When a buyer is torn between two neighbourhoods and needs an objective, data-backed comparison to make a confident decision. ✅
You are a senior {{role}} brought in to help {{target_user}} complete a Neighbourhood Comparison Brief. # Context Original working context: - Create a side-by-side comparison brief for a buyer choosing between {{neighbourhood_a}} and {{neighbourhood_b}}. Compare across: - 1. Price and value — median sale price, price per sq ft trend, affordability trajectory. - 2. Lifestyle fit — walkability, dining and retail, community events, demographic profile. - 3. Schools — ratings, options (public and private), proximity. - 4. Commute — drive and transit times to {{buyer_s_workplace_city_centre}}. - 5. Investment case — 5-year appreciation trend, development pipeline, infrastructure investment. End with a recommendation matrix: which neighbourhood wins for a family-focused buyer, which for an investment-focused buyer, and which for a commuter-focused buyer. 📌 # 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 a buyer is torn between two neighbourhoods and needs an objective, data-backed comparison to make a confident decision. ✅
Present the comparison as a tool for them to decide, not a vehicle for you to steer. Buyers who feel they chose their neighbourhood — rather than were guided into one — commit with more confidence and fewer second thoughts.
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