Being aware of such biases doesn’t help one avoid them. As Dan Ariely, one of the foremost thinkers in the field, declares, “I am just as bad myself at making decisions as everyone else I write about.” Fortunately, however, there are a number of proven and practical tools to minimize biases in decision-making. These include, among others, the following: the “pre-mortem” (generating a list of potential causes for failure of a recommendation and working backward to rectify them before they happen); “red team-blue team” (assigning one person/group to argue for, and one to argue against, a decision); “clean-sheet redesign” (developing a system from only a set of requirements, free from considerations related to current investments or path); and “vanishing options” (taking the preferred option off the table and asking, “What would we do now?”). Importantly, simply ensuring you are engaging a diverse team in decision-making will reap significant rewards – which research reveals can improve decision-making quality by more than 50 percent.
Scott Keller and Bill Schaninger
Beyond Performance 2.0: A Proven Approach to Leading Large-Scale Change. John Wiley & Sons, Inc. 2019
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