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Criterion
A paper-based illustration representing Design Sprint with its core stages and visible working result.
Innovation
Design Sprint
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs.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
HighMediumHighHigh
Timedifferent
4-5 Tage45-60 minMehrere Wochen1-4 Wochen
Participantsdifferent
5-82-82-6 researchers plus sample1-6
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Prototype, Test Findings, Decision RationaleAssumption map, Test backlog, Risk rankingDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesExperiment results, Decision log, Learning summary
Tagsno overlap
Design sprintPrototypeValidationInnovation
AssumptionsRiskExperimentsValidation
OutcomesInnovationResearchQuantitative
ExperimentsGrowthAnalyticsValidation
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