A dashboard should tell a story and drive decisions, not overwhelm users with charts. Here's how to design dashboards that people actually use.
Start with Questions, Not Data
Before opening your BI tool, ask:
- What decisions does this dashboard support?
- Who is the audience?
- What actions should they take?
The 5-Second Rule
Users should understand the key message in 5 seconds:
- Use clear hierarchy
- Highlight what matters
- Remove unnecessary elements
Choose the Right Visualizations
Match chart types to data:
- Trends over time: Line charts
- Comparisons: Bar charts
- Parts of whole: Pie charts (sparingly)
- Relationships: Scatter plots
- Distributions: Histograms
Avoid 3D charts and excessive colors.
Design for Action
Every dashboard should have:
- Key metrics front and center
- Context (vs. targets, historical)
- Drill-down for investigation
- Export options for sharing
Iterate Based on Usage
Monitor dashboard usage:
- Track which views are used
- Collect user feedback
- Remove unused components
- A/B test designs
Conclusion
Great dashboards balance information density with clarity. Focus on the decisions you want to enable, not the data you have available.
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