Once you've talked yourself into a chance-to-win launch rule over a frequentist one, the next question is less philosophical and more operational: does going Bayesian actually work cleanly across everything an experimentation program needs, or just for the one decision rule you started with? Going through it piece by piece, two of the three places it needs to fit turned out to be straightforward. One really isn't.
The Engine Is Already There
The first question was whether "going Bayesian" meant building new statistical machinery, or just using what was already sitting underneath...