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| Criterion |  Product Discovery Outcome-Driven Innovation |  Decision Making Pre-Mortem |  UX Research Surveys |  Decision Making Constraint 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. | In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures. | When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. |
Complexitydifferent | High | Low | Medium | Low |
Timedifferent | Mehrere Wochen | 20–45 min | 3-14 Tage | 30-90 min |
Participantsdifferent | 2-6 researchers plus sample | Small cross-functional group | 50+ | 2-8 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Risk list, Mitigation plan, Assumption log | Survey Results, Charts, Segment Insights | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | OutcomesInnovationResearchQuantitative | RiskDecisionFailurePlanning | QuantitativeResearchValidation | ConstraintsDecisionPlanningOptions |