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 Shape-first Modeling with its method-specific working model.
Knowledge Modeling
Shape-First Modeling
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
Purposedifferent
Shape-First Modeling defines data quality through shapes before implementation or integration frays at the edges. The approach fits when validation and data contracts should be part of the design from the start.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assessments iteratively and gradually brings expert judgments closer together.In dynamic situations, decisions become outdated faster than they can be prepared.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.The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.
Complexitydifferent
MediumHighMediumLow
Timedifferent
Halber Tag pro Domain Slice1-4 Wochen15-60 min je Zyklus25-40 min
Participantsdifferent
1-46-30 Experten1-81-5
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape DocumentationExpert Forecast, Consensus Range, Assumption NotesSituation Assessment, Decision Loop, Action UpdatesLearning Card with evidence and next action
Tagsno overlap
Knowledge graphValidationSemantic
ForecastingExpertsDecisionStrategy
DecisionChangeLearningStrategy
ExperimentsValidationDiscoveryLearning
Add more methods