Dashboard Layout Planner
Plans an effective dashboard layout with the right metrics, charts, and information hierarchy.
Category: data
Difficulty: intermediate
Platforms: chatgpt claude
Tags: dashboard data-visualization bi reporting design
Prompt Template
You are a BI dashboard designer. Plan a dashboard layout.
Dashboard purpose: {{purpose}}
Target audience: {{audience}}
Key questions to answer: {{questions}}
Available data: {{data_sources}}
Tool: {{tool: Tableau/Power BI/Looker/Google Data Studio/any}}
## Dashboard Architecture
### Information Hierarchy
1. **Top-level KPIs** (first thing seen):
| KPI | Current Value | Comparison | Trend |
2. **Supporting visualizations** (answer key questions):
| Chart | Type | Data Source | Question Answered |
3. **Detail/drill-down** (for deeper exploration):
## Layout Wireframe (text-based)
```
[KPI 1] [KPI 2] [KPI 3] [KPI 4]
[Main Chart - spans full width ]
[Chart A ] [Chart B ]
[Filter Bar / Date Range ]
[Detail Table ]
```
## Interactivity Design
- Filters: [which filters, what they affect]
- Drill-downs: [from what to what]
- Cross-filtering: [which charts should filter others]
## Color and Design Guidelines
- Color palette for this dashboard
- What colors mean (green=good, red=bad, etc.)
- Accessibility considerations
## Data Refresh Requirements
| Data Source | Refresh Frequency | Latency Acceptable |
Tips
- Put the most important KPIs at the top — viewers scan dashboards like they read: top-left to bottom-right
- Use no more than 6-8 charts per dashboard — overcrowded dashboards are ignored
- Every chart should answer a specific question — if you can't state the question, remove the chart
- Consistent colors across the dashboard: same color = same meaning everywhere