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| Criterion |  Product Discovery Outcome-Driven Innovation |  Innovation Design Sprint |  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. | 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 |
Timedifferent | Mehrere Wochen | 4-5 Tage | 2-6 h |
Participantsdifferent | 2-6 researchers plus sample | 5-8 | 3-10 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Prototype, Test Findings, Decision Rationale | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | OutcomesInnovationResearchQuantitative | Design sprintPrototypeValidationInnovation | CausalityIncidentRoot causeTimeline |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
