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Criterion
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration of a branching tree with an outcome at its root, customer opportunities, solution options and small experiment cards.
Product Discovery
Opportunity Solution Tree
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
Paper illustration of Lean UX Canvas with its method-specific working model.
UX Design
Lean UX Canvas
Purposedifferent
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.When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure.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.The Lean UX Canvas helps clarify user behavior, touchpoints, and concept decisions. It makes assumptions and desired outcomes visible and captures the result as a completed canvas, hypothesis list, and first experiment.
Complexitydifferent
LowMediumMediumMedium
Timedifferent
45-90 min1-2 h Setup, laufend60-90 min2-3 h
Participantsdifferent
2-82-63-83-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Assumption List, Critical Assumptions, Learning PlanOpportunity Solution Tree, Experiment Backlog, Learning LogPrioritization Canvas, Hypothesis BacklogCompleted Lean UX Canvas, Hypothesis list, First experiment
Tags1 shared
AssumptionsRiskDecisionDiscovery
DiscoveryOutcomesExperimentsOpportunity
ExperimentsPrioritizationDiscoveryHypothesis
CanvasHypothesisOutcomesDiscovery
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