A McKinsey-style investment decision case where candidates must evaluate whether an archaeologist should fund a $500K expedition to recover a 6,000-year-old crown with a 20% success probability. The analysis reveals an 80% ROI (expected value $900K vs. $500K cost), slightly below the required 85% hurdle, requiring candidates to weigh quantitative metrics against strategic and personal considerations.
Key Insights:
- Frame costs into upfront, recurring, and opportunity cost categories to build a comprehensive total investment picture
- Use comparable data and present value calculations to value non-cash compensation (museum ticket revenue share) against lump-sum offers
- Incorporate probability weighting into expected value calculations when success rates are less than 100%
- Compare final ROI to explicit thresholds, but recognize that marginal shortfalls may be acceptable depending on qualitative factors like strategic optionality and personal motivation
- Consider both support and no-go arguments—this case has no objectively correct answer and tests judgment, not just calculation