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Criterion
How Might We
Innovation
How Might We
Paper illustration of Hooked Model with its method-specific working model.
Growth
Hooked Model
Paper illustration for Flywheel.
Growth
Flywheel
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
With a stuck problem carrying many implicit assumptions, the method translates observations into open, workable questions. It sharpens the problem frame without pre-thinking the solution, turning frustration or fuzziness into a search space with clear direction.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.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.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
LowMediumMediumHigh
Timedifferent
30–45 minMultiple workshops over several weeks60-120 min1-4 Wochen
Participantsdifferent
1-102-83-81-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopAsync
Outputdifferent
HMW Questions, Challenge Framing, Idea PromptsHooked loop, Trigger map, Reward design, Ethics checkFlywheel Map, Friction Points, Growth Levers, Experiment BacklogExperiment results, Decision log, Learning summary
Tagsno overlap
FramingOpportunityIdeationQuestions
GrowthBehaviorRetention
GrowthRetentionConversion
ExperimentsGrowthAnalyticsValidation
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