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Criterion
Affinity Diagramming
UX Research
Affinity Diagramming
Paper illustration of a JTBD interview notebook with a decision timeline, forces of change and a concise job hypothesis.
Product Discovery
Jobs to Be Done
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 research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer.When switching motives and progress are unclear, it reconstructs the situation from real customer circumstances. It shows why a switch happens and what kind of progress is being sought.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.
Complexitydifferent
LowMediumMediumMedium
Timedifferent
45–90 min1-3 Wochen60-90 min1-2 h Setup, laufend
Participantsdifferent
3-105-12 Interviews3-82-6
Formatdifferent
WorkshopWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Theme clusters, Insight statements, Opportunity areasJob Stories, Outcome Statements, Opportunity ListPrioritization Canvas, Hypothesis BacklogOpportunity Solution Tree, Experiment Backlog, Learning Log
Tagsno overlap
SynthesisQualitativeRoot cause
CustomerOutcomesNeeds
ExperimentsPrioritizationDiscoveryHypothesis
DiscoveryOutcomesExperimentsOpportunity
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