Dashboards give you a persistent, at-a-glance view of the metrics that matter most. Drag, drop, and resize widgets on a flexible grid — each one generated by AI from a plain-English prompt.
What dashboards are
A dashboard is a collection of widgets arranged on a drag-and-drop grid. You describe what you want to see, the AI generates the widget, and it stays on your dashboard, refreshing automatically every time you open it.
There is no manual chart configuration, no query builder, and no SQL. Just tell the AI what you want in plain English and it handles the rest.
Widget types
Every widget falls into one of three categories:
- Scorecards — A single metric with an optional comparison to the previous period. Ideal for KPIs you check daily, like total sessions or ad spend.
- Charts — Bar charts, line charts, pie charts, and sankey diagrams for visualising trends, distributions, and flows.
- Tables — Sortable data tables for detailed breakdowns and ranked lists.
See Widget Types for a deep dive on each format and when to use them.
Real-time data from BigQuery
All widgets query your BigQuery data warehouse directly. This means you are always looking at the same authoritative data that powers the AI chat — no stale exports or manual imports.
Widgets cache their last-fetched data so dashboards load instantly, then silently refresh in the background when you open them.
Supported data sources
Dashboards can pull from any platform connected to your organisation:
- Google Analytics 4
- Google Ads
- Microsoft Ads
- Mailchimp
- Google Search Console
You can mix data sources on a single dashboard — for example, a GA4 sessions scorecard next to a Google Ads spend chart and a LinkedIn engagement table.
Next steps
- Creating Your First Dashboard — step-by-step guide
- Widget Types — scorecards, charts, and tables explained
- Editing & Organising — drag, resize, rename, and manage widgets
- Date Ranges & Refresh — control time periods and keep data fresh
