I suspect that for any given event, some people are better at predicting it than others. For example, in the case of UI design it is definitely the case that some people are much better than others at predicting what will do well in an A/B test. If such people are scarce, learning to predict their predictions is a good substitute for learning to predict the results of A/B tests themselves. (The real question in this situation is whether the overhead of prediction could be low enough for this to matter.)
I suspect that for any given event, some people are better at predicting it than others. For example, in the case of UI design it is definitely the case that some people are much better than others at predicting what will do well in an A/B test. If such people are scarce, learning to predict their predictions is a good substitute for learning to predict the results of A/B tests themselves. (The real question in this situation is whether the overhead of prediction could be low enough for this to matter.)