Dashboard Design
Dashboards Shouldn’t Require Analysis
Many dashboards are designed as analytical tools. But most decision makers do not have time to analyze data every day.
In theory, dashboards were created to simplify information.
In practice, many dashboards simply move the analysis from spreadsheets to charts.
The user still has to figure out what the numbers mean.
The original goal of dashboards
Dashboards were originally designed to simplify complex information.
Instead of scanning spreadsheets, decision makers could quickly understand performance through visual summaries.
But many dashboards today still require significant interpretation.
The analysis trap
When dashboards present large numbers of charts and metrics, users often need to analyze the information before understanding the situation.
They may ask questions such as:
- Which KPI actually matters?
- Is this change significant?
- What caused the change?
- Does this require action?
If the dashboard does not answer these questions quickly, the user must begin analyzing the data.
This slows down decision making.
Why executives rarely analyze dashboards
Executives and managers operate under significant time pressure.
Their goal is not to analyze every metric, but to understand whether something requires attention.
They often need answers to simple questions:
- Are we on track?
- Is something going wrong?
- Do we need to act now?
If a dashboard requires deep analysis, leaders may avoid using it regularly.
The connection to decision latency
When dashboards require analysis, organizations often experience slower decisions.
Instead of immediate action, teams may schedule additional analysis meetings.
This delay contributes to Decision Latency.
Designing dashboards that reduce analysis
Decision-focused dashboards aim to reduce the amount of analysis required.
Instead of presenting large numbers of charts, they emphasize clear signals such as:
- Primary KPIs
- Risk thresholds
- Key drivers
- Possible actions
Dashboards designed this way are sometimes called Decision-Ready Dashboards .
Dashboards as navigation systems
A useful analogy is a navigation system.
A car navigation system does not ask the driver to analyze traffic data.
It simply shows:
- where you are
- where you need to go
- which direction to take
Dashboards can play a similar role for organizations, guiding attention toward the signals that matter most.