Introduction
As a Product Manager for Facebook Newsfeed, I'm faced with the critical trade-off between showing an advertisement or the "People You May Know" (PYMK) widget. This decision impacts user engagement, revenue, and the overall platform ecosystem. I'll analyze this trade-off by examining the products involved, identifying key metrics, designing experiments, and providing a data-driven recommendation.
Analysis Approach
I'd like to outline my approach to this trade-off analysis and ensure we're aligned on the key areas I'll be covering.
Step 1
Clarifying Questions (3 minutes)
- Why it matters: Understanding financial goals helps prioritize revenue vs. user growth.
- Hypothetical answer: Advertising contributes 90% of revenue, with aggressive growth targets.
- Impact: May lean towards prioritizing ad placement over PYMK.
- Why it matters: PYMK's effectiveness in user acquisition affects its value proposition.
- Hypothetical answer: User growth has slowed to 5% YoY, with PYMK contributing to 20% of new connections.
- Impact: Could influence the decision to maintain or increase PYMK visibility.
- Why it matters: Improvements in either system could affect their relative performance.
- Hypothetical answer: A new PYMK algorithm is in development, promising 30% better recommendations.
- Impact: Might suggest delaying major changes until the new algorithm is implemented.
- Why it matters: Establishes a baseline for current performance and user experience.
- Hypothetical answer: Currently, it's 70% ads, 30% PYMK.
- Impact: Helps determine if we're already at an optimal balance or if there's room for adjustment.
- Why it matters: External factors could limit our options or force changes in the near future.
- Hypothetical answer: New data privacy regulations are expected in the next 6 months, potentially limiting PYMK's data usage.
- Impact: Might influence a decision to focus more on ads if PYMK effectiveness could be reduced.
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