I have my onsite coming up.
What's the difference between Applied Data round and Product Gen. round?
#facebook
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***1. Product Generalist***
Root cause analysis (metric a went down by X% find out why)
Metric Definition (How would you define a metric to define the success of a new Ads feature)
Tradeoffs (How would you decide if we should swap Ads with an e-commerce panel)
Product improvement (How would you design a new feature if you had this dataset) - product improvement Questions are rarer, but I had one in my interview.
***2. Applied Data***
You can think of it as a more stats heavy product question.
Main categories are around
How to infer things about users based on the data FB has (e.g. how do you detect if people have faked their high school)
Doing A/B tests to measure something.
As you can see, the emphasis is more on the “why” in the product round and “how” in the applied data round.
DM me if you have other questions.