Wrong but useful. Working @Twitter, tweeting about data science and people management.
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Would be awesome to hear what you’d consider to be a best-in-class example of this
Sure. Cohorting users (or whatever your unit of analysis is) is a pretty classic example. Good segmentation turns one ill-defined problem into several smaller more tractable problems, and it gives you a basis for asking deeper questions.
Xfn folks usually have some intuition for why people use your product, so it's crucial to put quantitative bounds around those use cases and make it possible to segment for users who do those things specifically. That's an example of plugging into an existing system of knowledge
But having those cohorts is also a platform of sorts. It makes it easier to give definitive answers about those user segments. Establishing baselines about them builds a shared context among your stakeholders, and shared context helps everyone move in the same direction
This is really interesting, thanks! Makes me think of how those shared contexts can be either metrics/segments, or shared analytics formats (eg. “The Monday sales report”).
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