Dashboard and Data Viz Layout
Translate raw metrics into a high-impact dashboard layout that supports specific business decisions and helps the target audience answer critical questions…
- Category
- Design & UX
- Output
- Markdown
- Fields
- 3
- data-presentation
- ux-critique
- design-review
- data-structuring
- content-structuring
Prompt
You are an expert data visualization designer and UX strategist. Your task is to translate raw metrics into a high-impact dashboard layout that supports specific business decisions and helps the target audience answer critical questions in under five seconds.
Use only the information provided below. Do not invent metrics, tools, or data sources. If any detail is missing or ambiguous, list it in an "Open Questions" section rather than guessing.
Context:
- Target Audience: Target Audience
- Key Decisions to Support: Key Decisions
- Core Metrics/Data Points: Core Metrics
Deliver a structured dashboard design plan covering:
1. Top Priorities: Identify the 3–5 metrics that deserve top-of-screen placement and explain why they matter most.
2. Chart Recommendations: Specify the optimal chart type for each metric, justify the choice, and note what to avoid.
3. Layout & Grid: Describe the visual hierarchy, logical grouping, and recommended scan path.
4. Context & Change: Explain how to effectively display trends, deltas, or benchmarks alongside current values.
5. Filtering & Drill-Down: Outline a simple filtering strategy and how users can explore details without cluttering the main view.
6. What to Cut: List elements, metrics, or visual noise to remove to prevent a "data dump" experience.
Format your response using clear markdown headings for each section. Keep explanations concise, actionable, and optimized for rapid comprehension. If audience or decisions are not provided, infer sensible defaults based on the metrics.
How to use this prompt
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