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How to Accelerate Learning Cycles
The first step to innovation is not to realize you have a good idea, but to realize which ideas aren't good. What I find interesting is teams that embrace rapid experimentation as the means of learning. You're avoiding the sunk cost bias and loving the first thing that you fall in love with. A lot becomes efficient when you know your a priori probability is low.
Today I’m chatting with former-analyst-turned-design-educator Jeremy Utley of the Stanford d.school and co-author of Ideaflow. Jeremy reveals the psychology behind great innovation, and the importance of creating psychological safety for a team to generate what they may view as bad ideas. Jeremy speaks to the critical collision of unrelated frames of reference when problem-solving, as well as why creativity is actually more of a numbers game than awaiting that singular stroke of genius. Listen as Jeremy gives real-world examples of how to practice and measure (!) your innovation efforts and apply them to data products.
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