North-star and funnel metrics for Google Maps indoor navigation in malls

You are a product manager on Google Maps and are asked how you would measure the success of Maps in shopping malls. Define what success means in that setting and propose the metrics you would track to judge it. ```hint Jobs before metrics Someone near or inside a mall can want very different things from Maps. Pin down the main jobs first, then ask which observable behavior would show that each job got done. ``` ### Clarifying Questions - Does success cover getting people to the mall, helping them find stores, restrooms and exits once inside, or both? - Is a dedicated indoor experience (floor plans, a floor switcher, indoor walking directions) in scope, or do people rely on the standard search and directions? - Is this a health check of the current experience, or input to a decision such as expanding indoor coverage to more malls? - Should the metrics weigh user value only, or also business outcomes such as engagement with mall businesses and local ads? ### What a Strong Answer Covers - The main user jobs in the mall setting and why the experience matters to both users and Google. - A north-star metric tied to a user completing a job, not raw opens or time spent. - A funnel of supporting metrics from search through navigation to arrival, plus repeat use. - Guardrails and indoor-specific measurement problems such as weak GPS, multiple floors and time in the app that rises because people are lost. - How the metrics would be segmented and validated, for example covered versus uncovered malls. ### Follow-up Questions - Indoors, GPS cannot reliably tell you that someone reached a store. How would you measure arrival? - Time spent in Maps inside malls went up after a launch. Is that good news, and how would you find out? - Mall merchants want to pay to have their stores promoted in indoor search. How would you protect the user metrics you defined?