Recent Product Manager Interview Questions

Sumit P. - "CQs: Help? → any sort of help Customer support? On App guidance? Help for creators?developers? → no Currently it is FAQ based, predefined app guide for the new users, customer support for critical cases Any specific problem came out in research or want me to brainstorm → brainstorm Improve what? → CSAT - lagging metric, should not be only goal Time spent in on app help → key goal is reduce this No constraints Geo - US Users E"See full answer

Sumit P. - "CQs: Swiggy? → instamart or food delivery → consider both Why do we want to increase AOV right now? Is it not at the desired level or exploration? → let’s say exploration Swiggy is a public company → goal is profit Biggest bite in profit is delivery cost hence delivery cost/unit revenue should be minimised Delivery cost = (fixed base cost + distance * x) * probability of spoil cases Can be done by Lowering delivery cost → seems challenging "See full answer

Neha P. - "The mini case was very much interviewer led and the questions asked were following: Tell the value proposition of Capital One Shopping to a senior executive who has recently joined Capital One What factors would you consider to expand Capital One Shopping? Technical Considerations? AB testing analysis - Interviewer shared AB testing results and asked for my recommendation Summarize"See full answer

Dania L. - "Was this asked as a part of the mini case?"See full answer

Tracy M. - "I defaulted to a dictionary-style definition of autonomy, then loosely tied it to users and systems. But I missed the interviewer’s signal that this was really a design/strategy probe. Stopping at a generic level made it sound like I couldn’t translate agency into what matters for product — user trust, trade-offs, risk, and roadmap implications."See full answer

Shoaib H. - "Clarifyig questons Why do we want to re-design the feature? are there any existing problem with the existing DM feature? -- you figure out Do we have any particular goal in mind which we want to achieve? related to Engagement, Session time etc? -- Think yourself When we say DMs, this includes P2P, Message to business, Message to an open account or you have something else in mind? -- Think yourself With that bieng said lets first understand what are the core use cases of the DM as a feature P"See full answer

Samyak J. - "North metric will be No. of signups for the events. Other metrics to track: No. of new events created Overall percentage of Attendees/signups"See full answer

Raoul S. - "Total number of successful conversations (Weekly). Success measured by sharing AI output or success indicators (e.g. Like)"See full answer

Bjorn L. - "Whatever your situation is, the correct answer is: "I'm very happy with my current job (expand on your experience, ability to deliver, team, achievements etc). But when I saw this opportunity, I had find out more." You essentially want to sounds interested, but clarify that your current situation is great."See full answer

Henry H. - "Overall, a successful Netflix viewing session requires that the user was able to find a piece of content that they loved watching. Now, to break this down, how we might define this: -Time browsing (from app open to content played) -Satisfaction --> inferred satisfaction: did user complete watching the piece of content? --> explicit: did the user rank that they loved the content (2 thumbs up)? The way I would evaluate a new Top Picks ML feature would be to implement an A/B test as follows: Te"See full answer

Ketshi B. - "Clarifying questions When we say signals do you mean just features that are fed into the ML model that decide how the content should be ranked? Is newsfeed the front page of fb app. Can you expand what you mean by relevance? User journey User enters blue app.. Newsfeed is the first thing they see. User either continues on newsfeed ie scrolls through it or moves to a separate part of fb As they are scrolling they may see contents from friends, creators and ads, or other pages that they have been"See full answer

Aekagra S. - "To improve, we first need to understand the problems or opportunities for improvement that are currently present. Assumption: Potential improvement in the recommendation algorithm to make recommendations more pointed Current recommendations are not very specific. Users end up getting frustrated and move away from YouTube Potential improvement in the recommendation algorithm to make sure the user is not just bombarded with one set of videos, but gets varied recommendations to c"See full answer