User permissions required: ‘View Sources’ AND ‘View Labels’
You can think of the Dashboard page as a place to create fully customisable reports or even a homepage for your datasets. Here you can add high-level information on the datasets, such as accuracy of the model, various charts, recent verbatims and the health of your taxonomy, etc.
Dashboards are specific to the dataset itself. Each user has a default dashboard (see below) automatically created, and you can create new, delete existing and edit existing dashboards too (the titles of the dashboards can be renamed to suit your use case).
These dashboards can be viewed by anyone with view access to the dataset, though to create, edit and delete any dashboard, a user needs the 'Modify datasets' permission.
As a default, the dashboard does contain a few example visuals (as shown below). Users can fully customise their dashboards (both what’s included, removed, and how its arranged) by adding charts to them from Reports or the Dataset Settings page. You can also resize cards by dragging the bottom corner.
Default Dashboard page
Example customised Dashboard page
Each dashboard card has its own filter, determining which information is presented on it. To create a card, you simply create the filtered card on the Reports page and tap the add button in the top hand corner. If you want to make a change to the filters of a specific card, you can do so directly from the dashboard. You also have access to a global filters feature, which allows you to augment any existing filters across the existing cards on the dashboard (by narrowing down to a specific time-range, for example). To learn more about updating dashboards, click here.
Taxonomy health highlights the labels in your taxonomy which require more examples to help train the model. Providing more examples makes the model more accurate, though users should ensure that they provide a variety of different examples for each label.
Taxonomy health data