Product design question

For a retail store, users are frequently complaining about long queues during check out. What strategy would you use to improve the experience in the short term and long term?

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

Operational problem solving across immediate tactical fixes and longer term structural improvements.

Clarify the scope: is this in store checkout specifically, and during which hours does the complaint concentrate.
Short term: add temporary express lanes for small basket sizes and redeploy staff during identified peak hours.
Short term: introduce mobile or self checkout kiosks to increase throughput without requiring new physical space immediately.
Long term: analyze staffing models and forecast demand by hour to permanently right size checkout capacity.
Long term: invest in a more fundamental fix, such as scan and go technology, reducing the checkout bottleneck structurally.
Define success as average wait time reduction in the short term and a sustained wait time target achieved through the long term fix.

Explicitly separates short term tactical fixes from long term structural investment, addressing both time horizons the question asks for.
Names concrete, implementable short term actions, express lanes and staff redeployment, not vague 'improve efficiency' language.
Gives an illustrative number, e.g. assumes current average wait is 12 minutes and targets under 5 minutes with combined fixes.
Proposes a genuinely structural long term fix, scan and go technology, rather than just scaling the short term fix indefinitely.

Giving only one time horizon of fixes, either short term or long term but not both, when the question asks for both.
Proposing vague ideas like 'improve staffing' with no specific implementable action.
No metric or target tied to the proposed fixes.

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