Cracking Metric/Business Case/Product Sense Problems | Data Science Interview

In this video, I'll share three frameworks that I used to answer product sense/business case/metrics questions which help me get job offers from Airbnb, Lyft and Twitter.
3 Categories of Questions & Frameworks:
- Diagnose a problem
- Measure success
- Launch or not

Check out this blog post for commonly used metric frameworks in Business Case Interviews
Part 2: https://towardsdatascience.com/the-ultimate-guide-to-cracking-business-case-interviews-for-data-scientists-part-2-7bc38fbe635f
Part 1: https://towardsdatascience.com/the-ultimate-guide-to-cracking-business-case-interviews-for-data-scientists-part-1-cb768c37edf4

PDF slides
https://drive.google.com/file/d/1Aar6hJmZPsLyetH7-IGN5OyOK-bZ4pp1/view?usp=sharing

Best resources to gain product knowledge https://towardsdatascience.com/how-i-got-4-data-science-offers-and-doubled-my-income-2-months-after-being-laid-off-b3b6d2de6938

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

Facebook Metric Interview Question and Answer
https://www.youtube.com/watch?v=JCNsI0TtNGw

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

Sorry for the typos!
In section "Measure success": calcification (clarification), sutable (suitable), Cancelation (Cancellation)

0:00 Intro
1:22 What are product sense problems
2:54 When you don't have any experience
3:28 What are companies looking for
4:17 Diagnose a problem
8:01 Measure success
10:52 Launch or not
13:42 Tips to ace the interview
15:08 Outro

Видео Cracking Metric/Business Case/Product Sense Problems | Data Science Interview канала Data Interview Pro