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Criterion
Paper illustration for Teach-back.
Knowledge Modeling
Teach-back
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
Purposedifferent
Teach-back checks whether an explanation actually got through to the other person. The method makes misunderstandings visible early and strengthens shared understanding in advisory and learning situations.When delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible.When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules.The Feynman Technique checks understanding by explaining a topic so that it stays easy for others to understand. It makes knowledge gaps visible before they become costly in everyday work.
Complexitydifferent
LowMediumMediumLow
Timedifferent
5-20 min1-3 hlaufend20-60 min
Participantsdifferent
2-84-102-121
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncAsync
Outputdifferent
Understanding Check, Clarification Notes, Learning GapsCurrent-state map, Future-state map, Bottleneck listThroughput Data, Flow Forecast, Slicing RulesPlain-language Explanation, Knowledge Gaps, Study Notes
Tagsno overlap
LearningUnderstandingCommunication
LeanFlowWasteDelivery
EstimationForecastingFlow
LearningKnowledgeUnderstanding
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