Writing my performance evaluation today, most of which is private but which I’m happy to share the fundamental strategy: Run a portfolio of experiments. Unlike an actual investment, you can increase sizing *after* the results are in at a similar entry price. Do that ruthlessly.
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How do allocate doubling down on what’s working vs exploring the space of potentially better projects? Especially considering it’s an infinite game with no “true” optimal solution. Something like simulated annealing where you gradually become less experimental don’t make sense.
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This is a major unsolved problem for me; very not obvious that I or my organization are at an optimum, even locally. In practice I tend to explore the space either once I think I've got organization executing on the effective thing or when I get bored.
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I think its important to find bandwidth in your role to add value through learning and innovation. Do you formalize these experiments or are they 'side projects' executed in your spare time?
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My role is a bit fuzzy around the edges. (Plausibly more than the edges.) We did formalize a structure for optimizing both my selection of experiments and the organization’s ability to predict what I’d be mucking about with; early indications are positive.
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Hallo, the unroll you asked for: Thread by
@patio11: Writing my performance evaluation today, most of which is private but which I’m happy to share the… https://threadreaderapp.com/thread/1205594083240005632.html …. See you soon.
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Reminds me of 100:10:1 method. From 100 ideas, test 10 promising, choose 1 to finish.
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