As PM for Netflix Watch History, would you implement more detailed Netflix viewing analytics with privacy trade-offs, or maintain basic history?

Introduction

The Netflix Watch History feature presents a compelling trade-off between implementing more detailed viewing analytics and maintaining basic history with privacy considerations. This scenario touches on the core of user experience, data-driven decision making, and privacy concerns in the streaming industry. I'll analyze this trade-off by examining the product context, potential impacts, metrics, and experimental approach to arrive at a strategic recommendation.

Step 1

Clarifying Questions (3 minutes)

• Based on Netflix's recent strategic shifts, I'm thinking this might be related to their ad-supported tier. Could you provide more context on how this aligns with Netflix's current business priorities?

Why it matters: Helps frame the solution within Netflix's evolving business model Expected answer: High priority for ad-tier optimization and content recommendations Impact on approach: Would focus on balancing user privacy with advertiser needs

• Considering Netflix's global user base, I'm curious about the regulatory landscape. Are there specific regions or markets where privacy regulations are particularly stringent?

Why it matters: Ensures compliance and informs regional rollout strategy Expected answer: GDPR in Europe, CCPA in California, etc. Impact on approach: May require a phased rollout or region-specific implementations

• Given the potential for more detailed analytics, I'm wondering about the current technical infrastructure. What's our current data processing and storage capacity for handling increased viewing data?

Why it matters: Determines feasibility and potential infrastructure investments Expected answer: Current system can handle 2x data volume without major upgrades Impact on approach: Might influence the granularity of data we can realistically collect

• Thinking about user segments, I'm curious about the variation in privacy concerns across different user groups. Do we have any insights on how privacy sensitivity differs among our user segments?

Why it matters: Helps tailor the solution to different user preferences Expected answer: Younger users generally less concerned, older demographics more privacy-conscious Impact on approach: Could lead to a personalized opt-in system for detailed analytics

• Considering the potential impact on content creators and licensors, I'm wondering about our contractual obligations. Are there any agreements with content providers that might be affected by more detailed viewing analytics?

Why it matters: Ensures we don't violate existing agreements and identifies potential opportunities Expected answer: Some contracts have clauses about sharing viewing data Impact on approach: Might require negotiations with content partners or data anonymization strategies