Capture feature data
The license package Lean Portfolio Management is required to work with features.
Features are tangible product or solution functionalities or improvements that provide business value. Features contribute to the realization of an epic. Features can be further broken down into user stories or tasks which are implemented, tested, and released incrementally. Features are reviewed and ranked using the Weighted Shortest Job First (WSJF) to maximize delivery value.
In the navigation panel, click Agile Architecture > Features. Per default, the data workbench displays only a set of basic attributes. You can add more columns to capture other attributes directly in the data workbench or you can navigate to a feature's content area and define it in more detail there. Click to learn about how to use data workbenches.
Go to Agile Architecture > Features and click New > Feature
Click the Navigate 
button next to a feature to open its content area. Specify the feature's attributes as well as the relationships that the feature has to other assets in the repository.
Try to capture as much information as possible about the feature because complete data considerably improves the results of business questions and other analytics.
In the navigation panel, click Agile Architecture > Features. Per default, the data workbench displays only a set of basic attributes. You can add more columns to capture other attributes directly in the data workbench or you can navigate to a feature's content area and define it in more detail there. Click to learn about how to use data workbenches.
Go to Agile Architecture > Features and click New > Feature
Click the Navigate button next to a feature to open its content area. Specify the feature's attributes as well as the relationships that the feature has to other assets in the repository.
Try to capture as much information as possible about the feature because complete data considerably improves the results of business questions and other analytics.
Once a feature is in the repository, you can define more details about it in the Features data workbench.
Per default, the data workbench displays a limited set of basic attributes. You can add more columns via the Structure column to capture other attributes directly in the data workbench.
Or specify and analyze the feature in detail in its content area . In the data workbench, click the Navigate button for a feature to open its content area > Overview page.
Define the features basic data. All mandatory fields must be defined to create the feature and save it.
- Name: (Mandatory) Enter a unique name for the feature. The name should help others easily understand the purpose of the feature.
- Epic: Specify the epic that the feature is assigned to.
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Status: This indicates the current status of the feature from initiation to execution.
- Funnel: New feature under initial consideration.
- Analyzing: Deeper assessment of feature for feasibility and impact.
- Backlog: Feature is waiting to be prioritized and allocated resources.
- Implementing: Feature is being worked on.
- Releasing: Feature is ready to be tested and released.
- Done: Feature is complete.
- Target Completion Date: The day when the feature should be done and ready for release. Click the calendar icon to select the date or enter the date in the date format Month/Day/Year. For example: 4/30/2023
- Description: Enter a meaningful description that will clarify the purpose of the feature.
The following business questions rely on feature data: