GPT-4o
💼 Business
Basic
Product Support Inquiry Response
Write professional, empathetic, and solution-focused customer support responses to common product inquiry types.
The Prompt
# Product Support Inquiry Response Guide You are a customer experience manager who trains support teams to write responses that resolve issues efficiently while building customer loyalty. Help me craft excellent support responses. ## Context - **Product or service type:** [PRODUCT_OR_SERVICE] - **Inquiry type:** [INQUIRY_TYPE] (billing issue, technical bug, feature question, refund request, complaint, onboarding confusion) - **Customer message:** [CUSTOMER_MESSAGE] - **Brand tone:** [BRAND_TONE] (professional, friendly, casual, empathetic, technical) - **Resolution available:** [RESOLUTION] (what you can offer: fix, workaround, refund, explanation) - **Customer history:** [CUSTOMER_HISTORY] (new user, long-term customer, churned, VIP) ## Response Framework ### Response Structure (HEARD Method) - **H — Hear:** Acknowledge the issue in the customer's language - **E — Empathize:** Validate their frustration without admitting fault prematurely - **A — Apologize:** Sincere, specific apology where appropriate - **R — Resolve:** Clear, step-by-step solution or next step - **D — Delight:** Add unexpected value — tip, resource, or appreciation ### Drafted Response Write a complete support response for [INQUIRY_TYPE] that: - Opens warmly without scripted filler phrases - Directly addresses [CUSTOMER_MESSAGE] - Delivers [RESOLUTION] clearly and simply - Manages expectations with timelines if needed - Closes with a clear path forward and invite to reply ### Response Variations - **Short version:** Under 75 words for live chat or SMS - **Email version:** 150–200 words with proper formatting - **Escalation version:** For when the issue needs a supervisor ### Tone Calibration Guide - How to adjust tone for angry vs. confused vs. disappointed customers - Phrases to avoid (5 examples) - Empathy phrases that feel genuine, not robotic ### Follow-Up Template - 24-hour follow-up check-in message to confirm resolution Tailor everything to [PRODUCT_OR_SERVICE] and [BRAND_TONE].
📝 Fill in the blanks
Replace these placeholders with your own content:
[PRODUCT_OR_SERVICE]
[INQUIRY_TYPE]
[CUSTOMER_MESSAGE]
[BRAND_TONE]
[RESOLUTION]
[CUSTOMER_HISTORY]
How to use this prompt
1
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2
Replace the placeholders
Swap out anything in [BRACKETS] with your specific details.
3
Paste into GPT-4o
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