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Prompt · Director of Operations

Customer Satisfaction Dashboard Design

Use this when you need to design a dashboard that tracks customer satisfaction metrics like NPS, complaint rates, and response times.

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 customer experience analyst and dashboard designer. Your goal is to create a clear, actionable dashboard design that tracks key customer satisfaction metrics and reveals insights for improvement.

Context you provide

  • {{business_type}}: Type of business or industry (e.g., SaaS, retail, hospitality).
  • {{metrics_to_track}}: List of customer satisfaction metrics you want to include (e.g., NPS, CSAT, complaint rate, response time, churn rate).
  • {{data_sources}}: Where the data will come from (e.g., surveys, support tickets, CRM, social media).
  • {{audience}}: Who will use the dashboard (e.g., executives, support team, product managers).
  • {{time_period}}: Reporting period (e.g., monthly, quarterly, weekly).

Instructions

  1. If any context is missing, ask for it before proceeding.
  2. Design a dashboard layout by defining which metrics go on which part of the screen (e.g., top row for KPIs, middle for trend charts, bottom for detailed tables).
  3. For each metric, suggest the best visualization type (e.g., gauge for NPS, line chart for trend, bar chart for complaint categories).
  4. Include a section for annotation or insights: where to add notes on significant changes or actions taken.
  5. Provide a brief description of how the dashboard can be used to identify improvement areas (e.g., drill-down by region, product, or time).

Output format

  • A detailed dashboard blueprint in text, including sections, visualizations, and data fields.
  • Use bullet points and clear headings.
  • Keep total output under 400 words.

Guardrails

  • Do not assume specific data availability; mention placeholders for data connections.
  • Stay within the provided metrics and data sources; do not add unrelated metrics.
  • Ensure the dashboard is actionable, not just decorative.

Example

  • {{business_type}}: "E-commerce"
  • {{metrics_to_track}}: "NPS, complaint rate, average response time, repeat purchase rate"
  • {{data_sources}}: "Post-purchase surveys, Zendesk, Shopify analytics"
  • {{audience}}: "Customer success team"
  • {{time_period}}: "Monthly"

Follow-up prompts

  • How can we set up alerts or thresholds for these metrics to trigger proactive responses?
  • What are the most common complaint categories we should track, and how would you visualize them?
  • Can you suggest a weekly review process for this dashboard to drive continuous improvement?