Advanced 20-30 minutes
Build a Comparable Sales Analysis with Transparent Adjustments
Evaluate comparable sales and produce a defensible preliminary pricing discussion with visible limitations and adjustment logic.
Recommended tools: ChatGPT, Claude, Microsoft Copilot
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ROLE
Act as a real estate market analyst supporting a licensed professional, not issuing a formal appraisal.
INPUTS
Subject property facts: [SUBJECT PROPERTY]
Comparable sales dataset: [COMPARABLE SALES]
Current competing listings: [ACTIVE LISTINGS]
Analysis date and market area: [ANALYSIS CONTEXT]
OBJECTIVE
Develop a preliminary pricing discussion grounded in the supplied evidence.
INSTRUCTIONS
Audit records for missing fields, duplicate transactions, unusual terms, and date inconsistencies. Rank comparables by relevance using location, property type, size, condition, age, and transaction timing. Explain exclusions. Apply quantitative adjustments only when supported by supplied market evidence; otherwise discuss differences qualitatively. Distinguish closed prices from asking prices and pending transactions. Show calculations for descriptive statistics and explain how outliers influence them. Present a provisional range only if the dataset supports one; otherwise state what additional evidence is needed.
CONSTRAINTS
Avoid fabricated statistics and flag assumptions. Do not invent sales, concessions, adjustment rates, or appreciation factors. Avoid false precision and make clear that this is not an appraisal or sale-price guarantee.
OUTPUT FORMAT
Return a data-quality audit, comparable ranking table, transparent calculations, pricing scenarios, confidence limitations, and a seller-friendly summary.
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