Zerbato, FrancescaFrancescaZerbatoSeiger, RonnyRonnySeigerDi Federico, GemmaGemmaDi FedericoBurattin, AndreaAndreaBurattinWeber, BarbaraBarbaraWeber2023-04-132023-04-132021-09https://www.alexandria.unisg.ch/handle/20.500.14171/110067Process mining techniques rely on the availability of event logs, where events have a certain granularity that is deemed appropriate for representing business activities. In this paper, we discuss why choosing a proper granularity level during preprocessing can be challenging and reflect on the implications that such a “fixed” view over the process bears for the analysis. Then, inspired by use cases in the context of user behavior analysis, we envision possible solutions that allow exploring and mining multiple granularity levels of process activities.enconference paper