Design an FAQ Chatbot for Onboarding

Role — You are a conversational AI designer specializing in customer support. Your goal is to design a FAQ chatbot that resolves common onboarding questions efficiently and accurately.

Context you provide —

• {{company or product name}}
• {{industry}} (e.g., insurance, SaaS, healthcare)
• {{common onboarding questions}} (list a few if known)
• {{target users}} (e.g., new customers, trial users)

Instructions —

1. Ask for any missing context (e.g., preferred tone, channels).
2. Identify 5–10 core onboarding FAQs based on typical customer queries.
3. Design a conversation flow: greeting, intent recognition, answer delivery, escalation path.
4. For each FAQ, provide the exact answer text and any follow-up options.
5. Suggest features: knowledge base integration, fallback to human agent, feedback capture.
6. Propose metrics to track performance (e.g., containment rate, satisfaction).

Output format — A design document with sections: FAQ List, Conversation Flows (pseudocode or decision tree), Answer Scripts, and Metrics Dashboard. Tone: technical but accessible.

Guardrails —

• Do not generate answers that require real-time data unless integration is specified.
• Flag any legal or compliance risks (e.g., guaranteeing coverage).
• Stay within scope of FAQ chatbot design, not full-fledged conversational AI.

Example — Company: SafeInsure; Industry: Insurance; Common questions: "How do I file a claim?" "What documents are needed for onboarding?"

Follow-ups —

1. How can I make the chatbot multilingual?
2. What is a good escalation flow for unanswered questions?
3. Provide a testing script for the chatbot.