Ace your interviews with Exponent’s Data Science Interview Course: https://bit.ly/4e7OGM7
In this data science mock interview, our guest discusses how to measure the success of adding a new reaction feature to a social media platform's stories. They explore key metrics such as user engagement, reaction usage rates, and experiment design considerations. Learn valuable strategies for testing product features and analyzing results in a real-world data science interview scenario.
Want to practice peer-to-peer mock interviews? https://bit.ly/3Xmj8wq
Chapters-
00:00 - Intro
00:29 - Testing New Feature in Social Media
03:44 - Reaction Feature for Different Types of Users
05:44 - Discussing Metrics and User Segments
09:35 - Reaction Usage and Adoption Rates
11:54 - New Reaction Metrics and Guardrails
15:19 - Notifications: Best Way to Inform Users
16:05 - Design Considerations for Social Media Experiments
25:58 - Automated Z Test Selection for Large Sample Sizes
29:59 - Power Analysis: Effect Size, Power, Significance
36:03 - Tradeoff Experiments with User Segments
39:41 - Quantitative vs Qualitative User Research
40:55 - Feedback and Reflections
Watch data science mock interviews from Exponent:
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https://youtu.be/-daFO-i-SFY
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https://youtu.be/6bAyvNE2CeM
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