Skip to content
Tukun.ai A Semantic-first Data Agent
Site
Sign in

Create Dashboards

Dashboards are where a team returns to recurring questions. They should make routine review easier, not preserve old ambiguity in a prettier layout.

Create a dashboard when:

  • the same set of questions recurs weekly or monthly
  • the audience is stable
  • the metrics are understood well enough to reuse
  • the component cards have already been reviewed

If the underlying questions are still changing every day, stay in the Workbench longer.

The reliable path is:

  1. validate the base question in the Workbench
  2. refine the result until it is conceptually right
  3. model the metric if the definition still drifts
  4. save the result as a card
  5. assemble related cards into a dashboard

This keeps dashboards downstream from trusted work instead of treating them as the first place meaning gets negotiated.

Keep a dashboard focused on one decision area:

  • executive overview
  • revenue and billing
  • product usage
  • customer retention
  • pipeline health

A card title should make sense even if the reader never saw the original conversation.

If a card no longer supports a real decision, remove it. Dashboard sprawl reduces trust.

Before you treat a dashboard as shared truth, check:

  • every card uses the expected source
  • titles are understandable
  • metric definitions are stable enough for reuse
  • time windows and filters are intentional
  • the overall dashboard supports one coherent review workflow

Dashboards need periodic review after:

  • schema changes
  • source refresh issues
  • metric definition changes
  • major business process changes

The dashboard is not “done” because it exists. It is useful because the team can keep trusting it.