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| Criterion |  Product Discovery Outcome-Driven Innovation |  Operations 5 Whys |  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. | 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. | 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 | 15-30 min | 2-6 h |
Participantsdifferent | 2-6 researchers plus sample | 2-6 | 3-10 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Root cause notes, Countermeasures | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | OutcomesInnovationResearchQuantitative | Root causeIncidentLeanProblem solving | CausalityIncidentRoot causeTimeline |
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