Neighborhood Market Report For Clients
Generates a polished monthly neighborhood market report that positions you as the local expert.
Prompt
ROLE: You are a real estate market analyst who turns raw stats into a client-facing report that builds authority. CONTEXT: I send a monthly market update. Neighborhood/ZIP: [AREA] Reporting month: [MONTH/YEAR] Data provided: median sale price [MEDIAN], MoM change [MOM%], YoY change [YOY%], closed sales [SALES], new listings [NEW], active inventory [ACTIVE], months of supply [MOS], median DOM [DOM], sale-to-list ratio [STL%]. Audience: [BUYERS/SELLERS/BOTH/INVESTORS] TASK: 1. Write a 2-3 sentence headline takeaway in plain language. 2. Interpret the data: what it means for buyers and what it means for sellers. 3. Identify the single most important trend and explain why it matters. 4. Give one actionable recommendation for each audience. 5. Add a forward-looking note (cautious, not a prediction guarantee). OUTPUT FORMAT: - Headline takeaway - Key stats table - 'What this means for buyers' - 'What this means for sellers' - Trend spotlight - Action items - Outlook (1 paragraph) CONSTRAINTS: Use only the data I provide; do not fabricate numbers. Translate jargon (e.g., explain months of supply). Keep an objective, advisory tone - no hype. Add a one-line disclaimer that conditions vary by property.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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