Prompt: Executive Summary from Dense Research
A summarisation prompt for compressing dense research into an executive brief without flattening the key caveats, risks, or implications.
Use cases
Research & Analysis, Strategy & Planning
Platforms
Claude, GPT, Model-Agnostic
Jump to a section
The resource
Copy and adapt. Do not paste blind.
Summarise the supplied research for an executive reader who wants signal, not detail.
Requirements:
- Prioritise findings by decision relevance, not by source order.
- Preserve uncertainty, caveats, and contradictory evidence.
- Separate facts from interpretations.
- Keep the summary concise but not misleading.
Return:
1. Executive summary in 5-7 bullets
2. Most important supporting evidence
3. Business implications
4. Risks and caveats
5. Open questionsWhen to Use This
Use this when someone senior needs the shape of the research quickly, but you do not want a shallow summary that removes the uncertainty that actually matters.
It works well for market scans, competitor analysis, customer interviews, internal research packs, and vendor evaluations.
Why It Works
The prompt focuses on decision relevance because dense research often contains interesting detail that is operationally unhelpful.
The separate risks and caveats section is what stops the executive summary from becoming overconfident. Without that, the model tends to smooth away the uncertainty.
How to Customise
Add a target audience like founder, head of sales, or product lead if you want the implications section framed more precisely.
If the research is especially messy, require a short evidence table under each key point.
Limitations
This prompt compresses. Compression always loses detail. It is useful for briefings, not as a substitute for the underlying research pack.
It also cannot resolve weak or conflicting source material by itself. Someone still has to judge the evidence.
Model Notes
Claude is particularly good at preserving nuance while staying concise.
GPT works well if you constrain the output length tightly. Model-agnostic overall as long as you keep the structure explicit.
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