Copy-Ready Prompt

Refund Policy Ticket Triage

Ticket triage; reply macros; sentiment analysis; escalation

ChatGPT + ClaudeExpertTicket triage; reply macros; sentiment analysis; escalation
Quick answer: This prompt helps users create table for Refund policy. It is best used with ChatGPT, Claude, Zendesk AI, Intercom Fin and uses Critique and revise.

This copy-ready AI prompt is designed for ChatGPT, Claude, Zendesk AI, Intercom Fin. Use it when your goal is: Ticket triage; reply macros; sentiment analysis; escalation.

Prompt summary

Best for: Ticket triage; reply macros; sentiment analysis; escalation. Skill level: Expert.

Copy-ready prompt

Act as a senior customer support expert. Create a data-driven refund policy deliverable for executives about {topic}. Use this context: {context}. Goal: {goal}. Constraint: rank options by impact and effort. Return the result as a table with clear sections and practical next steps.

How to customize this prompt

  • Replace placeholders like {topic}, {audience}, and {goal} with your real details.
  • Add examples when quality matters.
  • Ask the AI to revise the answer for clarity, accuracy, or format.

Best AI tools for this prompt

ChatGPT, Claude, Zendesk AI, Intercom Fin.

Source/reference: Prompting reference

FAQ

What AI tool works best for the Refund policy Ticket triage Prompt?

The recommended tool set is ChatGPT, Claude, Zendesk AI, Intercom Fin. You can also adapt the prompt for another capable AI assistant by keeping the role, task, context, and output format clear.

How do I customize this Customer Support prompt?

Replace the variables {topic}; {context}; {goal}; {audience}; {constraints} with your own details. Add examples, constraints, and desired output format for better results.

Prompt metadata

Best tool: ChatGPT, Claude, Zendesk AI, Intercom FinUse case: Ticket triage; reply macros; sentiment analysis; escalationSkill: ExpertUpdated: May 5, 2026Cost: Free

Tools that can run this prompt

Related resources

Reference/source: https://www.promptingguide.ai/introduction/examples