I jumped straight into US population and started segmenting by age, which felt right, but then I got tangled up trying to define 'frequently' and wasted like two minutes debating whether that meant weekly or monthly.
Clarify the scope (e.g., geographic region, definition of 'frequently') and then use a top-down estimation approach. Segment the population by age and other relevant factors, apply reasonable frequency assumptions, and calculate the total number of frequent bar visitors.
Pro tip: State your assumptions explicitly and round numbers to make calculations easier. Show that you can iterate and adjust based on new information, demonstrating adaptability.
Ask clarifying questions to define the target population, geographic scope, and what 'frequently' means (e.g., at least once a week).
Break down the total population into relevant segments, such as age groups, considering legal drinking age and typical bar-going demographics.
Estimate the number of people in each segment using known population data or reasonable assumptions (e.g., percentage of population in each age group).
For each segment, estimate the proportion that frequently visits bars and the average frequency of visits, then calculate the number of frequent visitors.
Add up the estimates from all segments to get the total, and sanity-check the result against known benchmarks or logical bounds.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.