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Dashboards
Chambrix Team
6 min read

How To Build A Dashboard People Actually Use

How To Build A Dashboard People Actually Use
Most dashboards fail by showing everything, so nobody knows where to look and within a month it goes unopened. The fix starts with the decision, not the data.

Start from the decision, not the data

Most dashboards fail because they try to show everything, and twenty charts on one screen means nobody knows where to look. We start from the decisions the dashboard exists to support, then show only the metrics that inform those decisions. Usually that is five to seven numbers on the primary view, with everything else behind a drill-down.

Live data, consistent definitions

Figures should come from your live systems so they are current and consistent with source, not copied into a slide that is stale by the afternoon. Just as important, every metric needs one written definition agreed across departments before it is built. That is what ends the meetings where two teams present different revenue numbers.

Headline first, detail on demand

The surface shows headline numbers, with the ability to drill down to record level when something looks wrong. That keeps the primary view calm while still giving analysts a path to the underlying data. Threshold alerts and trends then surface problems while they are still small enough to fix cheaply.

Refine after real use

A dashboard is not finished at delivery. We refine it after about two weeks of real use, based on what people actually consult rather than what they said they wanted. Scheduled email and export delivery also means stakeholders receive their figures without having to log in at all.

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DashboardsDataReporting

Questions On This Topic

Short answers to what readers ask

How many metrics should a dashboard show?
Usually five to seven on the primary view. Beyond that, attention fragments and the dashboard stops being used. Everything else belongs behind a drill-down.
Can it pull from multiple systems?
Yes. Combining CRM, accounting, web analytics and operational data in one view is typically where a dashboard earns most of its value.
Do you use an existing BI tool or build custom?
Either. An existing BI platform is usually right if you already have one licensed. Custom makes sense when the dashboard needs to sit inside your own product or serve external customers.
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