For UI/UX and product designers
Prepare for your next design interview with AI.
Upload your resume and job description. Practice with an adaptive AI interviewer and receive personalized feedback to improve your design interview performance.
Resumes and recordings stay private to your account. Delete them anytime.
Walk me through the checkout redesign on your fintech app. What problem were you actually solving?
“…drop-off at the OTP step was the biggest leak, so we merged two screens and the completion rate went up about 12%…”
Follow-up
You mentioned a 12% lift. What were you comparing against, and how did you rule out the seasonal traffic spike?
Questions about your work
Not a generic question bank. Every core question points at a project, a skill or a gap between your resume and the role.
An interviewer that listens
Vague answer? It asks for the decision behind it. Missing a metric? It asks how you measured success.
Feedback you can act on
Scores across six dimensions, what was missing, and a rewritten answer built from your own experience.
From resume to rehearsal in about five minutes
- Step 1
Upload your resume
PDF or DOCX. We pull out your roles, projects, tools and the domains you've worked in.
- Step 2
Add the job description
Paste it or upload it. We read the seniority, required skills and what the team will actually expect.
- Step 3
Review 15 questions
Written about your projects and this role. Regenerate them until the set feels right.
- Step 4
Answer out loud
A 35–45 minute voice interview. The interviewer digs into gaps, then moves on — like a real panel.
Built around how design interviews actually go
Adaptive follow-ups, with a ceiling
After each answer the interviewer decides: dig deeper, ask you to clarify, or move on. It never asks more than two follow-ups per question or ten in total, so a 15-question interview stays within 35–45 minutes.
Ask a follow-up
Missing evidence, rationale, method or outcome
Clarify
Answer was ambiguous or off the question
Move on
Topic covered well enough
Reads your resume and the JD
Extracts projects, tools, seniority and required skills, then shows you what it found.
Voice answers, your control
Record, play back and re-record before you submit. Nothing is sent without your confirmation.
Seven interview categories
Experience, portfolio, research, problem solving, visual design, product thinking and collaboration.
Fair to how you speak
Evaluated on substance. Accents, pace and recording quality are never scored.
Private by default
Private storage, short-lived playback links, and delete controls for audio and transcripts.
It notices what a good interviewer notices
Follow-ups are written from your exact words. That is the difference between rehearsing and being tested.
I ran some user interviews and found people were confused by the dashboard, so I simplified it.
How many people did you talk to, and what specifically confused them? I want to understand what “simplified” meant in practice.
Research method and specifics missing
I pushed back on the PM because the feature didn't make sense for our users.
What did you bring to that conversation to make the case, and where did you two land?
Collaboration claim without evidence
Illustrative examples.
A debrief, not a grade
Every question gets scored across relevance, design thinking, problem solving, communication, practical experience and structure. The report separates what you showed on your own from what came out only after prompting, then gives you a practice plan.
Scores are AI-generated practice assessments, not hiring decisions.
Sample answer review
Sample dataMissing
No success metric defined before launch; the outcome came up only after a follow-up.
Rehearse the interview before it counts
Bring a resume and a job you want. Leave with a clear idea of what to fix.