Product design question

How would you improve Google Earth?

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 product improvement thinking on a mature, low growth product: finding a specific, impactful gap rather than generic polish.

Identify Google Earth's current core users: educators, researchers, and casual explorers, distinct from Google Maps' navigation focused users.
Pick one specific weak spot, for example outdated 3D imagery in many regions or a clunky historical imagery timeline.
Propose a targeted improvement, such as crowd sourced or satellite refreshed imagery prioritized by user demand signals.
Justify why this improvement matters to the core education or research use case, not just visual polish.
Define success: session time or return visits among the education segment.
State the assumption behind which user segment you are optimizing for.

Picks a concrete, specific gap, stale 3D imagery in many non major cities, rather than a vague call to improve visuals.
Proposes prioritizing imagery refresh by a demand signal, such as search volume for a location, to focus limited imagery budget.
Suggests strengthening the education use case with better lesson plan integration, since teachers are a loyal, differentiated user base.
Gives an illustrative metric, for example increased weekly active educators or improved imagery freshness score in high demand areas.

Proposing generic UI polish without naming a specific, high impact gap in the product.
Ignoring that Google Earth's core audience differs meaningfully from Google Maps' navigation users.

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