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Actual, human based decisions will almost always win out.

Data is only helpful when it is directly and clearly tied to the problem.

* Good: "Our customers are complaining of random drop-outs. We've noticed X% of requests to Y service take longer than Z time. We believe that's the problem".

* Bad: "Companies who are most successful on our platform upload X things in their first Z days. We must find a way for everyone to upload X things in Z days".




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