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Criterion
Paper radar with five axes, two current and target profiles, and evidence cards beside each dimension.
Decision Making
Radar
Paper illustration of Hooked Model with its method-specific working model.
Growth
Hooked Model
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
When capabilities, maturity levels, or market positions need to be compared across several dimensions, overview is easily lost. Radar brings different characteristics into a shared picture and shows patterns faster than tables do.The Hooked Model helps clarify engagement loops, user behavior, and experiments. It makes repeat behavior measurable and captures the result as a hooked loop, trigger map, and reward design.When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report.When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.
Complexitydifferent
MediumMediumMediumHigh
Timedifferent
1-2 hMultiple workshops over several weeks1-2 Wochen pro Iteration1-4 Wochen
Participantsdifferent
2-102-82-61-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Radar Map, Capability Scores, Action AreasHooked loop, Trigger map, Reward design, Ethics checkPrioritized Assumption List, Test Plan, Results ReportExperiment results, Decision log, Learning summary
Tagsno overlap
AssessmentPortfolioCapability
GrowthBehaviorRetention
ExperimentsValidationDiscoveryAssumptions
ExperimentsGrowthAnalyticsValidation
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