How I decide what a Power BI dashboard should (and shouldn’t) show

When I first started working with dashboards, I assumed a good one should show everything.

All metrics.

All filters.

All possible views.

Over time, I learned that dashboards don’t exist to display data - they exist to support decisions.

And that changes everything.

Starting with the question, not the visuals

Before thinking about charts or layout, I try to answer one simple question:

What decision is this dashboard supposed to support?

If I can’t clearly answer that, the dashboard will most likely end up confusing rather than helpful.

This question helps me decide:

• what needs to be visible immediately

• what can stay in the background

• what doesn’t belong on the dashboard at all

  
  

Less information, more clarity

One of the hardest things about building dashboards is leaving things out.

There are always more metrics that could be included.

More breakdowns.

More details.

But more information doesn’t automatically mean better understanding.

I try to prioritise:

• metrics that drive action

• trends that matter over time

• signals that highlight change or risk

  
  

If a visual doesn’t help someone make a decision, I question whether it needs to be there.

Thinking about the person using the dashboard

A dashboard is never neutral - it’s always used by someone, for a reason.

Before finalising anything, I think about:

• who will use it

• how often they’ll look at it

• whether they need a quick overview or a deeper explanation

  
  

This helps me adjust:

• the level of detail

• the number of visuals

• how much context needs to be built into the dashboard itself

  
  

When a dashboard is not the right answer

Not every problem needs a dashboard.

Sometimes a simple table, a short summary or a one-off analysis is more effective.

Power BI becomes valuable when:

• information needs to be revisited regularly

• patterns matter over time

• multiple people rely on the same view

  
  

Knowing when not to build a dashboard is just as important as knowing how to build one.

Why this approach matters to me

Approaching dashboards this way keeps the focus on usefulness, not appearance.

It helps avoid:

• overloaded visuals

• unnecessary complexity

• dashboards that look impressive but don’t get used

  
  

For me, a good Power BI dashboard is one that answers the right questions - clearly and efficiently.

A dashboard is successful not when it shows everything,but when it helps someone decide what to do next.

This way of thinking builds naturally on how I approach data analysis before opening any tools.