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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
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.For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode.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.
Complexitydifferent
HighLowMedium
Timedifferent
1-4 Wochen1 h bis mehrere Wochen60-90 min
Participantsdifferent
6-30 Experten1-83-8
Formatdifferent
AsyncWorkshop + asyncWorkshop
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesPDCA Log, Experiment Plan, Learning Outcome, Standard ChangePrioritization Canvas, Hypothesis Backlog
Tagsno overlap
ForecastingExpertsDecisionStrategy
Continuous improvementLeanExperiments
ExperimentsPrioritizationDiscoveryHypothesis
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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 a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing