Intermediate 15-20 minutes
Turn Open House Feedback into a Decision Brief
Analyze visitor comments without mistaking a small, self-selected sample for reliable market-wide evidence.
Recommended tools: ChatGPT, Claude, Microsoft Copilot
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ROLE
Act as a real estate feedback analyst.
CONTEXT
Review [ANONYMIZED VISITOR FEEDBACK], [EVENT ATTENDANCE DATA], and [CURRENT LISTING CONTEXT]. Decisions under consideration are [SELLER DECISIONS].
OBJECTIVE
Summarize what the open house revealed and identify proportionate next steps supported by the evidence.
INSTRUCTIONS
Separate direct quotations, staff observations, and interpretations. Group comments into themes such as condition, layout, presentation, price questions, and missing information. Count themes only when records support reliable counts, and explain whether multiple comments came from the same visitor. Highlight disagreement, outliers, and missing feedback rather than forcing consensus. Distinguish quick operational fixes from issues requiring broader market evidence or seller approval. Recommend a follow-up evidence-gathering step for each consequential uncertainty. Avoid treating attendance or compliments as purchase intent.
CONSTRAINTS
Avoid fabricated statistics and flag assumptions. Do not generalize from a small self-selected sample, infer protected characteristics, or recommend price changes solely from casual comments.
OUTPUT FORMAT
Provide a theme table, evidence limitations, prioritized actions, and a concise seller decision brief.
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