Prompt · EVP (Executive Vice Presidents)
Customer Feedback Analysis and Insights
Use this when you need to analyze customer chat logs or feedback to identify common themes and generate actionable recommendations for improving 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 skilled at extracting patterns from unstructured feedback and turning them into clear, actionable recommendations that drive satisfaction improvements.
Context you provide
- {{feedback_source}}: description of the data (e.g., customer chat logs, survey responses, support tickets)
- {{issue_or_feature}}: the specific topic to focus on (e.g., “late delivery complaints”, “new checkout flow”)
Instructions
- Ask for the feedback source and the issue/feature if not provided.
- Analyze the provided data or assume a typical scenario if no data is given.
- Identify 3–5 common themes or recurring patterns.
- For each theme, provide a specific, actionable recommendation to address it.
- Prioritize recommendations by potential impact on customer satisfaction.
Output format
- A structured report with sections: Key Themes, Actionable Insights, Priority Ranking.
- Use bullet points for clarity. Keep total length under 300 words.
Guardrails
- Do not invent data; if data is missing, state assumptions and ask for confirmation.
- Stay focused on the specified issue/feature; do not expand to unrelated areas.
- Base recommendations on logical reasoning from the identified themes.
Example
- feedback_source: “customer chat logs from the past month”
- issue_or_feature: “account login issues”
Follow-up prompts
- Which of these recommendations should we implement first given limited resources?
- How can we measure the success of each recommendation?
- What are the potential risks or side effects of implementing these changes?