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Criterion
A paper-based illustration representing Domain Storytelling with its core stages and visible working result.
Knowledge Modeling
Domain Storytelling
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
Domain Storytelling translates domain knowledge into a shared narrative of actors, objects, and workflows. It is especially useful when language, rules, and process understanding must be tightly connected.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
LowMediumLowLow
Timedifferent
1-2 h30-90 min1-2 h30-90 min
Participantsdifferent
2-81-62-82-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Domain Story, Glossary Notes, Process NarrativeDecision Tree, Option Map, Assumption ListDIBB document, Belief list, Bet list, Learning reportConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tagsno overlap
KnowledgeDomain-Driven DesignProcess
DecisionTreeOptions
StrategyDecisionAssumptionsHypothesis
ConstraintsDecisionPlanningOptions
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