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Metric Tree Analysis allows teams to represent metrics in a hierarchical structure to better understand our key performance indicators. This method fosters the identification of patterns and relationships among different metrics and their underlying factors.
Use this profile to understand the building block briefly, place it in the model, and switch to the 360° assessment when needed.
Executable approach: can be applied and produces an outcome.
What organizes, connects, or makes decisions possible.
Metric tree analysis decomposes a high-level goal or metric into measurable drivers and contributing sub-metrics.
The approach belongs to the lineage of measurement systems and performance measurement. Robert S. Kaplan and David P. Norton’s Balanced Scorecard work from 1992 helped establish a systematic link between objectives, drivers, and measures.
Picture a tree: the outcome sits at the top, and branches below show the factors that influence it. Split each branch until a team can observe or change it.
The high-level outcome whose state needs to be understood.
A factor that contributes to changing the higher-level metric.
Breaking a metric into understandable contributing measures.
The analysis reveals actionable levers and gaps in measurement, giving teams a structure for discussion and metric design. It does not by itself prove causality between metrics.
Where this building block is located in the topic model.
Explore how this building block connects to concepts, methods, technologies, and tools.
These sources establish the term and its professional meaning.
All direct connections of the current building block in a compact text view.
This classification shows where the building block typically matters, how demanding it is, and what kind of impact it has in the model.
The level within the organization (enterprise, domain, team) at which the AssetBlock is applied.