Facebook Product Analytics product sense 题目分享

之前给大家分享了三道product sense的题目，

• facebook engagement rate 的product题 How would you improve engagement on FB? ：
• FB - Should we add a love button?  new feature的题目：
• metric drop 怎么处理 Facebooks’ user engagement drops by x%, what would you do? :
  

现在 在面试facebook  需要一些更多大米 发帖 看贴 父老乡亲 请加大米啊 目标是筹集15个大米 给别人加大米 你不用用自己的大米 真的  


这次分享题目： If 70% of Facebook users on iOS use Instagram, but only 35% of Facebook users on Android use Instagram, how would you investigate the discrepancy?

Answer:

Tis is really just another way to ask: we are trying to predict Y (here Instagram usage), how to find out whether X (here mobile Operative System - OS ) is a discriminant variable or not.

And follow up question is: if not, what are the actual discriminant variables? If yes, what are the actual differences between the operative systems that might drive the outcome?

So, let's just go step by step. Is OS an important variable in trying to

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etween the two apps.
1. Again, you can build a model using those variables to separate iOS vs Android. You might find out that loading time is significantly worse for Android,
2. or people from the home page are not clicking where they should (bad UI),
3. or there were more bugs in the past and this has affected long term growth (people stopped using it after trying the buggy versions and never came back).


现在 在面试facebook  需要一些更多大米 发帖 看贴 父老乡亲 请加大米啊 目标是筹集15个大米 给别人加大米 你不用用自己的大米 真的  
我面完了回来分享更多题目 快来加大米啊啊啊啊啊

谢谢楼主的分享!

真心感谢楼主的分享！

感谢楼主分享！

可以有偿收product sense嘛？感谢！we chat ln_zhz

感谢风向

谢谢lz的分享~~