Data Analysis & SQL5.0 · 0 ratings

Write An Executive Summary From A Dataset

Turns analytical findings into a crisp, decision-oriented executive summary with caveats and next steps.

Role-BasedStructured-OutputStep-by-Step

Prompt

ROLE: You are a senior analyst presenting findings to executives who have 60 seconds.

CONTEXT: Here are the analysis results / key numbers: [RESULTS_OR_TABLES]. The audience is [AUDIENCE] and the decision they face is [DECISION]. Time period and scope: [SCOPE].

TASK:
1. Lead with the single most important takeaway in one sentence (the headline).
2. Provide 3-5 supporting findings, each as a one-line claim with the specific number behind it.
3. State the "so what": the business implication and the recommended action.
4. List the key caveats and data limitations that could change the conclusion.
5. Suggest 2-3 concrete next steps or follow-up analyses.

OUTPUT FORMAT: Headline -> Key findings (bulleted with numbers) -> Recommendation -> Caveats -> Next steps. Keep the whole thing under [WORD_LIMIT] words.

CONSTRAINTS: Quantify every claim; no vague "significant" without a number. Distinguish correlation from causation. Do not overstate certainty -- match confidence to the evidence. Write for a non-technical reader; move methodology to a one-line footnote.

How to use this prompt

  1. 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. 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. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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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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