This post introduces a generalized model for leakage analysis, applicable across domains such as operations, design, strategy, and systems thinking. By decomposing the whole into manifest outputs and latent gaps, the framework enables structured reasoning about what is visible, what remains hidden, and how countermeasures can be designed. It shifts the focus from surface-level symptoms to underlying causal structures.
Modeling Based on 後正武 『意思決定のための分析の技術』| Entity Name | Description |
|---|---|
| Whole | The total conceptual space under analysis, encompassing both manifest and latent components. |
| Manifest | The observable portion of the system, including measurable outputs and known factors. |
| Output | The visible results or expressions of system behavior, such as performance metrics or deliverables. |
| Breakdown | A detailed decomposition of outputs into subcategories for granular analysis. |
| Others | Residual or unclassified components within the manifest domain, often overlooked. |
| Factor | Underlying causes or drivers that influence outputs and residuals. |
| Latent | Unobserved or unactivated elements that represent structural gaps or hidden potential. |
| Countermeasure | Strategic interventions designed to address latent gaps or causal disconnects. |
By modeling leakage as a structural relationship between manifest outputs and latent gaps, this framework supports deeper analysis across disciplines. It enables designers, strategists, and analysts to move beyond surface metrics and engage with the causal architecture of performance.
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