Company Context
Meta operates products at global scale, and Facebook remains one of its largest consumer surfaces with billions of users across mature and emerging markets. The company monetizes primarily through advertising, so both user growth and sustained engagement matter, but they do not always move in the same direction.
Problem
You are a product manager supporting the Facebook app. Leadership is debating whether the next 2 quarters should prioritize engagement optimization (e.g., improving Feed relevance, session depth, meaningful interactions) or growth optimization (e.g., acquisition, reactivation, onboarding, invite loops) for a key market where daily active users are growing only 1% quarter-over-quarter while time spent per daily active user has declined 6% over the last 2 quarters.
Analysis shows a tension in the data:
- New user sign-up conversion improved from 42% to 47% after onboarding simplification
- 30-day retention for new users fell from 31% to 26%
- Existing users who interact with Groups and Reels have 18% higher weekly retention than Feed-only users
- Notifications drive reactivation, but aggressive notification volume has increased negative feedback and opt-outs
Leadership wants a recommendation on whether Facebook should optimize first for engagement or growth, and how to make that decision in a way that reflects user value rather than short-term metric gaming.
Deliverables
- Define the decision framework you would use to choose between engagement and growth for Facebook in this scenario.
- Identify the most important user segments and their core needs.
- Recommend which goal you would prioritize first, and explain the trade-offs.
- Propose 2-3 product bets on Facebook that align with your recommendation.
- Define success criteria and guardrails that would tell you the strategy is working.
Constraints
- You have one half-year planning cycle to show measurable impact.
- Engineering capacity is limited to one major cross-functional initiative and two smaller optimizations.
- You cannot materially increase notification volume or degrade user trust/safety.
- Any recommendation must work across both mature and developing markets, even if the emphasis differs by segment.
