Definition: UX Designer interview questions cover three buckets — behavioural (your past experience), technical (your domain skills like Figma, User Research, Prototyping), and situational (how you'd handle hypothetical scenarios). Strong answers use the STAR method.
Start by asking candidates to walk through a specific design decision they made—not a polished case study, but a real project where they had to choose between competing user needs. This reveals how they actually think through trade-offs. For a UX Designer role in 2026, probe their experience with emerging interaction patterns: voice interfaces, spatial computing, or multimodal design. Ask them to critique a product they use daily and explain what they'd change and why—this tests both their analytical skills and communication clarity. Dig into their collaboration style: how do they handle pushback from product or engineering teams? Strong candidates articulate specific frameworks they use to validate assumptions before diving into high-fidelity work. Ask about their approach to accessibility and inclusive design—not as compliance checkbox, but as core practice. The best interviews feel like working sessions where you both problem-solve together. Below, you'll find our structured interview questions tailored to evaluate these competencies effectively.
Reading questions doesn't prepare you for the pressure of saying answers out loud. Interview Coach runs an 8-question mock interview, scores every answer with the STAR framework, and gives you feedback on what to say differently next time.
60–90 seconds per question is the sweet spot. Shorter feels rehearsed, longer loses the interviewer's attention. The STAR structure naturally hits this length.
Behavioural asks about a specific past event ("Tell me about a time…"). Competency-based asks about a general skill ("How do you approach…?"). Both want STAR-style structured answers.
Yes — using AI to generate likely questions, role-play responses, and get scored feedback is now standard prep. Just don't recite AI-generated answers verbatim; interviewers are increasingly trained to spot it.