I only literally do an expected outcome calculation when I care more about having numbers than I do about their validity, or when I have unusually good data and need rigor. Most of the time the uncertainties in your problem formulation will dominate any advantage you might get from doing actual Bayesian updates.
The advantage of the Bayesian mindset is that it gives you a rough idea of how evidence should affect your subjective probability estimate for a scenario, and how pieces of evidence of different strengths interact with each other. You do need to work through a reasonable number of examples to get a feel for how that works, but once you have that intuition you rarely need to do the math.
I only literally do an expected outcome calculation when I care more about having numbers than I do about their validity, or when I have unusually good data and need rigor. Most of the time the uncertainties in your problem formulation will dominate any advantage you might get from doing actual Bayesian updates.
The advantage of the Bayesian mindset is that it gives you a rough idea of how evidence should affect your subjective probability estimate for a scenario, and how pieces of evidence of different strengths interact with each other. You do need to work through a reasonable number of examples to get a feel for how that works, but once you have that intuition you rarely need to do the math.