Public policies have been instrumental in influencing population health, and the desire to study their impact led to the development of the fields of policy surveillance and legal epidemiology. The standardized practice of creating policy measurement systems allows researchers to track and evaluate policy impacts across jurisdictions and over time. Policy measures may take many forms, including dichotomous measures, ordinal ratings, composite measures, or scale measures. The policy measures are determined largely based on the research question but should also consider factors impacting policy implementation and equity. Many sources of evidence, including expert input, national standards, scientific evidence, and existing policies, can be used in the development of policy rating systems. Any rating system must be tested, reliable, and clearly documented to create a robust and rigorous dataset. This article reviews key considerations for the development of policy rating systems for use in public health research.