Interview prep
Designing for Uncertainty & Trust Interview Questions
6 subtopics, 132 questions. All 132 carry a written answer.
UX for uncertainty and confidence display
- When should you show a confidence score to a user, and when should you hide it?
- Describe three ways to communicate uncertainty without displaying a number.
- What is the risk of showing a percentage confidence that users cannot interpret?
22 questions · 22 answered
Designing for failure and graceful degradation
- What should happen in the UI when the model returns nothing usable?
- Design the fallback experience for an AI feature when the provider is down.
- Explain the difference between failing loudly and failing silently, and which you prefer.
22 questions · 22 answered
Human-in-the-loop product design
- When should a human be required to approve an AI action rather than merely able to?
- Design the review interface for a human checking 200 AI-generated outputs an hour.
- Explain how review fatigue undermines a human-in-the-loop design.
22 questions · 22 answered
Feedback loops and data flywheels
- Design the feedback mechanism for an AI feature where users rarely click thumbs down.
- Explain the difference between explicit and implicit feedback signals.
- What implicit signals tell you an output was bad?
22 questions · 22 answered
Trust, transparency and explainability in UX
- What does a user need to see to trust an AI recommendation?
- Explain the difference between explainability and transparency in a product context.
- How do citations change user behaviour, and what happens when they are wrong?
22 questions · 22 answered
Onboarding users to probabilistic products
- Design the first-run experience for a user who has never used an AI feature.
- How do you teach users what the AI can and cannot do without a manual?
- Explain the role of example prompts in onboarding and their downside.
22 questions · 22 answered