Build a CMA Prompt With CRISP-DM
Build a CRISP-DM-aligned prompt for AI-assisted CMA explanation with evidence and caveats.
A seller wants a high list price, and you need AI help explaining seven comps without letting it flatten caveats into confidence. CRISP-DM prompt: business decision -> data understanding -> preparation caveats -> draft analysis -> evaluation -> client deployment. The common trap is asking AI for a seller script before it has separated strong evidence, weak evidence, and caveats. Business decision State the decision: recommend a list-price range and explain what would justify the high end. This prevents the model from wandering into general market commentary. Data understanding Paste comps as structured rows: address label, sale status, price, DOM,…
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