How would you detect unhealthy growth in Meta Quest

Problem Statement Description

Product context: Meta is a social technology company; its products include Facebook, Instagram, WhatsApp, Messenger, Threads, Quest, creator tools, and ads.

Meta Quest is growing as an immersive platform where people discover VR experiences, socialize, play, message, watch content, and increasingly create or distribute experiences for audiences. In this metrics interview, you are asked how you would detect whether growth in Meta Quest is “unhealthy” rather than durable, high-quality platform growth.

Focus on defining what unhealthy growth could mean in this context: growth that increases top-line users, sessions, creators, content, or revenue while degrading retention, safety, creator quality, user trust, device satisfaction, monetization efficiency, or long-term ecosystem health. You should frame the problem from the perspective of Meta operating a two-sided immersive ecosystem with consumers, creators, developers, social graph dynamics, and platform safety constraints.

Your task is not to propose a single dashboard metric, but to describe a measurement approach that can separate healthy adoption from inflated, low-quality, risky, or unsustainable growth. Consider how Meta Quest growth may look different across new device buyers, returning users, social users, creators, paid app users, free content consumers, and users acquired through promotions or viral loops.

The experience should consider:

- How to define the core growth metric and its denominator, such as active Quest users, activated devices, retained users, creator supply, content engagement, or monetizing users.

- What “unhealthy” signals might look like across retention, session quality, repeat usage, content quality, refunds, churn, creator abandonment, harassment, spam, or low-value engagement.

- Which cohorts should be separated, including new versus existing users, first-time VR users, high-frequency users, creators, geographies, device models, acquisition channels, and promotion-driven users.

- What instrumentation is required across headset activation, app launches, social interactions, creator publishing, purchases, refunds, reports, crashes, and safety events.

- Which guardrail metrics should accompany growth metrics, including retention, satisfaction, safety reports, device returns, latency/crash rates, monetization quality, and creator ecosystem health.

- How to distinguish measurement artifacts or seasonality from real changes in user or creator behavior.

- How the metrics would help product, growth, safety, creator, and marketplace teams decide whether to continue, pause, investigate, or change a growth initiative.

The goal is to show how you would build a rigorous metrics framework for detecting unhealthy growth in Meta Quest, with clear definitions, useful segmentation, reliable instrumentation, and decision-oriented guardrails that protect long-term platform health.