Engine / correlations

Correlations

Correlation handling for uncertainty and risk relationships, so independent-looking inputs do not create a false answer.

Engine / correlations

Risks that move together, modelled together.

Treat every input as independent and the simulation quietly cancels risks against each other — the spread narrows and P80 looks better than it is. Set rank correlations on the pairs that share a driver, in a matrix or a heatmap.

15 dist · 5 pairs
DU-001RSK-0012RSK-0008RSK-0011RSK-0022RSK-0007RSK-0006RSK-0026
ScheduleProbabilityProbabilityScheduleProbabilityCostProbabilityScheduleProbabilityScheduleProbabilityScheduleProbabilityScheduleCost
DU-001Schedule1.0
RSK-0012Probability1.0
RSK-0008Probability1.0
Schedule1.0
RSK-0011Probability1.0
Cost1.0
RSK-0022Probability1.0
Schedule1.0
RSK-0007Probability1.0
Schedule1.0
RSK-0006Probability1.0
Schedule1.0
RSK-0026Probability1.0
Schedule1.0
Cost1.0

Correlation keeps related inputs moving together, so the simulation cannot quietly cancel risks against each other. Click any coefficient to change it — the heatmap and pair count follow. Hover a risk code for its ranges.

correlations / methodlive
01Rank (Spearman) correlation between distributions
02Iman-Conover style induced correlation in sampling
03Correlate schedule, cost and probability inputs
04Pair-level coefficients, not a blanket assumption
05Matrix and heatmap views of the same model
06Bulk-set coefficients across many pairs at once
07Filter rows and columns on large registers
08Stops uncertainty cancelling out and flattering P80
01 / Page focus

What this page covers

  • Rank correlation support
  • Iman-Conover style modelling
  • More realistic joint outcomes
02 / Conversion path

From proof to demo.

Each page keeps a focused CTA, so a buyer can move from the exact feature they care about into a free demo or walkthrough without returning to the top of the homepage.

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