Data & Attribution

Dashboards People Actually Open

8 min read
Dashboards People Actually Open

The typical marketing dashboard is built by asking what data is available. It ends up with thirty tiles, which means it has no argument, and people stop opening it within a month. A dashboard is a communication artefact, and it should be designed like one.

Design from the decision backwards

Ask who looks at this, what they decide, and how often. A weekly channel-budget decision needs spend, efficiency, and saturation signals for each channel — perhaps six numbers. An executive monthly review needs revenue, blended acquisition cost, and growth against plan. Those are different dashboards, not different tabs of the same one.

AudienceCadenceCore content
ExecutiveMonthlyRevenue, blended CAC, payback, plan variance
Channel ownerWeeklySpend, efficiency, volume, pacing by campaign
AnalystAd hocRaw exploration, not a dashboard at all

A number alone says nothing

Every figure needs a comparison: prior period, same period last year, or target. Without one, the reader cannot tell whether to act. Add a sparkline or a simple variance indicator and the same tile becomes interpretable at a glance.

The question a good tile answers is not "what is it?" but "is that normal?"

Definitions live in the dashboard

Put the definition of each metric behind a tooltip on the tile. Separate documentation is never read, and the recurring meeting argument about whether a number includes refunds costs more time than writing the tooltip ever would.

Check usage statistics quarterly. Dashboards with no views in ninety days should be archived — they are still costing query time and still confusing newcomers.

Annotate the history

Mark significant events directly on the time series: a pricing change, a site migration, a major campaign launch, a tracking fix. Six months later, that annotation is the difference between understanding a step change and inventing a story about it.

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