This is the kind of prompt that sounds freeing until you're sitting there with no constraints and no idea where to start.
Choose a problem space that is relevant, sizable, and aligned with Google's mission and strengths, then walk through a structured product design process. Start by framing the problem with user needs and market context, then ideate solutions, prioritize, and define success metrics. Be prepared to justify your choices and adapt based on interviewer feedback.
Pro tip: Anchor your problem in a domain where Google has a competitive advantage (e.g., AI, search, cloud) and explicitly tie your solution to Google's business model and ecosystem. Show that you understand trade-offs and can make data-informed decisions.
Select a relevant, high-impact problem area and articulate why it matters now. Use data or trends to show urgency and size the opportunity.
Describe the target users and their pain points. Validate with personas or scenarios to ensure the problem is real and worth solving.
Generate a few diverse solution ideas, then converge on one that best addresses the need and fits Google's capabilities. Explain your rationale.
Outline key features for an MVP, prioritize based on impact vs. effort, and consider technical feasibility and dependencies.
Propose measurable goals (e.g., user engagement, retention) and discuss potential risks, mitigation, and iteration plan.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.