P
ProHub
English 简体中文 繁體中文
Medium Market Sizing

Workplace Insurance Co.

#Financial Services
ProHub Comment

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.

Estimated Time 26 minutes
Difficulty Medium
Source Cornell
10 / 100
Our client is a large US insurance company that is thinking about launching a new type of insurance product that deals with injuries at a workplace – a form of workmen’s compensation for blue-collar workers. They have hired us to determine the potential market size and revenue potential for this new product (if they were to go ahead with the launch).

Clarifying Information

Not explicitly provided in the case materials shown. The case overview indicates the interviewee should develop sensible assumptions around:

  1. Number of injuries
  2. Frequency of injuries per year
  3. % of injuries claimed by companies
  4. Average duration a worker is affected (i.e. unable to work as a result of the injury)
  5. Average wage of blue-collar workers
  6. Average compensation to be paid to injured workers
  7. Market share client expects to reasonably capture with this new product (assuming similar products are being offered by competitors)
Mock Interview
Interviewer

Our client is a large US insurance company that is thinking about launching a new type of insurance product that deals with injuries at a workplace – a form of workmen's compensation for blue-collar workers. They have hired us to determine the potential market size and revenue potential for this new product (if they were to go ahead with the launch).

You

Thanks. Before analyzing, I'd like to clarify a few key questions...

Interviewer

Good question. Let me provide some background information...

You

Based on this, I suggest analyzing from these dimensions...

AI Score
Structure Analysis Communication Business Sense Quantitative
Practicing...
Score coming soon
Practice this case with AI Mock Interview

A large US insurance company seeks to launch a new workplace injury insurance product for blue-collar workers. The consulting team must estimate the total addressable market size and revenue potential by making assumptions about the number of blue-collar workers, injury frequency, claims rates, worker compensation amounts, and expected market share.

Key Insights:

  1. Start with US population (300m) and filter by workforce participation and age range (20-60), accounting for ~3% unemployment
  2. Estimate blue-collar worker population using GDP segmentation (e.g., 40% of US GDP from blue-collar industries like oil/gas, manufacturing)
  3. Layer on injury-specific metrics: number of injuries, frequency per year, claims percentage, duration of disability, and average wage
  4. Calculate addressable market by multiplying injured workers by average compensation payouts
  5. Adjust final revenue by realistic market share assumptions given competitive landscape
  6. The more detailed and logic-driven the assumptions, the stronger the response