If you run out of things to measure, sure. But prioritize measuring things that are likely sources of low-hanging-fruit over grinding.
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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I think that a lot of easy wins live in unmeasured areas. And you should actually do the things that get you wins cheaply.
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So do I
I think this was your point and I'm glad it's stated clearly now 
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