I went straight to engagement metrics and kind of forgot to ask clarifying questions first, which I regret.
Start by clarifying the VR feature's goal and the company's objectives, then define success metrics across the user journey—from adoption to engagement to retention—and finally prioritize a north-star metric with supporting guardrails. Emphasize how you'd validate metrics with experiments and iterate based on data.
Pro tip: Tie your metrics to Google's mission of organizing information and making it universally accessible, and mention how VR success might be measured differently in early adoption phases versus mature phases.
Ask questions to understand what the VR feature does, its target users, and how it aligns with Google's strategic objectives. This ensures metrics are relevant and actionable.
Break down the user experience into stages: awareness, acquisition, activation, engagement, retention, and referral. Identify potential metrics at each stage specific to VR.
Choose one primary metric that best captures the feature's value (e.g., daily active users, session length, or task completion rate) and 2-3 secondary metrics to monitor trade-offs.
Identify metrics that ensure the feature doesn't harm the overall ecosystem, such as user comfort, performance, or negative feedback rates.
Outline how you'll collect data (e.g., A/B tests, surveys, telemetry), set targets, and use insights to iterate on the feature.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.