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| Criterion | ![]() Agile NoEstimates | ![]() Product Strategy GIST Planning | ![]() Product Discovery Opportunity Solution Tree | ![]() Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. | 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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | laufend | Wochen bis Monate je Goal | 1-2 h Setup, laufend | 30-60 min |
Participantsdifferent | 2-12 | 3-10 | 2-6 | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Throughput Data, Flow Forecast, Slicing Rules | Goals, Idea bank, Step-project list, Tasks, Learning reports | Opportunity Solution Tree, Experiment Backlog, Learning Log | Completed Experiment Canvas, Success Metric |
Tagsno overlap | EstimationForecastingFlow | RoadmapOutcomesPlanningExperiments | DiscoveryOutcomesExperimentsOpportunity | ExperimentsValidationDiscoveryHypothesis |



