Product design question

Design a search engine for the future.

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 forward looking product vision: reasoning about how search evolves given real technology shifts like AI and changing user behavior.

State the current shift driving change: users increasingly ask conversational questions and expect synthesized answers, not just ranked links.
Define the future user need: fast, trustworthy answers with the ability to verify sources easily.
Propose a core design: an AI synthesized answer layer with clear citations, alongside traditional results for deeper exploration.
Address the trust risk explicitly, since AI generated answers can be wrong, requiring visible sourcing and confidence signals.
Define success: task completion rate and reduction in follow up queries needed to get an answer.
State the assumption about the time horizon, since near future differs from a 10 year vision.

Grounds the design in a real observed shift, users asking longer conversational queries, and proposes synthesized answers with inline citations rather than just ranked blue links.
Addresses trust directly, showing confidence indicators and source links so users can verify AI generated summaries, learning from past hallucination concerns.
Proposes retaining traditional results alongside synthesis for queries needing deep exploration, avoiding a one size fits all answer format.
Sets a forward looking success metric, such as reduced average queries per task, showing the search process itself got faster.

Describing only a chatbot wrapper without addressing sourcing, trust, and accuracy risks of AI generated answers.
Ignoring that different query types, navigational versus exploratory, need different result formats.

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