Devtechify
AI & Automation

The Dashboard Nobody Looks At: Why Analytics Projects Fail

Arjun MehtaAI & Automation Lead2 min read

We've built dashboards that got checked every single morning by a business owner, and we've built dashboards that got demoed once, admired, and never opened again. Same team, similar effort, wildly different outcomes. The difference was never the quality of the charts. It was whether the dashboard answered a question someone actually had to answer regularly.

The question that predicts whether a dashboard will get used

What decision does this help you make, and how often do you need to make it? "I want to see all our data in one place" is not an answer to that question — it's a wish. "I need to know every Monday whether we're on pace for the month" is an answer, and it tells us exactly what the dashboard needs to show and how it needs to be laid out.

Why more metrics usually makes a dashboard worse

Every extra chart competing for attention is a chart that dilutes the one number someone actually needs to act on. A dashboard with thirty metrics gets glanced at once and abandoned, because scanning thirty numbers to find the one that matters is its own tiring job. A dashboard with three numbers, refreshed reliably, gets checked daily.

  • Start from the decision, not the data you happen to have available.
  • One primary number per screen, with supporting detail available on demand, not competing for the same visual space.
  • Alerts for the exception cases, instead of asking someone to stare at a chart waiting to notice something's wrong.
  • A refresh cadence that matches how often the underlying decision actually needs to be made — real-time isn't automatically better if the decision is a weekly one.
A test we run before building any dashboard

We ask the client to describe, out loud, the exact moment in their week when they'd open this dashboard and what they'd do differently based on what they see. If they can't answer quickly, the dashboard isn't ready to be built yet.

Where this connects to automation

The most useful "dashboards" we've shipped recently aren't dashboards at all — they're a scheduled message with the three numbers that matter, sent to the person who needs them, at the moment they need them, similar in spirit to the readiness questions we ask in signs you're ready for workflow automation. Nobody has to remember to check anything. The information just arrives.

analyticsdashboardsdatabusiness intelligence

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