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| Criterion |  Product Strategy ICE Scoring |  Product Discovery Outcome-Driven Innovation |  Decision Making Constraint Analysis |  Innovation Design Thinking |
|---|---|---|---|---|
Purposedifferent | 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. | 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 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. | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. |
Complexitydifferent | Low | High | Low | High |
Timedifferent | 30-60 min | Mehrere Wochen | 30-90 min | 1 Tag bis mehrere Wochen |
Participantsdifferent | 2-8 | 2-6 researchers plus sample | 2-8 | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | ICE Table, Top Idea List | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | PrioritizationScoringGrowthDecision | OutcomesInnovationResearchQuantitative | ConstraintsDecisionPlanningOptions | InnovationPrototypeResearch |