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Criterion
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
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 with architecture components and concrete change tasks for comparison.
Architecture
SAAM (Software Architecture Analysis Method)
A paper-based illustration representing Design Sprint with its core stages and visible working result.
Innovation
Design Sprint
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.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.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.When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess.
Complexitysame
HighHighHighHigh
Timedifferent
Mehrere Wochen1 Tag bis mehrere WochenPreparation, scenario analysis, and findings review; effort depends on scope4-5 Tage
Participantsdifferent
2-6 researchers plus sample4-10Architecture experts and stakeholders for scenarios and weighting5-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesProblem Statement, Prototype, Test LearningsDomain functions mapped to components and connections, Quality attributes and evaluation criteria, Typical tasks and their effects on the architecture, Reasoned evaluation or comparison of alternativesPrototype, Test Findings, Decision Rationale
Tagsno overlap
OutcomesInnovationResearchQuantitative
InnovationPrototypeResearch
ArchitectureChangeAnalysisComparisonQuality
Design sprintPrototypeValidationInnovation
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