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Criterion
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Paper illustration: scenarios and architectural decisions are connected to identified risks.
Architecture
ATAM (Architecture Tradeoff Analysis Method)
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Four paper stations connect system purpose, quality goals, risk cards and focused investigation with a target and gap profile.
Architecture
LASR (Lightweight Approach for Software Reviews)
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.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 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.LASR helps development teams identify where their software falls short of important quality goals and which improvements to consider. A small group with existing system knowledge can make an initial assessment and investigate open questions in more detail.
Complexitydifferent
HighHighHighMedium
Timedifferent
Mehrere WochenSeveral meetings plus preparation and analysis; total effort depends on scope1-4 Wochen3–4 h for initial assessment; preparation and deeper analysis additional
Participantsdifferent
2-6 researchers plus sampleEvaluation team, architects, and relevant stakeholders1-61 or a small team; particularly suitable for 3–4 people
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesPrioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigationsExperiment results, Decision log, Learning summaryLean Mission Statement describing the software’s purpose, Prioritized quality goals and evaluation criteria, Risks and estimated gaps against quality goals, More closely examined findings and open checks
Tagsno overlap
OutcomesInnovationResearchQuantitative
ArchitectureQualityRiskTradeoffsStakeholders
ExperimentsGrowthAnalyticsValidation
ArchitectureQualityRiskAssessmentLean
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