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| Criterion |  Product Discovery Outcome-Driven Innovation |  Product Strategy RICE Scoring |  Decision Making Trade-off Analysis |  Product Strategy ICE Scoring |
|---|---|---|---|---|
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 many initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable. | With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects. | 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. |
Complexitydifferent | High | Medium | Medium | Low |
Timedifferent | Mehrere Wochen | 60-90 min | 45-120 min | 30-60 min |
Participantsdifferent | 2-6 researchers plus sample | 2-10 | 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 | RICE Scores, Ranked List, Assumption Log | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides | ICE Table, Top Idea List |
Tagsno overlap | OutcomesInnovationResearchQuantitative | PrioritizationScoringRoadmapTradeoffs | TradeoffsDecisionCriteriaOptions | PrioritizationScoringGrowthDecision |