Begin with the goal: "I start by asking what problem the feature solves, then define metrics that ladder up to that outcome." Structure your answer: 1) North Star metric (e.g., retention), 2) leading indicators (e.g., adoption rate), 3) guardrails (e.g., support tickets). Common mistake: listing vanity metrics like DAU without explaining why they matter. Stronger framing: "Metrics aren’t just numbers; they’re a story about whether the feature is working."

Related FAQs

How do you balance quantitative and qualitative data for new features? Use quantitative data to spot trends and qualitative feedback to explain the "why" behind them.

What if the feature doesn’t move the metrics you expected

What if the feature doesn’t move the metrics you expected? Dig into user behavior, iterate, and communicate transparently with stakeholders.

How do you set realistic targets for a new feature? Benchmark against similar features or run small-scale tests to calibrate expectations.