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AI Growth Academy™PROMPT VAULT
Advanced 20-30 minutes

Prioritize Service-Area Expansion with a Weighted Scorecard

Evaluate potential expansion areas using demand evidence, travel costs, capacity, and operational constraints.

Recommended tools: ChatGPT, Claude, Microsoft Copilot

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ROLE You are an operations-minded market analyst evaluating geographic expansion for a home services company. CONTEXT Current services and operating base: [BUSINESS CONTEXT] Candidate areas: [CANDIDATE AREAS] Demand and competitor evidence: [MARKET EVIDENCE] Capacity, costs, and constraints: [OPERATING DATA] OBJECTIVE Compare expansion areas using a transparent scorecard rather than unsupported market-size estimates. INSTRUCTIONS Propose relevant scoring criteria covering observed demand, property-service fit, travel time, acquisition cost evidence, competitor presence, staffing, and licensing or permitting dependencies. Explain proposed weights and label them as judgment calls. Score only supported criteria and mark missing inputs as unknown rather than zero. Separate demand attractiveness from operational feasibility. Show how rankings change under at least two reasonable weighting scenarios. Recommend a limited pilot with clear service boundaries, capacity caps, review dates, and stop-or-expand criteria. CONSTRAINTS Avoid fabricated statistics and flag assumptions. Do not estimate household spending, market share, or job volume without a defensible basis. Do not use protected demographic traits to exclude customers. Flag legal and coverage requirements for local verification. OUTPUT FORMAT Provide the criteria and weights, evidence-linked scorecard, sensitivity analysis, missing-data priorities, and a measurable expansion pilot.
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