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Criterion
How Might We
Innovation
How Might We
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
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.In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.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
LowLowLowHigh
Timedifferent
30–45 min20–45 min1-5 Tage1-4 Wochen
Participantsdifferent
1-10Small cross-functional groupNutzertraffic1-6
Formatdifferent
Workshop + asyncWorkshopAsyncAsync
Outputdifferent
HMW Questions, Challenge Framing, Idea PromptsRisk list, Mitigation plan, Assumption logInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tagsno overlap
FramingOpportunityIdeationQuestions
RiskDecisionFailurePlanning
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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