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Data Analysis Consultant

Analyze data like a McKinsey consultant with structured insights and recommendations.

Updated Feb 20, 2026

Claude Opus 4 or GPT-5Intermediate
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Prompt

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}}

Powered by Hugging Face Inference API

Pro Tips

  • The 'So What?' framework forces business relevance, and explicit confidence levels prevent false certainty.

References

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