Create your first dashboard
Prepare data and business rules, describe a page in natural language and check the result in Workbench.
Share with your team
Publish a reviewed version so members can filter and refresh authorized data on a standalone page.
When to use it
- Business and metric tracking: combine totals, trends and details on one page, with filters such as region or period.
- File analysis summaries: clean and aggregate authorized workspace files using explicit metric definitions, then visualize the results.
- Ongoing review and team viewing: refine the same dashboard’s presentation or analysis requirements, then share a human-confirmed formal version.
A dashboard’s workflow
- Create: choose an Assistant with dashboard capabilities and describe the source, metric, period and layout.
- View: after a successful save, click Open on the chat resource card to open Live dashboards in ChatKit’s Workbench.
- Edit: open the target and continue describing changes. They are saved as a draft under the same dashboard identity.
- Publish: check the data and interactions, select Publish draft, then confirm a formal version.
- Share: enable read-only organization sharing. Members can filter and refresh data they are authorized to access.
What you can create
Custom pages control their layout but use configured data access. They cannot connect to arbitrary websites, load CDN scripts or read platform credentials. Three.js core is available; 3D pages still need separate browser and GPU compatibility checks.
What live data and versions mean
- Opening, filtering and refreshing query data again. Fetch time is not necessarily the last business-data modification time.
- Custom HTML can include a refresh timer. There is no universal automatic-refresh switch or guaranteed change-stream push subscription.
- Drafts and formal versions save the page definition, metric configuration and library dependencies, not all query results at that moment.
- Historical versions query current accessible data with their older definition. They are not historical data snapshots.
Start here
- Create a dashboard from a request
- Edit and publish
- Data sources, files and refresh
- Team sharing and standalone viewing
- Troubleshooting
Related capabilities
- Assistant conversations capture requests and ongoing edits; Live Dashboard saves, displays and refreshes the resulting analysis page.
- Artifacts supplies result identity, drafts, versions and access management. This section covers the dashboard-specific workflow.
- Ontology Workbench and resource chat explains data-xpert resource context. Dashboards can use configured ontology sources, subject to their permissions and permitted read-only operations.