Methodologies

Delphi Method for Expert Risk Assessment

Structured technique for gathering and refining expert judgment on risks and uncertainties.

methodology · Expert Judgment · intermediate · Free

By the Risk Atlas editorial team · Last updated

Delphi Method for Risk Assessment

What is the Delphi Method?

The Delphi method is a structured communication technique for gathering and refining expert opinions through iterative rounds of anonymous feedback.

When to Use Delphi

  • Limited historical data
  • Complex, novel risks
  • Need for consensus
  • Expert judgment required
  • Emerging risk assessment

Core Characteristics

  1. Anonymity: Experts respond independently
  2. Iteration: Multiple rounds of feedback
  3. Controlled Feedback: Aggregated responses shared
  4. Statistical Analysis: Results analyzed quantitatively

Traditional Delphi Process

Round 1: Initial Survey

  • Open-ended questions
  • Experts provide estimates independently
  • No interaction between participants

Round 2: Feedback and Revision

  • Share anonymized summary statistics
  • Participants review group responses
  • Revise estimates if desired
  • Explain reasoning for outlier positions

Round 3+ : Convergence

  • Continue iterations until:
    • Consensus reached
    • Stable disagreement understood
    • Predetermined rounds completed
  • Typically 3-4 rounds sufficient

Risk Assessment Applications

Likelihood Estimation

  • Expert estimates of event probability
  • Calibrate using reference classes
  • Aggregate for consensus view

Impact Assessment

  • Qualitative and quantitative estimates
  • Multiple impact dimensions
  • Range estimation (min, most likely, max)

Emerging Risk Identification

  • Identify potential future risks
  • Assess importance and timing
  • Prioritize monitoring

Scenario Probability

  • Assign probabilities to scenarios
  • Validate scenario plausibility
  • Inform stress testing

Facilitation Guidelines

Expert Selection

  • Diverse expertise
  • Relevant experience
  • Independent thinkers
  • 7-15 participants ideal

Question Design

  • Clear, unambiguous wording
  • Avoid leading questions
  • Include calibration questions
  • Use consistent scales

Feedback Presentation

  • Summary statistics (median, IQR)
  • Anonymized rationale for outliers
  • Visual displays (box plots, histograms)
  • Highlight areas of consensus/divergence

Convergence Criteria

  • Interquartile range stability
  • Kendall's coefficient of concordance
  • Predetermined number of rounds
  • Practical time constraints

Variations

  • Real-time Delphi: Online, continuous
  • Policy Delphi: Focus on options, not consensus
  • Mini-Delphi: Single meeting, rapid iteration
  • Decision Delphi: Paired with decision analysis

Limitations

  • Time-intensive
  • Expert availability
  • Groupthink possibility (despite anonymity)
  • Not suitable for well-quantified risks

Tags: Delphi, expert judgment, consensus, forecasting

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