This is a classic market sizing case requiring a top-down approach using population and workforce data, combined with bottom-up assumptions about injury rates, claims frequency, and compensation costs. The case rewards detailed, well-reasoned assumptions while maintaining mathematical simplicity. Success depends on logical segmentation of the blue-collar workforce and realistic modeling of the workers' compensation claims process.
Not explicitly provided in the case materials shown. The case overview indicates the interviewee should develop sensible assumptions around: