Automated Findings represent sets of filters, constraints and discovery rules that can be applied to a Process Model to uncover process and workflow problems, as well as opportunities for improvement. Examples of Automated FIndings include:
Filters
Issues containing the step, or transition, from Open to Pending
Issues having Priority = 'Critical'
Constraints
Issues where the Resolved to Closed duration is > 7 days
Issues that were in Pending status more than 2 times
Discovery Rules
Variants containing more than 2 loops
Steps where the standard deviation is less than 2 hours
Defining Filters is detailed at Process Optimizer - Control Panels - Filters, defining Constraints at Process Optimizer - Control Panels - Constraints, and Discovery Rules at Process Optimizer - Control Panel - Discovery Rules
The Process Optimizer contains numerous pre-defined Automated Findings, both generic, and specific to commonly used issue types. This effectively means that once a Process Model is built, the findings can be loaded and the Process Optimizer will tell you what your process and workflow problems are. This is discussed in detail at Process Optimizer - Visualizations - Findings
There are 2 core types of automated findings. The first are 'Generic', in that they apply to all issue types. The second type of finding relates to a specific issue type.
The definition of an Automated Finding consists of the issue type, the finding name, or short description, the category (Performance, Compliance, Workflow or Quality), the the activity related to the finding e.g. status, assignment group, priority (refer Configuration - Activities) and the detailed definition of the Automated Finding, stored as a JSON field containing the specific filters, constraints and discovery rules
Recommendations
An Automated Finding can also contain one or more Recommendations to address the problems found and improvement opportunities. Recommendations are created and edited via accessing Options -> Recommendations.
<Image of Recommendations Screen>
To create a new recommendation, click the 'Create' button. The definition of a recommendation includes the following fields:
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Creating and Editing
Automated Findings can be created in any Process Model once filters, constraints or discovery rules are applied. They can be saved as a 'Generic' finding or specific to the issue type selected for the process model.
The underlying definition of an automated finding can be edited by accessing the 'Options' -> 'Edit', and then modifying the JSON associated with the finding.
There is also the ability to delete and copy Automated Findings. Note that if an Automated Finding is deleted that is has been saved in a Process Model, then the Finding will not be deleted from the Process model.