Research
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Every organization faces hidden bias in its decision-making—from confirmation bias and groupthink to sunk-cost fallacy. This post includes a practical table of the most common cognitive biases and how to counter them, briefly outlining how a Decision Science approach builds stronger processes that lead to clearer, smarter, and more reliable outcomes.
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There is no excerpt because this is a protected post.
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Drawing on HBR’s ‘Where Data-Driven Decision-Making Can Go Wrong,’ this post connects insights from the authors’ research to strengthen the idea that by defining clear ‘impact paths,’ avoiding ‘decision black holes,’ and resisting the temptation to ‘shoehorn data,’ organizations can make better decisions.