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Criterion
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration of Hooked Model with its method-specific working model.
Growth
Hooked Model
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Flywheel.
Growth
Flywheel
Purposedifferent
A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes.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 knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.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.
Complexitydifferent
HighMediumHighMedium
Timedifferent
1-4 h or multiple roundsMultiple workshops over several weeks1-4 Wochen60-120 min
Participantsdifferent
4-12 Experten2-86-30 Experten3-8
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop
Outputdifferent
Estimate Range, Assumption Log, Expert Consensus NotesHooked loop, Trigger map, Reward design, Ethics checkExpert Forecast, Consensus Range, Assumption NotesFlywheel Map, Friction Points, Growth Levers, Experiment Backlog
Tagsno overlap
EstimationExpertsForecasting
GrowthBehaviorRetention
ForecastingExpertsDecisionStrategy
GrowthRetentionConversion
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