Data Storytelling Narrative

Turn analysis results into a compelling narrative

🧪 Tested by a human Intermediate 👤 Analyst 👤 Manager
Take these analysis results: [DESCRIBE FINDINGS]. Turn them into a data story for [AUDIENCE]. Include: (1) The headline insight (one sentence), (2) Why it matters (so what), (3) The evidence (charts and numbers), (4) What caused it, (5) What to do about it. Write for people who do not love data.

Works on

⭐ M365 Copilot (Best)

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Tips for Best Results

  • Start with the so what not the methodology
  • One insight per page or slide
  • Use charts that support the narrative

📎 More Prompts

A/B Test Results Analyser

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Analyse this A/B test: Control [A METRICS] vs Variant [B METRICS]. Determine: (1) Statistical significance (p-value), (2) Confidence interval, (3) Effect size, (4) Sample size adequacy, (5) Winner recommendation with caveats, (6) Whether to continue testing.
⭐ M365

Analyse Dataset for Top Insights

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Analyse this data and give me the top [NUMBER — 3 / 5] insights. For each insight explain: what the data shows, why it matters, and what I should do about it. Include a supporting chart or visualisation for the most impactful finding. Write for [AUDIENCE — management / the team / a technical audience].
⭐ M365

Benchmark Comparison

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Compare our metrics against industry benchmarks. Our data: [PASTE KEY METRICS]. Industry: [INDUSTRY]. For each metric: (1) Our value, (2) Industry benchmark, (3) Percentile ranking, (4) Gap analysis, (5) Whether the gap matters and what to do about it. Flag where we significantly lag or lead.
⭐ M365
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