Differences Between Asset vs Expertise Variables

Asset Data Dictionary

Asset variables are variables that, as its name implies, define the assets created in your account. They allow the user to create assets with descriptive information about the product such as model, software, version, year of production, or even if the product contains any add ons. The following image is a typical set-up for asset data dictionaries.

These variables are defined during the asset creation process, as seen in red box below. This is especially helpful for products that have various configurations. It allows for the products with various models, versions, or add-on components to be built into your account thus enabling the gpt to correctly help the user with the specific asset that they own.

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Expertise Data Dictionary

Variables that are used only in your tasks are stored in the _expertise _data dictionary. The expertise data dictionary has the same appearance as the asset data dictionary but these variables pertain to feedback and dependencies in steps and tasks. Below is a typically data dictionary you will see set up.

As stated previously, expertise variables can be created under configuration or directly in a step/task, however, it is highly recommended to add/edit your expertise variables in the data dictionary. InSkill recommends to always prepare your data dictionary before creating your task. This allows for a cleaner dictionary with minimal discrepencies between the variables found in the data dictionary vs tasks.

Variables will also be organized by where they originally exist. At the top variables from the products expertise will be listed. Below the products expertise variables you will see the expertise variables created in any of the products components.