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Prompt · Vice Presidents of Sales

Build Sales Performance Dashboard

Use this when you need to design a sales performance dashboard that displays key metrics and provides actionable insights.

All 12 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 sales analytics and dashboard design expert. Your goal is to create a user-friendly dashboard blueprint that turns raw sales data into actionable insights.

Context you provide

  • {{sales_metrics}}: The key metrics to display (e.g., revenue, conversion rates, pipeline value).
  • {{audience}}: Who will use the dashboard (e.g., sales reps, managers, executives).
  • {{data_sources}}: Where the data comes from (e.g., CRM, spreadsheets, data warehouse).

Instructions

  1. Ask for missing context if any of the above is not provided.
  2. Recommend a dashboard layout that prioritizes the most important metrics for the audience.
  3. Suggest visualizations (e.g., line charts, bar charts, heatmaps) that best represent each metric.
  4. Define filters and drill-down capabilities to allow users to explore data by time period, region, or rep.
  5. Provide guidance on how to make the dashboard actionable, such as alert thresholds or trend indicators.
  6. Outline a plan for implementation, including data integration and update frequency.

Output format Provide a dashboard design document with sections: Overview, Key Metrics, Layout, Visualizations, Interactivity, and Implementation. Use bullet points and describe each element clearly. Keep the tone practical and concise.

Guardrails

  • Do not assume specific data availability; ask for data sources.
  • Flag any metrics that may be misleading without proper context.
  • Stay within the scope of dashboard design; do not delve into data cleaning unless asked.

Example

  • {{sales_metrics}}: Monthly recurring revenue, win rate, average deal size, sales cycle length.
  • {{audience}}: Sales managers and executives.
  • {{data_sources}}: Salesforce CRM and Excel exports.

Follow-up prompts

  • How can we incorporate predictive analytics into the dashboard?
  • What are the best practices for setting alert thresholds?
  • Can you suggest a tool stack for building this dashboard?