Ideate an AI-Powered Product and Develop the Strongest Concept Into a First Version
Company: Anthropic
Role: Product Manager
Category: Product Design & Strategy
Difficulty: medium
Interview Round: Other
Come up with a product idea that relies on AI. Brainstorm a few directions, choose the one you would pursue, and shape it into a product you could pitch.
```hint Start from a painful job
Before naming features, look for a frequent, frustrating task that people handle badly today, where current models are already good enough and where a model's occasional mistake can be caught before it does harm.
```
### Clarifying Questions
- Should AI be the core of the product's value, or am I expected to use an AI assistant as my brainstorming partner during the exercise?
- Should the idea be something the interviewing company could build on its own models, or is any product or startup fair game?
- Is there a segment you want me to stay in, such as consumers, developers or businesses?
- How deep should I go: a ranked list of ideas, or one idea carried through users, first version, metrics and risks?
### What a Strong Answer Covers
- A brainstorm that starts from user problems and an honest view of what current models do well and badly, not from the technology alone.
- Explicit criteria for choosing among ideas, such as the size and frequency of the pain, model readiness, the cost of a model error, and differentiation from general-purpose assistants.
- A concrete first version of the chosen idea: target user, core flow, and the split between what the model does and what the user or a human expert does.
- Success metrics with guardrails that show the product is useful and that its errors stay contained.
- Risks specific to an AI product, such as fabricated output, privacy, misuse and being absorbed by general assistants.
### Follow-up Questions
- A general-purpose chat assistant can already do a rough version of your idea. Why would someone switch to your product?
- What would go into your pre-launch evaluation set, and which kind of failure would block the launch?
- How would your roadmap change if the next model generation made your core feature a built-in capability of every assistant?
Overview: A product sense prompt asking a product manager candidate to brainstorm product ideas built on AI, choose the strongest one, and develop it into a first version. It tests problem-first ideation, judging where current models are reliable, scoping around the cost of model errors, and defining success metrics and risks.