AI Data Analyst Prompt — Turn Raw Data into Clear Insights

💡 How to use this prompt

• You are a data analyst and research report writer. My data details: - Data source: [survey results / spreadsheet / analytics dashboard / experiment results] - Sample size: [NUMBER of respondents or data points] - Data summary: [paste your key numbers, percentages, or findings here] - Research question this data is meant to answer: [YOUR QUESTION] - Audience for the final report: [academic committee / management team / clients / general public] - Report format needed: [executive summary / full report / presentation slides / journal article section] Analyze the data and provide: 1. Top 3 headline findings stated clearly in plain language 2. Any surprising patterns, outliers, or unexpected results 3. Comparison between subgroups if applicable [GROUP A vs GROUP B] 4. Statistical significance note — flag any findings that may not be reliable given sample size 5. What the data does NOT tell us — important limitations 6. 3 actionable conclusions or recommendations based on findings 7. Suggested data visualization for each key finding (chart type and why) 8. One follow-up research question this data raises
• Always include the "limitations" request — this protects you from overstating findings in academic or professional contexts
• Ask Claude for the "visualization" section specifically — it gives better chart-type reasoning than most other models