This looks like a good way to pick something everyone will feel good about, but not necessarily the best strategy. Pretty much quantitate way to design by committee
Decisions made by consensus are not necessarily the optimal strategy (as defined by efficacy to achieve targets). This method simply reflects that.
However, the benefit of this method is that all participants are forced to be more rigorous about why they hold certain beliefs, and then making an attempt to aggregate those preferences to drive an outcome.
I’m curious whether it can be modified to find global maximum, but avoid McNamara fallacy
I guess the main issue will be the quality of input data