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Criterion
Paper illustration for Time Blocking
Operations
Time Blocking
Paper illustration of a branching impact map with a Why goal at the root, actor circles, How behavior changes and What options.
Product Strategy
Impact Mapping
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
With a calendar that grows on request, the method makes available time explicit again. It combines appointments, focus work, and buffer into a more realistic day structure.When a goal needs to be connected to several possible paths, it shows chains of impact instead of feature lists. It connects business goal, behavior change, and measures.When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses.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
15-30 min Planung, laufend45-90 min1-3 h1-4 Wochen
Participantsdifferent
13-81-51-6
Formatdifferent
AsyncWorkshopAsyncAsync
Outputdifferent
Blocked Calendar, Capacity View, Focus PlanImpact Map, Outcome Hypotheses, Delivery OptionsFunnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summary
Tagsno overlap
PlanningTime managementFocus
OutcomesStrategyBehaviorPlanning
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
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