5 Brutal Truths About Power BI Visuals (Why Most Dashboards Quietly Fail)

If users need explanations, your visuals are already lost.

Author

Glenda Carnate
March 26, 2026

Read time: 2.5 minutes

The harsh reality of Power BI dashboards is that they do not technically fail... instead, they visually fail.

A dashboard is designed with a clean layout, features multiple charts, and looks “professional”.

After viewing a dashboard, when someone asks, “So what is the point of this information?”

There is silence because all the data is on the dashboard, but no one can tell them the answer. This is where the dashboard fails.

How to Fix Power BI Visuals That Don’t Work?

1. If it needs explaining, it's broken
Simple? Clarity is superior to complexity
• Remove the clutter; use a single KPI in relation to the target (variance)

2. Eliminate the Noise
More visuals do not mean you get more insight
• Remove half of the charts
• Only use one primary visual on each page

3. Use Colour Intentionally
Colour should direct attention
• Colour should be used in relation to the target (i.e., Red or Green indicative of the target)
• Highlight what is important to users right away

4. Answer Rather than Show
The user wants answers
• Use dynamic titles
• Make use of insight values such as "Revenue ↓ 12% compared to last month."

5. Standardise the Truth
Confusing equals broken model
• Use certified datasets
• Lock analytic measures (i.e., do not allow custom calculations on a report-by-report basis)

💡Key Takeaway: 

A good dashboard should answer questions quickly. If it doesn't, it is simply an artefact of design.

👉 LIKE this if you ever come across a beautiful dashboard that fails at providing meaningful data.

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