What a private equity case framework is really testing
Private-equity cases combine commercial diligence with investment math. The question is not simply whether a company is attractive. It is whether the fund can buy at a given price, improve or grow the business, service debt, exit under realistic conditions, and earn a sufficient return.
Candidates should identify which assumptions drive the result and what evidence would break the thesis. This often matters more than producing a highly detailed model from thin information.
A step-by-step method for a private equity case framework
Frame the thesis, validate the business, build the value bridge, and stress-test the few assumptions that control the return.
Define the deal
Clarify fund objective, holding period, return hurdle, entry valuation, leverage, scope, and the proposed investment thesis.
Assess market and company
Test demand, growth, cyclicality, competition, differentiation, customers, retention, pricing, margins, and management.
Build value creation
Size credible revenue, margin, working-capital, and strategic levers with investment, timing, and execution requirements.
Model the return
Connect entry value, cash generation, debt paydown, exit earnings, and exit multiple to equity proceeds, MOIC, and IRR.
Stress-test and diligence
Run downside cases and prioritize questions on customer concentration, churn, quality of earnings, capex, regulation, and exit liquidity.
Worked example: a private equity case framework
Follow the reasoning, then rebuild it for a different industry instead of memorizing the wording.
What good looks like
- A concise, falsifiable investment thesis
- Commercial drivers connected to cash and return
- Value creation distinguished from market growth
- Downside cases and diligence priorities stated
Mistakes to avoid
- Calling contracted revenue risk-free
- Assuming the exit multiple expands
- Ignoring capex and working capital
- Listing diligence questions without connecting them to the thesis
How to practice deliberately
Write a three-part investment thesis for two companies
Build a simple entry-to-exit equity bridge
Identify the five variables with greatest return sensitivity
Give an invest/do-not-invest recommendation with conditions
If voice AI isn’t part of your case prep yet, it should be.
Run a complete case out loud with a voice AI interviewer. Get detailed feedback on your communication, delivery, logic, reasoning, and final recommendation.
- A realistic back-and-forth case conversation
- Detailed feedback across every stage of the case
- Audio analysis of pace, pauses, filler words, and confidence
Frequently asked questions
What return math should I know for a PE case?
Understand enterprise and equity value, debt paydown, exit proceeds, multiple of invested capital, and the intuition behind IRR. State assumptions and check whether they are economically consistent.
What is commercial due diligence?
It tests the market, customers, competition, revenue quality, and growth or value-creation thesis that support an investment decision. Financial, legal, operational, and technical diligence complement it.
How should I handle an uncertain exit multiple?
Use a defensible base case and stress-test lower and higher outcomes. Do not rely on multiple expansion as the primary source of return without strong evidence.
Sources and further reading
- Interviewing at McKinsey: McKinsey & CompanyPrimary source for McKinsey recruiting and interview guidance.
- Consulting interview process: Boston Consulting GroupPrimary source for BCG interview stages and evaluated capabilities.
- Interviewing at Bain: Bain & CompanyPrimary source for Bain case-interview expectations and sample cases.