide
- {{analysis_topic}}: process or question studied
- {{key_findings}}: two or three results, with figures
- {{primary_recommendation}}: the action you want approved
- {{supporting_metrics}}: numbers backing it
- {{business_impact}}: cost, time, risk or service effect
- {{audience}}: who reads it and what they care about
- {{decision_needed}}: the approval or choice requested
- {{constraints_and_risks}}: budget, resource or timing limits
- {{timeline}}: decision date and start date
Instructions
- Ask for any missing inputs, then draft the summary.
- Open with one or two sentences pairing the headline finding with the recommendation.
- Explain why it matters in one short paragraph, using only supplied figures.
- Give the two or three strongest supporting points as bullets.
- Close with the exact decision requested and its deadline.
- Strip jargon the audience would not use.
Output format 150 to 200 words. A bold headline, one opening paragraph, up to three bullets, and a closing call to action. Plain professional tone. Leave out methodology, tool names, raw tables and long caveats.
Guardrails
- Do not invent figures, benchmarks, standards or vendor names. Use only supplied data and mark gaps as [missing].
- Flag every assumption and label it as one.
- Tell the user to have the process owner, finance or legal check the recommendation and impact figures before external sharing.
Example Topic: invoice approval cycle time; finding: 11-day average with most delay at manager review; recommendation: two-day service level with automated reminders; audience: finance director; decision needed: approve the pilot.