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Criterion
Paper illustration for TOWS Matrix.
Business Strategy
TOWS Matrix
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Purposedifferent
The TOWS Matrix connects internal strengths and weaknesses with external opportunities and threats into action-oriented strategies. It goes a step further than a pure stocktaking.Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication.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.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
MediumHighMediumHigh
Timedifferent
1-2 h30-90 min Setup, danach laufend30-90 min1-4 Wochen
Participantsdifferent
3-101-81-66-30 Experten
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
TOWS Matrix, Strategic Options, Priority ActionsForecast Percentiles, Throughput Dataset, Risk CommunicationDecision Tree, Option Map, Assumption ListExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
StrategyAnalysisOptions
ForecastingFlowDelivery
DecisionTreeOptions
ForecastingExpertsDecisionStrategy
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