After you define tasks and the program converts task instances into timelines, you can proceed with the analysis.
For example, you will see what the most repeatable tasks are. You can find this information in the Automation candidates table. The higher value in the Count column, the higher the repetition quantity of this task in the logs. Compare the task complexity of the most frequent tasks. The higher the complexity, the harder it is to automate this task. Continue with analysis tools to find out more information about tasks.
Another way to analyze tasks is to check how user actions influence processes. For example, you have a Process Analysis project where Place Order is one of the process events. At the same time, you can create a Task Mining project, where Place Order will be a separate task itself that consists of a sequence of recorded user actions. Associate the task and the event to see how real user performance affects the processes.
For more efficient task definition and analysis, Timeline offers you a possibility to visualize created tasks and represent them on different levels in the Task schema. It also allows generating PDD that collects recommendations for task automation.
For more details, see:
Data Analysis
Link Projects
Task Schema