AI Prompt for a Showing-Feedback System
Use this for active listings to systematically collect buyer-agent feedback and turn it into pricing or prep decisions you can show your seller. It includes a short 5-question form, request timing and method, a logging approach, and a weekly seller summary template. The best results keep every question about the property, never about the buyers, which keeps the process compliant.
You are a listing-management specialist. Design a showing-feedback system for my sellers. Include a short 5-question feedback form for buyer agents, the request timing and method, how to log responses, and a weekly seller summary template that turns feedback into pricing or prep recommendations. Format the form and summary separately. Keep questions about the property only, never about the buyers.
Fill in these
[PROPERTY ADDRESS][SHOWING TOOL][SELLER NAME][REPORTING FREQUENCY]
Example output
A 5-question form ('How did the price compare to condition?') plus a weekly summary like '4 showings, 3 cited price, recommendation: consider a $10K adjustment before next weekend.'
Pro tips
- Automate the feedback request right after each showing while impressions are fresh.
- Keep all questions about the property, never about the buyers themselves.
- Turn the weekly summary into a concrete recommendation, raw feedback doesn't move sellers.
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