Dropbox·Product Manager·Onsite - Product Sense / Strategy
- Estimate Airbnb's annual revenue.
“I started with supply side (number of listings, occupancy rates, average nightly price) and worked toward a GMV number before applying a take rate.”
13 Product Managers have shared notes from their Dropbox interviews, with the questions they were asked in each round. That is 28% of the 46 Dropbox interview notes on Screna AI.
13 Product Manager interview notes
“I started with supply side (number of listings, occupancy rates, average nightly price) and worked toward a GMV number before applying a take rate.”
“This one tripped me up more than it should have.”
“I fumbled the opening because I jumped straight into features before asking any clarifying questions.”
“I picked apps I genuinely use but in hindsight I spent too much time on the 'what' and not enough on the 'why.' They seemed more interested in whether I could articulate user value and behavior patterns than in the apps themselves.”
“I started listing things like selection bias and novelty effect, which was fine, but I could tell they wanted me to go deeper into why each one actually breaks the experiment rather than just naming them.”
“I broke it down by starting with total cars on the road today, then tried to layer in adoption curves by region and use case (ride-share vs personal).”
“I knew this conceptually but fumbled the explanation a bit.”
“My first instinct was to jump straight to causes, which was probably the wrong move.”
“I froze a little at first because 'education' is so broad.”
“I started by asking who the executives were and what decisions they actually needed to make, which felt right but I probably spent too long on that setup before getting to the actual metrics.”