Recent PM interview question I've been using: You're the PM at Netflix handling the home screen. How do you determine how shows get promoted editorially vs algorithmically recommended? Walk through metrics/principles/trade-offs and how it impacts various parts of the biz.
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Some folks I'll tag in who might have opinions
: @dantley@JoannaG@umang (who uses a version of this question in his own interviews!) and@RichLightShedPrikaži ovu nit -
@patio11 has some of the best tweets on potential good answers.Prikaži ovu nit -
another naive/bad answer: making early value judgements on certain decisions as "good" or "bad". For example - "netflix promoting their own shows is obviously bad". Doesn't reflect first principles thinking on what the objectives are.
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As a lot of you have figured out instantly - this is really a iceberg question. Looks like a simple UX problem but is really about trying to understand Netflix as a system and as a business.
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Do you expect the candidates to have some kind of knowledge on Netflix's internal power balance or arbitration process? or do you expect an answer regardless of the context (it could be netflix or any "sorted" marketplace)?
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I know nothing about Netflix's internals so nothing expected!
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Another red flag is when people conjure up black boxes and don't understand the nuances: "there will be an algorithm that does personalized recommendations and will find what you want to watch". Yes, but...
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what you described is how Disney+ is setup right now though, so far from naive. You also have a finite amount of resources in addition to user attention
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Algorithm should work towards 4 core metrics for cohorts - Depth of user session & repeat session at week or month',s time. 3rd - New Interest nurtured (Content apart from user's interest to build graph) 4th - Engagement on New editorial content
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Your thought pls ?
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