Interview Questions

Anonymous Halibut - "The product lens I view the mousetrap through is a product which has a decision maker (someone who wants to catch a mouse) and an end user (yes, yes, the mouse to be trapped). I believe that the mousetrap is superior when it shows a better speed of catching mice. So given that there are mice to catch, it has a better 'conversion' rate of mice which took interest in the mousetrap / mice who got caught - this is a decision maker, e.g. a homeowner, perspective For a mouse, a trap is better when it"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

Danyal R. - "Understand the problem: Chipotle is a chain, located across the US. It's in every major city Make Assumptions I'm assuming in each state there's approx 5 Chipotle restaurants. So in total across US there is 5 * 50 = 250 Chipotle's Let's calculate the sales revenue for a whole year. Create an equation Total Yearly Revenue = # of people going to Chipotle X* *frequency X cost of a meal Break down the problem \# of people going to Chipotle There's about 300M in the US. Out of 300M I'll a"See full answer

Sonali S. - "I would launch the self driving car e.g. Audi has done in the past. I would use AWS Deep Racer -> Rewards algorith and pythons function to do the same."See full answer

Exponent - "This is a Strategy Question, which asks you to justify high-level business decisions and strategy. There's no set formula, but we recommend proposing at least three different reasons to answer the question. Let's go over one possible solution: > There's definitely a lot we could talk about, but I'll try to stay as focused as possible and talk about the three biggest ways it could have affected HelloFresh the most. Fulfillment Issues from Rapid Growth > I first imagine that HelloFresh expe"See full answer

Exponent - "We've identified the problem as a Design a Product question. Use the following framework for tackling these types of questions: Ask Clarifying Questions Identify users, behaviors, and pain points State product goal Identify current solutions Brainstorm new solutions Evaluate solutions Measure success Summarize We'll go through each of these step by step. Ask Clarifying Questions The PM interview isn't about your ability to come up w"See full answer

Sean L. - " import pandas as pd from datetime import datetime def findfastestlike(log: pd.DataFrame) -> pd.DataFrame: log=log.sortvalues(['userid','timestamp']) #get the prev event, time by user log['prevevent'] = log.groupby('userid')['event'].shift(1) log['prevtimestamp'] = log.groupby('userid')['timestamp'].shift(1) True only on rows where the previous event was a login and the current event is a like log['loginlike'] = (log['prevevent'] == 'log"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