- Release notes
- Task Mining overview
- Setup and configuration
- Notifications
- Task Mining
- Additional resources
Viewing analysis results
Once you have completed recording variations of your task, it is time to leverage AI.
We recommend 50K actions as a good baseline. The model can support up to 200K actions collected in a project.
As a quick way of estimating, an active user typically provides 200-1K actions per hour, depending on the scenario they are recording.
After running the Machine Learning model, the Results tab is available in your Unassisted Task Mining project. The results are determined by collecting all the recorded actions and screenshots and leveraging AI to determine discrete steps and their repeatability.
Once the model has determined the discrete steps that are frequently repeated, it will create tasks to group together those steps into visualizations.
Reviewing the presented tasks, traces and trends will provide additional insights into your organization and process. You can follow our Unassisted Task Mining Analysis Guide after you have run the machine learning model (see steps in the next subsection) to leverage best practices to drive continuous discovery and actionability from your project.
Every time you run an analysis, a new analysis name is available in the Results tab with some details that can help you out in finding the proper analysis to deep dive into.
After the analysis is completed and results are generated, you can select an analysis to find out more details metrics about the captured data.
Column |
Description |
Analysis name | The name of the analysis created in the project. |
Tasks identified | The number of repetitive tasks identified by the machine learning model. |
Total time |
The total time recorded (hh:mm:ss). |
Users |
The number of users that have recorded their daily activities in this project. |
Actions |
The number of actions (click, type, etc.) captured in the dataset. |
Used apps |
The number of used applications. |
Discovery period | The date interval when data was recorded. |
Enables you to open a context menu with the following options.
|
Select a specific analysis to view a more detailed analysis overview and the list of tasks that were identified.
Below is a description of the charts in the Analysis overview.
Chart |
Description |
Tasks |
The number of repetitive tasks identified by the machine learning model. |
Actions captured | The number of actions (click, type, etc.) captured in the dataset. |
Total time captured | The total time recorded (hh:mm). |
Users | The number of users that have recorded their daily activities in this project. |
Total number of applications used | The number of used applications. |
Analysis details |
Detailed information on the analysis:
|
After selecting an analysis, the Tasks tabular view lists the repetitive tasks and the detailed metrics for each task.
Column | Description |
Task rank |
A distinctive rank to help you find the best discovered task opportunity to automate. |
Total duration | The total time the users spent performing this task, across all traces attributed to the task.
Note:
The blue bar indicates the execution time of the task related to the other tasks. |
Users |
The number of users who have performed this task repetitively. |
Traces |
The number of times this task has occurred in the dataset. One trace is one iteration of this task done by one user. |
Median duration |
The median execution time across all traces attributed to the task. It indicates the length of performing the task. |
Actions | The number of actions (click, type, etc.) in the most representative trace for this task - indicating the complexity of the task. |
Task name | The name of the task. Default is "Task + number". See also Editing a task name. |
Bookmark | Enables you to bookmark the task, to easily filter selected tasks. |
Status |
The status of the task. See also Changing the task status. |
Enables you to open a context menu with the following options.
|
By default, the task name is set to "Task" + number. For example Task 1. You can edit a task name to give the task a more descriptive name. Follow these steps to edit a task name.
-
On the analysis details page locate the task for which you want to edit the name in the Tasks tabular view list.
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Hover your mouse over the Task name field and select the icon.
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Edit the name as desired and press Enter.
You can also change the name of a task in the task details page.
All tasks will start with the status Not started by default. You can manually change the status of a task. Below is an overview of the available statuses you can select for a task.
Status |
Indicates that |
Not started |
the task is not started (default status). |
Review in progress |
the task is being review to find automation opportunities. |
RPA candidate |
the review is completed. The task can be moved forward for automation. |
Uninformative |
the review is completed and did not result in needed actionability. |
Follow these steps to set the status for a task.
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On the analysis details page, locate the task for which you want to set the status in the Tasks tabular view list
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Select the Status field for the task.
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Select the new status for the task from the context menu
You can export the data from an analysis results to CSV.
Exporting the data for all the tasks in the analysis
Follow these steps to export the data for all the tasks in the analysis to a .CSV file.
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On the Results page, locate the analysis for which you want to export the data to .CSV.
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Select the icon.
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Select Export to .CSV from the context menu. The Export to .CSV dialog is displayed.
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Select Include unprocessed data if you want to have all the recorded actions used in the analysis, including unprocessed data, in the exported .CSV file.
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Select Export.
Exporting the data from a selected task
Follow these steps to export raw data from a task to .CSV.
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On the Results page, select the analysis that contains the task for which you want to export the data. The analysis details are displayed.
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In the Tasks tabular view list locate the task for which you want to export the data to .CSV.
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Select the icon.
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Select Export to .CSV from the context menu.
When you select the Export to .CSV in the upper right corner of the analysis details page, the data for all the tasks in the analysis will be exported.
Viewing the .CSV file
When the export to .CSV is completed, you will receive an email containing a link to download the exported data.
The link in the email will be available for 30 days. After that period, the exported file will no longer be accessible from the link.