Product Manager Analytical Interview Questions

Exponent - "This question is a Diagnosis Question. Let's follow the template for answering Diagnosis Questions: Ask clarifying questions List potential high level reasons Gather context (with TROPIC method!) Establish a theory of probably cause Test theories Give a potential solution Summarize Ask Clarifying Questions Before we begin, it's important to ask clarifying questions if necessary. This question is quite straight forward so we may not have ma"See full answer

Exponent - "You should be able to identify this as a Measure Success question. These kinds of questions are used to test your analytical skills, as well as your ability to track project progress post-launch. Recall the strategy for tackling them methodically and thoroughly: Ask clarifying questions State the goal of the feature / product Behavior Mapping / UX Flow Mapping Provide criteria to prioritize metrics Prioritize metrics Summarize Let's begin! Ask cl"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

Anonymous Koala - "Let us define productivity. If there is a change in productivity what will be some of the impacts that can be used to measure if this is true? Finance: Are we meeting the quarterly revenue targets and able to increase our guidance as planned Tech: Are we innovating and introducing new products and services to the market, how does it compare to the historical performance People: Are people taking more days off and how is their average feedback on sentiments Partners/Customers: Who wor"See full answer

Manas M. - "The correct answer as per the interviewer was since we have to exclude in build product engagement metrics and user feedback for the sake of this question, consulting firms/data analytics firms who do market research we rely on that data to determine how useful a competitor's feature is . again this is the answer provided by the interviewer."See full answer

Prashant R. - "Goal of the pilot deployment: 1) Evaluate if riders would choose self driving cars (SDC) over regular driver operated cars 2) Test SDC performance/efficiency in given area before scaling operations Interviewer liked my goals and asked me to proceed , this is where I got stuck. I wasnt sure if this was an algorithmic based problem or something else and started saying about general issues SDC may have that may impact customer experience such as SDC waiting too long in traffic affecting ETA, SDC"See full answer

Exponent - "This is a Diagnosis Question. The goal of Diagnosis questions is to test whether the interviewee is organized and logical in their product approach. It also tests whether the PM is exhaustive in causes for decreases and whether they provides realistic solutions to the problem. Let's follow the Diagnosis Question formula: Ask clarifying questions Propose high level reasons for a drop Gather context (TROPIC) Establish a theory of probable cause Test theories "See full answer

Michelle B. - "I would analise it in some macro and micro aspects and then evaluate those, and think abou an release strategy. First considering the macro aspects that are: what is the main business goal and is the product addressing it? what is the user value and how the product is working towards this? And by last, what is the success metric, and how likely the product as it is, is in the way of accomplish it? Then, if those macro aspects are on track, I would go for a second round of analysis, to ev"See full answer

Jiin S. - "I would firstly see what's the trend of the sales by monthly, daily, and yearly to see when was the decline started and what happened during that time. I would also look at the sales by different customer or product segmentation to see what segment had the most decline in sales. Then, I would make some hypothesis where like for this age range customers with this product segment had a decline in sales due to XXX and we would increase the sales by YYY with this new feature. Then I would design the"See full answer