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Criterion
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Paper illustration with architecture components and concrete change tasks for comparison.
Architecture
SAAM (Software Architecture Analysis Method)
Design Thinking as a learning loop: an observation notebook, a focused problem statement, different idea sketches, a cardboard prototype and user-test notes. Feedback leads to new understanding.
Innovation
Design Thinking
Paper illustration for Change Analysis.
Operations
Change Analysis
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.SAAM helps teams judge an architecture’s suitability for selected tasks and changes. It is particularly useful for examining modifiability and comparing architecture alternatives with clear reasoning.For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service.For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise.
Complexitydifferent
HighHighHighMedium
Timedifferent
Mehrere WochenPreparation, scenario analysis, and findings review; effort depends on scope1 Tag bis mehrere Wochen45-120 min
Participantsdifferent
2-6 researchers plus sampleArchitecture experts and stakeholders for scenarios and weighting4-102-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesDomain functions mapped to components and connections, Quality attributes and evaluation criteria, Typical tasks and their effects on the architecture, Reasoned evaluation or comparison of alternativesProblem Statement, Prototype, Test LearningsChange Matrix, Cause Hypotheses, Validation Questions, Action List
Tagsno overlap
OutcomesInnovationResearchQuantitative
ArchitectureChangeAnalysisComparisonQuality
InnovationPrototypeResearch
ChangeRoot causeTroubleshootingComparison
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