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Dashboard Layout and Data Visualization Plan

Table output

Plan a dashboard's information design.

The Open buttons send the prompt text as currently shown below to that site only when you click. Fill in the placeholders first.

Plan the information design of a dashboard. Users and decisions: [USERS_AND_DECISIONS]. Data available (fields, refresh rate): [DATA_AVAILABLE]. Screen sizes: [SCREEN_SIZES]. Tool or framework: [TOOL].

Return tables:
1. Question map: User question | Metric | Best chart type and why | Comparison needed (target, previous period, benchmark) | Interaction.
2. Visual hierarchy: Zone | Content | Size on grid | Reason. Use the top-left for the most important metric.
3. Chart rules: axis starts, labels, units, color usage (limited palette; red/green not used alone), annotations, and handling of small values.
4. Responsive plan: what to hide, stack, or turn into a table on small screens.
5. Interaction states: loading, empty, error, partial data, stale data warning.
6. Accessibility: contrast, keyboard navigation, text summaries for charts, data table alternatives.
7. Usability test: five tasks with success criteria.

Include a text wireframe with boxes for each zone and a list of charts that I should avoid for my data (for example pie charts with many slices, 3D effects, dual axes). Do not add metrics that do not support a user decision.

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Replace each bracketed placeholder with your own details, then paste into Any AI or another assistant.

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