When results of business processes cannot be measured, the application of numeric Key Performance Indicators fails. Process performance cannot easily be analyzed unless other indirect indicators are applied. So, other existing models for process analysis containing convenient solutions and indicators have to be assessed and validated in order to use them to sufficiently assess business processes. In this article, various existing models were reviewed in an empirical investigation, categorized in systems and put into context to relevant theories. The result of the research is a Reference Model Catalog of Models for Business Process Analysis that also incorporates indirect process performance aspects like soft goals, complexity, maturity or dependencies. It is enabling enterprises and researchers to select a convenient process analysis model for their specific performance problem. Moreover, it is offering a comprehensive overview of models and visualizes correlative voids in their scope.