View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Engineering Golden Path |  Product Discovery Concierge MVP |  Product Discovery Problem Interview |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | 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. | 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 the picture of the problem still needs to become solid, it asks about real situations and consequences. It separates genuine suffering from mere interest in a solution. | 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 | 1-3 Tage Setup, laufend | 1-4 Wochen | 30-60 min je Interview | 30-60 min |
Participantsdifferent | 2-8 | 3-10 Kunden | 5-12 Interviews | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Golden Path Guide, Templates, Quality Checks | Concierge Learnings, Service Blueprint, MVP Risks | Problem Evidence, Risk Notes, Customer Segments | Completed Experiment Canvas, Success Metric |
Tagsno overlap | EngineeringProductivityGovernance | MVPValidationServiceDiscovery | DiscoveryInterviewsValidation | ExperimentsValidationDiscoveryHypothesis |