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Criterion
Paper illustration of Strategy Execution Loop with its method-specific working model.
Business Strategy
Strategy Execution Loop
Paper illustration of Request for Comments (RFC) with its method-specific working model.
Architecture
Request for Comments
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption 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.An RFC clarifies architecture context, options, and consequences. It structures technical context, alternatives, tradeoffs, open questions, and review feedback, and captures the result as an RFC document, reviewer comments, and a decision rationale.The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report.
Complexitydifferent
HighMediumLowMedium
Timedifferent
Initial 3-6 h, then monthly or quarterly reviews1-3 Wochen vom Draft bis zur Entscheidung25-40 min1-2 Wochen pro Iteration
Participantsdifferent
5-123-20 Reviewer1-52-6
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Execution Loop, Review Cadence, Strategic Learning LogRFC document, Reviewer comments, Decision rationale, Follow-up ADR or ticketsLearning Card with evidence and next actionPrioritized Assumption List, Test Plan, Results Report
Tagsno overlap
ExecutionCadenceLearningGovernance
ArchitectureDecisionAsyncGovernance
ExperimentsValidationDiscoveryLearning
ExperimentsValidationDiscoveryAssumptions
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