Data Visualization Brief Creator
Plans data visualization for reports and dashboards: chart-type selection matched to the data relationship (comparison, trend, distribution, composition), accessibility requirements, annotation strategy, and narrative sequencing so the charts tell a story rather than decorate one. The chart-type guidance alone prevents the most common failure — the wrong chart making a clear finding illegible.
The Prompt
Design data visualization strategies for reports and presentations. Includes chart type selection guide (when to use bar vs line vs scatter vs heatmap), accessibility considerations (colorblind palettes, alt text), storytelling with data narrative structure, dashboard layout principles, annotation best practices, interactive element recommendations, mobile-responsive visualization design, and a brief template that specifies dataset, audience, key message, recommended chart types, and design specifications.
When to Use It
- Designing an executive dashboard where every chart must justify its screen space.
- Turning analysis results into a report where the visuals carry the argument.
- Establishing team-wide visualization standards so reports stop reinventing (and mis-choosing) chart types.
Tips for Better Results
- 1State the message before choosing the chart ("Q3 broke the trend" vs. "regions vary widely") — the takeaway determines the form, not the data shape.
- 2Default to boring: bar and line charts communicate faster than anything exotic, and dual-axis charts mislead more than they inform.
- 3Put the finding in the title ("Churn doubled after the price change"), use annotations for the key point, and check every palette for colorblind safety.
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