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| Criterion |  Product Discovery Outcome-Driven Innovation |  Systems Thinking Iceberg Model |  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. | The Iceberg Model separates visible events from patterns, structures, and mental models. This turns a single observation into a deeper understanding of why a problem keeps recurring. | 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. |
Complexitydifferent | High | Low | High |
Timedifferent | Mehrere Wochen | 30-60 min | 2-6 h |
Participantsdifferent | 2-6 researchers plus sample | 2-10 | 3-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Iceberg Worksheet, Pattern Notes, Intervention Ideas | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | OutcomesInnovationResearchQuantitative | Systems thinkingRoot causePatterns | CausalityIncidentRoot causeTimeline |
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