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Criterion
A paper-based illustration representing Domain Storytelling with its core stages and visible working result.
Knowledge Modeling
Domain Storytelling
Paper illustration of Shape Up with its method-specific working model.
Delivery
Shape Up
Paper illustration for Argument Mapping
Decision Making
Argument Mapping
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.Shape Up helps clarify scope, sequence, and delivery flow. It makes work boundaries and decisions explicit and captures results as pitches, bet-table decisions, and hill charts.When statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on.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
LowMediumMediumLow
Timedifferent
1-2 h6 Wochen Cycle + 2 Wochen Cool-Down1-3 h30-90 min
Participantsdifferent
2-82-4 pro Pitch1-82-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Domain Story, Glossary Notes, Process NarrativePitches, Bet-table decisions, Hill charts, Cooldown outcomesArgument Map, Evidence Gaps, Decision RationaleConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tagsno overlap
KnowledgeDomain-Driven DesignProcess
PlanningDeliveryAutonomy
SensemakingDecisionRationale
ConstraintsDecisionPlanningOptions
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