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Criterion
Paper illustration for Golden Path
Engineering
Golden Path
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
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Purposedifferent
When teams need a reliable default path for frequent use, sprawl quickly emerges without any guiding logic. Golden Path bundles the preferred path so good practice becomes easy and deviation becomes deliberate.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.ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification.When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan.
Complexitysame
MediumMediumMediumMedium
Timedifferent
1-3 Tage Setup, laufend1-2 h Setup, laufend2–4 h review as a planning range; preparation and evaluation additional45-75 min
Participantsdifferent
2-82-6Designers, developers as users, and facilitation2-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Golden Path Guide, Templates, Quality ChecksOpportunity Solution Tree, Experiment Backlog, Learning LogPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsTest Matrix, Test Plan
Tagsno overlap
EngineeringProductivityGovernance
DiscoveryOutcomesExperimentsOpportunity
ArchitectureEngineeringFeedbackValidationTasks
ExperimentsValidationDiscoveryOptions
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