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| Criterion | ![]() Product Discovery Outcome-Driven Innovation | ![]() Innovation Design Sprint | ![]() Systems Thinking Current Reality Tree | ![]() Operations Causal Factor 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. | 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. | A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once. | For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. |
Complexitysame | High | High | High | High |
Timedifferent | Mehrere Wochen | 4-5 Tage | 2-6 h | 2-6 h |
Participantsdifferent | 2-6 researchers plus sample | 5-8 | 3-8 | 3-10 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Prototype, Test Findings, Decision Rationale | Current Reality Tree, Core Problems, Intervention Ideas | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | OutcomesInnovationResearchQuantitative | Design sprintPrototypeValidationInnovation | Systems thinkingRoot causeConstraintsCausality | CausalityIncidentRoot causeTimeline |



