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| Criterion |  Operations ALPEN Method |  Product Discovery Concierge MVP |  Decision Making Constraint Analysis |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | 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 an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution. | 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. | 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 | Low | Medium | Low | Low |
Timedifferent | 10-20 min daily | 1-4 Wochen | 30-90 min | 30-60 min |
Participantsdifferent | 1 | 3-10 Kunden | 2-8 | 1-5 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Daily Plan, Time Estimates, Review Notes | Concierge Learnings, Service Blueprint, MVP Risks | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Completed Experiment Canvas, Success Metric |
Tagsno overlap | PlanningTime managementProductivityOperations | MVPValidationServiceDiscovery | ConstraintsDecisionPlanningOptions | ExperimentsValidationDiscoveryHypothesis |