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
Paper illustration of Competency Questions with its method-specific working model.
Knowledge Modeling
Competency Questions
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Purposedifferent
Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures.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.A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation.In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia.
Complexitydifferent
MediumLowHighMedium
Timedifferent
2-4 h1-2 h2-4 h15-60 min je Zyklus
Participantsdifferent
2-82-83-81-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Competency Question Set, Required Concepts, Test Queries, Coverage MatrixDIBB document, Belief list, Bet list, Learning reportFuture Reality Tree, Negative Branches, Assumption List, Improved InjectionsSituation Assessment, Decision Loop, Action Updates
Tagsno overlap
OntologyKnowledge graphScopeRequirementsSemantic
StrategyDecisionAssumptionsHypothesis
Theory of ConstraintsSystems thinkingChange
DecisionChangeLearningStrategy
Add more methods