Product design question
Design an AI-based application in a store that would help customers check out clothes and try them on.
- Salesforce
- Product design
- Medium
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What this question tests
Product design for an AI-enabled retail experience, checking whether you can scope the AI's actual job and tie it to a measurable retail outcome like conversion or return rate.
How to approach it
- Define the user: an in-store shopper deciding between multiple items or sizes without wanting to physically try on everything.
- Identify the core pain point: trying on many items is slow and often discourages purchase, especially during busy hours.
- Scope the AI's job precisely: virtual try-on using computer vision to overlay clothing on the shopper's body via an in-store mirror or kiosk camera.
- Prioritize accuracy of fit representation over speed, since a shopper who feels misled by a bad virtual preview will distrust the tool entirely.
- Design the flow: shopper selects an item, the AI overlays it in near real time, shows size recommendations based on body measurements, and lets them save favorites to try physically.
- Define success as increased items tried per visit, reduced return rate from ill-fitting purchases, and conversion rate from virtual try-on to purchase.
What a strong answer includes
- Scopes the AI narrowly to visual try-on and sizing, not vague 'AI-powered shopping assistant' language.
- Names accuracy of fit as the trust-critical factor, since Salesforce's retail customers care about return rate reduction specifically.
- Ties success to return rate, a metric retail businesses directly care about, not just engagement with the tool.
Common mistakes
- Describing the AI vaguely as a 'smart assistant' without specifying what it actually does technically.
- Ignoring return rate, the metric that most directly justifies this investment to a retail business.
Likely follow-up questions
- How would you handle items the AI can't accurately render, like textured fabrics?
- How would you validate the AI's sizing recommendations before trusting them?
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More questions from Salesforce
Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 7: AI UX and human oversight: design for a system that is wrong sometimes
- Chapter 14: Get the job: the AI PM interview loop