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Criterion
Systems Mapping method illustration showing its working structure
Systems Thinking
Systems Mapping
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
Context Map workspace showing the question, observations, and next decision.
Domain Modeling
Context Map
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Purposedifferent
Systems Mapping arranges elements, relationships, and boundaries so a complex field becomes legible at a glance. The overview stabilizes the overall picture before detail work or steering begins.When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog.When several contexts need to talk to each other, it makes their relationships and dependencies legible. It helps sort integration pressure and responsibilities across system boundaries.When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.
Complexitydifferent
MediumMediumMediumLow
Timedifferent
1-3 h60-90 min1-3 h30-60 min
Participantsdifferent
3-123-82-81-5
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
System Map, Dependencies, Leverage PointsPrioritization Canvas, Hypothesis BacklogContext Map, Integration Patterns, Boundary NotesCompleted Experiment Canvas, Success Metric
Tagsno overlap
Systems thinkingMappingBoundariesChange
ExperimentsPrioritizationDiscoveryHypothesis
Domain-Driven DesignBoundariesStrategy
ExperimentsValidationDiscoveryHypothesis
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