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| Criterion |  UX Research Customer Journey Mapping |  UX Research Affinity Diagramming |  Product Discovery Experiment Canvas |  Product Discovery Concierge MVP |
|---|---|---|---|---|
Purposedifferent | When a user journey falls apart across many touchpoints, customer journey mapping makes the experience visible as a coherent arc. Phases, emotions, and breaks become legible enough to prioritize critical moments deliberately. | When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | 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. | 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. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | 2-4 h | 45–90 min | 30-60 min | 1-4 Wochen |
Participantsdifferent | 4-10 | 3-10 | 1-5 | 3-10 Kunden |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Journey Map, Pain-point List, Opportunity Backlog | Theme clusters, Insight statements, Opportunity areas | Completed Experiment Canvas, Success Metric | Concierge Learnings, Service Blueprint, MVP Risks |
Tagsno overlap | JourneyServiceService design | SynthesisQualitativeRoot cause | ExperimentsValidationDiscoveryHypothesis | MVPValidationServiceDiscovery |