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Criterion
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.
Complexitydifferent
LowHighLowLow
Timedifferent
25-40 min1-4 Wochen30-60 min1-2 h
Participantsdifferent
1-56-30 Experten1-52-8
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Learning Card with evidence and next actionExpert Forecast, Consensus Range, Assumption NotesCompleted Experiment Canvas, Success MetricDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
ExperimentsValidationDiscoveryLearning
ForecastingExpertsDecisionStrategy
ExperimentsValidationDiscoveryHypothesis
StrategyDecisionAssumptionsHypothesis
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