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| Criterion |  Product Strategy ICE Scoring |  Operations After-Action Review |  Operations ABC Analysis |  Growth Growth Experiment |
|---|---|---|---|---|
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. | After missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement. | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. | When growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. |
Complexitydifferent | Low | Low | Low | Medium |
Timedifferent | 30-60 min | 20-45 min | 30-60 min | 1-2 Wochen |
Participantsdifferent | 2-8 | 3-12 | 1-5 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | ICE Table, Top Idea List | Lessons learned, Action items, Event summary | ABC Classification, Focus Rules, Control List | Experiment card, Result summary, Next bet |
Tagsno overlap | PrioritizationScoringGrowthDecision | LearningOperationsImprovement | PrioritizationOperationsPortfolio | MarketingGrowthExperimentsLearning |