"we want information only when we need it" - Even at the early stage metrics aid in decision making, else, just an opinion. Build the analytics in and think about what success looks like apriori. Doesn't have to be exhaustive. An ounce of prevention is worth a pound of cure.
Taiichi Ohno on why implementing broad product analytics is a bad idea for most early stage startups (1978).pic.twitter.com/iMg3nsYNDj
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