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Criterion
Paper illustration of Working Backwards with its method-specific working model.
Product Discovery
Working Backwards
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Purposedifferent
When the target state and benefit need to be clear first, it thinks backward from the desired outcome into the product logic. It sharpens vision, objections, and value proposition before elaboration.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 many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses.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.
Complexitydifferent
MediumHighMediumLow
Timedifferent
4-8 h, mehrere Iterationen1-4 Wochen1-3 h1-5 Tage
Participantsdifferent
2-61-61-5Nutzertraffic
Formatdifferent
Workshop + asyncAsyncAsyncAsync
Outputdifferent
Future Press Release, FAQ, Vision StatementExperiment results, Decision log, Learning summaryFunnel report, Drop-off analysis, Optimization hypothesesInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
VisionNarrativeAlignment
ExperimentsGrowthAnalyticsValidation
AnalyticsConversionGrowth
ValidationExperimentsDemandGrowth
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