Practise real Google interview rounds with an AI interviewer that adapts to your answers — 3 mock interviews across 3 roles, modelled on real candidate reports from 2024 to 2026. Each ends with a published rubric and a transcript-backed scorecard, so you know exactly what to fix before the real thing.
A scenario where a sudden 40% traffic drop hits your primary PMax campaign immediately following a core algorithm update. Chloe, a Senior Ads Product Lead, will challenge your signal-based optimization logic before you can propose a quick fix. You walk away with a transcript-backed scorecard naming the exact attribution gap you could not justify.
An open-ended market-sizing case asking you to size the TAM for a shopping app built for elderly users in India, calibrated to the Google product-manager analytical bar. Priya Nadkarni, a senior PM-style interviewer, interrupts every number you cannot ground in a reason and pushes for a second method. The round produces a transcript-backed scorecard naming the exact assumption you stated without justification.
A product design round where you must re-engage Indian users who installed YouTube but stopped opening Shorts, with every segment, metric, and trade-off pushed on hard. Priya, a Google APM-loop interviewer, sets one prompt and probes your structure, your success metric, and the cost of your feature before you move on. The transcript-backed scorecard names the exact moment your reasoning stopped being grounded in a real user.