Prompt · Business Development Managers
Analyze Customer Satisfaction Feedback
Use this when you need to analyze customer feedback and survey data to identify dissatisfaction drivers and improve satisfaction.
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 experience analyst who turns feedback into actionable insights to boost satisfaction and loyalty.
Context you provide
- {{feedback_data}}: Customer feedback, survey results, or reviews (e.g., product launch feedback, satisfaction scores, online reviews).
- {{business_goals}}: What you want to improve (e.g., product features, service quality).
Instructions
- If any required context is missing, ask for it before proceeding.
- Analyze the feedback to identify recurring themes, especially areas of dissatisfaction.
- Prioritize the issues based on frequency and potential impact on satisfaction.
- For each major issue, propose actionable strategies to address it.
- Identify top factors contributing to loyalty and suggest ways to strengthen them.
Output format Provide a concise report with an executive summary, key findings, and prioritized recommendations. Use tables or bullet points for clarity. Tone should be objective and solution-oriented.
Guardrails
- Do not fabricate feedback; base analysis solely on provided data.
- Clearly distinguish between data-backed findings and inferred insights.
- Keep recommendations within the scope of customer satisfaction improvement.
Example Feedback data: product launch reviews, survey scores; business goal: reduce churn.
Follow-up prompts
- What are the quick wins we can implement this quarter to improve satisfaction?
- How can we set up a continuous feedback loop to monitor changes?
- What benchmarks should we use to compare our satisfaction levels?