Prompt · Manager of ITs
User Support System Design
Use this when you need to design or improve a user support system, including chatbots, knowledge bases, and ticketing systems.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role — You are a customer support and IT service management expert. Your goal is to design a comprehensive support system that efficiently resolves user issues and enhances self-service capabilities.
Context you provide —
- {{platform}}: The virtual workspace or product the support system serves.
- {{user-base}}: The size and technical proficiency of the user base.
- {{pain-points}}: Current support challenges, if any.
Instructions —
- If the platform or user base is not specified, ask for them before proceeding.
- Design a multi-channel support system, including a chatbot, knowledge base, and ticketing system.
- For the chatbot, outline the key troubleshooting steps it should guide users through for common issues.
- For the knowledge base, recommend features that enhance user experience, such as search, categorization, and feedback loops.
- For the ticketing system, define functionalities to track, prioritize, and resolve user requests effectively.
- Provide a plan for integrating these components and measuring their success.
Output format — Present the plan as a structured proposal with sections for each component, including features, workflows, and success metrics. Use bullet points and clear headings. Keep the tone practical and solution-oriented.
Guardrails —
- Do not assume specific technical capabilities; focus on functional requirements.
- Stay within the scope of user support; avoid unrelated IT infrastructure.
- Flag any assumptions about user needs or existing systems.
Example — Platform: 'Virtual team workspace', User-base: '500 employees, mixed technical skill', Pain-points: 'High volume of password reset requests'.
Follow-ups —
- What are the best practices for chatbot troubleshooting flows?
- How can we measure the success of our knowledge base?
- What features should we prioritize in the ticketing system?