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Selected:Outcome-Driven InnovationATAM (Architecture Tradeoff Analysis Method)LASR (Lightweight Approach for Software Reviews)Design Thinking
| Criterion | ![]() Product Discovery Outcome-Driven Innovation | ![]() Architecture ATAM (Architecture Tradeoff Analysis Method) | ![]() Architecture LASR (Lightweight Approach for Software Reviews) | ![]() Innovation Design Thinking |
|---|---|---|---|---|
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. | 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. | 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. |
Complexitydifferent | High | High | Medium | High |
Timedifferent | Mehrere Wochen | Several meetings plus preparation and analysis; total effort depends on scope | 3–4 h for initial assessment; preparation and deeper analysis additional | 1 Tag bis mehrere Wochen |
Participantsdifferent | 2-6 researchers plus sample | Evaluation team, architects, and relevant stakeholders | 1 or a small team; particularly suitable for 3–4 people | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Prioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigations | Lean 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 | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | OutcomesInnovationResearchQuantitative | ArchitectureQualityRiskTradeoffsStakeholders | ArchitectureQualityRiskAssessmentLean | InnovationPrototypeResearch |



