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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 for Flywheel.
Growth
Flywheel
Paper illustration of Hooked Model with its method-specific working model.
Growth
Hooked Model
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.Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth.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 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 h60-120 minMultiple workshops over several weeks1-4 Wochen
Participantsdifferent
2-103-82-81-6
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncAsync
Outputdifferent
Radar Map, Capability Scores, Action AreasFlywheel Map, Friction Points, Growth Levers, Experiment BacklogHooked loop, Trigger map, Reward design, Ethics checkExperiment results, Decision log, Learning summary
Tagsno overlap
AssessmentPortfolioCapability
GrowthRetentionConversion
GrowthBehaviorRetention
ExperimentsGrowthAnalyticsValidation
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