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Criterion
Paper illustration of two user profile cards with a goal, behavior evidence, and an open research question.
UX Research
Personas
Paper illustration of a decision table with criteria rows, weighted ratings, and a narrowly leading alternative.
Decision Making
Decision Matrix
Paper illustration of ICE Scoring with its method-specific working model.
Product Strategy
ICE Scoring
Paper illustration of a scoring table with four factor columns, a calculator and three ordered initiative cards.
Product Strategy
RICE Scoring
Purposedifferent
When target groups stay too vague and teams talk about the same people differently, personas create a shared, solid picture of usage. Condensed profiles make needs, contexts, and differences tangible enough for decisions.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.When ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list.When many initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable.
Complexitydifferent
MediumMediumLowMedium
Timedifferent
1-3 Tage45-90 min30-60 min60-90 min
Participantsdifferent
Internes Team2-82-82-10
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Persona Profiles, Needs Summary, Scenario NotesDecision Matrix, Scoring Rationale, Selected OptionICE Table, Top Idea ListRICE Scores, Ranked List, Assumption Log
Tagsno overlap
ResearchCustomerSynthesis
DecisionCriteriaScoringTradeoffs
PrioritizationScoringGrowthDecision
PrioritizationScoringRoadmapTradeoffs
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