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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for 8D Problem Solving.
Operations
8D Problem Solving
Paper illustration for Root Cause Tree Analysis
Operations
Root Cause Tree Analysis
Purposedifferent
When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.For an acute quality or delivery problem, the method structures immediate protection and root cause work together. It keeps the situation stable while the actual cause is investigated cleanly.For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie.
Complexitydifferent
HighMediumHighMedium
Timedifferent
1-4 Wochen30-90 min1-6 Wochen1-3 h
Participantsdifferent
6-30 Experten1-64-102-8
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesDecision Tree, Option Map, Assumption List8D Report, Containment Plan, Root Cause Evidence, Corrective Action PlanCause Tree, Evidence Notes, Countermeasures
Tagsno overlap
ForecastingExpertsDecisionStrategy
DecisionTreeOptions
QualityProblem solvingRoot cause
Root causeTreeIncidentQuality
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