Google·Product Manager·Onsite - Product Sense / Strategy
- Design a cereal dispenser.
“My first instinct was to jump straight into features and I had to pull myself back.”
FAANG / Big Tech
Most of these Google write-ups come from Software Engineers (1,167), then Product Managers (686) and Data Scientists (125). The most reported rounds are the product sense round (667), the technical phone screen (660), the behavioral / leadership round (252) and the onsite coding round (214).
2146 interview notes · updated Oct 2026
“My first instinct was to jump straight into features and I had to pull myself back.”
“I knew the answer involved a hash map and a doubly linked list but explaining why it needs to be doubly linked took me a second longer than it should have.”
“This felt like a product question at first and I went down the wrong path talking about UX for username conflicts.”
“I went straight to the NLP pipeline and basically ignored the infrastructure side for the first ten minutes.”
“The problem itself isn't hard to understand but I fumbled for a minute on the data structure choice.”
“My first instinct was to do pairwise comparisons between all numbers and BFS from there.”
“I jumped straight to a queue-based approach and started talking about rate limiting before I'd even scoped the problem properly.”
“My first instinct was to jump straight to metrics like activation rate and drop-off points, but I realized mid-answer I hadn't said anything about what 'good' even looks like for this onboarding.”
“I picked something safe like 'problem solving' and immediately regretted it because the follow-up was basically 'okay but prove it.' Had to scramble to tie it to a real team situation with measurable results.”
“This is the kind of question where you think you have a good story and then halfway through you realize you're just listing things.”