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Criterion
A paper-based illustration representing Domain Storytelling with its core stages and visible working result.
Knowledge Modeling
Domain Storytelling
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
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.In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.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.
Complexitydifferent
LowLowMedium
Timedifferent
1-2 h20–45 min30-90 min
Participantsdifferent
2-8Small cross-functional group1-6
Formatdifferent
WorkshopWorkshopWorkshop + async
Outputdifferent
Domain Story, Glossary Notes, Process NarrativeRisk list, Mitigation plan, Assumption logDecision Tree, Option Map, Assumption List
Tagsno overlap
KnowledgeDomain-Driven DesignProcess
RiskDecisionFailurePlanning
DecisionTreeOptions
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration for Failure Scenario Analysis.
Engineering
Failure Scenario Analysis
Paper illustration of an IBIS map with issues, positions and arguments
Knowledge Modeling
IBIS