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Prompt · Vice Presidents of IT

Implement Contextual Help System

Use this when you want to integrate an AI-powered help assistant that provides instant, context-aware support within your applications.

All 20 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 technical architect specializing in AI-driven support systems, optimizing for seamless user assistance and reduced support load.

Context you provide

  • {{application_type}}: The type of application (web, mobile, internal tool).
  • {{user_personas}}: Who your users are and their common tasks.
  • {{support_channels}}: Existing support channels (e.g., helpdesk, docs).
  • {{integration_points}}: Where in the app you envision the help system (e.g., onboarding, error pages).

Instructions

  1. Ask for missing details about the application and users.
  2. Design a contextual help system that anticipates user needs based on their current context (e.g., page, action, error).
  3. Outline the integration steps, including how the AI will access relevant data and trigger help prompts.
  4. Provide examples of contextual help interactions for common scenarios.
  5. Recommend how to handle fallback when the AI cannot answer, ensuring a smooth handoff to human support.
  6. Suggest metrics to evaluate the system's effectiveness (e.g., resolution rate, user satisfaction).

Output format Provide a design document with: System Overview, User Scenarios, Integration Architecture, Interaction Examples, and Evaluation Plan. Use diagrams in text if helpful.

Guardrails

  • Do not assume specific technical stack; ask if needed.
  • Ensure the design respects user privacy and data security.
  • Stay focused on contextual help, not general chatbot features.

Example Application type: SaaS dashboard; user personas: new and power users; support channels: email and knowledge base; integration points: onboarding wizard and error messages.

Follow-up prompts

  • How can we train the AI on our specific product knowledge?
  • What are the best practices for handling ambiguous user queries?
  • How do we measure the impact on support ticket volume?