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| Criterion | ![]() Operations Time Blocking | ![]() UX Research User Interviews | ![]() Product Discovery Opportunity Solution Tree | ![]() Operations ALPEN Method |
|---|---|---|---|---|
Purposedifferent | 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 teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible. | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | 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 | Low | Low | Medium | Low |
Timedifferent | 15-30 min Planung, laufend | 30–60 min per interview | 1-2 h Setup, laufend | 10-20 min daily |
Participantsdifferent | 1 | 1 participant per interview | 2-6 | 1 |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Blocked Calendar, Capacity View, Focus Plan | Interview Notes, Themes, Insight Summary | Opportunity Solution Tree, Experiment Backlog, Learning Log | Daily Plan, Time Estimates, Review Notes |
Tagsno overlap | PlanningTime managementFocus | QualitativeResearchCustomerDiscovery | DiscoveryOutcomesExperimentsOpportunity | PlanningTime managementProductivityOperations |



