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Criterion
How Might We
Innovation
How Might We
Paper illustration for Argument Mapping
Decision Making
Argument Mapping
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
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.When statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on.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
30–45 min1-3 h1-4 Wochen30-60 min
Participantsdifferent
1-101-81-61-5
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
HMW Questions, Challenge Framing, Idea PromptsArgument Map, Evidence Gaps, Decision RationaleExperiment results, Decision log, Learning summaryCompleted Experiment Canvas, Success Metric
Tagsno overlap
FramingOpportunityIdeationQuestions
SensemakingDecisionRationale
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryHypothesis
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