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Criterion
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Purposedifferent
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.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.
Complexitydifferent
MediumMediumLowLow
Timedifferent
2–4 h review as a planning range; preparation and evaluation additional30-90 min1-2 h30-90 min
Participantsdifferent
Designers, developers as users, and facilitation1-62-82-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsDecision Tree, Option Map, Assumption ListDIBB document, Belief list, Bet list, Learning reportConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tagsno overlap
ArchitectureEngineeringFeedbackValidationTasks
DecisionTreeOptions
StrategyDecisionAssumptionsHypothesis
ConstraintsDecisionPlanningOptions
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