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
A paper-based illustration representing Domain Storytelling with its core stages and visible working result.
Knowledge Modeling
Domain Storytelling
Paper illustration for RAPID
Decision Making
RAPID
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
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 complex management decisions, clarity is often missing about who recommends, who agrees, and who makes the decision. RAPID creates this assignment and stabilizes decisions across several levels.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.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
LowMediumHighLow
Timedifferent
1-2 h45-90 min1-4 Wochen1-2 h
Participantsdifferent
2-83-126-30 Experten2-8
Formatdifferent
WorkshopWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Domain Story, Glossary Notes, Process NarrativeRAPID Role Map, Recommendation, Decision LogExpert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
KnowledgeDomain-Driven DesignProcess
DecisionRolesGovernance
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
Add more methods