This is the kind of question where you think you have a good story and then halfway through you realize it's not landing.
Use the STAR method to structure your answer, focusing on how you navigated ambiguity to define metrics, align stakeholders, and validate success. Emphasize your proactive approach to gathering input, iterating on metrics, and using data to drive decisions. Highlight the impact of your work on product direction and business outcomes.
Pro tip: Show how you balanced speed and rigor: start with a simple proxy metric to unblock stakeholders, then refine it as you learn. This demonstrates pragmatism and a test-and-learn mindset, which Meta values.
Briefly describe the situation: the product, the lack of existing metrics, and why it was important to build them. Highlight the ambiguity and the need for stakeholder alignment.
Explain how you gathered requirements from stakeholders, researched industry best practices, and proposed an initial set of metrics. Mention how you prioritized metrics based on business goals.
Describe the process of getting buy-in: workshops, one-on-ones, and iterative feedback. Emphasize how you addressed conflicting priorities and built consensus.
Detail how you built the metrics pipeline, established baselines, and monitored them. Explain how you validated the metrics and iterated based on feedback and data.
Share how you knew the metrics were working: adoption by stakeholders, correlation with business outcomes, and impact on product decisions. Quantify results if possible.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.