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Criterion
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
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
Paper illustration of GIST Planning with its method-specific working model.
Product Strategy
GIST Planning
Purposedifferent
Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs.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.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
HighLowMediumMedium
Timedifferent
Mehrere Wochen30-60 min60-90 minWochen bis Monate je Goal
Participantsdifferent
2-6 researchers plus sample2-82-103-10
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesICE Table, Top Idea ListRICE Scores, Ranked List, Assumption LogGoals, Idea bank, Step-project list, Tasks, Learning reports
Tagsno overlap
OutcomesInnovationResearchQuantitative
PrioritizationScoringGrowthDecision
PrioritizationScoringRoadmapTradeoffs
RoadmapOutcomesPlanningExperiments
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