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Criterion
Paper illustration of Dual Track Agile with its method-specific working model.
Product Discovery
Dual-Track Agile
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 uncertainty and delivery run in parallel, it separates learning work from implementation while keeping both connected. It prevents unvalidated ideas from falling directly into the delivery stream.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.
Complexitysame
MediumMediumMediumMedium
Timedifferent
Laufend, Wochen bis Monate1-3 Wochen60-90 min1-2 h Setup, laufend
Participantsdifferent
4-105-12 Interviews3-82-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte StoriesJob Stories, Outcome Statements, Opportunity ListPrioritization Canvas, Hypothesis BacklogOpportunity Solution Tree, Experiment Backlog, Learning Log
Tagsno overlap
AgileDiscoveryDelivery
CustomerOutcomesNeeds
ExperimentsPrioritizationDiscoveryHypothesis
DiscoveryOutcomesExperimentsOpportunity
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