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| Criterion |  Product Discovery Outcome-Driven Innovation |  Product Strategy ICE Scoring |  Decision Making Constraint Analysis |  Decision Making Decision Matrix |
|---|---|---|---|---|
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 ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. | 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. | When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. |
Complexitydifferent | High | Low | Low | Medium |
Timedifferent | Mehrere Wochen | 30-60 min | 30-90 min | 45-90 min |
Participantsdifferent | 2-6 researchers plus sample | 2-8 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | ICE Table, Top Idea List | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Decision Matrix, Scoring Rationale, Selected Option |
Tagsno overlap | OutcomesInnovationResearchQuantitative | PrioritizationScoringGrowthDecision | ConstraintsDecisionPlanningOptions | DecisionCriteriaScoringTradeoffs |