Surrogate metrics are now available as a type of "latest value" metric in Warehouse Native.
Surrogate metrics (also called proxy or predictive metrics) enable measurement of a long-term outcome that can be impractical to measure during an experiment. However, if used incorrectly adjustment, the false-positive rate will be inflated.
While Statsig won't create surrogate metrics for you, when you've created one you can input the mean squared error (MSE) of your model, so that we can accurately calculate p-values and confidence intervals that account for the inherent error in the predictive model.
Surrogate metrics will have inflated confidence intervals and p-values compared to the same metric without any MSE specified.
Learn more here!