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Criterion
Paper illustration of a scoring table with four factor columns, a calculator and three ordered initiative cards.
Product Strategy
RICE Scoring
Paper illustration for Solution Interview
Product Discovery
Solution Interview
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 a decision table with criteria rows, weighted ratings, and a narrowly leading alternative.
Decision Making
Decision Matrix
Purposedifferent
When many initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable.When a solution idea is already on the table, it checks how it is understood and evaluated. It looks for resonance, objections, and missing fit early in the conversation.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.When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic.
Complexitydifferent
MediumMediumHighMedium
Timedifferent
60-90 min30-60 min je Interview1 Tag bis mehrere Wochen45-90 min
Participantsdifferent
2-105-10 Interviews4-102-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
RICE Scores, Ranked List, Assumption LogSolution Feedback, Objection List, Validation NotesProblem Statement, Prototype, Test LearningsDecision Matrix, Scoring Rationale, Selected Option
Tagsno overlap
PrioritizationScoringRoadmapTradeoffs
ValidationInterviewsPrototype
InnovationPrototypeResearch
DecisionCriteriaScoringTradeoffs
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