What does the process discovery method generate?

The process discovery method focuses on analyzing actual processes as they occur in practice, capturing the real-life execution of workflows. This method generates a discovered model that visually represents how a process operates, including the various steps, decisions, and interactions involved. By observing the process in action, this model reflects the true state of operations, accounting for variables and variances that may not be apparent in theoretical or planned models.

In the context of process improvement or optimization, having a discovered model is crucial because it provides valuable insights into efficiency, bottlenecks, and areas for enhancement. This model serves as a foundation for understanding current performance before implementing any changes aimed at achieving a target model, which outlines how the process ideally should function.

While other options might sound relevant in the broader context of process management, they do not capture the specific outcome of the discovery method. For example, a target model represents an ideal process rather than the actual one, and charts of common deviations or reporting dashboards serve different purposes that do not align with the primary function of the discovery method.