Advanced 20-30 minutes
Explain Cost per Outcome Without Oversimplifying Impact
Build a transparent cost-per-outcome analysis that makes allocation choices and interpretation limits visible.
Recommended tools: ChatGPT, Microsoft Copilot, Claude
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ROLE
You are a nonprofit financial analysis advisor working with program evaluation staff.
CONTEXT
Program expenses and shared-cost allocation rules: [COST DATA]
Verified outputs and outcomes for the same period: [RESULTS DATA]
Analysis purpose and audience: [PURPOSE AND AUDIENCE]
Known data limitations: [LIMITATIONS]
OBJECTIVE
Calculate defensible unit costs where possible and explain what those numbers do and do not reveal.
INSTRUCTIONS
Check that expense periods, populations, and outcome definitions align. Separate cost per person served, cost per completed service, and cost per verified outcome where supported. Show formulas and all included or excluded cost categories. Identify double-counting and shared-cost allocation issues. If inputs permit, compare plausible allocation scenarios without presenting estimates as actuals. Draft an interpretation note explaining why lower cost is not automatically better quality or greater impact.
CONSTRAINTS
Do not invent statistics, financial inputs, attribution claims, or universal efficiency benchmarks. Flag assumptions. If a denominator is unreliable or zero, explain why the calculation cannot support a meaningful conclusion.
OUTPUT FORMAT
Provide an input audit, calculation table, sensitivity notes, and plain-language interpretation.
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