Product design question

With the rise of AI-powered assistants, how would you improve Google Assistant to stay competitive?

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 improvement thinking under competitive pressure, weighing where to invest against Siri and Alexa and newer chat assistants.

Clarify the competitive threat: conversational chat assistants that hold context across turns, unlike Assistant's mostly single-shot commands.
List current weaknesses: shallow follow-up handling, limited personalization, weak third party skill ecosystem compared to Alexa.
Segment users: smart speaker households doing routines, phone users doing quick queries, and car users doing hands free tasks.
Prioritize multi-turn conversation memory as the highest leverage fix since it is the core gap versus chat assistants.
Propose a second bet: deeper device and app actions, like drafting a text or booking a ride, not just answering questions.
Define success as follow-up query completion rate and daily active use per device.

Names the specific gap, multi-turn memory and follow-up handling, instead of a vague 'make it smarter'.
Separates the smart speaker use case from the phone use case since improvements do not transfer equally.
Proposes an assumption-marked target, like doubling follow-up query success rate within two quarters.
Weighs build versus partner, noting Google could integrate its own large language model rather than building conversation memory from scratch.

Treating Assistant as one product when speaker, phone, and car contexts differ sharply.
Proposing a feature list without picking what actually closes the gap to competitors.

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