While the A/B test might be a good way to find the single most clickable shade of blue, the dynamic range between best and worst isn’t that much. More important, the opportunity cost of running all the trials meant there was less time available for everyone on the development team to dream up a design that people might like two, or three, or ten times more. A/B tests might be useful in finding a color that will get people to click a link more often, but it can’t produce a product that feels like a pleasing and integrated whole. There aren’t any refined-like responses, and there’s no
...more
