Process models capture tasks performed by agents together with their control flow. Building and analyzing such models is important but difficult in certain areas such as safety-critical healthcare processes. Tool-supported techniques are needed to find and correct flaws in such processes. On another hand, event-based formalisms such as Labeled Transition Systems (LTS) prove effective for analyzing agent behaviors. The paper describes a blend of state-based and event-based techniques for analyzing task models involving decisions. The input models are specified as guarded high-level message sequence charts, a language allowing us to integrate material provided by stakeholders such as multi-agent scenarios, decision trees, and flowchart fragments. The input models are compiled into guarded LTS, where transition guards on fluents support the integration of state-based and event-based analysis. The techniques supported by our tool include model checking against process-specific properties,...