ChatGPT prompts for customer service

These customer service prompts cover direct responses to inquiries and complaints, scripts and process design, personalization and retention, and the analysis that turns service interactions into improvements.

Handling angry customers: Create a step-by-step guide for handling upset customers by phone, chat, and in person. Include [number] de-escalation techniques, sample dialogue, resolution options, boundaries, and escalation or safety criteria. Base it on these policies: [Insert policies]. Style example: [Insert example]

Customer inquiry response: Write a friendly email of no more than 200 words responding to this product-availability inquiry. Use only the supplied stock information, suggest relevant available alternatives, and provide a clear next step. Include a subject line. Inquiry and product details: [Insert information]. Style example: [Insert example]

Customer service script: Create a billing-support script for [industry]. Include identity verification, diagnostic questions, common explanations, policy-based resolution steps, refund eligibility, and escalation criteria. Do not promise adjustments or refunds outside the supplied policy. Context: [Insert billing and refund policies]. Structure example: [Insert example]

Customer experience personalization guidelines: Create [number] guidelines for personalizing customer interactions across [channels]. Cover active listening, empathy, permitted customer data, accessibility, consistency, and privacy boundaries. Context: [Insert audience, channels, and policies]

Live chat response: Write a live-chat response helping [customer name] troubleshoot [problem]. Use only the verified steps below, present them clearly, and include what to do if they fail. Do not request sensitive information in chat. Product and troubleshooting details: [Insert information]

Customer feedback response template: Create adaptable templates for positive feedback, constructive criticism, and complaints on [channel]. Thank the customer, acknowledge specific feedback, explain the next step without overpromising, and move account-specific issues to private support. Context: [Insert policies]

Product/service FAQs: Write [number] concise FAQs for [audience] about [product/service]. Use only the supplied information, prioritize common customer questions, and avoid unsupported claims. Product information: [insert details]

Social media complaint response: Write a [length] social response to the complaint below in a [tone] tone. Acknowledge the issue, avoid requesting personal information publicly, and direct the customer to [support channel] when account details are needed. Do not admit fault or promise an outcome without evidence. Complaint and policy: [Insert information]

Cross-selling and upselling guidance: Create a guide for recommending relevant upgrades or complementary products during customer-service interactions. Include need-identification questions, suitability checks, example language, disclosure requirements, and when not to sell. Product context: [Insert information]

Service phone call script: Write a [length] phone-support script helping a customer use [system or product]. Include verification, diagnostic questions, step-by-step guidance, confirmation, and escalation. Platform details: [insert information]

Shipping delay explanation: Write a [number]-word template for shipping-delay and tracking inquiries. Show empathy, state only verified information, explain available next steps, and avoid guaranteeing a delivery date. Order and policy details: [Insert information]. Style example: [Insert example]

Refund request response: Write a response to a customer requesting a refund outside our policy. Acknowledge the request, explain the relevant rule clearly, offer only these approved alternatives, and provide an escalation path if applicable: [Insert policy and alternatives]

Service incident notification: Write a [channel] notification informing affected customers about [service issue or outage]. State what happened and the impact in plain language, what customers should do now if anything, and when to expect the next update. Use only the verified incident details, avoid speculating about causes, and do not commit to a resolution time unless supplied. Incident details and policy: [insert incident information]

Customer satisfaction data analysis: Analyze the survey data below and identify supported service strengths, recurring issues, segment differences, and prioritized actions. Distinguish findings from hypotheses and note sample or data limitations. Survey questions, responses, sample size, and scores: [Insert data]

Customer message response: Reply to the message below in a [tone] tone. Acknowledge the concern, explain the verified policy or next step, and give a timeframe only if supplied. Do not guarantee an outcome. Message and policy: [insert details].

Sentiment analysis: Classify the feedback below as positive, negative, mixed, or unclear. Identify recurring themes, cite representative excerpts, quantify categories where possible, and distinguish observed language from inferred intent. Note data limitations. Feedback: [Insert data]

Service-recovery win-back: Write a [channel] win-back message for consenting customers who lapsed after [service issue or complaint]. Acknowledge the prior experience without over-apologizing, state what has changed or been fixed, include the exact supplied offer or update if any, and end with one low-friction CTA. Avoid false urgency. Context: [insert customer history and offer details]

Ticket triage guidelines: Create ticket-triage guidelines for [product and team]. Define urgent, high, medium, and low priority using impact, severity, affected users, workarounds, and safety or compliance risk. Include targets based on the supplied capacity and SLAs, plus escalation examples. Context: [insert details]