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Criterion
How Might We
Innovation
How Might We
Paper illustration for Knowledge Mapping.
Knowledge Modeling
Knowledge Mapping
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
With a stuck problem carrying many implicit assumptions, the method translates observations into open, workable questions. It sharpens the problem frame without pre-thinking the solution, turning frustration or fuzziness into a search space with clear direction.Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable.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 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
30–45 min1-3 h1-5 Tage1-4 Wochen
Participantsdifferent
1-103-12Nutzertraffic1-6
Formatdifferent
Workshop + asyncWorkshopAsyncAsync
Outputdifferent
HMW Questions, Challenge Framing, Idea PromptsKnowledge Map, Critical Knowledge Areas, Transfer PlanInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tagsno overlap
FramingOpportunityIdeationQuestions
KnowledgeMappingRisk
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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