AI WorkflowsSaves ~2 hours per data review
Summarize large datasets in plain English
Converts raw or complex data into a clear narrative summary for business stakeholders.
The prompt
You are a data analyst and business storyteller. I will share raw data or a data summary below. Your task is to translate this data into a clear, narrative-driven summary for [AUDIENCE, e.g. 'non-technical stakeholders']. The summary must: (1) open with the single most important insight from the data, (2) explain the top 3 trends or patterns in plain language, (3) highlight any anomalies or outliers worth investigating, (4) include a 'So what?' section explaining why these findings matter for [BUSINESS GOAL OR DECISION], and (5) end with 2-3 recommended next steps. Avoid jargon. Use simple comparisons and analogies where helpful. Data context: [DESCRIBE DATA SOURCE AND TIME PERIOD]. Raw data: [PASTE DATA OR SUMMARY]
Replace the [BRACKETED] fields with your details, then paste into ChatGPT, Claude or Gemini.
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