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Criterion
Paper illustration of a JTBD interview notebook with a decision timeline, forces of change and a concise job hypothesis.
Product Discovery
Jobs to Be Done
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Purposedifferent
When switching motives and progress are unclear, it reconstructs the situation from real customer circumstances. It shows why a switch happens and what kind of progress is being sought.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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.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
MediumHighLowLow
Timedifferent
1-3 Wochen1-4 Wochen1-5 Tage30-60 min
Participantsdifferent
5-12 Interviews1-6Nutzertraffic1-5
Formatdifferent
Workshop + asyncAsyncAsyncWorkshop + async
Outputdifferent
Job Stories, Outcome Statements, Opportunity ListExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning NoteCompleted Experiment Canvas, Success Metric
Tagsno overlap
CustomerOutcomesNeeds
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
ExperimentsValidationDiscoveryHypothesis
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