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Criterion
Paper illustration of the Lightning Decision Jam working structure.
Facilitation
Decision Jam
Paper illustration of Hooked Model with its method-specific working model.
Growth
Hooked Model
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
When a decision is stuck, Decision Jam loosens the knot through structured separation of problem, idea, and selection. The format creates movement without jumping prematurely at the first seemingly elegant answer.The Hooked Model helps clarify engagement loops, user behavior, and experiments. It makes repeat behavior measurable and captures the result as a hooked loop, trigger map, and reward design.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.When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.
Complexitydifferent
LowMediumLowHigh
Timedifferent
60-90 minMultiple workshops over several weeks30-60 min1-4 Wochen
Participantsdifferent
4-102-81-51-6
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Problem Cluster, Prioritized Challenge, ExperimentHooked loop, Trigger map, Reward design, Ethics checkCompleted Experiment Canvas, Success MetricExperiment results, Decision log, Learning summary
Tagsno overlap
FacilitationDecisionProblem solvingWorkshop
GrowthBehaviorRetention
ExperimentsValidationDiscoveryHypothesis
ExperimentsGrowthAnalyticsValidation
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