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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
Paper illustration for Flywheel.
Growth
Flywheel
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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.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 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.
Complexitydifferent
HighMediumMediumHigh
Timedifferent
1-4 h or multiple roundsMultiple workshops over several weeks60-120 min1-4 Wochen
Participantsdifferent
4-12 Experten2-83-86-30 Experten
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopAsync
Outputdifferent
Estimate Range, Assumption Log, Expert Consensus NotesHooked loop, Trigger map, Reward design, Ethics checkFlywheel Map, Friction Points, Growth Levers, Experiment BacklogExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
EstimationExpertsForecasting
GrowthBehaviorRetention
GrowthRetentionConversion
ForecastingExpertsDecisionStrategy
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