Product execution mock interview: user engagement (w/ Microsoft PM)

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Published 2020-08-18
Here's a product management mock case interview featuring a Microsoft PM focusing on a product execution question.

🎥 This full PM mock interview features Ankur Biswas, Microsoft PM, as the candidate answering a product execution question, specifically investigating why Instagram Story user engagement is down. Our ex-Googler Founder, Kenton Kivestu, plays the interviewer. Ankur is part of the Product Folks, an awesome community of product enthusiasts that put on a lot of great events: www.theproductfolks.com/.

If you're preparing for Facebook product management interviews, this video is a must watch. Also, for anyone preparing for other PM roles, execution and analytics questions about how to investigate a drop (or spike) are a common topic - this interview will give you insight into what these questions are like and what a good response looks like.​

🚀 Interviewing soon? RocketBlocks has the best concepts, drills, and coaching to get you more offers: www.rocketblocks.me/product-management.php?utm_sou…

💡 Looking to become familiar with the PM role, the interview process, and how to start preparing? Our free product management guide covers it all: www.rocketblocks.me/guide/pm/product-management-pr…

➡️ Check out our intro video to understand what PM is:    • What is product management?  

➡️ Here's what to expect in PM interviews:    • Introduction to product management in...  

#PMinterviews​ #productexecution #productanalytics #facebookPM​ #RocketBlocks​

All Comments (21)
  • @anmol557
    One of the best structure and framework. Ankur did a really great job. I would hire him. One think that I would have considered was dissecting the engagement by source, meaning engagement could come either from 1) users directly opening the app whenever they get the time and 2) engagement coming from PN. This would have helped identifying the root cause faster.
  • @HDA295
    Kenton and Ankur, I tried to think of the plan before I heard Ankur's answer after learning the three changes. My thought process was funnel based check 1) Content Creation: Messenger teams story creation --- Check number of stories uploaded 2) Content Discovery : Notification changes 3)Content recommendation : Story bar.
  • @botardtim
    Something I was expecting to hear about with the experiments 2 & 3 is that if user's time is finite, you're asking them to view stories over a single duration/session versus many smaller ones throughout the day - which they may not want to do, or can't do. Or the stories from the notifications that are batched are competing against each other for the same piece of limited time, resulting in a lower engagement.
  • Great video and great exercise. Two comments: 1. Facebook doesn't care about NPS/CSAT. 2. I'd also suggest diving deeper into revenue impact given stories are an individual placement for advertisers.
  • @voluspa6867
    Watch this right before my product sense interview and took alot of inspiration from this! Thanks and keep up the great work
  • @b__05
    This was amazing. Thanks!
  • Overall good structuring and explaining the though process or reasons before making any conclusionsđź‘Ť
  • @ss2500411
    Idea way for an interview to run. however, it will require the interviewer to be close to the product, and also the question to not be hypothetical for such an exchange to happen. Keeping that aside, a great example of peeling the layers, and letting reasons pave the way through the investigation.
  • @spjena5491
    Overall I thought it was excellent framing by Ankur on the interview. The initial framing and approach was perfect. However, I felt a little lost when it came to analyzing the variants in the test. For instance, I would typically approach something like this by identifying all the exhaustive factors - ruling them out one by one to narrow down the specific scenario.With respect to the assumption of no external impact - stock markets are a great example - a lowering of consumer sentiment in US can lead to a ripple effect on all major geos. In this case, it seems like there were underperforming variants in the A/B test. So the approach should have been to first identify the impact to the metrics for the variants and then hypothesize about the change in functionality which could have led to the decline in overall DAUs. Also, it wasnt clear if the A/B test was launched globally or in certain geos or to certain segments ( another hint on whether these were the contributing source ). Overall great stuff.
  • @vivkr
    If the overall engagement was down and the experiment was to bundle notifications, I would investigate that because it’s quite obvious that these notifications would drop driving traffic about stories. Not sure why it got so muddled up in the end.
  • @shawnpouliotte
    OK i have watched many of these mock interviews and this is by far the best I have seen. If interviewee really didn't get the question ahead of time, I tip my hat to him on this. Very solid thought process. If it was indeed scripted, still good as it was very illustrative.
  • An amazing mock interview. The overall framework was great. I really enjoy all your videos. Very insightful.
  • @miker3524
    This is a very good mock, but not Excellent! However, probably this is a realistic interview with minimal behind the scenes preparation. Actually, you want to watch something like this. 1st because it portrays the real reaction of a candidate 2.You learn how to pivot when things does not go perfectly. One good thing in this interview, the candidate pivoted well on potential issues impacting user experience. Some assumptions and comment through the interview, were not necessarily best choices, but again, if this is on the spot interview, i think this really good.
  • @IamMC939
    Excellent job by Ankur! Thanks for a great video on this topic
  • Rally detailed and excellent interview though it was hard to keep up with all of the details.