KPI Tree
Definition
A metric tree breaks down an overarching goal or metric into measurable drivers and sub-metrics.
It shows computational relationships or explicitly marked assumptions about influences between metrics. The specific structure must be tailored to the question and the company.
Simply explained
Like breaking down an overall value into the levers beneath it.
Why it matters in practice
Relevant for ROI, funnel analysis, and prioritization because teams see which drivers influence a target metric.
Example from business
"Cost per transaction" is broken down into processing time, personnel costs, error rate, and rework.
Limits and pitfalls
- Mistaking pure correlation for causation; too many levels; contradictory definitions; using uncontrollable variables as control KPIs.
Origin & history
SAP describes value driver trees as hierarchically linked metrics and calculations to model drivers and scenarios.
Use in mid-sized companies
- Possible application in SMEs: Break down ROI or funnel KPIs into measurable operational drivers.
Frequently asked questions
What relationships does a metric tree show?
Computational relationships or explicitly marked assumptions about influences. Are modeled influences thereby proven causal? No.
Sources
- Value Driver Trees, When to use und How value driver trees work · SAP, Value Driver Trees, When to use und How value driver trees work
Source check: 11.10.2026.
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