Introduction
The trade-off we're examining today is whether Netflix should prioritize showing more diverse content with lower relevance or focus on higher-relevance recommendations. This scenario touches on the core of Netflix's recommendation system, balancing user engagement with content diversity. I'll approach this analysis by examining the business context, user impact, technical considerations, and potential experiments to inform our decision.
Analysis Approach
I'd like to start by asking a few clarifying questions to ensure we're aligned on the key aspects of this trade-off. Then, I'll walk through my analysis framework, covering product understanding, hypothesis formation, metrics identification, experiment design, and ultimately, a recommendation with next steps.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps understand if there's a specific issue we're trying to address. Expected answer: Recent metrics show high engagement but low content diversity. Impact on approach: Would focus on balancing diversity without sacrificing engagement.
Why it matters: Aligns solution with overall business strategy. Expected answer: Content diversity is important for long-term subscriber retention. Impact on approach: Would emphasize long-term benefits in the analysis.
Why it matters: Helps tailor recommendations to different user needs. Expected answer: Newer subscribers tend to explore more diverse content. Impact on approach: Would consider segmented recommendation strategies.
Why it matters: Determines the scope and timeline of potential changes. Expected answer: Moderate changes required, but feasible within current architecture. Impact on approach: Would focus on incremental improvements rather than complete redesign.
Why it matters: Helps scope the solution within available resources. Expected answer: Limited resources available, needs to be balanced with other projects. Impact on approach: Would prioritize high-impact, low-resource solutions.
Subscribe to access the full answer
Monthly Plan
The perfect plan for PMs who are in the final leg of their interview preparation
$99 /month
- Access to 8,000+ PM Questions
- 10 AI resume reviews credits
- Access to company guides
- Basic email support
- Access to community Q&A
Yearly Plan
The ultimate plan for aspiring PMs, SPMs and those preparing for big-tech
$99 $33 /month
- Everything in monthly plan
- Priority queue for AI resume review
- Monthly/Weekly newsletters
- Access to premium features
- Priority response to requested question