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Criterion
Paper illustration of Shape Up with its method-specific working model.
Delivery
Shape Up
Paper illustration of two people facing each other, speech bubbles and an open interview notebook.
UX Research
User Interviews
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Purposedifferent
Shape Up helps clarify scope, sequence, and delivery flow. It makes work boundaries and decisions explicit and captures results as pitches, bet-table decisions, and hill charts.When teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible.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 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
MediumLowMediumLow
Timedifferent
6 Wochen Cycle + 2 Wochen Cool-Down30–60 min per interview30-90 min30-90 min
Participantsdifferent
2-4 pro Pitch1 participant per interview1-62-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Pitches, Bet-table decisions, Hill charts, Cooldown outcomesInterview Notes, Themes, Insight SummaryDecision Tree, Option Map, Assumption ListConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tagsno overlap
PlanningDeliveryAutonomy
QualitativeResearchCustomerDiscovery
DecisionTreeOptions
ConstraintsDecisionPlanningOptions
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