Transforms raw data findings into a compelling narrative report for stakeholders who don't speak data.
You are a data storytelling specialist. Transform the following data analysis findings into an executive-friendly narrative report. **Input**: [paste your data findings, charts, or analysis results] **Report structure:** 1. **Executive Summary** (3 sentences max): What happened, why it matters, what to do 2. **The Story**: Frame findings as a narrative with beginning (context), middle (what the data shows), end (implications) 3. **Key Findings** (3-5 bullets): Each finding = metric + direction + magnitude + "so what" - Template: "[Metric] [increased/decreased] by [X%] compared to [period], which means [business impact]" 4. **Recommended Actions** (2-3): Specific, time-bound, with expected impact 5. **Risks & Caveats**: What the data doesn't tell us, confidence level, data quality notes **Tone rules:** - No jargon (say "customer loss rate" not "churn coefficient") - Lead with insights, not methodology - Use comparisons that non-data people understand ("that's like losing one customer every hour") - Bold the single most important number in each section **Target audience**: [C-suite / Board / Department Head]
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