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Criterion
Paper illustration of Shape Up with its method-specific working model.
Delivery
Shape Up
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
Purposedifferent
Shape Up helps clarify scope, sequence, and delivery flow. It makes work boundaries and decisions explicit and captures results as pitches, bet-table decisions, and hill charts.A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once.A Causal Loop Diagram makes feedback, reinforcement, and balance in a system legible. It uncovers side effects and self-reinforcement that stay hidden in linear explanations.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.
Complexitydifferent
MediumHighMediumHigh
Timedifferent
6 Wochen Cycle + 2 Wochen Cool-Down2-6 h1-3 h2-6 h
Participantsdifferent
2-4 pro Pitch3-82-83-10
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop + async
Outputdifferent
Pitches, Bet-table decisions, Hill charts, Cooldown outcomesCurrent Reality Tree, Core Problems, Intervention IdeasCausal Loop Diagram, Feedback Notes, Leverage PointsEvent Timeline, Causal Factor Chart, Cause List, Corrective Actions
Tagsno overlap
PlanningDeliveryAutonomy
Systems thinkingRoot causeConstraintsCausality
FeedbackSystems thinkingCausalityDynamics
CausalityIncidentRoot causeTimeline
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