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| Criterion |  Product Discovery Outcome-Driven Innovation |  Innovation Design Thinking |  Operations Root Cause Tree Analysis |  Operations 5 Whys |
|---|---|---|---|---|
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. | For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. |
Complexitydifferent | High | High | Medium | Low |
Timedifferent | Mehrere Wochen | 1 Tag bis mehrere Wochen | 1-3 h | 15-30 min |
Participantsdifferent | 2-6 researchers plus sample | 4-10 | 2-8 | 2-6 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Problem Statement, Prototype, Test Learnings | Cause Tree, Evidence Notes, Countermeasures | Root cause notes, Countermeasures |
Tagsno overlap | OutcomesInnovationResearchQuantitative | InnovationPrototypeResearch | Root causeTreeIncidentQuality | Root causeIncidentLeanProblem solving |