You know the drill. A deal lands on your desk and before you touch the model, you need a clean read on the market. Vacancy trend, rent growth, what delivered, what is coming, and where current rents sit. That usually means jumping between sources, lining up series, and rebuilding the same charts you made last week. The friction is not the thinking. It is the assembly. By the time you have a usable set of charts, an hour is gone and you still have to turn it into something an IC can scan fast. Research ~10 min to run Research 5-Year Market Fundamentals Vic prompt Use Vic to research five-year market fundamentals for industrial space in the Atlanta MSA. Purpose Gives the data needed to assess supply-demand balance and rent trajectories before running pro formas. Cuts the typical 90-minute manual pull to about 10 minutes. Inputs Market Required Property Type Required Investment Type Optional Include Excel Optional Outputs An interactive dashboard with KPI strip, MSA map, history table, vacancy and rent-growth charts, and three IC paragraphs. An Excel version of the year-by-year table is available on request. Time saved Turns roughly 90 minutes of manual work into about 10 minutes. How it works Run the task with one line: Use Vic to research five-year market fundamentals for industrial space in the Atlanta MSA. Provide the market and property type. You can add an investment angle if you want the commentary framed that way, and ask for an Excel export. Vic returns an interactive dashboard for a single MSA and property type over the last five years. At the top is a KPI strip with current vacancy, current market rent, and five year rent CAGR. That is the quick read most teams want first. The dashboard also includes an MSA map, a year by year table, and charts for vacancy and rent growth so you can see direction and swings without rebuilding anything. The output is more than charts. You also get three short paragraphs written from an investment lens that tie the data to underwriting and acquisition. They read like memo language and answer the usual questions. Is supply getting ahead of demand. Are rents still pushing or starting to flatten. What does this do to your base case. The year by year table sits behind the visuals and can be exported to Excel on request. That helps if you want to drop the series into your model, check assumptions, or share a clean tab with a teammate who lives in a workbook. The real win is consistency. The KPI strip, the table, and the charts follow one standard, so you are not reconciling definitions across sources. You get vacancy, market rent, deliveries, and rent growth by year in one place, formatted the same way each time. Comparisons across deals get faster because the presentation does not change. This is built for the moment before a full underwrite. You can screen a market in minutes, decide if demand and rent trends support your thesis, and move on or go deeper. If you move forward, the same outputs drop into your IC materials without a rewrite. There is a broader point. Early stage decisions do not need more data. They need the right slice, put together the same way every time, with a short explanation that ties it to pricing and risk. This task does that. It cuts the repetitive build and leaves you with a clean view you can trust. If you want to tweak numbers, pull the Excel version and adjust. If you just need to answer, "what is happening in this market and does it support this deal," the dashboard and the three paragraphs get you there in about ten minutes.