Prompts Library — By Role

AI Prompts for Customer Support

Resolve tickets faster, build comprehensive knowledge bases, and turn angry customers into advocates. These prompts help support teams deliver exceptional service at scale.

6 Essential Customer Support Prompts

Draft a support ticket response for this customer issue. Product: [PRODUCT]. Issue category: [BILLING/TECHNICAL/FEATURE REQUEST/BUG]. Customer message: “[PASTE CUSTOMER MESSAGE]”. Tone: empathetic, professional, solution-oriented. Structure: (1) acknowledge their frustration/question, (2) explain the root cause or answer clearly, (3) provide step-by-step solution, (4) offer additional help. If the issue requires escalation, say so and explain next steps. Max 150 words.

Create an escalation decision tree for our support team handling [PRODUCT/SERVICE] issues. Define 4 escalation tiers: Tier 1 (frontline), Tier 2 (specialist), Tier 3 (engineering), Tier 4 (management). For each tier specify: types of issues handled, response time SLA, who owns it, and trigger criteria for escalating to the next tier. Include a separate path for VIP/enterprise customers and for urgent outages. Format as a clear flowchart description.

Generate a comprehensive FAQ page from these support tickets. Analyze the following common questions our team receives: [PASTE 10-15 FREQUENT QUESTIONS OR TICKET SUBJECTS]. Group them into 4-5 logical categories. Write a clear, concise answer for each (50-100 words). Use plain language, avoid jargon. Add “Was this helpful?” follow-up suggestions for related articles. Product: [PRODUCT]. Audience: [TECHNICAL LEVEL OF USERS].

Write 5 response templates for handling angry or frustrated customers in these scenarios: (1) service outage affecting their business, (2) billing error/overcharge, (3) feature they need is not available, (4) long wait time before reaching support, (5) repeated issue not resolved. Each template must: validate their feelings first, take ownership, provide a concrete resolution or timeline, and end with a goodwill gesture. Never use the phrase “I understand your frustration” — find more genuine alternatives.

Analyze this batch of support tickets and produce a weekly insights report. Tickets: “[PASTE TICKET SUMMARIES OR EXPORT]”. Report should include: top 5 issue categories by volume, trending new issues (things that increased this week), average sentiment analysis, tickets that suggest product bugs vs. user education gaps, and 3 recommendations for reducing ticket volume (knowledge base articles to create, UI improvements to suggest, or process changes).

Create a customer satisfaction survey to send after ticket resolution. Include 5 questions: (1) a 1-5 star rating, (2) a question about resolution speed, (3) a question about agent helpfulness, (4) a question about whether the issue was fully resolved, and (5) an open-ended feedback field. Write the survey intro (2 sentences, warm tone), each question with answer options, and a thank-you message. Keep it completable in under 60 seconds. Product: [PRODUCT].

Frequently Asked Questions

Can AI handle sensitive customer interactions?

AI should draft responses for agent review, not send them autonomously for sensitive situations like complaints, refund requests, or account security issues. Use AI to ensure consistent tone and completeness, but always have a human verify the response before sending.

How do I maintain a human touch with AI-assisted support?

Personalize every AI draft with the customer’s name, reference their specific situation, and add one genuinely empathetic line that reflects their emotional state. The structure comes from AI; the warmth comes from the agent.

What metrics improve when support teams use AI?

Teams typically see 30-50% reduction in first-response time, improved consistency scores across agents, and faster training for new team members. The biggest gain is often in knowledge base creation, where AI can turn months of ticket data into organized, searchable help articles.