Metrics question

As a Product Manager for Fitbit, what would be a metric you would care about and why? How will you implement a feature to improve that metric?

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Tests metrics thinking for a wearable device: choosing a meaningful metric and connecting it directly to a shipped feature.

Consider candidate metrics: daily active wear rate, since a fitness tracker only delivers value when actually worn consistently.
Justify why wear rate matters more than raw downloads or account creation for a hardware dependent health product.
Identify what drives low wear rate, such as uncomfortable design, battery anxiety, or lack of daily motivating content.
Propose a feature to improve it, such as personalized daily goals or social challenges that create a habit loop.
Define the metric more precisely: percentage of active users wearing the device at least 20 hours per day.
State the guardrail, ensuring the feature does not just spike short term engagement without lasting habit formation.

Picks daily wear rate as the core metric, since Fitbit's entire value proposition depends on continuous wear, not just app opens or downloads.
Explains the mechanism clearly, low wear rate often stems from lost motivation after the initial novelty fades, not just comfort or battery issues.
Proposes a specific feature, adaptive daily goals that adjust to the user's recent activity trend, keeping goals achievable and motivating over time.
Sets a measurable target, for example a stated increase in 90 day wear retention after introducing adaptive goals, as the guardrail against short term spikes.

Choosing a vanity metric like total downloads instead of a metric tied to the device's core value, continuous wear.
Proposing a feature without explaining the underlying behavioral driver of low engagement it is meant to fix.

How would you distinguish a novelty driven engagement spike from lasting habit formation?
What would you do for users whose wear rate declines after the first month?