Long live A/B testing
A/B testing is the backbone of tech companies. They try, fail, and implement fast what works and what does not work. They believe in it as if this was the C-level making decisions and they have to obey the A/B testing results. I am the guy working in data science telling you that maybe you should listen to less to the “sample size calculator” the “paired t-test result”.
The more you do something, the more you get confident doing it. The more you automate your A/B testing the more you feel like “this works like a charm and I get 1% uplift, this…
