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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 branching tree with an outcome at its root, customer opportunities, solution options and small experiment cards.
Product Discovery
Opportunity Solution Tree
Paper illustration for Opportunity Interview
Product Discovery
Opportunity Interview
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 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 opportunities are still hidden behind signals of need, it structures conversations around needs and obstacles. It looks for patterns that lead to new product opportunities.
Complexitysame
MediumMediumMedium
Timedifferent
Laufend, Wochen bis Monate1-2 h Setup, laufend30-60 min je Interview
Participantsdifferent
4-102-65-12 Interviews
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte StoriesOpportunity Solution Tree, Experiment Backlog, Learning LogInterview Notes, Opportunity Themes, Customer Quotes
Tags1 shared
AgileDiscoveryDelivery
DiscoveryOutcomesExperimentsOpportunity
DiscoveryInterviewsOpportunityCustomer
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Paper illustration of GIST Planning with its method-specific working model.
Product Strategy
GIST Planning
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas