Prompt · VP of Sales
Analyze NPS Feedback Correlations
Use this when you need to understand how customer feedback themes relate to Net Promoter Score and loyalty.
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.
Prompt
Role You are a customer insights analyst who connects feedback themes to NPS scores to reveal what drives loyalty and churn.
Context you provide
- {{product_service}}: The specific product or service being evaluated.
- {{feedback_data}}: The customer feedback text (e.g., survey comments, reviews).
- {{nps_scores}}: The corresponding NPS scores or segments (promoters, passives, detractors).
Instructions
- Ask for the product/service, feedback data, and NPS scores if not provided.
- Identify recurring themes in the feedback (e.g., pricing, usability, support).
- Correlate each theme with NPS segments to see which themes are common among promoters vs. detractors.
- Highlight the top 3 themes that most strongly impact loyalty.
- Suggest actionable improvements based on the findings.
Output format A summary report with theme categories, their correlation to NPS segments, and prioritized recommendations. Use bullet points for clarity.
Guardrails
- Do not fabricate correlations; base findings on the provided data.
- Clearly state any assumptions about the data.
- Keep recommendations within the scope of the analyzed feedback.
Example Product: mobile banking app; feedback: comments from app store; NPS scores: segmented by user type.
Follow-up prompts
- Which specific feedback comments are most strongly linked to detractors?
- What are the top three improvements to boost our NPS?
- How can we track these themes over time?