I blanked for a second because I kept thinking about software metrics and had to mentally shift gears.
Start by clarifying the robot's purpose and context at Meta, then define a metric framework that balances user value, business goals, and technical performance. Structure your answer around a hierarchy of metrics—from high-level goals to granular diagnostics—and emphasize iteration and learning.
Pro tip: Tie every metric to a specific decision or action it would inform; avoid vanity metrics and show you understand trade-offs between short-term engagement and long-term user trust.
Ask clarifying questions to understand what the robot does, who it serves, and how it fits into Meta's ecosystem (e.g., home assistant, AR/VR, customer service). This ensures your metrics are relevant.
Identify the overarching goal (e.g., user engagement, task success, safety) and propose a North Star metric that captures the core value the robot delivers.
Organize metrics into categories such as user engagement, task performance, technical reliability, safety, and business impact. This provides a comprehensive view.
Choose a few key metrics per category that are actionable, measurable, and aligned with goals. Explain why they matter and how they would be tracked.
Identify guardrail metrics to prevent negative outcomes (e.g., safety incidents, user frustration). Describe how you would use these metrics to iterate on the product.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.