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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
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
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.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.When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.
Complexitydifferent
LowMediumHighMedium
Timedifferent
30–45 minMultiple workshops over several weeks1-4 Wochen1-5 Tage
Participantsdifferent
1-102-81-6Nutzertraffic
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncAsync
Outputdifferent
HMW Questions, Challenge Framing, Idea PromptsHooked loop, Trigger map, Reward design, Ethics checkExperiment results, Decision log, Learning summaryClick Data, Interest Signal, Learning Decision
Tagsno overlap
FramingOpportunityIdeationQuestions
GrowthBehaviorRetention
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandDiscovery
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