Analytical Interview Questions

Anonymous Salmon - "clarify: paid users, annual subscription user segmentation: levels; active vs dormant; age; regions use cases & pain points solution brainstorm: retention = activation + engagement + resurrection; prioritization of solutions execution"See full answer

kkkt - "Me: First let's clarify the user journey of the Facebook dating app Interviewer: Me: Do we know how success is defined in this context? Interviewer: Please figure that out yourself Me: Ok let's first discuss the mission of Facebook and how Facebook dating app is part of that. Then lets brainstorm what the goals would be for Facebook Dating. That help us determine the user behavior and metrics we can create. Finally let's fi"See full answer

Anna H. - "Clarifying questions: How to define “price” in this interview question? Price is defined as the market value of a crypto asset (bitcoin, Ethereum, tether, BNB etc.). Due to the characteristic of crypto assets which is time-sensitive, is this designed for a particular period of time? 1H, 1D, 1W, 1M, 1Y? No Do we know the target customer segment given geographic location or demographic? Not specific. Is it designed across devices? Mobile app. Assumptions: There are 03 cu"See full answer

Yulia D. - "First, I would like to ask some clarifying questions. Are we talking about the business metrics dashboard or health metrics(like response time)? - it is up to you Do I understand right that Netflix is a subscription-based video streaming service for watchers? So I know that they create original content for Netflix, but it is out of the scope of this question. - right My approach will be to: Define the business goal from Netflix’s mission Break down the actions taken by users at each stage of the"See full answer

Ankit J. - "The goal is to determine which shows get promoted to the home screen i.e the screen the user sees after launching Netflix. There are two ways to promote shows today; Editorially - the editorial team selects the categories and shows to be shown to the users Algorithmically - based on the historical views and contextual information such as location, time of the year, age, etc the recommendation algorithm determines a list of shows to show on the screen. The higher level goal for Netflix is o"See full answer

Hans - "Described a bug I found on an app designed for a specific make of tablet. In this sequence I described: The app the bug was found in The priority and severity of the bug That it was a regression to an existing working piece of functionality The hardware and the firmware on the device the bug occurred on The steps that led to me finding the bug and how it manifested itself Talked about how we debugged from the point of view of: Code Component Deployed application Comparison to"See full answer

Exponent - "This is another Diagnosis problem. To answer this question, we suggest you use our framework (along with the TROPIC method) to be as thorough as possible. The framework is as follows: Ask clarifying questions List potential high level reasons Gather Context (TROPIC)Time Region Other features / products (internal) Platform Industry / Competition Cannibalization Establish a theory of probable cause Test theories Propose solutions Summarize "See full answer

Akheel M. - "Product recommendation is basically on what you have already viewed / listened etc. It would be based on your clicks, engagement and feedback as well.It mostly works on the most recent experience and sorted by the current experience first ( meeting the above criteria) followed by the relevant sorts by most positive responses in the categories recorded for you."See full answer

Josh L. - "I would define success by first figuring out what our goal is by building the reels feature. Are we trying to increase DAUs? Increase enagement? Etc... For the sake of this, I think to define success it makes most sense to see if there is an increase in the amount of time users are spending on instagram. If time spent per user increases, it is likely that ad spend can increase and in turn increases instagram's reveue. We need to be sure that there are guard rails in place and make sure that by"See full answer

Ruth J. - "Provided an overview of IG Search and the value it provides for users Gave 3 metrics that I would consider when determining success Shared the metric that I would use as the north star Got a follow up question. If users were clicking on irrelevant results from their search would that affect your metrics and how would you deal with that Do you think it is a bad thing if users use search to search for something, get irrelevant results and perform an action based on that?"See full answer

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Michelle D. - "I'd first start with confirming my understanding with the interviewer of Spotify's key metric overall. For this exercise, my working assumption of Spotify's north star is time spent listening (TSL, for short), which can be measured daily, weekly, and monthly. As the PM for Discover Weekly, I want to improve Discover Weekly such that I positively impact TSL. As such, my goal is to increase minutes spent listening to Discover Weekly playlists. The primary metric I will want to track is minutes s"See full answer

John F. - "First, I would like to establish some assumptions about the problem to determine if this is possible. For this scenario, I will assume that “accepted” does not mean a student is enrolled at the university (most students apply to multiple universities and can only attend one university). For simplicity, I will also assume that each student is applies to a single department and that every student is associated with a single department. Based on this information, I see a scenario that this would"See full answer

Ilnur I. - "I can try to summarize their discussion as I remembered. Linear regression is one of the method to predict target (Y) using features (X). Formula for linear regression is a linear function of features. The aim is to choose coefficients (Teta) of the prediction function in such a way that the difference between target and prediction is least in average. This difference between target and prediction is called loss function. The form of this loss function could be dependent from the particular real"See full answer

Dev S. - "Clarfying questions : When we say a decrease in users adding the bank accounts. I would like to understand how the users making payments within Venmo I assume they are either using their credit cards/debit cards? I would like to understand why the Adding of Bank Accounts is integral to Venmo since the users are using the debit card and Credit Cards. My understanding is when the payments happen through debit cards rails Venmo pays higher interchange fees and to Reduces any losses incurred"See full answer

Niji R. - "General Approach: In a funnel, prospects that dropped off at the very end just before conversion are the ones that were most likely to convert simply because they went through the effort of going through multiple steps to advance to the very end of the funnel. The more the prospects advances through the funnel, better their probability of converting. I'd therefore focus more on reducing drop-offs at the final stages of the funnel for better conversion. Caveats: There are certain use-cases where"See full answer

Vishal S. - "Product Understanding - Push notifications are pop up notifications received on the device (phone, tablet etc.) sent by various Meta apps whenever a new post has been made or a new message is received Clarifying Questions - Is is specific to one device? Is it specific to one product? Is it specific to one region? Is it specific to one OS? Is this as a result of changes to algorithm/UI? Existing or a new feature? Assumptions - KPI calculation will only be for users who h"See full answer

Nithesh S. - "First, let us start with the mission of Amazon: “We strive to offer our customers the lowest possible prices, the best available selection, and the utmost convenience.” Alignment of recommendations system with Amazon's mission: Suggesting recommendations to the users would be a part of this mission as it would allow users to buy things on their mind for the lowest cost in market (may or may not be true). They might get better prices if they order adjacent items together. For example, i"See full answer