Cracking Facebook (Meta) Product Case Interviews: Tips for Data Science Interview Success!

Facebook/Twitter Metric Interview Question and Answer | Data Science Interview | How to Improve a Product

In this video, we'll go over how to answer one of the most challenging metric/product sense/case questions in data science interviews - how to improve a product.

LinkedIn Metric Interview Question and Answer
https://www.youtube.com/watch?v=JjA6hvmaK7I

Lyft/Uber Metric Interview Question and Answer
https://www.youtube.com/watch?v=rIel9IcLUtg

The Ultimate Guide to Cracking Business Case Interviews for Data Scientists
https://towardsdatascience.com/the-ultimate-guide-to-cracking-business-case-interviews-for-data-scientists-part-1-cb768c37edf4

🟢Get all my free data science interview resources
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🟡 Product Case Interview Cheatsheet https://www.emmading.com/product-case-cheat-sheet
🟠 Statistics Interview Cheatsheet https://www.emmading.com/statistics-interview-cheat-sheet
🟣 Behavioral Interview Cheatsheet https://www.emmading.com/behavioral-interview-cheat-sheet
🔵 Data Science Resume Checklist https://www.emmading.com/data-science-resume-checklist

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Contents of this video:
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0:00 Intro
2:27 Clarifying the question
4:55 Product improvement ideas - User journey map
8:23 Product improvement ideas - User segmentation
13:12 Prioritize ideas
14:52 Measure success
15:42 Summary

At 12:28, "launch a complain" should be "launch a campaign".