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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for ALPEN Method
Operations
ALPEN Method
Paper illustration for Flywheel.
Growth
Flywheel
Paper illustration of Hooked Model with its method-specific working model.
Growth
Hooked Model
Purposedifferent
For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time.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.
Complexitydifferent
MediumLowMediumMedium
Timedifferent
30-90 min10-20 min daily60-120 minMultiple workshops over several weeks
Participantsdifferent
1-613-82-8
Formatdifferent
Workshop + asyncAsyncWorkshopWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListDaily Plan, Time Estimates, Review NotesFlywheel Map, Friction Points, Growth Levers, Experiment BacklogHooked loop, Trigger map, Reward design, Ethics check
Tagsno overlap
DecisionTreeOptions
PlanningTime managementProductivityOperations
GrowthRetentionConversion
GrowthBehaviorRetention
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