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Criterion
Paper illustration of Strategy Execution Loop with its method-specific working model.
Business Strategy
Strategy Execution Loop
Paper illustration: scenarios and architectural decisions are connected to identified risks.
Architecture
ATAM (Architecture Tradeoff Analysis Method)
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Purposedifferent
The Strategy Execution Loop helps avoid treating strategy as a one-off document. It makes visible how strategic decisions are turned into objectives, initiatives, operational work, measurement, and learning.ATAM helps teams weigh architecture decisions when quality goals compete. The team considers business goals, stakeholder expectations, and technical decisions together. The evaluation shows which risks need further investigation.The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.
Complexitydifferent
HighHighLowMedium
Timedifferent
Initial 3-6 h, then monthly or quarterly reviewsSeveral meetings plus preparation and analysis; total effort depends on scope25-40 min1-5 Tage
Participantsdifferent
5-12Evaluation team, architects, and relevant stakeholders1-5Nutzertraffic
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Execution Loop, Review Cadence, Strategic Learning LogPrioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigationsLearning Card with evidence and next actionClick Data, Interest Signal, Learning Decision
Tagsno overlap
ExecutionCadenceLearningGovernance
ArchitectureQualityRiskTradeoffsStakeholders
ExperimentsValidationDiscoveryLearning
ValidationExperimentsDemandDiscovery
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