Start by clarifying the problem scope and constraints, then propose a product that leverages Google's strengths in data, AI, and scale. Focus on a specific user segment and a clear value proposition, and outline how you would measure success and mitigate risks.
Pro tip: Show awareness of the complex ecosystem (regulators, manufacturers, pharmacies, patients) and propose a solution that complements existing efforts rather than duplicating them. Emphasize privacy and security, as counterfeit drugs often involve sensitive health data.
Ask questions to understand the scope: which regions, drug types, and user segments are most affected? What are the current pain points and existing solutions?
Identify primary users (e.g., patients, pharmacists, regulators) and articulate how your product would solve their specific problem better than current alternatives.
Generate a few product ideas that leverage Google's capabilities (e.g., AI, search, cloud, Android) and evaluate them based on impact, feasibility, and alignment with Google's mission.
Choose the most promising idea and describe its key features, how it works, and the technology stack. Explain how it integrates with existing systems.
Outline metrics to measure success (e.g., reduction in counterfeit incidents, user adoption) and discuss potential risks (e.g., privacy, false positives) and mitigation strategies.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.