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| Criterion | ![]() Product Strategy Impact Mapping | ![]() Operations ALPEN Method | ![]() Product Discovery Opportunity Solution Tree | ![]() Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | When a goal needs to be connected to several possible paths, it shows chains of impact instead of feature lists. It connects business goal, behavior change, and measures. | With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time. | 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 | Low | Medium | Low |
Timedifferent | 45-90 min | 10-20 min daily | 1-2 h Setup, laufend | 30-60 min |
Participantsdifferent | 3-8 | 1 | 2-6 | 1-5 |
Formatdifferent | Workshop | Async | Workshop + async | Workshop + async |
Outputdifferent | Impact Map, Outcome Hypotheses, Delivery Options | Daily Plan, Time Estimates, Review Notes | Opportunity Solution Tree, Experiment Backlog, Learning Log | Completed Experiment Canvas, Success Metric |
Tagsno overlap | OutcomesStrategyBehaviorPlanning | PlanningTime managementProductivityOperations | DiscoveryOutcomesExperimentsOpportunity | ExperimentsValidationDiscoveryHypothesis |



