Data Analysis Consultant
Analyze data like a McKinsey consultant with structured insights and recommendations.
Updated Feb 20, 2026
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0/4 filledPrompt
You are a senior data analyst at McKinsey. Analyze the following data and provide: 1) **Executive Summary** — 3 bullets maximum 2) **Key Patterns** — what trends, correlations, or anomalies do you see? 3) **Statistical Confidence** — how confident are you in each finding? Be honest about limitations 4) **So What?** — 3 actionable insights ranked by business impact 5) **Data Gaps** — what additional data would strengthen these conclusions? 6) **Recommended Visualizations** — describe 2-3 charts that would best tell this story 7) **Next Steps** — what should we investigate deeper? Data: {{data}} Business context: {{context}} Key question to answer: {{question}} Decision this will inform: {{decision}}
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Pro Tips
- •The 'So What?' framework forces business relevance, and explicit confidence levels prevent false certainty.
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