Product design question

How will you go about designing search for an e-commerce app?

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 core search-experience design, query understanding and relevance, in a shopping-intent context rather than general web search.

Clarify intent types: exact product names, broad category terms, and vague descriptive queries like cheap running shoes for wide feet.
Design query understanding with typo tolerance, synonym and attribute extraction, brand, size and color from free text, and autocomplete on popular queries.
Design ranking that blends relevance with business signals, in-stock status, ratings and transparent sponsored placement, with prominent filters.
Handle zero-result queries with fallback to related category suggestions instead of a dead end.
Define success as search-to-click-through rate, search-to-purchase conversion, and zero-result-query rate.

Distinguishes ecommerce search from generic search by naming attribute extraction and purchase-intent ranking signals.
Explicitly designs for the zero-result-query failure case, a common real pain point in shopping search.
Names stock and price as ranking inputs, which generic web search wouldn't need.

Describing generic search relevance like a web search engine without shopping-specific signals like stock and price.
Ignoring the zero-result case entirely.

How would you balance sponsored placements against organic relevance in ranking?
How would you handle search personalization for a returning shopper?