In order to maximise the sensitivity to parameters of interest (e.g. Wilson Coefficients), theoretical uncertainties can be constrained using data itself. This builds in theoretical assumptions into measurements. Reinterpreting such measurements is a crucial component in order to prevent them from becoming obsolete with theoretical progress. In this talk, I will discuss the challenges and benefits of providing additional information that can allow such a reinterpretation.