Product design question

How would you design a contactless checkout experience for a store selling groceries and garments?

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 design across a mixed-category retail context, requiring different technical approaches for different product types.

Users: shoppers buying a mix of groceries and garments in one trip, wanting to skip checkout lines entirely.
Pain points: groceries need fast, high volume item recognition, while garments need fitting or size verification which complicates a pure scan-and-go approach.
Prioritize: solve groceries first with computer vision or RFID-based cart detection, since that is the higher-frequency, more standardized use case.
Solution: sensor-fusion cart tracking for groceries, combined with an app-based self-checkout flow for garments where users scan tags before trying on or leaving.
Guardrail: theft prevention and misdetection rate must stay low enough to keep shrinkage and false-charge complaints manageable.
Success metric: average checkout time reduction, and shrinkage rate compared to traditional checkout.

Recognizes the two product categories need different technical solutions rather than forcing one system to handle both.
Proposes a specific mechanism, sensor-fusion or computer vision cart tracking, grounded in how real contactless checkout systems work (common knowledge, e.g. Amazon Go style).
Sets a guardrail on shrinkage and misdetection, a real operational risk for contactless checkout.

Proposing one identical technical solution for both groceries and garments despite very different handling needs.
No mention of theft or shrinkage risk, a core concern for contactless retail.
Vague success metric with no tie to checkout time or loss prevention.

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