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Criterion
Paper illustration for Root Cause Tree Analysis
Operations
Root Cause Tree Analysis
Paper illustration of shared options, independently placed voting dots, and a highlighted shortlist.
Facilitation
Dot Voting
Paper illustration for Root Cause Analysis.
Operations
Root Cause Analysis
Paper illustration for Pareto Analysis
Decision Making
Pareto Analysis
Purposedifferent
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.When a workshop has produced too many options and the group needs to condense quickly, dot voting makes preferences visible in a short time. It bundles individual votes into a solid signal for the next selection.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.In many problem situations, effect is distributed unequally across many causes. A Pareto Analysis separates the few drivers with high leverage from the long remainder and focuses attention on what measurably moves the needle.
Complexitydifferent
MediumLowMediumLow
Timedifferent
1-3 h5-15 min1-4 h30-60 min
Participantsdifferent
2-83-203-81-6
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Cause Tree, Evidence Notes, CountermeasuresRanked list, Consensus signal, ShortlistProblem Statement, Cause Hypotheses, Confirmed Causes, Action PlanPareto Chart, Top Causes, Focus List
Tagsno overlap
Root causeTreeIncidentQuality
FacilitationVotingConsensusPrioritization
Root causeProblem solvingQualityIncident
PrioritizationQualityFocusRoot cause
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