MediumSquare
Data Science

The Dashboard Nobody Opened: What 40 Unused Charts Taught Me

I audited the view logs of a dashboard I was proud of. The results were humbling, and they changed how I build reports.

46

Two years ago I built what I considered my best dashboard. Forty charts across six tabs, filters for every region and product line, a colour palette I spent an entire afternoon choosing. Leadership said it was impressive. Then, out of curiosity, I pulled the view logs for its first ninety days.

What the logs said

The numbers were blunt:

  • 71 percent of all views landed on the first tab and never went further.
  • Of the 40 charts, 6 accounted for nearly all the time people spent on the page.
  • Three entire tabs had fewer than ten views each, and most of those were mine.
  • The most used filter was the date picker. The product line filter was touched twice.

I had built an encyclopedia. People wanted a weather report.

Photo by Stephen Dawson on Unsplash
Photo by Stephen Dawson on Unsplash

Why it happened

When I traced back, the reason was obvious. I had gathered requirements by asking people what they might want to see. Everyone can imagine wanting a chart. Very few people have a recurring decision that needs one.

The six charts that got used each mapped to a weekly meeting where someone had to decide something: how much stock to reorder, which regions needed extra sales support, whether a campaign should continue.

How I build dashboards now

Start from a decision, not a metric

I ask each stakeholder: what decision do you make every week, and what number would change it? If they cannot name one, I do not build a chart for them yet.

One screen, then stop

The first version must fit on one screen without scrolling. If something important does not fit, something else has to go. This constraint forces conversations about priority that should happen anyway.

Add a sentence to every chart

Each chart gets a short line of text saying what it shows and what good looks like. For example: Reorder alerts this week. Under 10 is normal; above 25 needs attention. That sentence does more than any colour palette.

Review usage after a month

I now put a reminder in my calendar thirty days after launch to check the logs. Unused charts get removed, not hidden on a back tab.

The uncomfortable lesson

Building that big dashboard felt productive because it was visible effort. But the value of analytics is measured in decisions changed, not charts produced. The leaner version I rebuilt had eight charts. Its weekly active viewers went from 9 to 23.

Fewer charts, more readers. I keep relearning that.

Cover: Photo by Deng Xiang on Unsplash.

46
6 people clapped
Written byEthan Cole

ML engineer in Seattle building practical AI products. Skeptical of hype, excited by results.

More to read