Interview Questions

Aayush S. - "With $1 billion to invest in generative AI, my focus would be on addressing unmet needs in everyday life. Here's my vision: Identify User Pain Points: I would start by understanding the specific challenges a segment of users face daily. Many people are integrating AI into their routines to simplify tasks, yet there are gaps that need to be filled. Learn from ChatGPT’s Success: ChatGPT's rapid growth to 200 million users demonstrates the demand for AI solutions that genuinely solve"See full answer

Kaitlyn M. - "System architecture diagram. Define API params, responses, tradeoffs between caching and webhooks to update message delivery status."See full answer

Rahul G. - "50% of users spending money on play store at a global level sounds off I would factor this to maybe 20% of play store users I'd go about solving for it as follows: Play store revenue has multiple revenue sources and in my view all are significant contributors, they are as follows: Ads Subscription revenue from app In app purchases I'll start with TAM(user count) for google play store = (population x internet penetration rate x smart phone share of internet users MINUS china user ba"See full answer

Pankhuri T. - "Hi Everyone, As an aspiring product manager, I feel with the latest Ray-Ban or Orion AR glasses that provides hands-free experience to the user. So basically, with these glasses you can interact, ask it to remember where you parked and what can you make with the ingredients which are in front of you, I think an extension to it can be a very great healthcare product. Now let's imagine that this glass is storing all your eating habits, what medicines you take, with an integration to meta watches"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

Maggie Y. - "8 Questions in 1 hr. no additional info is available from the interviewer, not much interaction. I still don't quite understand their objective."See full answer

Anonymous Muskox - "Interviewer : How would you reduce ride cancellation on Uber ? Shailesh : Okay before I jump onto the solution, I would like to clarify some points for better understanding. So ride can be cancelled from the both the parties rider and the driver ? So which side are we talking about ? Interviewer : we are seeing more cancellation from diver side. Shailesh : From how long we are seeing this trend ? Interviewer : you can say from an year. Shailesh : Okay, also are we seeing these cancellations from"See full answer

Bk - "To bring any product to market here are the below steps that I would (did) take: 1.Understand the problem stmt / stakeholder need and asses depth of the problem (qualitatively and then gather metrics to quantify it) 2.Do market study on understanding relatable solutions if any 3.Carve out viable solution/ideation that aligns with overall Business Vision/Goal 4.Get stakeholders buy in on the idea 5.Guesstimate and prioritize high level features, Cost and ROI. 6.Build Business case for Project Le"See full answer

Anonymous Bird - "Here's my structure: Align with interviewer on understanding of the product and state key assumptions Product rationale What is the product (1-2 sentences)? Why does it exist? How does it fulfill Meta's mission? Who are the key stakeholders and users of the product? Business goal: Key Users and value User type User flow (high level) Intersection of value North Star Metric Supporting metrics for different user types Counter-metrics"See full answer

Yair G. - "Are we speaking of all Meta Ads products on something specific? All of them Meta is a social media and AI company that generates most of it's revenue from Ads on social media. Meta's mission is to empower people to build communities and bring the world closer together. If ads violate the community guidelines regulations that can directly hurt both Meta's mission and its revenue stream. For example ads that include hate speech are against community guidelines and also hurts Meta's mission. Ha"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

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

Usman B. - "System Components Data Collection Layer Posts with hashtags are asynchronously sent to Kafka topics Each message contains: hashtag, timestamp, userid, postid Multiple Kafka partitions ensure scalability and fault tolerance Processing Layer Apache Flink processes streams in real-time Implements sliding window aggregation (1hr, 24hr, 7d windows) Calculates topic popularity using weighted metrics: Post count User engagement (likes, comments) Unique user"See full answer

Darren L. - "First I will set up the formula, second I will calculate each of the components then adding them up. Finally, I will talk about corner cases if any. 1, To begin with, I want to think broadly what could go into the equation. Bandwidth depends on number of devices at a time, so if a student use both laptop and phone at the same time then we have 2. Beside, grad students need internet for various reasons, such as checking email, searching on Google for information, watching lectures... Different a"See full answer

Vishal S. - "Product Understanding - Ads are what you see from companies as stories, posts, reels. Post are from users (connections). We have to design an experience which produces maximum engagement while generating ad revenue. Clarifying Questions - Is it specific to posts/stories/reels ? Is there an existing post to ads ratio or do we have to start from scratch? Is it specific to a device/OS? Is it specific to a region/user demographic? Assumption - Existing posts to ads ratio"See full answer

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

John H. - "All products and services have to sell. I would create measurements on how much time, labor, and funds went into a project and how much value it brings back to customers and company."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

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