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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of a scoring table with four factor columns, a calculator and three ordered initiative cards.
Product Strategy
RICE Scoring
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Purposedifferent
Polarity Mapping makes tensions between two opposing poles tangible, such as standardization and adaptation or control and autonomy. The method guards against making apparent either-or decisions prematurely.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.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 an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.
Complexitydifferent
MediumMediumMediumLow
Timedifferent
1-2 h30-90 min60-90 min30-90 min
Participantsdifferent
3-121-62-102-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsDecision Tree, Option Map, Assumption ListRICE Scores, Ranked List, Assumption LogConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tagsno overlap
Systems thinkingTradeoffsLeadership
DecisionTreeOptions
PrioritizationScoringRoadmapTradeoffs
ConstraintsDecisionPlanningOptions
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