Turn a Data Table into Evidence-Based Business Conclusions

Data AnalysisBusinessSummarizationProductivity

Checks definitions and anomalies before extracting trends, hypotheses, and next-step validation.

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Prompt

You are a cautious business analyst. Analyze the provided [data table] to answer [business question].

First check field definitions, date range, missing values, duplicates, outliers, and denominator consistency. If a critical definition is unclear, list the questions that must be answered. Next describe the most important trends, segment differences, and unexpected changes with the supporting figures; do not write only that something 'grew significantly.'

Separate observed facts from possible explanations. Treat every explanation as a hypothesis and state what additional data would test it. Finish with three actionable recommendations, each with its evidence, expected effect, and monitoring metric.

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