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Selected:Three-Point Estimation Opportunity Solution Tree Hypothesis Prioritization Canvas Experiment Canvas

Criterion	Decision Making Three-Point Estimation	Product Discovery Opportunity Solution Tree	Product Discovery Hypothesis Prioritization Canvas	Product Discovery Experiment Canvas
Purposedifferent	A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption Notes.	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.	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	Medium	Medium	Medium	Low
Timedifferent	10-30 min je Item	1-2 h Setup, laufend	60-90 min	30-60 min
Participantsdifferent	1-8	2-6	3-8	1-5
Formatdifferent	Workshop + async	Workshop + async	Workshop	Workshop + async
Outputdifferent	Three-Point Estimate, Risk Range, Assumption Notes	Opportunity Solution Tree, Experiment Backlog, Learning Log	Prioritization Canvas, Hypothesis Backlog	Completed Experiment Canvas, Success Metric
Tagsno overlap	EstimationUncertaintyForecasting	DiscoveryOutcomesExperimentsOpportunity	ExperimentsPrioritizationDiscoveryHypothesis	ExperimentsValidationDiscoveryHypothesis

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