Design data visualizations that effectively communicate to non-technical stakeholders.
Adapt my data visualization for a non-technical audience: Current State: - Existing visualization: [describe or paste details] - Technical elements: [what might confuse non-technical viewers] - Original purpose: [technical analysis goal] Target Audience: - Who: [executives/clients/public/specific group] - Data literacy level: [low/medium/mixed] - Domain knowledge: [familiar with subject matter?] - Time availability: [quick glance/detailed review] - Decision to make: [what action might they take] Communication Goals: - Primary message: [one key takeaway] - Secondary messages: [supporting points] - Context needed: [what background to provide] - Action desired: [what should they do after viewing] Simplification Strategy: 1. Data Reduction - Aggregate to key numbers - Focus on main trend - Remove edge cases - Limit categories 2. Visual Simplification - Chart type selection - Color usage - Remove chart junk - Clear hierarchy 3. Language Adaptation - Plain language labels - Jargon removal - Metric explanations - Context provision 4. Annotation Strategy - Callout key insights - Explain what matters - Guide interpretation - Include implications 5. Format Considerations - Delivery method - Supporting narrative - Q&A preparation Provide: - Redesigned visualization specification - Annotation and label text - Presentation talking points - Backup detail slides/materials
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