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 DMAIC.
Operations
DMAIC
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
For a process problem with fluctuating performance, the method brings analysis and improvement into a disciplined sequence. It creates a framework in which numbers, causes, and control come together.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.Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it.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
HighMediumLowHigh
Timedifferent
2-12 Wochen1-3 h45-90 min1-4 Wochen
Participantsdifferent
3-101-52-81-6
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
Project Charter, Measurement Plan, Cause Analysis, Control PlanFunnel report, Drop-off analysis, Optimization hypothesesAssumption List, Critical Assumptions, Learning PlanExperiment results, Decision log, Learning summary
Tagsno overlap
Continuous improvementQualityProcess improvement
AnalyticsConversionGrowth
AssumptionsRiskDecisionDiscovery
ExperimentsGrowthAnalyticsValidation
Add more methods