Expected Value Sensitivity Analysis Interview
Expected value sensitivity analysis interview guide for testing how probabilities, payoffs, costs, and thresholds change a decision.
Candidates who need to discuss assumptions and robustness in expected value answers.
Sensitivity asks what changes the answer
After computing baseline expected value, identify which input would most easily flip the decision: probability, payoff, cost, or constraint.
Vary one input at a time
A simple interview approach is to hold other inputs fixed and move one key assumption until the expected value reaches zero.
Concrete example
If EV = 10p - 4, the break-even probability is 40 percent. A baseline estimate of 42 percent is much less robust than a baseline estimate of 70 percent.
Use thresholds
Thresholds turn sensitivity analysis into a clear statement: the decision works if success probability stays above this number or cost stays below that number.
Discuss confidence
If the answer depends on a narrow edge and uncertain inputs, say the decision is fragile even if the baseline EV is positive.
Common mistakes
Candidates often give one precise EV number from rough assumptions. Sensitivity analysis shows whether the decision is stable or fragile.
Practice the pattern
Use the LeetQuidity curriculum and calibration to turn this topic into a focused practice plan.