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| Criterion |  Product Discovery Outcome-Driven Innovation |  Operations Causal Factor Analysis |  Innovation Design Sprint |  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 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. | 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. | 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 | High | Low |
Timedifferent | Mehrere Wochen | 2-6 h | 4-5 Tage | 15-30 min |
Participantsdifferent | 2-6 researchers plus sample | 3-10 | 5-8 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Prototype, Test Findings, Decision Rationale | Root cause notes, Countermeasures |
Tagsno overlap | OutcomesInnovationResearchQuantitative | CausalityIncidentRoot causeTimeline | Design sprintPrototypeValidationInnovation | Root causeIncidentLeanProblem solving |