Tools that analyze
Decompose a result to see what is driving it.
17 of 388 tools.
Analyze coordination entropy
Quantify privacy-safe cross-team seam complexity, concentration, latency, and failure load.
Analyze deep uncertainty minimax regret
Apply Savage minimax regret when scenario probabilities are not defensible, compare maximin and equal-weight choices, and use PRIM-style iterative peeling to discover compact context boxes where the robust choice remains vulnerable.
Analyze delayed management feedback stability
Stress the dynamic stability of a delayed signed organizational feedback model: build a VAR companion matrix from interval-valued lagged influences, evaluate midpoint, interval corners, and sampled simultaneous coefficients, calculate spectral and transient amplification margins, and rank one-edge damping leverage without claiming an exhaustive robust-control certificate.
Analyze info gap robust satisficing
Select a robust-satisficing action under severe uncertainty with Info-Gap Decision Theory: evaluate worst and best payoff across a governed nested uncertainty envelope, maximize the radius before a critical requirement fails, report windfall opportuneness, and use no scenario probabilities.
Bayesian account risk triage
Prioritize human review of auditable account-security and policy-conflict evidence using Bayes factors and decision costs.
Build reverse stress scenarios
Solve the minimum standardized bounded combination of adverse driver shocks needed to breach a governed operating or financial threshold, with driver contributions, binding bounds, and single-driver break points.
Calibrate business case forecasts
Calibrate positive business-case forecasts with chronological empirical-Bayes log-ratio correction, sparse-category shrinkage, proper-score validation, and interval-coverage gates.
Conformalize prediction intervals
Apply finite-sample split-conformal inflation to model intervals, with Mondrian group corrections and explicit global fallback for sparse groups.
Construct calibration shared evidence graph
Discover stable candidate relationships for shared calibration design by correlating standardized held-out loss improvement across common environments, resampling whole environments, stability-selecting practical edges, controlling sign discoveries with Benjamini-Hochberg FDR and returning connected components without claiming parameter transfer.
Construct deterministic project pareto frontier
Construct the exact practically nondominated frontier and successive Pareto layers across projects, products, vendors, or investments without hiding tradeoffs behind arbitrary score weights.
Construct quality speed cost pareto surface
Construct a stochastic three-dimensional quality, delivery-time, and cost Pareto surface with practical dominance, membership probability, and a transparent maximin navigator.
Construct stochastic pareto frontier
Construct a stochastic Pareto frontier from aligned joint criterion scenarios using scenario-wise frontier membership and pairwise practical chance dominance rather than dominance of point estimates.
Control online alert false discoveries
Control false discoveries across a prespecified live hypothesis stream with LORD++ and an infinite geometric alpha-spending sequence.
Decompose product margin change
Decompose product operating-profit and margin change across volume, price, variable unit cost, and fixed cost using an order-invariant exact Shapley bridge.
Explain metric shift shapley
Fit a cross-validated second-order ridge response surface and decompose its reference-to-current aggregate metric shift with an efficiency-preserving Shapley allocation, bootstrap uncertainty, and an explicit unexplained residual.
MCMC project completion forecast
Forecast live task and project completion with a censored Bayesian lognormal model, MCMC uncertainty, dependencies, and finite parallelism.
Stack resolved probability forecasts
Fit convex weights to frozen probability forecasts on chronological training history and require bootstrap-validated log-loss improvement over the training-selected best component on future outcomes.