Product design question

How would you improve Waze as a PM?

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

Product sense focused on a specific, high-frequency pain point in a navigation app.

Pick a specific user segment, like daily commuters who rely on Waze for real-time traffic and hazard alerts.
Identify a concrete pain point: crowdsourced hazard reports (police, accidents) can be stale or unreliable in low-traffic areas.
Prioritize improving report freshness and confidence scoring over adding new social features.
Propose a solution: weight reports by recency and reporter density, and show a confidence indicator so users can judge reliability.
Define success metrics: reduction in false-alert complaints and increase in route deviation based on alerts (a sign users trust them).

Names a specific, real Waze weakness, stale crowdsourced reports in low-density areas, not a generic 'add more features.'
Proposes a concrete mechanism, confidence scoring based on recency and reporter count, that's technically implementable.
Gives an illustrative metric, e.g. cutting stale-alert complaints by 25%, marked as an assumption.
Considers the trade-off of adding visual complexity (confidence indicators) to an already busy map interface.

Proposing unrelated features like social sharing instead of addressing core reliability.
Ignoring that Waze's core value is trust in real-time, crowdsourced data.

Chapters of the AI PM course that teach what this question tests.