Which analysis helps to determine the risks that have the most potential for impacting the project?

Question

Options

• AExpected monetary value analysis
• BSensitivity analysis
• CModeling and simulation
• DExpert judgment

• A
  4% (2)
• B
  78% (43)
• C
  5% (3)
• D
  13% (7)

Explanation

Sensitivity analysis identifies which individual risks have the greatest potential impact on project outcomes by examining how changes in one uncertain variable affect overall project results - it essentially ranks risks by their relative influence, showing which ones "move the needle" most on cost, schedule, or other objectives. This makes it the go-to tool for prioritizing risk response efforts.

Why the distractors are wrong:

• A (Expected Monetary Value): EMV calculates the average outcome of a risk scenario (probability × impact) and is used in decision tree analysis - it quantifies individual risk value but doesn't rank which risks most influence the project overall.
• C (Modeling and Simulation): Techniques like Monte Carlo simulation model the combined effect of all risks on project outcomes, giving an overall probability distribution - useful for understanding total exposure, not for isolating which single risk has the most sway.
• D (Expert Judgment): This is an input/technique used across many processes, not a structured analytical method for determining risk impact rankings.

Memory tip: Think of sensitivity analysis as a "tornado diagram" - the output is literally a tornado-shaped chart with the highest-impact risks at the wide top and lesser ones narrowing toward the bottom. If you remember "tornado = sensitivity = which risk hits hardest," you'll never mix it up with EMV or simulation.

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