methodatlas
Compare

View methods side by side.

Choose up to four methods. Add them using the search and share the comparison by copying its link.

Criterion
Paper illustration of ICE Scoring with its method-specific working model.
Product Strategy
ICE Scoring
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
When ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list.When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.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
30-60 min1-5 Tage25-40 min1-4 Wochen
Participantsdifferent
2-8Nutzertraffic1-51-6
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
ICE Table, Top Idea ListClick Data, Interest Signal, Learning DecisionLearning Card with evidence and next actionExperiment results, Decision log, Learning summary
Tagsno overlap
PrioritizationScoringGrowthDecision
ValidationExperimentsDemandDiscovery
ExperimentsValidationDiscoveryLearning
ExperimentsGrowthAnalyticsValidation
Add more methods