Interview Questions

Arvind R. - "Based on the demand data, i.e. how many people are seeking to take shuttle during a certain period, I will make that as on-schedule. On the lower peak times, I will make it as on-demand with the expectation of how long it will take from request to shuttle available."See full answer

Hl M. - "Clarifying Slack is a mature product in markets with millions of users B2B platform Expand customer base to school boards SWOT Technology is mature and well reputed Good privacy practices Threats Google school Microsoft learning education Zoom Journeys User Users for slack - for - school School boards 12 school boards Primary Secondary High Universities - Remote learning / Distant educations - Incumbents MooCs - Existing platform End Users: Students Teachers Administrators Ed"See full answer

Chermaine Y. - "Zero in on the problem, the expectations of user are to find a restaurant but their feed is uninspired so they may bounce out of Yelp. Identify the impact size of user feeling like discovery is not personalised enough by seeing % of users that selected a restaurant from the homepage If large enough, I will look at who is likely the ones that want personalisation and why? Do they feel like they want to try new restaurants or are they finding it difficult to find restaurants they have been"See full answer

Nirmmall K. - "I would recreate the issue from my side to land at the 404 error and check which page has issues with retrieving the information. Booking.com has a lot of features and workflows inside the product, so I would see how many users use this flow which gives back this error and try to get the metrics to know the criticality of the issue. I would talk to the engineering team to look into this and discuss to set a deadline for the fix based on the criticality. Since the sales team reported this iss"See full answer

Yuexiang Y. - "A Random Forest works by building an ensemble of decision trees, each trained on a slightly different version of the data. The key mechanism is bagging: for each tree, we sample the training data with replacement (bootstrapping), so every tree sees a different subset of examples. On top of that, at each split the algorithm randomly selects a subset of features, so trees explore different predictors. These two sources of randomness decorrelate the trees. When we aggregate them — by averag"See full answer

Exponent - "This is a pretty straightforward Improve a Product question. Let's first go over the Improve a Product formula: Ask clarifying questions Identify users, behaviors, and pain points State product goal Brainstorm small improvements Brainstorm bolder improvements Measure success Summarize Now, let's begin! Ask clarifying questions Before we begin listing off recommendations, it's important you ask questions to ensure you and the interviewe"See full answer

Lucy Y. - "I'm a bit confused - The $40B hrs is the total time spent commuting to work, correct? Whereas the question asks "hours lost ... in traffic". Is the answer not correct then?"See full answer

Devi K. - "Assuming this is a all-inclusive product management team only, I would structure the team as follows: Platform/Technical PM - 2 Front-End PM - 3 (mix of Senior and Assistant PM) Head of Product (People and Organisation behavious) and Principal Product Manager (in the weeds and strategy involved)"See full answer

Jonathan O. - "Clarify: Is this an app that we want to house within the FB ecosystem, or will this be a standalone app? When we say food delivery, do we mean meals that are ready to eat? Groceries? Convenience store items? Assumptions: Let's make some assumptions here: App will not be housed in with FB ecosystem. This is not even an app associated with FB. Food delivery will be defined as delivering meal(s) that are ready to eat when you receive them **Goal: Take on the incumbents by addressi"See full answer

Rajeev K. - "I’ve spent over 6 years building and scaling e-commerce products across EMEA and APAC. At Jumia, I led product initiatives on the checkout and payments side. For example, I launched gamified promotions on PDP and checkout that improved engagement and delivered a 2.3x uplift in conversion. I also introduced automated installment payments and order cancellation flows, which not only improved user trust but also reduced complaints by 30% and lowered operational costs. Before that, at Lazada, I work"See full answer

Indranil G. - "It is NYC so mainly a business area. Also, there will be travelers to visit. Now we estimate that 5% of them are business travelers and 3 % of them are tourist So 8000000*5% = 400000 is Business And 7600000*3% = 228000 is tourist Now we also need to consider there are a family tourist who will use the same room that let us estimate 40% of the tourists are family means 40% * 7988000M = 91200 family and 1368000 is solo travelers 45600 are family room required considering there are 2 fa"See full answer

Anna H. - "Great. I’d like to break down this by discussing impacts of post investment decisions for the Pixel handset lines at two levels of micro and macro evaluation, which will be able to lead us to an evidence-based answer of what I think Google should continue to invest and ramp up their investment to hit their target ROI. First, closely looking at micro aspects, Google’s business model is a so-called multisided platform, generating either free search engines and monetizing contents for Internet use"See full answer

Ananya M. - "I am assuming goal is to improve driving experience for seniors and not solve for transportation between point A to B. A in ananya loves road trips and long drives but when ananya is old and grey she misses going on long drives and road trips . goal : user experience user : physical disability hinders them from getting in and out of car seniors have joint and back pains, they can sit at the same position for longer time eye sight is weak for driving low energy to walk to parking and"See full answer