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🏡 Property Comps Research Spreadsheet
A sample of my real estate research and data organization workflow using Virginia single-family properties. I research comparable properties, organize key property details, calculate price-per-square-foot, review listing status and days on market, and summarize the data into a clear CMA-style analysis.
What’s included:
Property & listing research
Comparable property analysis
Price & $/Sq Ft comparison
Property details and adjustments
CMA summary & suggested value range
Research sources and notes
Clean, organized, client-ready spreadsheet
This type of research helps real estate investors, agents, property managers, and acquisition teams quickly evaluate properties and make informed pricing decisions.
Need reliable property research and well-organized comps? I can research your target market, identify relevant comparable properties, verify the data, and turn the findings into a clean spreadsheet you can use for your next property decision. Let’s connect and build a property research system that saves you time and gives you clearer numbers.
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Designed an AI research workspace where the agent plans the work and fills a sheet with cited sources as it goes.
Same screen, two modes. Which one would you work in all day? đź‘€
13 voted
72%
5 voted
28%
18 votes
Closed
Keeping the research plan and cited results side by side is a useful way to make the agent’s work easier to inspect. I’d lean toward light mode for reading the table in daylight. How do you distinguish a verified source from one that still needs review?
Most spreadsheet errors don’t come from bad formulas. They come from bad entries.
One person types “N/A”, another leaves the cell blank, a third writes “n/a “ with a trailing space. A date arrives as text. A region shows up as “North”, “north”, and “Norte”. Every formula downstream is correct, and the totals are still wrong.
Cleaning that up afterward works, but it’s the expensive way. It’s cheaper to stop the bad entry from getting in:
-- Use dropdown lists (Data Validation) for any field with a fixed set of values
-- Restrict date and number columns to valid formats
-- Add a short input message that explains what the cell expects
-- Keep a separate “lists” sheet so the allowed values live in one place
The goal isn’t to lock people out. It’s to make the right entry the easy one.
A spreadsheet that’s hard to fill in wrong rarely needs a cleanup project later.
Which field in your own reports causes the most cleanup work?
Collected and organized contact details of 35 real estate companies in dhaka using web research and Microsoft Excel. Cleaned data, checked duplicates, and applied professional formatting.
