Interview Questions

Kanon A. - "I'd like the phone to send notifications according to one's schedule registered on the calendar app. For example, when I have a plan to hang out with my friends at the restaurant and it is expected to be raining at that time, I want my phone to send a notification saying don't forget to take your umbrella."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

Exponent - "Before we begin, it's important to understand what the interviewer is testing with this type of question. This is a Strategy Question that tests an interviewee's ability to create compelling arguments from high level information, discern motive, and think strategically. We can split this question into two views: is Spotify's high churn rate okay or not? Let's see the argument that is bad, and then the opposing side. High churn is bad We'll first give the naive argument here — that churn i"See full answer

Susmita S. - "Function that is passed as an argument or parameter to another function and it gets executed when the function that it is passed to gets executed"See full answer

Anonymous Dove - "People interested in travel on Pinterest are looking for inspiration, information, and interaction. They want to discover new places, learn useful tips, and connect with other travelers. To improve their experience, I would suggest the following ideas: Create curated collections of travel pins: Pinterest users love to browse and save pins that match their interests and preferences. By creating curated collections of travel pins, you can showcase the best content from different sources and"See full answer

Rahul J. - "This depends on the following two variables: What's the percentage of people dropping off at each step What's the perceived impact to business and users of the failure of each step. In general, I'd start from the very end, and then go back in the process as it's more important that we satisfy customers who have paid i.e. they should get a booking confirmation vs customers that are entering details and then payment info."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

Greg Y. - "Thanks for interviewing me!"See full answer

Anubhav A. - "Started at 1.48 Clarifying question: Are we interested in a particular lens for this problem? Looking back in history to understand what significant changes did fast internet made in the world: -> Fast Internet - More consumption -> Fast Internet - More Adoption -> Fast Internet - Cheap Internet Let's try to see what kind of things will change in each of these categories. Let me look at it from a lens of an end user (internet consumer uses the internet for work and maintaining their socia"See full answer

Ayush B. - "focus was on tradeoffs of diff object detection algorithms, data collection and labelling, foundational models, followup: not working well in production, retraining/active learning"See full answer

Nick S. - "[I'm not sure whether the answer below is the best, as I have not gotten result and feedback from my interview] Ans: I would solve by first using a VAE-style model, to create a latent space embedding that translates user description to generate images. Training would be done on the 1000 avatar images and 100000 descriptions, following this scheme: VAE: description -> encoder -> latent space -> decoder -> image Q: "OK, but that means you're limiting the generated images to be only the 1000 imag"See full answer

Mark - "Clarifying questions: What's Airbnb goal in making this requirement? Are we talking about the listing for Airbnb's core business - lodging? Approach: Before we dive in, it would be beneficial for us to first discuss our base understanding of Airbnb's business, who are the user segments that this feature can impact, and some hypothesis on what Airbnb's goal should be Once we define the goal of this feature, we can go over our approach on how we will evaluate whether we should make"See full answer