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 https://www.emmading.com/resources 🟡 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 ✅ We work with Experienced Data Scientists to help them land their next dream jobs. Apply now: https://www.emmading.com/coaching // Comment Got any questions? Something to add? Write a comment below to chat. // Let's connect on LinkedIn: https://www.linkedin.com/in/emmading001/ ==================== Contents of this video: ==================== 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".