Eight Ways You've Misconfigured Your A/B Test
You've read about the virtues of A/B testing feature releases. You love iterating quickly, testing quickly, and continually learning in a data-driven fashion. You appreciate the importance of keeping an eye on the statistics behind your testing, and perhaps you even use a tool or two to make sure your results are statistically valid.
But, you ran a test last week, the results have been coming in for some time now, but, the data just doesn't look quite right.
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