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Criterion
How Might We
Innovation
How Might We
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
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.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
LowMediumMediumHigh
Timedifferent
30–45 min60-120 minMultiple workshops over several weeks1-4 Wochen
Participantsdifferent
1-103-82-81-6
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncAsync
Outputdifferent
HMW Questions, Challenge Framing, Idea PromptsFlywheel Map, Friction Points, Growth Levers, Experiment BacklogHooked loop, Trigger map, Reward design, Ethics checkExperiment results, Decision log, Learning summary
Tagsno overlap
FramingOpportunityIdeationQuestions
GrowthRetentionConversion
GrowthBehaviorRetention
ExperimentsGrowthAnalyticsValidation
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