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| Criterion |  Agile Ideal Days |  Product Strategy GIST Planning |  Product Discovery Opportunity Solution Tree |  Agile T-Shirt Sizing |
|---|---|---|---|---|
Purposedifferent | When effort needs to be thought of as real working time, it offers a simple common denominator for comparison. It sorts work by value, risk, and delivery ability. The result is captured as Ideal Day Estimates, Assumption Notes, and Capacity Caveats. | GIST Planning helps clarify target groups, value, goals, and priorities. It links customer value, product logic, and decision priorities, and captures the result as goals, an idea bank, and a step-project list. | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | When effort only needs to be classified roughly, it makes comparability more important than false precision. It helps sort work quickly into manageable sizes. |
Complexitydifferent | Low | Medium | Medium | Low |
Timedifferent | 15-60 min | Wochen bis Monate je Goal | 1-2 h Setup, laufend | 15-45 min |
Participantsdifferent | 2-9 | 3-10 | 2-6 | 2-12 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Ideal Day Estimates, Assumption Notes, Capacity Caveats | Goals, Idea bank, Step-project list, Tasks, Learning reports | Opportunity Solution Tree, Experiment Backlog, Learning Log | Size Buckets, Rough Backlog Map, Split Candidates |
Tagsno overlap | EstimationEffortAgile | RoadmapOutcomesPlanningExperiments | DiscoveryOutcomesExperimentsOpportunity | EstimationAgileRoadmap |