Netflix
Product Sense
Hard

PM Interview: "How would you improve Netflix's content recommendations?"

5 min read

🔎 What They're Testing

Assesses ability to reason about personalization algorithms, UX improvements and measuring recommendation quality.

📋 Rubric: What a Good Answer Covers

  • Articulates different user personas
  • Identifies gaps in current recommendations
  • Proposes enhancements: collaborative filtering, context, UI nudges, novelty vs. habit
  • Considers new user cold start
  • Suggests testable metrics (engagement, viewing time)

🧠 Key Insights

  • Personalization is iterative and data-driven
  • Solve both cold start and overfitting
  • A/B test for engagement metrics
😎 Confident enough? Start a mock interview with a random question now.