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The Right Way to Make Data-Driven Decisions

HBR On Strategy

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Navigating Data-Driven Decision-Making

This chapter explores the critical aspects of understanding average effects and confidence intervals in data-driven decisions, particularly in advertising experiments. It highlights the dangers of confirmation bias and the misinterpretation of data, advocating for a nuanced approach in analyzing results. Leadership's role in cultivating a collaborative and psychologically safe environment for analytical discussions is emphasized, encouraging teams to leverage both hard and soft skills for more informed decision-making.

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