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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for ALPEN Method
Operations
ALPEN Method
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
A 5 Whys working surface connects an observable problem with evidenced causes, marked uncertainty and concrete countermeasures with ownership.
Operations
5 Whys
Purposedifferent
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.With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time.For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events.For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description.
Complexitydifferent
MediumLowHighLow
Timedifferent
30-90 min10-20 min daily2-6 h15-30 min
Participantsdifferent
1-613-102-6
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop
Outputdifferent
Decision Tree, Option Map, Assumption ListDaily Plan, Time Estimates, Review NotesEvent Timeline, Causal Factor Chart, Cause List, Corrective ActionsRoot cause notes, Countermeasures
Tagsno overlap
DecisionTreeOptions
PlanningTime managementProductivityOperations
CausalityIncidentRoot causeTimeline
Root causeIncidentLeanProblem solving
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