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Criterion
Paper illustration of the Lightning Decision Jam working structure.
Facilitation
Decision Jam
Paper illustration for Hypothesis-Driven Troubleshooting.
Engineering
Hypothesis-Driven Troubleshooting
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
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.When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable.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.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.
Complexitydifferent
LowMediumHighLow
Timedifferent
60-90 min30-240 min1-4 Wochen30-60 min
Participantsdifferent
4-101-61-61-5
Formatdifferent
WorkshopWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Problem Cluster, Prioritized Challenge, ExperimentHypothesis Log, Test Plan, Evidence Notes, Diagnosis SummaryExperiment results, Decision log, Learning summaryCompleted Experiment Canvas, Success Metric
Tagsno overlap
FacilitationDecisionProblem solvingWorkshop
TroubleshootingProblem solvingDiagnosis
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryHypothesis
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