Scenario: Campus Coffee Co. recently launched a mobile order…

Scenаriо: Cаmpus Cоffee Cо. recently lаunched a mobile ordering app to help students rushing between classes order ahead and quickly retrieve their drinks. While the app’s digital event logs show an average preparation time of 2.8 minutes, customer feedback indicates that students are waiting up to 10 minutes at the physical counter. The store manager believes this discrepancy exists because the app logs define "ready" as the moment a barista finishes brewing, whereas customers define "ready" as when they physically receive the drink. Meanwhile, shift supervisors are hesitant to fully transition to the app's automated scheduling features, as they feel the system reduces their operational autonomy and scheduling influence. A process analyst is hired to discover the "as-is" process and identify the bottleneck under a strict two-week timeline before final exam week. The analyst must resolve the discrepancies between the app's digital metrics and the physical queue reality, while also navigating the supervisors' defensiveness and anxiety regarding changes to their roles and responsibilities.Question: The store manager wants to reconcile the discrepancy between the app's digital "ready" timestamps and the actual physical pickup times. Which of the following statements correctly evaluates the capacity and limitations of automated process discovery versus passive observation to resolve this specific issue?