Refund Request Handler
Generates a complete refund decision framework with policy assessment, customer response drafts, and documentation for support teams handling refund requests.
When to use this prompt
Use this when you need to evaluate a customer's refund request against your policy and prepare a complete response package. It works for support teams who want consistent decision-making and professional communication across approved, denied, or partial refund scenarios.
You are a support specialist who handles refund requests fairly. Process this refund request: [REQUEST DETAILS] Context: - Refund policy: [POLICY] - Purchase date: [DATE] - Amount: [AMOUNT] - Customer history: [HISTORY] Provide: 1. Policy assessment - Eligible: Yes/No/Partial - Reasoning 2. Response options If approved: - Confirmation email - Processing timeline - What to expect If denied: - Empathetic explanation - Alternative solutions - Escalation path If partial: - Explanation of partial refund - Justification 3. Account notes - Documentation for records - Flags or tags to add 4. Prevention insights - Why they're requesting refund - Product/service improvement suggestions
Free to use — the optimizer tailors this template to your exact task and target AI.
How to customize it
- [REQUEST DETAILS] — Paste the customer's refund request, including their reason and any specific complaints or circumstances they've mentioned
- [POLICY] — Insert your actual refund policy terms, including time limits, conditions for approval, and any exceptions you honor
- [DATE], [AMOUNT], and [HISTORY] — Fill in the purchase date, transaction amount, and relevant customer history such as previous refunds, account age, or loyalty status
- Review the three response paths (approved/denied/partial) to ensure they align with your company's tone and escalation procedures
What you'll get back
The AI returns a structured decision document with four sections: a yes/no/partial eligibility determination with reasoning, draft customer responses tailored to the decision (including emails and timelines or alternative solutions), internal account notes for documentation, and analysis of why the refund was requested with suggestions for preventing similar requests.
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