methodatlas
Compare

View methods side by side.

Choose up to four methods. Add them using the search and share the comparison by copying its link.

Criterion
Context Map workspace showing the question, observations, and next decision.
Domain Modeling
Context Map
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
A paper-based illustration representing Domain Storytelling with its core stages and visible working result.
Knowledge Modeling
Domain Storytelling
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
When several contexts need to talk to each other, it makes their relationships and dependencies legible. It helps sort integration pressure and responsibilities across system boundaries.When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.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.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.
Complexitydifferent
MediumHighLowLow
Timedifferent
1-3 h1-4 Wochen1-2 h1-2 h
Participantsdifferent
2-86-30 Experten2-82-8
Formatdifferent
Workshop + asyncAsyncWorkshopWorkshop + async
Outputdifferent
Context Map, Integration Patterns, Boundary NotesExpert Forecast, Consensus Range, Assumption NotesDomain Story, Glossary Notes, Process NarrativeDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
Domain-Driven DesignBoundariesStrategy
ForecastingExpertsDecisionStrategy
KnowledgeDomain-Driven DesignProcess
StrategyDecisionAssumptionsHypothesis
Add more methods