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Criterion
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Purposedifferent
When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes.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.When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan.When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.
Complexitydifferent
MediumLowMediumLow
Timedifferent
30-90 min30-90 min45-75 min30-60 min
Participantsdifferent
3-122-82-81-5
Formatdifferent
WorkshopWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Affinity Size Map, Grouped Estimates, Unclear ItemsConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesTest Matrix, Test PlanCompleted Experiment Canvas, Success Metric
Tagsno overlap
EstimationBacklogRelative sizing
ConstraintsDecisionPlanningOptions
ExperimentsValidationDiscoveryOptions
ExperimentsValidationDiscoveryHypothesis
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