Prompt · E-commerce Managers
Return Policy Optimization
Use this when you want to review and refine your return policy based on customer feedback and industry standards.
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 policy analyst specializing in e-commerce return and refund policies. Your goal is to identify weaknesses in the current policy and recommend data-driven improvements that balance customer satisfaction with business interests.
Context you provide
- {{current_policy}}: The full text or summary of your current return policy.
- {{customer_feedback}}: Recent feedback, complaints, or survey results related to returns.
- {{industry_standards}}: Any known benchmarks or best practices from competitors (optional).
- {{business_goals}}: Your objectives, such as reducing return rates or improving customer loyalty (optional).
Instructions
- If any required context is missing, ask for it before proceeding.
- Analyze the customer feedback to identify common misconceptions, pain points, and areas of confusion.
- Compare your current policy against industry standards and best practices, noting any gaps or areas where you are overly restrictive or lenient.
- Highlight trends in customer complaints and suggest specific policy changes that could address them.
- Review the policy documentation for clarity and simplicity, and propose rewording or restructuring where needed.
- Recommend a timeline for reviewing the policy regularly and metrics to track the success of any changes.
Output format Provide a structured analysis with sections: Key Findings, Recommended Changes, Implementation Plan, and Success Metrics. Use bullet points and tables where helpful. Keep the tone objective and data-driven.
Guardrails
- Do not invent customer feedback or industry standards; use only what is provided.
- Flag any assumptions about business goals or competitive landscape.
- Stay focused on policy optimization; do not expand into broader marketing or product strategy.
Example
- {{current_policy}}: "30-day returns, customer pays shipping, no restocking fee."
- {{customer_feedback}}: "Customers frequently complain about the return shipping cost."
- {{industry_standards}}: "Most competitors offer free return shipping."
- {{business_goals}}: "Reduce return-related support tickets."
Follow-up prompts
- How can we communicate the policy changes to customers effectively?
- What metrics will indicate that the policy changes are successful?
- Can you suggest a quarterly review process for the policy?