Conversation Design for AI Assistants: Best Practices
Design conversations that feel natural and accomplish goals. UX principles for AI chat.
Conversation Design for AI Assistants: Best Practices
Great AI isn't just about technology. It's about conversation design.
Conversation Design Principles
1. Be Goal-Oriented
Every conversation should progress toward a goal:
- Answer a question
- Complete a task
- Make a decision
- Connect to resource
2. Minimize User Effort
- Provide options, not open fields
- Anticipate next questions
- Remember context
- Reduce typing needed
3. Maintain Context
Don't make users repeat themselves. Track:
- Previous messages
- User preferences
- Past interactions
- Current state
4. Guide, Don't Dictate
Offer paths, but let users deviate:
"I can help with A, B, or C. What interests you? Or ask anything else!"
Conversation Patterns
The Greeting
Set expectations and invite engagement:
"Hi! I'm [Name], your [role]. I can help you with [topics]. What brings you here today?"
The Clarification
When unsure, ask don't guess:
"Just to make sure I help you correctly - are you asking about [A] or [B]?"
The Handoff
When AI can't help:
"This needs a human touch. I'm connecting you with our team. They'll be with you shortly."
The Close
End conversations well:
"Glad I could help! Anything else before you go?"
Common Mistakes
- Starting with "How can I help you?" (too generic)
- Long paragraphs (hard to read)
- No clear next step (leaves users stuck)
- Ignoring previous context (frustrating)
- Over-apologizing (annoying)
Great conversations don't happen by accident. They're designed.
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