What framework do you use for experiment prioritization (ICE/RICE/expected value), and how do you balance speed of learning with statistical rigor and risk?

I default to expected value scoring over ICE or RICE because it forces you to think in revenue terms. ICE and RICE are fine for early-stage prioritization, but they break...