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 Future Reality Tree.
Systems Thinking
Future Reality Tree
Paper illustration for Solution Interview
Product Discovery
Solution Interview
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Purposedifferent
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.When a solution idea is already on the table, it checks how it is understood and evaluated. It looks for resonance, objections, and missing fit early in the conversation.In dynamic situations, decisions become outdated faster than they can be prepared.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.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.
Complexitydifferent
HighMediumMediumHigh
Timedifferent
2-4 h30-60 min je Interview15-60 min je Zyklus1-4 Wochen
Participantsdifferent
3-85-10 Interviews1-86-30 Experten
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Future Reality Tree, Negative Branches, Assumption List, Improved InjectionsSolution Feedback, Objection List, Validation NotesSituation Assessment, Decision Loop, Action UpdatesExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
Theory of ConstraintsSystems thinkingChange
ValidationInterviewsPrototype
DecisionChangeLearningStrategy
ForecastingExpertsDecisionStrategy
Add more methods