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I have a question for those who understand this better than me. How do you tell the difference between "Moving fast and allowing failure lets you learn faster"
by techpineapple 2y ago
I have a question for those who understand this better than me. How do you tell the difference between "Moving fast and allowing failure lets you learn faster" break into "We've hit a roadblock and now we're just wasting money". It seems like they're getting close but of course the last 10% is much harder than the first 90%. Like they don't have the money for 100 more learning flights right? I suppose only they have the answer to this question, but less things failed this time than last time would be a decent metric.
- roeles 2y agoI think the difference lies in how you move from iteration to iteration. As long as you have a goal for each iteration - to fix what you learnt the last time, or to change something to get a new data point on it - that sounds like allowing failure. I would expect you to converge towards a working state, on a large scale. If you are trying stuff without any hypothesis or deliberate plan, that sounds to me like the second.