Analytical Interview Questions

Exponent - "You should be able to easily 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! "See full answer

Pattie K. - "Here are some ways I would evaluate the optimum number of notifications as a product manager: Conduct user research and surveys to understand preferences on notification frequency. Ask users directly how many is too many for different types of notifications. Analyze usage data to see when notifications start getting ignored or dismissed. Look for drop offs in engagement after a certain number of notifications. A/B test different notification frequencies and content types. Measure the open"See full answer

Bik D. - "Clarification: What does contextual search on Instgram do ? - It can help find the right profiles, content based on location easily based on user search Are we focused on anything specific ? - Nothing specific, but the goals is either activation or engagement Why is it important for Meta ? - Help user discover the right content quickly on Instagram thus helping them focus more time on engagement and less time searching Broad User Groups: Viewers (find the most"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

Daniel M. - "First I would like to clarify this scenario with some questions: 1) The KPI that dropped, is it a good sign or bad sign? (Ex.: Maybe a our CAC or CRC that dropped than it is a good sign OR just our sales that overall dropped) 2) What kind of sales is this (frequency)? Once a month, week or subscription? 3) What kind of business are we talkng about? Delivery? Saas? 4) What kind of customers is the company focused? B2B, B2C, B2B2C? 5) Is the overall company sales decreasing or there is a segment t"See full answer

Exponent - "You should be able to easily 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! "See full answer

Sudhansu T. - "In Ideation phase, the below points should be concentrated on. Ideation Market research Competitor Analysis in the next phase it should be conceptualisation where we define the problem, find user persona and some of the feature priortization. Next phase has to be validation where we build the MVP, do user testing, Iterate. Then comes the prototyping, Development, QA, Marketing and Position. After which we launch the product. may be a soft launch first and the proceed to full launch"See full answer

Exponent - "This is a Measure Success question with a slight twist. The twist here is we need to consider a hypothetical improvement. This changes our formula slightly - specifically we may not be able to apply a UX flow to drive analysis since we're unsure of the implementation. Instead, we'll look at core behaviors that are indicative of success. Here's the modified formula: Ask clarifying questions State the goal of the feature **Apply a UX flow to drive analysis of what to measure"See full answer

Tulio G. - "Imagine you're a PM at YouTube and you've made the decision to ban videos with explicit language from monetization; take me through your decision process. Clarifying questions: Was the decision made, to ban videos in general from the platform, or only for monetization? Answer: Ban for Monetization only, the videos would still be available on the platform. Considering highly offensive, vulgar, sexual or graphical language are already considered violations of Youtube'"See full answer

Esteban G. - "Mentioned that business category will not be back to previous COVID levels as a result of a systematic shift in the way business is now conducted via zoon calls. Exposed poor customer service and online booking experience as a focus of "things to fix" to improve bookings Suggested to shift (upgrade) the leisure customer segment into the luxury travel experience which was previously the choice of business class. Prioritized fixing customer service digital experience as it is the central spi"See full answer

Tharun G. - "Through confusion matrix we can find the over all TP,TN,FP,FN so that we can find the actual and correct predicted value."See full answer

Shivam S. - "I. Understanding Customer Needs & Requirements II. Developing a Project Timeline III. Defining the Problem Statement IV. Identifying Product Features, Benefits & Requirements V. Defining Project Objectives & Success Criteria VI. Identifying Stakeholders Associated with the Project VII. Determining Resources Needed to Complete the Project & Potential Risks"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

Medha A. - "DAU and MAU: The number of active users daily and monthly to gauge the content recommended on the home page. Bounce Rate: The percentage of users who navigate away from the site after viewing only the home page. Number of Signups: The number of users who signup after seeing the content on the homepage leading to lower CAC. "See full answer