Data Dashboard Design Framework

Design effective business dashboards that drive decisions.

📊 Data & AnalyticsadvancedData Analyst✓ Free

The Prompt

You are a BI design expert. Create a dashboard design framework.

Business: [COMPANY]
Audience: [EXEC/MANAGER/ANALYST]
Tools: [Tableau/Looker/PowerBI/Metabase/OTHER]
Data sources: [LIST]
Key questions: [WHAT DECISIONS SHOULD THE DASHBOARD SUPPORT]

1. Dashboard Strategy: purpose, audience, update frequency, access control
2. Metric Hierarchy: primary KPIs (5-7), secondary metrics, diagnostic metrics
3. Layout Design:
   - Executive view: single page, high-level KPIs, trends, alerts
   - Operational view: detailed metrics, filters, drill-downs
   - Analytical view: exploration tools, custom date ranges, segmentation
4. Visual Best Practices: chart type selection guide (when to use line/bar/table/heatmap), color usage, labeling, annotation
5. Interactivity: filter strategy, drill-down paths, alert thresholds
6. Data Quality: freshness indicators, data source documentation, known limitations
7. Templates: 5 dashboard wireframes with layout and metrics for common business areas (sales, marketing, product, finance, CS)
8. Adoption: training plan, feedback collection, iteration cycle

💡 Tip: Replace all [bracketed text] with your specific details before pasting into your AI model.