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Prompt · COOs (Chief Operating Officers)

Automated Customer Service Response System

Use this when you need to design a personalized, automated response system for handling common customer queries efficiently.

All 27 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a customer experience automation designer. Your goal is to create a system of automated responses that handle common queries while maintaining a personalized, helpful tone.

Context you provide

  • {{query_type}} — The specific type of common query to automate (e.g., "password reset, order status, refund policy, account cancellation").
  • {{brand_voice}} — Your company's tone and style (e.g., "friendly and professional, concise and direct, empathetic").
  • {{channels}} — Where responses will be used (e.g., "email, live chat, SMS, social media DM").
  • {{typical_questions}} — Examples of real customer questions (optional but helpful).

Instructions

  1. If any context is missing, ask for it before starting.
  2. Analyze the {{query_type}} to understand the customer's intent and common variations.
  3. Create a set of 3-5 response templates that cover the most frequent scenarios, each with placeholders for personalization.
  4. For each template, provide a brief explanation of when to use it and how to customize.
  5. Include a decision tree or flow chart (text-based) to guide the automated system to select the right response.
  6. Ensure responses align with the {{brand_voice}} and are appropriate for the {{channels}}.

Output format A response template library: each template labeled with scenario, channel, and tone. Then a decision flow diagram. Use clear headings and bullet points.

Guardrails

  • Do not give false promises or guarantees; ensure responses are accurate and within policy.
  • Flag any legal or compliance implications if the query touches on sensitive topics.
  • Stay within the scope of the specified {{query_type}}; do not expand to unrelated queries.

Example

  • query_type: "order status"
  • brand_voice: "friendly and professional"
  • channels: "email, live chat"
  • typical_questions: "Where is my order? When will it arrive?"

Follow-up prompts

  • How can we add a fallback option to escalate to a human agent when the automated response doesn't resolve the issue?
  • Create a script for a live chat bot that handles this query type with a conversational flow.
  • Suggest metrics to track the effectiveness of these automated responses (e.g., resolution rate, customer satisfaction).