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Criterion
Systems Mapping method illustration showing its working structure
Systems Thinking
Systems Mapping
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
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.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.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.When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report.
Complexitydifferent
MediumLowLowMedium
Timedifferent
1-3 h1-2 h30-60 min1-2 Wochen pro Iteration
Participantsdifferent
3-122-81-52-6
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
System Map, Dependencies, Leverage PointsDIBB document, Belief list, Bet list, Learning reportCompleted Experiment Canvas, Success MetricPrioritized Assumption List, Test Plan, Results Report
Tagsno overlap
Systems thinkingMappingBoundariesChange
StrategyDecisionAssumptionsHypothesis
ExperimentsValidationDiscoveryHypothesis
ExperimentsValidationDiscoveryAssumptions
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