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Federal Procurement

Conduct Risk and Uncertainty Analysis

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Conduct Risk and Uncertainty Analysis

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Why does Step 9: Conduct Risk and Uncertainty Analysis matter?

Quantify the range of possible costs by modeling the combined effect of uncertainties across all cost elements. Unlike sensitivity analysis (which varies one factor at a time), risk analysis uses Monte Carlo simulation or similar techniques to produce a probability distribution of total program cost, enabling the selection of a confidence level for budgeting.

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Key Activities

  • 1.Assign probability distributions to uncertain cost elements
  • 2.Define correlation structures between related cost elements
  • 3.Run Monte Carlo simulation (typically 10,000+ iterations)
  • 4.Generate S-curve showing cost at various confidence levels
  • 5.Identify the cost at the 50th and 80th percentile confidence levels

Deliverables

Risk-adjusted cost estimate (S-curve)Confidence level recommendationsRisk register with cost impactsMonte Carlo simulation documentation

Common Pitfalls

  • !Assuming all cost elements are independent (ignoring correlations)
  • !Using symmetric distributions when risks are skewed upward
  • !Budgeting at the 50th percentile without management reserve for the gap to 80th

Adjacent Steps

Develop the Point EstimateStep 7Conduct Sensitivity AnalysisStep 8Document the EstimateStep 10Present Estimate for Management ApprovalStep 11

All Other Steps

Define the Estimate's PurposeStep 1Develop the Estimating PlanStep 2Define Program CharacteristicsStep 3Determine the Estimating Structure (WBS)Step 4Identify Ground Rules and AssumptionsStep 5Obtain DataStep 6Update the Estimate to Reflect Actual CostsStep 12

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Bureauify. (2026). Conduct Risk and Uncertainty Analysis — Federal Contract Intelligence. Bureauify Federal Intelligence. Retrieved , from https://bureauify.com/glossary/conduct-risk-and-uncertainty-analysis

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