Dashboards
Dashboards as narrative, not noise
A short field guide to designing analytics interfaces that frame a story instead of stacking another chart on the page.
A dashboard is a piece of writing. Charts are paragraphs. The order is the argument. The teams that treat analytics this way ship interfaces people actually open in the morning.
Most dashboards fail the same way: they answer every possible question and none of the important ones. The fix is editorial, not technical. Decide what the page is trying to say, and let the rest go somewhere else.
The first screen is the headline
A reader of a newspaper does not need the full article to know whether the story matters to them. A dashboard owes the same courtesy. The first viewport should answer "is everything okay" before it answers anything else.
Make the next decision obvious
- Each chart should imply an action — investigate, escalate, ignore.
- Anomalies belong above the fold. Stable signals belong below it.
- Filters earn their place when they are used more than once a week.
- A dashboard with no opinion is a dashboard nobody reads.
A great dashboard is a piece of editorial design. It decides what to put on the cover, what to bury inside, and what to leave out entirely.
When to add a chart — and when not to
Every new chart is a tax on the reader. Add one when it answers a question that has already cost the team time. Avoid the temptation to surface a metric just because it is finally available. Coverage is not the goal. Comprehension is.
If you cannot say in one sentence what a chart is for, the chart is not for anything. Remove it or restate it until the sentence appears.
The dashboards that earn a place in someone's morning are the ones written like good editorials: a clear lead, a defensible argument, and the discipline to stop when the point has been made.
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