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Criterion
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration of Lean UX Canvas with its method-specific working model.
UX Design
Lean UX Canvas
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
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
Purposedifferent
When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes.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.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 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.
Complexitysame
MediumMediumMediumMedium
Timedifferent
30-90 min2-3 h60-90 min1-2 h Setup, laufend
Participantsdifferent
3-123-83-82-6
Formatdifferent
WorkshopWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Affinity Size Map, Grouped Estimates, Unclear ItemsCompleted Lean UX Canvas, Hypothesis list, First experimentPrioritization Canvas, Hypothesis BacklogOpportunity Solution Tree, Experiment Backlog, Learning Log
Tagsno overlap
EstimationBacklogRelative sizing
CanvasHypothesisOutcomesDiscovery
ExperimentsPrioritizationDiscoveryHypothesis
DiscoveryOutcomesExperimentsOpportunity
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