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 for Teach-back.
Knowledge Modeling
Teach-back
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Purposedifferent
Teach-back checks whether an explanation actually got through to the other person. The method makes misunderstandings visible early and strengthens shared understanding in advisory and learning situations.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.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.In dynamic situations, decisions become outdated faster than they can be prepared.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
LowHighMediumMedium
Timedifferent
5-20 min1-4 Wochen30-90 min15-60 min je Zyklus
Participantsdifferent
2-86-30 Experten1-61-8
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Understanding Check, Clarification Notes, Learning GapsExpert Forecast, Consensus Range, Assumption NotesDecision Tree, Option Map, Assumption ListSituation Assessment, Decision Loop, Action Updates
Tagsno overlap
LearningUnderstandingCommunication
ForecastingExpertsDecisionStrategy
DecisionTreeOptions
DecisionChangeLearningStrategy
Add more methods