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
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration of a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.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.The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success.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
MediumLowLowHigh
Timedifferent
30-90 min1-5 Tage20-35 min1-4 Wochen
Participantsdifferent
1-6Nutzertraffic1-51-6
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
Decision Tree, Option Map, Assumption ListInterest Metrics, Conversion Signal, Learning NoteTest Card with a pre-set thresholdExperiment results, Decision log, Learning summary
Tagsno overlap
DecisionTreeOptions
ValidationExperimentsDemandGrowth
ExperimentsValidationDiscoveryHypothesis
ExperimentsGrowthAnalyticsValidation
Add more methods