Strategy question

Imagine we have come up with a mood API which enables real time access to anybody's mood. What should we do with it?

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

Whether you can reason about a powerful, ethically sensitive capability by weighing use cases against real privacy and harm risks.

Clarify the capability's boundaries: how mood is detected, consented to, and how accurate and reliable the signal actually is.
Brainstorm legitimate use cases: mental health check-ins, customer support routing, or content personalization based on mood.
Weigh each against privacy and harm risk, since mood data is deeply sensitive and easily misused for manipulation or discrimination.
Prioritize an opt-in, user-controlled use case, like a personal wellness check-in tool, over ad targeting or covert monitoring.
Address consent and data handling explicitly: the data should be processed on-device or deleted quickly, not stored or sold.
Define success metrics tied to user benefit, like reported wellness improvement, with a guardrail on any use for manipulation, like emotionally-targeted ads.

Explicitly rules out risky uses, like ad targeting or covert monitoring, rather than treating the API as neutral.
Proposes an opt-in, user-benefiting use case, wellness check-ins, as the priority instead of the most profitable option.
Addresses data handling concretely, on-device processing or fast deletion, showing privacy is designed in, not bolted on.
Names a guardrail explicitly against manipulative use, showing awareness that a mood API is uniquely prone to misuse.

Jumping straight to monetization use cases like targeted ads without weighing the ethical risk first.
Treating the technology as ethically neutral and skipping privacy and consent design entirely.

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