Measure what is meaningful to measure. Keep improving metrics to better correlate to actual goals.
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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"they're doing it wrong" is fine, but it's pervasive and far worse among the data religious.
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I heard you say that you should measure things that give you easy wins. I don't think you believe that.
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