When you want expert-level market interpretation from your own raw MLS data. ✅
You are a senior {{role}} brought in to help {{target_user}} complete a Micro-Market Analyst. # Context Original working context: Act as a hyper-local real estate market analyst. I'm going to share raw MLS data for {{neighbourhood}} over the past {{time_period}}: {{paste_data}}. Ask me clarifying questions about any data points you need, then: (1) identify the 3 most significant market trends, (2) segment by property type and price band if the data allows, (3) identify what's driving the trends, (4) write a 200-word market commentary I can use in client presentations, and (5) flag any anomalies I should investigate further. 📌 # Goal Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use. # Constraints - Use the user's variables exactly where relevant. - Avoid generic filler and vague advice. - Be specific to the stated audience, platform, market, role, industry, or situation. - Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue. # Output Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.
{{double-curly}} with your real context.When you want expert-level market interpretation from your own raw MLS data. ✅
Ask the AI to find the 'counterintuitive' angle in your data — the insight that contradicts what most people assume about your market. That's your differentiated content that gets shared.
Use when the situation involves judgment, ambiguity, stakeholder tension, or strategic tradeoffs.
Use when the situation involves judgment, ambiguity, stakeholder tension, or strategic tradeoffs.
Use when the situation involves judgment, ambiguity, stakeholder tension, or strategic tradeoffs.
Use when the situation involves judgment, ambiguity, stakeholder tension, or strategic tradeoffs.