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Criterion
How Might We
Innovation
How Might We
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
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
With a stuck problem carrying many implicit assumptions, the method translates observations into open, workable questions. It sharpens the problem frame without pre-thinking the solution, turning frustration or fuzziness into a search space with clear direction.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how options branch under conditions and which consequences hang on each branch.In dynamic situations, decisions become outdated faster than they can be prepared.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.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
LowMediumMediumHigh
Timedifferent
30–45 min30-90 min15-60 min je Zyklus1-4 Wochen
Participantsdifferent
1-101-61-86-30 Experten
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
HMW Questions, Challenge Framing, Idea PromptsDecision Tree, Option Map, Assumption ListSituation Assessment, Decision Loop, Action UpdatesExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
FramingOpportunityIdeationQuestions
DecisionTreeOptions
DecisionChangeLearningStrategy
ForecastingExpertsDecisionStrategy
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