I'm curious what you think is omitted and how to include it. @saronyitbarek
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Replying to @amcaplan @saronyitbarek
metrics cover a small % of the things you should care about, but get outsized focus by data people.
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and people usually focus on The Facts that they know about and skip empathy that may render The Facts moot.
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Replying to @wycats
hard to argue against empathy
but realizing "Hey no one has paired in 2 weeks" can be a good kick in the rear. @saronyitbarek1 reply 0 retweets 0 likes -
Replying to @amcaplan @saronyitbarek
sure, but "this study shows pair programming doesn't improve productivity over the control" is pointless.
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Replying to @wycats
don't think I argued for that. Just said that certain team sorta-"metrics" provide clues for what to improve
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It's easy to bike-shed and misjudge when you rely solely on intuition. Some data isn't a bad thing.
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I've seen subjective evaluation of people lead to a lot of resentment. And it's justified.
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And assuming we want to be more objective, I'd rather measure the team than individuals. It's all about incentives.
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Replying to @amcaplan @saronyitbarek
I don't want to subjectively judge humans, but building models purely based on data is bad.
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sometimes known as over fitting.
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