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| Criterion | ![]() Product Discovery Concierge MVP | ![]() Engineering Golden Path | ![]() Operations ALPEN Method | ![]() Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | 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 teams need a reliable default path for frequent use, sprawl quickly emerges without any guiding logic. Golden Path bundles the preferred path so good practice becomes easy and deviation becomes deliberate. | 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 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 | Low | Low |
Timedifferent | 1-4 Wochen | 1-3 Tage Setup, laufend | 10-20 min daily | 30-60 min |
Participantsdifferent | 3-10 Kunden | 2-8 | 1 | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | Golden Path Guide, Templates, Quality Checks | Daily Plan, Time Estimates, Review Notes | Completed Experiment Canvas, Success Metric |
Tagsno overlap | MVPValidationServiceDiscovery | EngineeringProductivityGovernance | PlanningTime managementProductivityOperations | ExperimentsValidationDiscoveryHypothesis |



