Practice whiteboarding with an AI coach that gives real-time feedback



The AI interrupts mid-sketch, not after.
Timed, with a PM voice that interrupts. No stickers. Works in FigJam and Miro patterns.
Across the 5 dimensions real interviewers score on: Problem Framing, User-Centricity, Ideation & Prioritization, Execution, Communication & Collaboration. Scorecards to help you improve.
Run realistic mock interviews, think out loud on a canvas, and get senior-level feedback on your structure, prioritization, AI fluency, trust design, and product judgment.
Whiteboarding is not about drawing the prettiest screen. It's a live test of how you think, structure ambiguity, make tradeoffs, and communicate under pressure.
These are the 5 signals that show up most consistently across real product design and AI product design interview prep resources: structure, user-centricity, prioritized ideas, design execution, and communication. Aakash Gupta's AI product design interview guide also highlights AI technical fluency as an emerging evaluation area for AI-native prompts.
Can you clarify the goal, user, context, constraints, and success metric before jumping into screens?
You restate the prompt, ask 2–3 sharp clarifying questions, define the primary user, and make a reasonable assumption when the interviewer leaves something open.
“Before sketching, I want to clarify: who is the primary user, what business outcome we're optimizing for, and are there any constraints I should assume?”
Can you move beyond “users” and name a real person, pain point, context, and job-to-be-done?
You segment possible users, choose one focus persona, explain their situation, and tie every design decision back to that user's need.
“I'll focus on Maya, a working parent planning dinner on her commute. Her job is to choose a safe, realistic meal in under 90 seconds.”
Can you explore multiple directions without getting lost, then choose one with clear reasoning?
You generate 3+ options, compare them with criteria like user impact, feasibility, usability, business value, and risk, then explain what you cut and why.
“For V1, I'd ship recommendations only. Onboarding and social can wait until we validate whether recommendations actually drive repeat usage.”
Can you turn an idea into a clear flow with hierarchy, interaction details, states, and edge cases?
You sketch a legible flow, label the core screens, explain key interactions, and include loading, empty, error, and recovery states.
“Here's the happy path. Now I'll add the three states that usually break this experience: no results, unavailable item, and failed connection.”
Can you think out loud, stay structured, handle feedback, and make the interviewer feel like they are working with you?
You narrate your process, pause intentionally, summarize between phases, invite feedback, and recover when challenged.
“Let me take 20 seconds to organize this. I'll come back with one direction, the tradeoff, and how I'd measure success.”
Your first full session is free, including the rubric scorecard and AI debrief. After that, unlimited practice for two weeks costs less than a coffee with a senior designer.
No card needed. Practice once, then decide.
Two weeks of unlimited practice. Cheap reps before the real one.
Paywall only fires after your first session completes. You'll always know how many exchanges you have left in the header.
Study the patterns behind strong product design interviews.
A curated library of mock interviews, public rubrics, scorecards, and AI product design breakdowns, selected to help you understand how strong candidates structure their answers, recover from ambiguity, and explain tradeoffs.
Best used when you want to:

Aakash Gupta
Full AI product design mock interview. Watch what strong structure, user segmentation, prioritization, AI risks, and closing story sound like.
Aakash Gupta / Product Growth
Best resource for AI-native product design prompts. The source we cross-referenced for our rubric's AI fluency, trust, and risk-handling categories.

YouTube
See how a real whiteboard challenge is facilitated and how candidates think aloud.
Ten Per Zent
Reference for structured 1–5 scorecard thinking. Inspiration for turning feedback into consistent evaluation categories.
Coursera
Beginner-friendly explanation of what whiteboarding tests: design thinking, collaboration, time pressure, and practice.
UX Design / Zhenshuo Fang
Classic whiteboarding framework: clarify, define, ideate, prioritize, sketch, and explain.
Curated from public web sources
What we could firmly source for Shopify, Meta, and Amazon. Plus an honest note on why we can't commit to OpenAI / Anthropic / Cursor numbers.