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 Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration: scenarios and architectural decisions are connected to identified risks.
Architecture
ATAM (Architecture Tradeoff Analysis Method)
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Purposedifferent
Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs.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.ATAM helps teams weigh architecture decisions when quality goals compete. The team considers business goals, stakeholder expectations, and technical decisions together. The evaluation shows which risks need further investigation.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.
Complexitydifferent
HighHighHighLow
Timedifferent
Mehrere Wochen1-4 WochenSeveral meetings plus preparation and analysis; total effort depends on scope1-5 Tage
Participantsdifferent
2-6 researchers plus sample1-6Evaluation team, architects, and relevant stakeholdersNutzertraffic
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesExperiment results, Decision log, Learning summaryPrioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigationsInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
OutcomesInnovationResearchQuantitative
ExperimentsGrowthAnalyticsValidation
ArchitectureQualityRiskTradeoffsStakeholders
ValidationExperimentsDemandGrowth
Add more methods