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Criterion	Engineering Hypothesis-Driven Troubleshooting	Operations Scatter Diagram	Operations Failure Mode and Effects Analysis	Operations Kepner-Tregoe
Purposedifferent	When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable.	When the question is whether two measures are related, the method makes patterns in the data picture visible. It separates felt correlations from relationships that actually show up in the data.	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.	For a disturbance that's hard to pin down, the method cleanly separates problem, cause, and decision. It reduces mixing when symptoms allow several interpretations.
Complexitydifferent	Medium	Low	High	High
Timedifferent	30-240 min	30-90 min	2-6 h	2-8 h
Participantsdifferent	1-6	1-4	3-10	2-8
Formatdifferent	Workshop + async	Workshop + async	Workshop	Workshop + async
Outputdifferent	Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary	Scatter Plot, Korrelationsnotiz, Hypothesenliste	FMEA Table, Risk Priority, Mitigation Actions	Problem Analysis, Decision Analysis, Risk Plan
Tagsno overlap	TroubleshootingProblem solvingDiagnosis	Root causeQualityVisualization	RiskQualityOperationsRoot cause	Problem solvingRoot causeDecisionOperations