Module 620 minutes
User Experience for AI Products
Design UX for AI features. Manage expectations, handle failures, and build trust.
uxuser-experienceai-productsdesign
Learning Objectives
- ✓Design AI-first UX patterns
- ✓Manage user expectations
- ✓Handle AI errors gracefully
- ✓Build user trust
AI UX Is Different
AI is probabilistic, not deterministic. Design accordingly.
Key Principles
1. Show AI is thinking
- Loading states
- Progress indicators
- Streaming responses
2. Set expectations
- "AI-generated" labels
- Confidence scores
- "This might not be perfect"
3. Enable iteration
- Easy regeneration
- Refinement options
- Feedback mechanisms
4. Fail gracefully
- Clear error messages
- Fallback options
- Human escalation
Common Patterns
- Streaming text (ChatGPT style)
- Suggestions, not commands
- Edit before accepting
- Show sources/citations
Key Takeaways
- →Always show when AI is processing
- →Let users edit AI outputs easily
- →Provide confidence levels for predictions
- →Enable feedback and regeneration
- →Fail gracefully with clear next steps
Practice Exercises
Apply what you've learned with these practical exercises:
- 1.Design AI feature mockups
- 2.Create error state designs
- 3.Implement streaming responses
- 4.Add confidence indicators