Realistic interview questions, recruiter-style feedback, and hiring insights, in minutes. Built for Product, UX, and UI designers.
This is a sample interview exchange. In the real product, you type your answer and the AI evaluates it in real time — just like this.
The gap between being a great designer and interviewing like one is real. Here's what most candidates get wrong.
Designers describe what they did, not why decisions were made or what problems they were solving. Recruiters want narrative, not feature lists.
Vague outcomes like "improved user experience" don't land. Interviewers at top companies expect conversion rates, NPS changes, and retention data.
Answering design questions without demonstrating business context, user research strategy, or tradeoff reasoning signals junior-level thinking.
A focused three-step process that mirrors real interviews at top design-forward companies.
Select the exact role you're targeting to get questions tailored to your level and specialty.
Our AI conducts a live mock interview using real questions from companies like Google, Airbnb, Figma, and Notion — adapting based on your answers.
Receive a full report with scores, strengths, gaps, and a personalized improvement plan ready in under 60 seconds.
Every question is adapted from actual design interviews at top companies, asked naturally by our AI interviewer.
Every session produces a detailed scorecard your hiring manager would be proud of — giving you the exact intel to improve.
Practice as much as you need. New question sets generated each session so you never repeat yourself.
Questions calibrated to Senior, Staff, and Lead levels across Product, UX, and UI specialties.
Our scoring mirrors how actual design hiring managers at FAANG-level companies evaluate candidates.
Dedicated sessions to sharpen how you present case studies and defend your design decisions.
Practice the "tell me about a time when..." format until STAR answers come naturally.
Each report ends with a personalized action plan: exactly what to work on before your next session.
These are illustrative examples of the types of improvements designers typically make through structured interview practice. Individual results will vary.
After focusing on answer structure over 6 practice sessions, storytelling scores in example feedback went from surface-level descriptions to clear problem-solution-outcome narratives with measurable impact.
Through repeated practice on stakeholder scenarios, example candidate responses evolved from general statements to specific stories with clear business context, tradeoffs navigated, and outcomes measured.
Product thinking responses in example sessions shifted from describing design solutions to articulating user problems first, connecting to business goals, and framing design decisions with measurable success criteria.
These are illustrative examples only. DesignMock AI is currently in development. Actual results will vary based on effort, starting ability, and frequency of practice.
Every dimension of a real design interview loop, covered by dedicated practice modes with AI feedback calibrated to each format.
End-to-end design process questions. Problem framing, research approach, ideation, decisions, and shipped outcomes — all evaluated with recruiter-style rubrics.
Present your case studies under simulated interview pressure. AI plays the role of a skeptical hiring manager — asking follow-up questions and probing your rationale.
Practice STAR-format answers for conflict, leadership, ambiguity, and collaboration scenarios. Scored on structure, specificity, and impact framing.
Think out loud through open-ended design problems. Practice structuring ambiguous briefs, asking clarifying questions, and communicating your process verbally.
Role-play difficult stakeholder conversations: pushing back on feedback, aligning across teams, presenting to executives, and navigating disagreements diplomatically.
Practice giving and receiving structured design feedback. Evaluate sample designs under time pressure, communicate critique professionally, and frame suggestions constructively.
Our question library is built from real interview experiences shared by designers who've been through loops at design-forward companies. The AI adapts follow-up questions based on your answers, just like a real interviewer would — probing on specifics, asking for metrics, or pushing deeper on your reasoning.
We're currently in final development and opening access in batches to waitlist members. By joining the waitlist, you'll be notified before we open to the public — and waitlist members get the first available spots plus founding-member perks.
Yes. You'll be able to select your target role (Product Designer, UX Designer, UI Designer) and seniority level (Mid, Senior, Staff/Principal). The AI calibrates questions and scoring rubrics accordingly — the expectations for a Staff Designer are meaningfully different from a Mid-level role.
We designed the scoring rubrics in collaboration with senior design practitioners and people who have conducted structured interviews at design-forward companies. Each competency (storytelling, product thinking, UX process, etc.) is evaluated against criteria that reflect what strong candidates actually demonstrate — not just generic communication skills.
No — DesignMock AI is designed to cover the full interview loop: behavioral questions, portfolio walk-throughs, product design case studies, whiteboard challenges, stakeholder scenarios, and design critiques. Each mode has its own dedicated practice flow and feedback framework.
Yes. Your practice sessions and responses are private to your account and will never be shared with employers, recruiters, or third parties. You will be able to delete your data at any time.
Based on how structured deliberate practice works, most people see meaningful structural improvement in their answers within 4–6 focused sessions. Consistency matters more than volume — one targeted session per day in the week before an interview is more effective than five sessions in a single day.
We're planning to offer a free tier that lets you try the core experience — including at least one full mock interview session with AI feedback. Waitlist members will have input on what the free tier includes. Pricing details will be shared before launch.
DesignMock AI is coming soon. Join the waitlist now and get early access before we open to the public — plus founding member perks.
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