You know the drill. Someone asks for a quick read on a county and you end up pulling employment series, checking recent momentum, and trying to map it to demand for office, industrial, retail, and multifamily. By the time you have something usable, the meeting is over. The problem is not the analysis. It is putting it all together. Data lives in different places, cuts do not line up, and there is no common yardstick to compare one county with another. Research ~5 min to run Generate County Labor Market Report Vic prompt Use Vic to generate a county labor market report for a specified county or list of counties, including employment levels, momentum, resilience, and property type demand with national percentiles. Purpose The report supplies the employment context needed for investment memos and market screening. It replaces roughly 90 minutes of manual data gathering with a 5 minute process. Inputs Request Required Output Format Optional Outputs A labor market report delivered in chat or as a Word file. For one county it includes a full dashboard with top growing and declining industries; for multiple counties it returns a ranked table or direct comparison. Time saved Replaces roughly 90 minutes of manual data gathering with a 5 minute process. How it works You send Vic a simple request with the county or counties you care about and, if you want, the output format. The run line is: "Use Vic to generate a county labor market report for a specified county or list of counties, including employment levels, momentum, resilience, and property type demand with national percentiles." For a single county, Vic returns a full dashboard in chat or as a Word file. It covers total employment, recent momentum, and resilience, all set against national percentiles so you can see where the county lands on a common scale. It also flags the fastest growing and declining industries, which is where quick takes often break when done by hand. If you pass multiple counties, Vic switches modes. You get a ranked table for screening or a direct side by side comparison. The same percentile frame carries through, so you can compare like for like without reworking the data. The property type angle is built in. The report links employment signals to demand for major property types. That gives you a fast bridge from labor data to what it means for space. Most teams do this informally in a memo. Here it shows up the same way every time. What you get back is ready to drop into an investment memo or a broker opinion. The Word output uses a clean style so you are not fixing formatting before sending it out. If you stay in chat, the structure still pastes cleanly into a deck. A quick note on percentiles. This is the right lens for screening. Raw growth rates can mislead when the base is small or when cycles are out of sync across regions. Percentiles anchor each metric to a national distribution and keep comparisons honest. Use this when you are narrowing a list of targets, sanity checking a submarket story, or answering a client question on the fly. It will not replace deep local knowledge, and it does not try to. It gets you to a defensible first view in minutes, with the pieces you would have assembled anyway, minus the scavenger hunt. The payoff is simple. You spend time on the call and the conclusion, not on collecting and normalizing inputs. That is a good trade.