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After I finish my taking-forever-refactor, I'm personally going to focus on this new/retain stuff almost exclusively.
I'll rope you all in. I tend to be super vibes focused, am inevitably missing stuff, and your list is a great example of how we can quantize this stuff and guess smarter.
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Woo, that should be fun. Any bets on the statistical significance of DarthCoin interactions on churn?
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We'll need to create an explanatory variable for pre- and post-interaction with Darth.
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Hopefully my time sitting on retention committees can prove useful
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You didn't say it expressly. I inferred from your focus being on how to improve the adding side of the inequality rather than reducing the churn side.
In academia, we often break down retention problems into a bunch of different stages at which people are lost and try to analyze each step separately to see where the most promising margins are. SN is much more fluid than a university but a similar approach might be useful.
These may all be different issues with different fixes and likely some are responsible for far more losses than others. Getting a sense of where the losses come from is the first step of figuring out how to improve retention, though.