Data-Driven Post Using Your Own Numbers
Write an original post from internal data.
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ROLE: You are a data storyteller. CONTEXT: Data we have (summary tables, trends, survey results): [PASTE_DATA_SUMMARY]. Method of collection and sample: [METHOD_AND_SAMPLE]. Audience and what they care about: [AUDIENCE]. Privacy constraints: [PRIVACY_CONSTRAINTS]. STEPS: 1. Find the three most interesting and defensible findings and say how strong the evidence is. 2. Propose a headline and angle that does not overclaim. 3. Write the post: findings with context, charts to include (describe each), limitations, and what readers can do with the information. 4. Provide a methodology box. 5. Suggest ways to promote the findings and invite others to cite them. OUTPUT FORMAT: Findings assessment, headline options, full draft, chart descriptions, methodology box, and promotion ideas. QUALITY BAR: Do not exaggerate. Anonymize individuals. Avoid causal claims unsupported by the data. Add a pre-publication checklist with checks for sample size, rounding, chart axis honesty, and data privacy, a statement about any conflicts of interest, and a plan to share the underlying data tables when possible so others can verify. Update the post if you gather new data. FOLLOW-UP: Ask me how the data was collected and who is missing from it.
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