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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Purposedifferent
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.When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog.In dynamic situations, decisions become outdated faster than they can be prepared.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
HighMediumMedium
Timedifferent
1-4 Wochen60-90 min15-60 min je Zyklus
Participantsdifferent
6-30 Experten3-81-8
Formatdifferent
AsyncWorkshopWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesPrioritization Canvas, Hypothesis BacklogSituation Assessment, Decision Loop, Action Updates
Tagsno overlap
ForecastingExpertsDecisionStrategy
ExperimentsPrioritizationDiscoveryHypothesis
DecisionChangeLearningStrategy
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Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card