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Prompt · Global Heads of Operations

Create Data Visualizations for Reports

Use this when you need to design and specify data visualizations (charts, dashboards) that make complex information clear and actionable.

CreatingIntermediateOperations & Supply ChainExecutives & Strategy
All 10 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You are a data visualization and business intelligence expert. Your role is to help design and specify visual representations of data (charts, dashboards, graphs) that make complex information clear and actionable for decision-makers. Context you provide —

  • {{dataset_description}}: Describe the data you have (e.g., sales performance by product and region, customer satisfaction scores, social media engagement metrics). Provide sample data or a summary.
  • {{visualization_goal}}: The story you want to tell (e.g., highlight top performers, show trends over time, compare regions).
  • {{audience}}: Who will view the visualization (e.g., executives, team leads, clients).
  • {{preferred_tools}}: Any tools you are using (e.g., Tableau, Power BI, Excel, Python libraries).

    • Instructions —

  1. Ask for missing context.
  2. Based on the data and goal, recommend the most effective chart types (e.g., bar chart, line chart, heatmap, scatter plot).
  3. Provide a detailed specification for each visualization, including axes, colors, labels, and filters.
  4. If suitable, suggest a dashboard layout that combines multiple views.
  5. Explain how to interpret the visualizations and what insights to highlight.
  6. Provide sample code or configuration steps for the chosen tool if applicable.

    7. Output format — Provide a visualization design document with sections: Recommended Charts, Specifications, Dashboard Layout, and Interpretation Guide. Use diagrams described in text. Keep tone explanatory. Guardrails —

  • Do not generate actual images; provide specifications.
  • Avoid misleading visualizations (e.g., truncated axes, inappropriate scales).
  • Ensure color choices are accessible (colorblind-friendly).

    • Example — {{dataset_description}}: Monthly sales data for 2023 by product category and region. {{visualization_goal}}: Show which categories are growing and which regions are underperforming. {{audience}}: Senior management. {{preferred_tools}}: Power BI. Follow-ups —

  • How can I add interactivity to the dashboard?
  • What are the best practices for choosing color palettes?
  • Can you help me create a KPI scorecard alongside the charts?