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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.

All 20 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

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

  1. If any required input is missing, ask for it before proceeding.
  2. Analyze the provided feedback to identify common pain points, recurring themes, and sentiment (positive, neutral, negative).
  3. Prioritize the issues based on frequency and potential impact on customer experience.
  4. For each major issue, propose a specific, actionable recommendation to address it, considering the return process details you provided.
  5. 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?