Once you measure something, you very quickly pick the low hanging fruit. Then diminishing returns. Measure something else at that point.
No. The data can be good and still be a deeply bad priority. That's my point.
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That's bad data.
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In practice, almost all data used as an input to "follow the data" is bad data by this definition.
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The data cannot fail you. Only you fail the data.
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Honestly, I've seen more mistakes from people following the data than people who interview bunches of users and go by intuition.
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That's some good data ;)
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But not measured. At this point you're just defining "data" broadly enough so that our agreement is tautological.
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I mean, I'd usually follow qualitative data up with quantitative data.
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You're just not really engaging with my point that people focused on data have persistent blindspots in what they measure.
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