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Criterion
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
A paper-based illustration representing Wardley Mapping with its core stages and visible working result.
Systems Thinking
Wardley Mapping
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
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.Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it.Wardley Mapping makes visible where an offering stands today and where it can evolve. The method connects user need, value chain, and evolution stages into a strategic basis for platform, build, or buy decisions.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.
Complexitydifferent
MediumLowMediumLow
Timedifferent
1-3 h45-90 min1-3 h1-2 h
Participantsdifferent
2-82-82-102-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Causal Loop Diagram, Feedback Notes, Leverage PointsAssumption List, Critical Assumptions, Learning PlanWardley Map, Strategic Options, Evolution NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
FeedbackSystems thinkingCausalityDynamics
AssumptionsRiskDecisionDiscovery
StrategySystems thinkingDynamics
StrategyDecisionAssumptionsHypothesis
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