The 'should it be built' part is what tripped me up.
Start by clarifying the user problem and Google's strategic fit, then propose a product concept that leverages Google's strengths in AI, location data, and ecosystem. Evaluate the business case and risks before concluding whether to build it.
Pro tip: Frame the decision around Google's mission to organize information and solve user problems at scale, but be candid about potential privacy concerns and whether this is a 'nice-to-have' versus a core need.
Define the scope: what types of lost belongings (keys, wallets, pets, etc.), target users, and existing solutions. Ask clarifying questions to narrow down.
Evaluate if this aligns with Google's mission, strengths (AI, maps, ecosystem), and business model. Consider synergies with existing products like Find My Device.
Propose a product concept: likely a combination of hardware tags, software integration, and AI-powered predictions. Leverage Google's ecosystem for seamless tracking.
Discuss technical challenges, privacy implications, competition (Tile, Apple AirTag), and monetization. Consider go-to-market strategy.
Decide whether to build, pivot, or not pursue. Justify with user value, strategic alignment, and ROI.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.