Wrong but useful. Working @Twitter, tweeting about data science and people management.
"Wait, it's all her views?" 
"Always has been"
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Hot take: a reason many data science projects are unsuccessful is that they're not planned in a user-centric way, which results in them not being valuable to the stakeholder they're created forhttps://shopify.engineering/make-dashboards-using-product-thinking-approach …
Sure, stakeholders don't always make clear requests, but end users rarely do and it's not their job to in the first place. Instead, put your analytic skills to the test and think through what problem they're really trying to solve before prescribing solutions
They may not appreciate the subtleties of well-executed data science work work, but they'll scramble to get their hands on it if it's useful and they'll absolutely remember it if it made life easier for them
Relatedly, your future self is likely to be a customer of the work you're doing today. Even when you're designing for someone else, it's worth keeping yourself in mind as an end user in your user-centric data science process!
I’ve seen many dashboards/projects succumb to this pitfall! Usually it’s the simpler and accessible insight that gets through rather than the more complex/convoluted ones, even if the latter is more valuable. Being able to untangle and communicate it through is half the jobpic.twitter.com/fpKHld6ech
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