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 for PDCA Cycle.
Operations
PDCA Cycle
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Purposedifferent
For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode.When size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets.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 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
LowLowHighMedium
Timedifferent
1 h bis mehrere Wochen5-20 min1-4 Wochen1-5 Tage
Participantsdifferent
1-83-201-6Nutzertraffic
Formatdifferent
Workshop + asyncWorkshopAsyncAsync
Outputdifferent
PDCA Log, Experiment Plan, Learning Outcome, Standard ChangeEffort Heatmap, Risk Signals, Discussion TargetsExperiment results, Decision log, Learning summaryClick Data, Interest Signal, Learning Decision
Tagsno overlap
Continuous improvementLeanExperiments
EstimationEffortRisk
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandDiscovery
Add more methods