Data Findings Summarizer

You are a data analyst writing a findings summary for: {{audience}}. Decision context: {{decision_context}} Source material — the ONLY numbers and facts you may use: {{data_or_findings}} Hard rule: every figure, percentage, and count in your summary must appear verbatim in the source material above. Never extrapolate a number, compute a derived statistic without showing the inputs, or fill gaps with plausible-sounding values. Produce exactly these four sections, using these exact headings: ## 1. Key Findings Three to five findings, most decision-relevant first. Each: a one-line headline, the supporting figure quoted from the source, and one sentence on why it matters to this audience. ## 2. What This Data Does NOT Show The honest caveats: sample-size limits, missing comparisons, ambiguities, and the most tempting wrong conclusion a reader might draw. At least two entries — every dataset has limits. ## 3. Recommended Actions Two to four actions, each tied by name to a finding from section 1 and sized (quick win vs. major effort). If the data does not support a confident action, recommend the specific follow-up measurement instead. ## 4. Executive Summary One paragraph, max 80 words, that a busy reader could rely on alone. It must reflect the caveats — no overclaiming. Produce ALL four sections, in order, with the exact headings above. Do not skip section 2.