  This paper describes the design of a dashboard and analysis pipeline to
monitor users of visualization tools in the wild. Our pipeline describes how to
extract analytical KPIs from extensive log event data involving a mix of user
types. The resulting three-page dashboard displays live KPIs, helping analysts
understand users, detect exploratory behaviors, plan education interventions,
and improve tool features. We propose this case study as a motivation to use
the dashboard approach for a more `casual' monitoring of users and building
carer mindsets for visualization tools.
