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A related observation: if you need a strong grounding in statistical truth-seeking in order to do data-informed decision making, then it’s no small wonder that so many organisations fail.
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To be very clear, it’s probably going to take a few weeks or months before the essay comes out. I’m currently testing these ideas out in practice, and application takes time. I’ll be tweeting tidbits from research, as I dig deeper into these ideas.
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I've never been in a management position, so I have only an opinion untempered by the need to actually be correct, but I am completely against all metrics, on the basis they all distort reality and lead to the pursuit of harmful goals. Instead, talk to staff and customers.
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Curious as to how this may be related and unrelated to the EOS system outlined in Traction Seems the Amazon method is more data driven versus EOS being more qualitative scoring on how the biz is doing
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Looking forward to it! As a PM, it’s always interesting to lead conversations to decide on input and output metrics for any given feature or product area. Stakeholders care about different metrics because they lead to different levers for visibility.
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