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 Power-Interest Grid with a method-specific labelled workspace.
Facilitation
Power Interest Grid
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Purposedifferent
When many stakeholders compete for attention at once, the Power Interest Grid sorts them by influence and stake. It turns individual contributions into a visible selection. The result is captured as a Power Interest Grid and a stakeholder-specific strategy.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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.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.
Complexitydifferent
LowHighLowMedium
Timedifferent
30-60 min1-4 Wochen1-5 Tage1-5 Tage
Participantsdifferent
2-81-6NutzertrafficNutzertraffic
Formatdifferent
WorkshopAsyncAsyncAsync
Outputdifferent
Power Interest Grid, Strategy per StakeholderExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning NoteClick Data, Interest Signal, Learning Decision
Tagsno overlap
StakeholdersFacilitationAlignmentPlanning
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
ValidationExperimentsDemandDiscovery
Add more methods