Many dashboards show everything and help with nothing. The ones that get used start from a decision someone has to make, and work backwards to the data.
Start with the decision
Ask each team what they decide every week, and what they would need to know to decide it well. A sales manager choosing where to focus next week needs different numbers from a finance lead approving spend.
Show fewer numbers, with context
A number on its own means little. Show it against a target, the previous period or a trend, so people can tell at a glance whether it needs attention. If a metric never changes a decision, remove it.
If a metric never changes a decision, it does not belong on the dashboard.
Make the data trustworthy first
When two reports disagree, people stop trusting both. Agree definitions for key metrics, such as what counts as an active customer, and use one source for each.
Automate the refresh
A dashboard that depends on someone updating a spreadsheet will fall behind. Connect it to the source systems so it updates on its own, and show when it was last refreshed.
Review and prune
Check which dashboards and charts are actually viewed. Retire the ones that are not, and ask users what is missing. A dashboard is a product, and it needs maintenance like one.
Key takeaways
- Design for a specific decision and a specific person.
- Context turns numbers into signals.
- Trusted definitions and automatic refresh keep dashboards in use.
Written by the ThinkInstantAI team
Practical guidance on AI, automation and search for business leaders.