Interview Questions

Vikas T. - "Too much talk nothing concrete to know about the person that I am interviewing."See full answer

Anonymous Muskox - "Interviewer: What is your favourite Google product, and how would you improve it? Shailesh: Alright, before that, let me clarify; I have to give the Google product, which I like the most, irrespective of how it is currently performing in the market, is it a market leader or not. Also, I need to justify why it is my favourite product and suggest some improvements. Interviewer: Perfect Shailesh: Okay, the way I would like to go about it is, first, I will explain what qualit"See full answer

Eshan P. - "Background A. Objective Lyft has a presence in Toledo, Ohio. At our current revenue per ride of $6, we can match 60% consumers requesting a ride with a driver. Our goal is to maximize net revenues in the next 12 months by figuring out the optimal revenue per ride. B. TLDR Summary · With a target market of (~100K-138K) consumers, on a $25 charge to consumers, Lyft should pay $20.75 to drivers and fix its share at $4.25 to maximize its net revenues over a 12-mont"See full answer

Soledad A. - "Where is the second part of the video?"See full answer

Logan S. - "Clarify the Goal (What Does Success Look Like?) Asked: Why is DoorDash launching bikes for Dashers? Is it to: Expand Dasher availability in dense urban areas? Lower delivery times or costs? Increase access to work for those without cars? Each possible goal shapes the metrics differently. Broke Metrics into Categories: Operational Metrics Measure how well bikes are functioning as a delivery method. Average delivery time (bike vs car/walk) Order completion rate for bike Dashers On-t"See full answer

Sumit P. - "CQs: Help? → any sort of help Customer support? On App guidance? Help for creators?developers? → no Currently it is FAQ based, predefined app guide for the new users, customer support for critical cases Any specific problem came out in research or want me to brainstorm → brainstorm Improve what? → CSAT - lagging metric, should not be only goal Time spent in on app help → key goal is reduce this No constraints Geo - US Users E"See full answer

Scott S. - "Great question! Last year, we were working on a critical project to develop a real-time risk analytics platform. This platform was designed to provide our traders with instantaneous risk metrics, allowing them to make informed decisions in a fast-paced trading environment. Midway through the project, we faced a significant issue: our chosen data processing framework was not performing as expected under the high data throughput required by our trading algorithms. This was causing unacceptable lat"See full answer

Anna D. - "Situation. Initially, my team consisted of young guys who were hired by team leaders based on hardskills. Previously, the company had just begun the transition from a process-based to a product-based approach. In the process of searching and selecting candidates, the interests of the team and the product owner were not taken into account. The candidate didn't pass a behavioral interview on soft skills. Thus, the team consisted of diverse and talented guys, but not very interested in fast wor"See full answer

Jonathan S. - "To clarify the question, we need to know What portion of “food” are we discussing? All groceries, cold ready-to-heat meals, meal kits, hot meals, or something else? Finding “something else” presents the opportunity to invent a new sector of the business that leverages Amazon’s unique strengths. That’s more likely to be a winner idea, from Amazon’s perspective and the interviewer’s opinion of you, than copying some other company’s existing approach. But it’s also possible the interviewer has a"See full answer

Anonymous Shark - "Clarify: Are we talking about traditional noise-cancelling which cancels noise for listeners or we are talking about the speaker side noise-cancellation? - Interviewer replied: Both Are we exploring to build something on top of existing hardware around Meta VR products or something in general? - Interviewer replied: up to you. High level though process (Could be detailed with more structure): Considering Meta's vision on building metaverse, where meta currently has AR/VR products li"See full answer

TurboPM - "Assumptions: Geo: US Channels: Both Mobile/Web Includes Stocks and other kinds of tradable financial instruments Product for end users and not for FB employees to trade stocks or financial Instruments Separate App or integrated within the FB Blue App? Integrated within the Blue App Constraints:None Why might this make sense for FB? Recently with the advent of free retail trading platforms like Robinhood stock trading has been democratized and common people, young and old, hav"See full answer

Michelle D. - "I'd approach this first with a clarifying questions geared towards fraud prevention as these are going to be important to actually finding a root solution. I'd want to take cues from the interviewer in order to then identify potential hypotheses. Clarifying questions: How is fraud calculated? It's important to clarify the metric used to know that fraud is increasing. For example, is this a percent of all customers or transactions? Is the fraud that the merchant reported confirmed fraud"See full answer

Maya B. - "Sounds like interesting problem! First I'd like to clarify a few things.... Clarify/Find Constraints. WHO - who are we improving the post-booking experience for? restaurant visitors? or restaurant staff who view reservations? new vs existing users? WHAT - what do we mean by improve? is there a specific metric we're looking to improve upon (user experience? increasing show-up rate? booking a second time? etc.?) confirm process/JTBD - are we referring to the standard OpenTab"See full answer

Gaston B. - "Use a representative of each, e.g. sort the string and add it to the value of a hashmap> where we put all the words that belong to the same anagram together."See full answer

Sai vuppalapati M. - "At a high level, the core challenge here revolves around building an effective recommendation algorithm for news. News is an inherently diverse category, spanning various topics and catering to a wide array of user types and personas, such as adults, business professionals, general readers, or specific cohorts with unique interests. Consequently, developing a single, one-size-fits-all recommendation algorithm is not feasible. To enhance the personalization of the news recommendation algorithm,"See full answer

Veronica S. - "How about this one... Situation: In my previous Organization, I was PM of Financial services- Business Loans. I was building the user journey and end to end process. We were in middle of development and I got one more product to work on - BNPL (Buy Now Pay Later). Tasks: I was asked to provide the roadmap , rough wireframes, guess estimates (No of engineers required) and by when we can ship the MVP. Need not to mention but as startups always have resource constrains and tight deadli"See full answer

Dinar M. - " Thanks a lot for showing us how a recommender system can be build. I see it was proposed to use Collaborative filtering which is user - item matrix having dimension N * M (where N - number os users and M - number of songs). Though, it was explained how it gonna be built, it is still unclear how all users and songs features are going to be used. In that matrix we have values in cell (lets say i, j) like 1 - a specific user (i) clicked on song (j) when it was recommended or it is 0 when the user"See full answer

Zhi C. - "The opening of people spending a lot time on Facebook is way too long. Almost half time of the video. The analysis of Facebook business model should be very brief. People know Facebook business model. Maximize the ads display while balancing the user experience is the key. She can drive to this point much faster. Segmentation of user group feels irrelevant to the question. I would answer the question in a different way. Ads revenue is the single most revenue stream for Facebook. So we c"See full answer