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Criterion
Paper illustration for Option Framing.
Decision Making
Option Framing
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Purposedifferent
In early decisions, alternatives are often still vague, incomplete, or blended together. Option Framing brings every possibility into a comparable form and makes visible which variant actually fits the question.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.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.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.
Complexitydifferent
MediumLowLowMedium
Timedifferent
45-120 min30-60 min1-2 h45-75 min
Participantsdifferent
3-81-52-82-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Option Frames, Assumption Notes, Comparable Shortlist, Decision InputsCompleted Experiment Canvas, Success MetricDIBB document, Belief list, Bet list, Learning reportTest Matrix, Test Plan
Tagsno overlap
OptionsDecision framingStrategyComparison
ExperimentsValidationDiscoveryHypothesis
StrategyDecisionAssumptionsHypothesis
ExperimentsValidationDiscoveryOptions
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