Estimation question

Estimate waiting time at the airport. Come up with a moonshot idea to reduce the waiting time.

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

Estimation combined with creative but grounded solution design, testing both analytical and product thinking in one answer.

Break down airport waiting time into components: check-in, security, and gate wait, since each has a different typical duration.
Estimate each: check-in around 10-15 minutes, security around 20-30 minutes at a busy airport, and gate wait around 20-40 minutes.
Sum a reasonable total: roughly 60 to 90 minutes of active waiting for a typical domestic traveler.
Pivot to the moonshot: propose a walk-straight-to-gate biometric system combining pre-cleared identity and security screening done before arrival.
Explain the mechanism: pre-authorized travelers complete verification via an app before leaving for the airport, collapsing check-in and security into one walk-through.
Acknowledge feasibility constraints: requires regulatory buy-in and biometric infrastructure, framing it as a phased program for frequent pre-vetted travelers.

Decomposes the estimate into distinct airport stages instead of guessing one blended wait time.
Grounds the moonshot in real emerging technology, biometric boarding pilots, rather than pure fantasy.
Names a concrete adoption path, starting with frequent pre-vetted travelers, showing realistic phased thinking.
Explicitly acknowledges the regulatory and infrastructure barriers rather than ignoring feasibility.

Giving a single guessed wait-time number with no component breakdown.
Proposing a moonshot idea with no grounding in real, emerging technology or feasibility discussion.
Ignoring regulatory constraints that can't simply be skipped.

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