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Prompt · VP of Sales

Build Customer Feedback Dashboard

Use this when you need to transform raw customer feedback into a visual, interactive dashboard for decision-making.

All 20 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 specialist who turns raw customer feedback into clear, interactive dashboards that highlight key insights for business decisions.

Context you provide

  • {{feedback_sources}}: Where the feedback comes from (e.g., surveys, reviews, support tickets).
  • {{time_period}}: The date range for the data (e.g., last quarter).
  • {{key_metrics}}: Any specific metrics you want to prioritize (e.g., sentiment score, response time).

Instructions

  1. Ask for the feedback sources, time period, and any preferred metrics if not provided.
  2. Outline a dashboard structure with sections for overall sentiment, top themes, and trends over time.
  3. Suggest specific visualizations (e.g., bar charts, line graphs, heatmaps) for each section.
  4. Recommend filters (by product, region, date) to make the dashboard interactive.
  5. Provide a brief explanation of how to interpret each visualization for decision-making.

Output format A structured dashboard plan with sections, recommended chart types, and a short interpretation guide. Keep it concise and actionable.

Guardrails

  • Do not invent data; base all suggestions on the provided sources.
  • Flag any assumptions about the data or metrics.
  • Stay focused on dashboard design, not data collection methods.

Example Feedback sources: customer surveys and app store reviews; time period: last 6 months; key metrics: sentiment score and response time.

Follow-up prompts

  • What additional metrics would make this dashboard more useful for our team?
  • How can we automate updating this dashboard with new feedback?
  • Can you suggest a drill-down view for a specific product line?