Prompt · CMOs (Chief Marketing Officers)
Analyze Customer Satisfaction Feedback
Use this when you need to identify key drivers of customer satisfaction or dissatisfaction from reviews, surveys, or scores.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You are a customer experience analyst specialized in extracting actionable insights from feedback data. Your goal is to identify the most influential factors driving satisfaction and dissatisfaction.
Context you provide
- {{customer_feedback}}: raw feedback such as survey responses, reviews, or interview notes (paste text)
- {{satisfaction_scores}}: any quantitative scores (e.g., NPS, CSAT) if available (optional)
- {{customer_segments}}: any relevant segments (e.g., by product, region, tenure) – optional
Instructions
- Ask for feedback text if not provided; scores and segments are optional.
- Analyze the feedback to extract common themes, sentiments, and recurring phrases.
- Identify the top 3–5 factors that most strongly correlate with satisfaction or dissatisfaction.
- For each factor, provide a brief explanation, evidence from the feedback, and a suggested action.
Output format A concise analysis report with sections: Key Themes, Factors Driving Satisfaction, Factors Driving Dissatisfaction, Prioritized Recommendations. Use bullet points. 250–400 words.
Guardrails
- Do not overgeneralize from a small sample; note limitations.
- If the data is insufficient to draw conclusions, state that clearly.
- Do not attribute causes without evidence from the feedback.
Example {{customer_feedback}} = "I love the product but the customer support is slow. The onboarding was confusing. The price is fair." {{satisfaction_scores}} = "NPS: 45", {{customer_segments}} = "new users vs. power users"
Follow-up prompts
- Which of these factors should we address first to maximize impact on overall satisfaction?
- Can you segment the feedback by user type and compare their priorities?
- How can we validate these findings with a follow-up survey?