Choosing a product to build from unlimited global location data, privacy set aside

Suppose you could use every kind of location data that exists anywhere in the world, and privacy was not a constraint. What product would you build, and why? ```hint Choose the problem before the data Unlimited data makes almost anything possible, so the hard part is choosing. Look for a costly problem that persists mainly because nobody knows where people or things are right now. ``` ### Clarifying Questions - Does "all location data" include live, individual positions of people and vehicles, or only places, maps and historical movement patterns? - Should the product build on Google's existing businesses such as Maps, or can it be a new standalone business? - Is the aim the largest business opportunity, or the largest benefit to people even if revenue is modest? - Does setting privacy aside also remove consent and security obligations, or only limits on what data can be collected and combined? ### What a Strong Answer Covers - A goal and selection criteria stated before choosing, with a few candidate ideas compared against them - A chosen user and problem that genuinely needs location data at this scale, rather than one that today's data already solves - A concrete product: what it does, which data it fuses, how each user experiences it, and the first version to ship - How success is measured and how the product creates value or revenue for Google - Risks that remain even with privacy set aside, such as misuse, data gaps and trust, and how the design limits them ### Follow-up Questions - Privacy rules come back tomorrow. Which parts of your product survive with aggregated or anonymized data, and which do not? - How could a bad actor misuse your product, and what would you build to stop it? - What is the smallest version you could ship first to test the riskiest assumption?