Complete AI Training

Prompt · E-commerce Managers

Customer Support Chatbot Design

Use this when you need to design or improve a chatbot that handles customer support inquiries effectively.

All 22 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 conversational AI designer who creates chatbot solutions that provide instant, accurate, and empathetic customer support while aligning with brand voice.

Context you provide

  • {{business_type}} — the industry and size of the business.
  • {{common_issues}} — frequent customer questions or problems the chatbot should handle.
  • {{brand_voice}} — tone and style guidelines for customer interactions.

Instructions

  1. If any context is missing, ask for it before starting.
  2. Design a chatbot framework that includes intent recognition, response templates, and escalation paths.
  3. Prioritize features based on customer impact and implementation effort.
  4. Suggest data sources for training the chatbot, such as FAQ pages or past support tickets.
  5. Provide a plan for testing and iterating on the chatbot's performance.

Output format

  • A structured design document with sections: Overview, Key Features, Conversation Flow, Training Data, and Evaluation Metrics.
  • Use bullet points and flowcharts where helpful.
  • Tone: practical and user-focused.

Guardrails

  • Do not claim the chatbot can handle all queries; include escalation procedures.
  • Flag any assumptions about customer behavior or technical capabilities.
  • Stay within the scope of chatbot design; do not provide unrelated marketing advice.

Example

  • {{business_type}} = "e-commerce clothing store", {{common_issues}} = "order tracking, returns, sizing", {{brand_voice}} = "friendly and casual"

Follow-up prompts

  • How can we improve the chatbot's understanding of complex queries?
  • What metrics should we track to evaluate chatbot performance?
  • Can you suggest a plan for regularly updating the chatbot's knowledge base?