The Toto Foundation seeks to deploy drone technology for humanitarian aid in Africa. Candidates must identify the optimal aid project (vaccine delivery emerges as best fit) and target country (Senegal vs Guinea), using cost-benefit analysis that prioritizes lives impacted rather than traditional business profitability metrics.
Key Insights:
- Non-profit constraints differ fundamentally from for-profit analysis—prioritize impact per dollar and mission alignment over margin optimization
- Comparative analysis across multiple dimensions (expertise, need, impact, cost) helps eliminate infeasible options before detailed analysis
- Unit economics matter: Senegal delivers 2.5x more vials annually at the same total cost as Guinea due to shorter flight distances and lower per-mile costs
- Qualitative factors (safety, regulatory environment, ease of doing business) are decisive constraints in non-profit operations and cannot be overridden by cost savings alone
- A strong candidate maintains focus on lives impacted throughout the case and questions assumptions with real-world implementation data