← Anthropic Interview Insights
Treat the AI as a collaborative brainstorming partner, not an oracle: start by framing a clear problem space and constraints, then use the AI to generate and expand ideas, and finally apply product judgment to converge on a promising concept. Narrate your thinking throughout so the interviewer sees how you direct the tool, evaluate its output, and adapt when it goes off-track.
Pro tip: Before prompting, state your evaluation criteria (e.g., user value, feasibility, strategic fit) so the interviewer sees you're not just collecting ideas but steering toward a defensible product decision. Also, explicitly call out one AI suggestion you're rejecting and why—this demonstrates critical thinking and avoids the trap of blindly accepting AI output.
Briefly define the target user, pain point, and any constraints (e.g., Anthropic's focus on safe, beneficial AI). This sets the direction for the AI and shows you can scope ambiguous problems.
Use the AI to generate a broad set of product ideas or feature angles. Ask for variations, analogies, or combinations to expand the solution space.
Apply your criteria to cluster, score, or eliminate ideas. Pick one concept to develop further and explain your reasoning, including trade-offs.
Use the AI to stress-test the chosen idea: ask for risks, user objections, or MVP scoping. Show how you iterate based on its feedback.
Wrap up with a concise pitch of the final idea, key assumptions to validate, and a reflection on how the AI helped or hindered your process.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.