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| Criterion | ![]() Product Discovery User Story Mapping | ![]() Operations ALPEN Method | ![]() Operations PDCA Cycle |
|---|---|---|---|
Purposedifferent | When user goals and delivery scope could drift apart, it orders the journey from goal to slice. It makes visible where an MVP can genuinely be cut. | 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. | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. |
Complexitydifferent | Medium | Low | Low |
Timedifferent | 2-4 h | 10-20 min daily | 1 h bis mehrere Wochen |
Participantsdifferent | 4-10 | 1 | 1-8 |
Formatdifferent | Workshop | Async | Workshop + async |
Outputdifferent | Story Map, Release Slices, Backlog Candidates | Daily Plan, Time Estimates, Review Notes | PDCA Log, Experiment Plan, Learning Outcome, Standard Change |
Tagsno overlap | BacklogJourneyPlanningMVP | PlanningTime managementProductivityOperations | Continuous improvementLeanExperiments |
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Methods with strong topical overlap with the current selection, not yet in the comparison.






