Meta·Product Manager·Onsite - Product Sense / Strategy·Senior

Senior

May 2026

Summary

PM interview at Meta, one question about Horizon Worlds. Pretty open-ended product strategy case with no obvious right answer, which made it harder than it sounds.

Questions Asked (1)

You're the PM for Horizon Worlds. What goals and metrics would you define for it?

Product Analytics & MetricsProduct StrategyProduct Sense & Ideation

Author's notes

I spent probably too long trying to frame the 'right' goal before picking metrics, which I think hurt me.

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AI HintsAI Generated

Suggested Approach

Start by clarifying Horizon Worlds' mission and target audience, then define goals that ladder up to Meta's strategic priorities (e.g., building the metaverse, driving engagement, and monetization). Structure your answer around a balanced set of goals—user growth, engagement, creator ecosystem, and monetization—and for each, propose specific metrics with rationale, noting trade-offs and potential counter-metrics.

Pro tip: Show you understand the unique challenges of a social VR platform by emphasizing metrics that capture network effects and content ecosystem health, not just DAU/MAU. Also, acknowledge that early-stage products may prioritize learning and iteration over short-term revenue.

1. Clarify Vision and Audience

Restate the product vision and primary user segments (e.g., socializers, creators, explorers) to ground your goals in user needs and business strategy.

2. Define High-Level Goals

Outline 3-4 strategic goals such as user acquisition, engagement, creator growth, and monetization, ensuring they align with Meta's metaverse ambitions.

3. Select Metrics per Goal

For each goal, propose 1-2 specific metrics (e.g., DAU, time spent, creator retention, virtual goods revenue) and explain why they matter.

4. Address Trade-offs and Counter-Metrics

Discuss potential negative consequences (e.g., focusing on time spent might harm user well-being) and suggest counter-metrics to monitor.

5. Prioritize and Iterate

Recommend which metrics to prioritize initially and how they might evolve as the product matures, showing flexibility and data-driven thinking.

Key Points to Mention

North Star Metric: e.g., Weekly Active Users (WAU) or Time Spent in-World, tied to engagement and retention.
Creator Ecosystem Health: metrics like number of active creators, content creation rate, and creator retention.
Network Effects: metrics that capture social interactions, such as friends per user, multiplayer session frequency, and virality.
Monetization: virtual goods revenue, conversion rate to paid items, and average revenue per user (ARPU).
Safety and Well-being: counter-metrics like reports per 1,000 users or user sentiment to ensure a healthy environment.
Learning Metrics: for early-stage, metrics like feature adoption or experiment velocity to drive iteration.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.