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| Criterion |  UX Research Customer Journey Mapping |  Operations Time Blocking |  Product Discovery Hypothesis Prioritization Canvas |  Operations ALPEN Method |
|---|---|---|---|---|
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. | With a calendar that grows on request, the method makes available time explicit again. It combines appointments, focus work, and buffer into a more realistic day structure. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | 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. |
Complexitydifferent | Medium | Low | Medium | Low |
Timedifferent | 2-4 h | 15-30 min Planung, laufend | 60-90 min | 10-20 min daily |
Participantsdifferent | 4-10 | 1 | 3-8 | 1 |
Formatdifferent | Workshop | Async | Workshop | Async |
Outputdifferent | Journey Map, Pain-point List, Opportunity Backlog | Blocked Calendar, Capacity View, Focus Plan | Prioritization Canvas, Hypothesis Backlog | Daily Plan, Time Estimates, Review Notes |
Tagsno overlap | JourneyServiceService design | PlanningTime managementFocus | ExperimentsPrioritizationDiscoveryHypothesis | PlanningTime managementProductivityOperations |