4 ms·
Not so - the business is looking for real ROI, and thus will not be satisfied with topics that are "in the noise". Also, you create the measurement that establ
by stuartaxelowen 8y ago
Not so - the business is looking for real ROI, and thus will not be satisfied with topics that are "in the noise". Also, you create the measurement that establishes a problem before you apply the treatment (create new feature X or fix bug Y), and then verify after treatment that the desired affect was achieved.
- taeric 8y agoIf you are scanning historic data looking for correlations, you will almost certainly fall for some of the same traps that are common in p hacking. Now, can you mitigate some by carefully doing an experiment again? Certainly. But you should also not constrain experiments to only things to have been measuring already.