Yes, but I tried hard not to bring in the word "Bayesian" because that implies a level of technical ability that is needed, as well as I didn't want to somehow bring in the entire philosophy of Bayesianism, though essentially it underpins my point.

I think thinking in percentages is a good first-order approximation/heuristic to most problems. There's so much uncertainty in our data anyway so even just conceptually breaking down the issue to percentages of contribution would already substantially help us think more clearly with the goal being to identify the top contributing factors to address.