What explains the difference in activity and connection numbers viewed by two colleagues in the Process Explorer when both analyses are unfiltered?

The difference in activity and connection numbers viewed by two colleagues in the Process Explorer can indeed be attributed to their selection of KPIs. When one colleague is set to Case Frequency KPI and the other to Activity Frequency, they are essentially measuring different aspects of the process data.

Case Frequency KPI focuses on how many cases (or process instances) exist for various activities, providing insight into the overall volume of process flows. In contrast, Activity Frequency looks at how often specific activities occur within those cases, which can lead to a different interpretation of the same data set. Since these metrics are fundamentally different, each colleague will see varying counts of activities and connections that represent different views of the same underlying data, thus explaining the discrepancy in their analyses despite being unfiltered.

Considering the other options, viewing different analyses or having inconsistent data updates wouldn't directly lead to differences in numbers purely based on frequency measures, and using a different date range would typically affect the entire dataset consistently, not just create a discrepancy between two users. Therefore, the selection of KPIs is the primary reason for the observed differences.