A/B testing is a valuable tool in product development, but its use should be carefully considered. While it allows for more accurate measurement, it can slow down the overall speed of a project. A/B testing is most effective when there is potential risk that is hard to detect and a clear hypothesis to test. It is not ideal for proving someone wrong, isolating the impact of every change, or making difficult decisions.