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| Criterion | ![]() Product Discovery Outcome-Driven Innovation | ![]() UX Design Lean UX Canvas | ![]() 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 Lean UX Canvas helps clarify user behavior, touchpoints, and concept decisions. It makes assumptions and desired outcomes visible and captures the result as a completed canvas, hypothesis list, and first experiment. | 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 | Medium | High |
Timedifferent | Mehrere Wochen | 2-3 h | 2-6 h |
Participantsdifferent | 2-6 researchers plus sample | 3-8 | 3-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Completed Lean UX Canvas, Hypothesis list, First experiment | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | OutcomesInnovationResearchQuantitative | CanvasHypothesisOutcomesDiscovery | CausalityIncidentRoot causeTimeline |
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Methods with strong topical overlap with the current selection, not yet in the comparison.






