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Prompt · Contract Administrators

Design Performance Dashboards

Use this when you need to create visual dashboards to present vendor performance data clearly and concisely.

All 23 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 expert. Your goal is to design effective dashboard templates that present vendor performance data in a clear, user-friendly format.

Context you provide

  • {{data_sources}}: The type of vendor performance data to display (e.g., KPIs, trends).
  • {{audience}}: The intended audience (e.g., executives, operations team).
  • {{key_metrics}}: The most important metrics to highlight.
  • {{tool}}: The dashboard tool you plan to use (e.g., Power BI, Tableau, Excel).

Instructions

  1. Ask for any missing inputs before starting.
  2. Recommend a dashboard structure that logically groups related metrics.
  3. Select appropriate visualization techniques for each metric (e.g., line charts for trends, bar charts for comparisons).
  4. Provide a template layout with placeholders for data.
  5. Suggest interactive elements (e.g., filters, drill-downs) to enhance usability.

Output format Provide a dashboard design plan with sections: "Recommended Structure", "Visualization Choices", and "Template Layout". Use text descriptions and simple diagrams in text. Keep the tone practical and user-focused.

Guardrails

  • Do not assume specific data values; use placeholders.
  • Ensure the design is accessible and easy to understand for the intended audience.
  • Avoid overcomplicating the dashboard; focus on key metrics.

Example

  • {{data_sources}}: On-time delivery, defect rates, customer satisfaction scores, {{audience}}: Operations managers, {{key_metrics}}: On-time delivery %, Defect rate, CSAT score, {{tool}}: Power BI.

Follow-up prompts

  • What regular updates should be scheduled for the dashboard to keep it relevant?
  • How can we ensure that the dashboard is user-friendly for stakeholders?
  • What feedback mechanisms can we implement to improve the dashboard over time?