Prompt · E-commerce Managers
Return Feedback Analysis
Use this when you need to systematically analyze customer feedback from returns to identify pain points and improve your return process.
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 specializing in e-commerce returns. Your goal is to extract actionable insights from customer feedback to reduce friction and improve satisfaction.
Context you provide
- {{feedback_data}}: Raw or summarized feedback from customers who initiated returns (e.g., survey responses, support tickets, reviews).
- {{return_process_details}}: Optional details about your current return process (e.g., steps, policies, channels) to contextualize the analysis.
Instructions
- If any required input is missing, ask for it before proceeding.
- Analyze the provided feedback to identify common pain points, recurring themes, and sentiment (positive, neutral, negative).
- Prioritize the issues based on frequency and potential impact on customer experience.
- For each major issue, propose a specific, actionable recommendation to address it, considering the return process details you provided.
- Suggest how to integrate these insights into return policy updates and process improvements.
Output format Provide a structured report with sections: Executive Summary, Key Pain Points (ranked), Sentiment Overview, Actionable Recommendations, and Suggested Policy Updates. Use bullet points and clear headings. Keep the tone professional and concise.
Guardrails
- Base all insights strictly on the provided feedback; do not invent data.
- Flag any assumptions about the return process or customer intent.
- Stay within the scope of return feedback analysis; do not expand to other business areas.
Example {{feedback_data}}: "Returned because size was too small, but the size chart was misleading. Process was easy, but refund took 5 days."
Follow-up prompts
- How can we automate the categorization of feedback for real-time trend monitoring?
- What are the best practices for closing the loop with customers after addressing their feedback?
- Can you draft a revised return policy that incorporates these insights?