ai tools

A new term for a new skill. The interviewer wants a definition, a sensible use for PMs, and an honest view of where AI-built prototypes stop being trustworthy.

AI can cluster thousands of comments in minutes, and it can also invent themes, flatten detail and overweight loud voices. The interviewer wants speed with traceability back to real quotes.

Synthetic personas are cheap and fast, and they tell you what a model thinks people might say. The interviewer wants a clear line between useful applications and evidence they cannot provide.

Real data makes prototypes honest; careless handling makes them incidents. The interviewer wants a path that gets realistic evidence without leaking customer data into unapproved tools.

AI can speed up the writing of a product spec. The interviewer wants to know which parts benefit from a draft and which decisions must stay with the PM.

A practical question about the PM toolkit. The interviewer wants tool categories matched to the question you're trying to answer, not brand loyalty.

A leadership question about changing how a team works. The answer needs skills, tools, safe data, rituals and incentives, plus guardrails so prototypes do not turn into unreviewed production code.