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Product Management Improvement Question: Enhancing Netflix's My List feature for better user engagement and content discovery

How would you improve Netflix My List/Saved?

Product Improvement Medium Member-only
Feature Prioritization User Segmentation Metrics Definition streaming entertainment media technology
User Engagement Product Improvement Netflix Content Discovery Streaming Services

Introduction

I'm excited to dive into improving Netflix's My List/Saved feature. This functionality is crucial for user engagement and content discovery, so enhancing it could significantly impact user satisfaction and retention. I'll approach this by examining user segments, identifying pain points, generating solutions, and proposing metrics for success. Let's begin by clarifying some key aspects of the current situation.

Step 1

Clarifying Questions

  • Looking at Netflix's global presence, I'm thinking about regional content preferences. Could you share insights on how My List usage varies across different markets or regions?

Why it matters: Determines if we need to tailor solutions for specific markets Expected answer: Usage patterns differ significantly between regions Impact on approach: Would consider region-specific customizations

  • Considering the evolving streaming landscape, I'm curious about cross-platform behavior. How do users interact with My List across different devices (smart TVs, mobile, web)?

Why it matters: Influences the design of a seamless cross-device experience Expected answer: Significant differences in usage patterns across devices Impact on approach: Would prioritize cross-platform consistency and syncing

  • Given Netflix's content strategy, I'm wondering about the relationship between My List and content recommendations. How does the current algorithm incorporate My List data into personalized recommendations?

Why it matters: Determines the potential for integrating My List more deeply into the recommendation engine Expected answer: Limited integration currently exists Impact on approach: Would explore tighter coupling between My List and recommendations

  • Thinking about user engagement metrics, I'm interested in My List's impact on viewing behavior. What percentage of viewing time comes from content saved in My List, and how has this trend changed over time?

Why it matters: Helps quantify the feature's current importance and potential for improvement Expected answer: My List contributes to 15-20% of viewing time, with a slight decline recently Impact on approach: Would focus on increasing My List's contribution to overall viewing time

Tip

I'd like to take a brief moment to organize my thoughts before moving on to the next step. This will ensure a structured approach to our discussion.

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