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I’m currently in the middle of an execution loop to put Amazon’s Weekly Business Review to practice, and this is now something that I think about a lot.
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What is it about the term "Data-driven" that is so divisive? Trying to explain this to someone, but coming up short.
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You’d think that instrumenting and then operating to data would be uncontroversial, but I’ve lost count of the number of people who have negative visceral reactions to my doing the WBR when I say “I want to be more data driven.”
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There needs to be a name for the phenomenon where people start executing without instrumenting or thinking, and then turn out to do worse in the long run compared to teams who take the time, up front, to instrument properly.
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I’m coming around to the idea that data literacy and statistical numeracy is like nuclear power: extremely powerful and good, but if you get it wrong it blows up in your face. That certain colours my current attempt!
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Also I should probably just read more Deming. Related tweet:
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For full context, I’m finally getting around to implementing the Amazon-style Weekly Business Review. Apparently, one of the precursor sources is Donald Wheeler’s Understanding Variation. Wheeler was (surprise, surprise) a colleague of Deming’s.
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Data-driven means loss of individual agency and accountability, like being consensus-driven or committee-driven. Giving up discretion in favor of procedure is admission that your judgment wasn't all that necessary to begin with.
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