Risk Assessment

Monte Carlo Simulation

Generates probability distributions of outcomes under uncertainty via thousands of random iterations

Rubric Type

probabilistic

Complexity

high

Extractor

risk

Required Inputs

SolveRight's AI extractor automatically derives these data points from your decision description:

  • ✓variable ranges
  • ✓probability distributions
  • ✓correlation data
  • ✓iterations

Best For

ConsultantsEngineersExecutives

How Monte Carlo Simulation Works in SolveRight

When you run a decision through SolveRight, Monte Carlo Simulation is one of up to 155 frameworks that analyze your options simultaneously. The AI extractor identifies 4 key data points from your decision description, then the probabilistic rubric computes a normalized 0-100 score for each option. This score is combined with results from other frameworks to produce your overall ranking, with contradiction detection highlighting where Monte Carlo Simulationdisagrees with other methodologies.

Monte Carlo Simulation — Frequently Asked Questions

What is Monte Carlo Simulation?+
Generates probability distributions of outcomes under uncertainty via thousands of random iterations. In SolveRight, Monte Carlo Simulation uses a probabilistic rubric to compute a normalized 0–100 score for each option.
When should I use Monte Carlo Simulation?+
Monte Carlo Simulation is best suited for Risk Assessment decisions. It evaluates factors like variable ranges, probability distributions, correlation data, making it valuable when you need identifying, quantifying, and mitigating potential downsides.
How does SolveRight use Monte Carlo Simulation?+
SolveRight runs Monte Carlo Simulation alongside up to 154 other frameworks simultaneously. The AI extractor identifies 4 key data points from your decision description, then the probabilistic rubric computes deterministic scores. If Monte Carlo Simulation disagrees with other frameworks, contradiction detection highlights the divergence.
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