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I learned a lesson a long time ago – your level of confidence is irrelevant when estimating outcomes.
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The shift from talking about what we want to build to talking about the problems we want to solve is easy to understand, but can be difficult to do well.
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Vibe coding, as a faster way to tell people what to build is penny-wise, but pound-foolish.
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How do you debate how to build something you’ve been asked to build?
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How you define ‘good enough’ is contextual – but not in the way you might think.
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In the early modern period clocks worked through an engineering miracle of pendulums and springs.
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What we want from our leaders is for them to set a direction.
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“I don’t get to set the direction.
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Which is the bigger risk for your product right now?
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Most people and teams conflate prioritizing and sequencing of work.
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I’m excited to be joining my friend Jon Harmer, Lead Product Manager at Google, in teaching Product Mangers how to drive business impact.
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Product strategy manifests as a collection of bets, investment decisions to do something or not, to do things now or later.
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Your process can prevent collaboration.
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When deciding what to measure, we often choose metrics which sound good or metrics which are easy.
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Estimating with ranges requires a level of transparency which may be uncomfortable because you are acknowledging what you don’t know.
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Product management is fundamentally a discipline of decision-making.
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Quantifying the impact of your problems puts them in perspective.
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Good product management is understanding the problems your customers want to solve, how your customers get value from solving those problems, and figuring out how best to help them.
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There is more to identifying who’s problem you’re trying to solve – you need to also have a sense for the context in which they experience the problem.
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There’s a difference between who is exposed to a situation (many people) and who experiences that situation as a meaningful problem they would like to solve (a select few).