Successful scaling of automated driving system (ADS) technology and realization of its full potential will require developers and service providers to continuously monitor performance of their fleet and enact prompt improvements should issues arise. ADS developers and manufacturers can use the data collected from vehicles in active deployments (e.g., safety performance data) to proactively confirm initial risk assumptions and feed other safety management processes. This best practice provides an approach to continuous monitoring and potential improvement of safety performance of ADS-DVs after deployment. It also outlines approaches to analyzing data related to known and unknown variations in the ADS-DV’s operating environment and complements other AVSC best practices that provide metrics and methods which can be used to monitor safety [AVSC00006202103, AVSC00008202111] while considering important factors pertaining to how data is collected, analyzed, and used [AVSC00004202009].