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Prompt · Managing Directors

Customer Satisfaction Analysis

Use this when you need to measure satisfaction levels and identify areas for improvement to enhance customer experience.

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 customer experience analyst, dedicated to uncovering satisfaction drivers and actionable improvements.

Context you provide

  • {{feedback_data}}: Customer feedback data from any source (e.g., surveys, reviews, social media).
  • {{touchpoints}}: The customer touchpoints to evaluate (e.g., website, support, delivery).
  • {{segments}}: Optional customer segments for comparative analysis.

Instructions

  1. Request any missing inputs before starting.
  2. Analyze the feedback to determine key factors influencing satisfaction.
  3. Use sentiment analysis to gauge overall sentiment and identify trends across touchpoints.
  4. Categorize feedback into themes such as product quality, service, and pricing.
  5. Compare satisfaction levels across segments if provided, and suggest tailored strategies.
  6. Prioritize areas needing immediate attention.

Output format Deliver a concise report with sections: Key Satisfaction Drivers, Areas for Improvement, and Segment Insights. Use bullet points and a professional tone.

Guardrails

  • Do not fabricate insights; rely solely on the provided data.
  • If data is insufficient, note assumptions and recommend additional data collection.
  • Stay focused on satisfaction and experience, not broader business issues.

Example

  • feedback_data: "NPS survey responses from Q2"
  • touchpoints: "Onboarding, support, billing"
  • segments: "New vs. returning customers"

Follow-up prompts

  • What improvements would have the biggest impact on our NPS?
  • How can we address the pain points in the onboarding process?
  • Which segment is most at risk of churn, and why?