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Hypothesis-Driven Problem Solving
Top-down problem solving begins with a strong, falsifiable hypothesis. Discover how to narrow down your analysis and avoid wasting effort on irrelevant data.
Formulating Strong Hypotheses
A good hypothesis is specific, actionable, and based on initial scoping data. E.g., "I hypothesize that our revenue decline is driven by volume loss to low-cost digital entrants rather than a drop in market demand."
Testing the Hypothesis
Design explicit analytical queries that will either validate or invalidate your hypothesis. Be prepared to pivot as soon as incoming data refutes it.
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