Sutra Analytics
Data Analytics·5 min read·

Why Most Dashboards Go Unused (and How to Fix It)

A dashboard with forty metrics on it isn't more useful than one with three — it's just less likely to get opened.

The most common mistake in dashboard design is trying to answer every possible question on one screen. The result is a dashboard that technically contains the answer but requires too much searching to be useful in the moment someone actually needs it.

A dashboard should be built around one question its primary audience asks repeatedly — 'are we on pace this month' or 'which stores are underperforming' — with everything else available a click away, not competing for attention on the first screen.

The second mistake is refresh lag. A beautifully designed dashboard showing last week's numbers trains people to stop trusting it, and eventually stop opening it.

The fix is usually smaller than people expect: fewer metrics, a clearer hierarchy, and a refresh schedule that matches how often the decision it supports actually gets made.

Sutra Analytics Team

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