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Criterion
Paper illustration for ALPEN Method
Operations
ALPEN Method
Paper illustration of a branching tree with an outcome at its root, customer opportunities, solution options and small experiment cards.
Product Discovery
Opportunity Solution Tree
Design Thinking as a learning loop: an observation notebook, a focused problem statement, different idea sketches, a cardboard prototype and user-test notes. Feedback leads to new understanding.
Innovation
Design Thinking
Paper illustration of GIST Planning with its method-specific working model.
Product Strategy
GIST Planning
Purposedifferent
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.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.For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service.GIST Planning helps clarify target groups, value, goals, and priorities. It links customer value, product logic, and decision priorities, and captures the result as goals, an idea bank, and a step-project list.
Complexitydifferent
LowMediumHighMedium
Timedifferent
10-20 min daily1-2 h Setup, laufend1 Tag bis mehrere WochenWochen bis Monate je Goal
Participantsdifferent
12-64-103-10
Formatdifferent
AsyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Daily Plan, Time Estimates, Review NotesOpportunity Solution Tree, Experiment Backlog, Learning LogProblem Statement, Prototype, Test LearningsGoals, Idea bank, Step-project list, Tasks, Learning reports
Tagsno overlap
PlanningTime managementProductivityOperations
DiscoveryOutcomesExperimentsOpportunity
InnovationPrototypeResearch
RoadmapOutcomesPlanningExperiments
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