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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Although now that I'm thinking about it, that sounds a lot like having well-defined user journeys and funnels. Problems arise when two DS don't use the same funnels, or don't know where the funnels they care about overlap.
Which brings us back to communication. Making sure all the DS on your team have the same baseline mental models goes a long way towards enabling effective collaboration across seemingly unrelated work streams.
Anyway, developing a shared mental model of your company's problem space IS a serious part of the Data Science profession. I don't know if it's accurate to say knowledge sharing is to data science as peer review is to software engineering, but I feel like there's something there.
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