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Criterion
Surveys method illustration showing its working structure
UX Research
Surveys
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: scenarios and architectural decisions are connected to identified risks.
Architecture
ATAM (Architecture Tradeoff Analysis Method)
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Purposedifferent
When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal.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.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.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.
Complexitydifferent
MediumHighHighHigh
Timedifferent
3-14 Tage1 Tag bis mehrere WochenSeveral meetings plus preparation and analysis; total effort depends on scopeMehrere Wochen
Participantsdifferent
50+4-10Evaluation team, architects, and relevant stakeholders2-6 researchers plus sample
Formatdifferent
AsyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Survey Results, Charts, Segment InsightsProblem Statement, Prototype, Test LearningsPrioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigationsDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses
Tagsno overlap
QuantitativeResearchValidation
InnovationPrototypeResearch
ArchitectureQualityRiskTradeoffsStakeholders
OutcomesInnovationResearchQuantitative
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