First Steps
Before you begin ..

Consider the following points:
Key Dashboard Design Considerations
• UI Consistency Adhere to existing company UI guidelines for colours, fonts, and layouts when possible. This approach maintains visual consistency and allows users to focus on data rather than adjusting to new design elements, while still following fundamental UI design principles.
• Content Strategy Prioritize displaying essential KPIs, insights, and trends that enable quick information access. The dashboard should serve as an efficient overview of critical metrics while maintaining clarity and purpose.
• Data Granularity and Interaction
• Determine appropriate levels of data detail
• Enable drill-down capabilities for deeper analysis (e.g., investigating declining sales)
• Consider performance implications when deciding detail levels
• Implement intuitive click-through functionality for accessing additional information
• Filtering Framework
• Implement dashboard-wide filters for consistent data views
• Create section-specific filters where necessary
• Include essential time range controls (e.g., last hour, 7 days, 30 days)
• Ensure filters align with available data granularity
• Visualization Selection Choose visualizations based on:
• Data volume and complexity
• Intended message and insights
• User comprehension speed
• Information density requirements
• Data be displayed to users with different roles

Popular tools for creating dashboard mockups include:
Figma - Industry-standard design tool with real-time collaboration
PowerMockup - Powerpoint addin.
Balsamiq - Great for quick, low-fidelity wireframes
There's also quite a few AI tools emerging ..

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