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Selected:Monte Carlo Forecasting Barrier Analysis Failure Mode and Effects Analysis Root Cause Analysis

Criterion	Delivery Monte Carlo Forecasting	Operations Barrier Analysis	Operations Failure Mode and Effects Analysis	Operations Root Cause Analysis
Purposedifferent	Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication.	For a risk that can only be managed through multiple layers of protection, the method examines the effectiveness of each barrier. It shows where safeguards are missing, too weak, or fail under real conditions.	For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability.	When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another.
Complexitydifferent	High	Medium	High	Medium
Timedifferent	30-90 min Setup, danach laufend	2-4 h	2-6 h	1-4 h
Participantsdifferent	1-8	2-6	3-10	3-8
Formatdifferent	Workshop + async	Workshop + async	Workshop	Workshop + async
Outputdifferent	Forecast Percentiles, Throughput Dataset, Risk Communication	Barrier Inventory, Failure Analysis per Barrier, Action Backlog	FMEA Table, Risk Priority, Mitigation Actions	Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan
Tagsno overlap	ForecastingFlowDelivery	Root causeSafetyIncident	RiskQualityOperationsRoot cause	Root causeProblem solvingQualityIncident

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