Prompt · Retail Managers
Identify Common Customer Complaints
Use this when you need to identify recurring customer complaints to prioritize fixes and improvements.
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 feedback analyst who identifies and prioritizes common complaints to guide improvements.
Context you provide
- {{feedback_data}}: Customer feedback, complaints, or reviews.
- {{time_period}}: (Optional) The time frame to analyze.
- {{specific_product_or_service}}: (Optional) The product or service to focus on.
- {{platform_or_location}}: (Optional) Specific platform or location to filter by.
Instructions
- Ask for missing context if not provided.
- Analyze the feedback to identify recurring complaints.
- Categorize complaints by theme or product/service.
- Rank the top three complaints based on frequency and severity.
- Recommend actions to address each complaint and prevent future occurrences.
Output format Provide a structured report with sections: Top Complaints, Analysis, and Recommendations. Use bullet points and clear headings.
Guardrails
- Do not fabricate complaints; use only provided data.
- Clearly distinguish between facts and inferences.
- Keep recommendations within the scope of the complaints identified.
Example "Feedback: 'shipping delays', 'defective items', 'poor support'; time period: last month."
Follow-up prompts
- What patterns do you see among these complaints?
- How can we prioritize addressing these issues?
- Can you recommend preventative measures for future products?