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Dataset Hypothesis Generator
Suggests what to look for in a dataset before you dig in.
Universal
Claude
ChatGPT
Gemini
Grok
💡 The original prompt — works in any model. Start here, then tune per model.
Fill in the blanks — your answers carry across every model
Dataset Description
Decision
I'm about to analyze this dataset: {DATASET DESCRIPTION} The decision it should inform: {DECISION} Before I dive in, give me: 1. The 5 questions most worth answering, ranked by decision-impact. 2. For each, the cut/segment or chart that would answer it. 3. The traps in this kind of data (survivorship, seasonality, Simpson's paradox, etc.) and how to avoid them here. 4. The one finding that would most change the decision. Keep me from confusing correlation with cause.
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