Estimating Monthly Job Seekers Who Rely on Google Search

Estimate how many people use Google Search when they are looking for a new job. State the scope you choose and walk through your assumptions. ```hint Fix the scope before multiplying Choose a geography and a time window, decide what counts as using Search to find a job, and split job seekers into groups whose search habits differ. ``` ### Clarifying Questions - Should I size one country or the whole world? If one country, which? - Over what window: people who do this in a typical month, or at any point during a year? - Does any job-related search count (listings, an employer's careers page), and does the person need to actually land a job? - If someone searches Google only to reach a job site by name and then searches inside that site, do they count? ### What a Strong Answer Covers - A clear scope: geography, time window and what counts as a qualifying search - A simple equation with job seekers split into segments whose behavior differs - Every input labeled as an assumption with round numbers, and the arithmetic shown step by step - No double counting between segments, and a sanity check against an independent number - A range around the point estimate and the input it is most sensitive to ### Follow-up Questions - How would your estimate change for India, where a much larger share of work is informal or agricultural? - How could Google measure this number from its own data instead of estimating it? - If Google wanted to grow this number, which segment would you target first, and why?