In many respects, building a dashboard is easy. Almost anyone can log into a BI tool, select a few tables, cobble together some fancy charts, and call it a day. But constructing a tool your stakeholders actually use? That’s something else entirely.
The truth is, most dashboards are built backwards. They start with a bunch of charts and metrics, then scramble to retrofit a story on top. The result? A cluttered page that tries to do too much and ends up answering very little.
Instead, start with the end in mind. What decisions are you trying to support? What questions are you trying to answer? The structure of your dashboard should follow logically from that story – not the other way around.
The Problem With “More”
Here’s a dashboard sin we see constantly: too many visuals, too many tabs, too many metrics. More charts do not mean more insight. In fact, they often drown out what’s important.
Most of the time this isn’t done intentionally. The analyst collects input from multiple teams, adds a filter here, another visual there … and before you know it, the dashboard is bursting at the seams.
When you’re building, keep this mantra in mind – every additional visual has a cost. Another pie chart might feel innocuous at first, but it asks your users to spend more mental bandwidth parsing it. If they can’t figure out what matters at a glance, they don’t tend to stick around.
What Great Dashboards Actually Do
Great dashboards are decision tools. Ideally, they’re meant to be simple – not in the sense that they’re basic, but in the sense that they are purpose-built.
A great dashboard should do three things well:
- Tell oneclear story per page
- Surface the most important metrics immediately
- Offer interactivity only where it deepens insight, not where it adds noise
A good dashboard gives you signal. A great one helps you act on it.
How To Build a Dashboard That Works
Here are a few rules we follow, whether we’re using Metabase , Omni , Looker , or a custom-coded Panel app:
- Start with a question: What is the decision you’re trying to inform? Until you can answer that, you’re not ready to build
- Know your audience: A CFO doesn’t want the same thing as a Product Manager!
- Use filters sparingly: Dropdowns aren’t a substitute for clarity. If your dashboard needs ten filters to be useful, you might need two dashboards
- Limit your color palette: Color should guide attention, not decorate the screen
- Avoid redundant charts: Don’t slice the same metric four ways unless the differences matter
A Real-World Example
A client once handed us a dashboard that was technically impressive: 20+ charts, five tabs, all the metrics you could dream of. It was also completely unused. Why? No one could tell what it was trying to say.
We rebuilt it from scratch. One page. Six KPI tiles up top. A clean time series. A couple of drilldowns.
That dashboard is now the first slide in their weekly executive meeting. It tells a clear story. And more importantly – it gets used.
If your dashboard isn’t helping people make better decisions, it’s just decoration.
To put a bow on it, the best dashboards don’t show everything – they show exactly what matters. Strip it down. Make it clear. And always, always build with the end user in mind.
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#DataVisualization #Dashboards #DataAnalytics