KPIs are meaningless if they cannot explain the 'cause'. Breaking them down into 'actionable steps' using a driver tree

When numbers shift, what management wants to know is not 'how much was the variance,' but why it occurred.
However, in the field, there are often too many KPIs, leaving variances as mere 'explanations' without any actionable steps.
This is where a driver tree becomes effective. By placing the outcome (profit, cash, utilization) at the top and breaking it down into volume × unit price × mix × productivity, discussions move forward rapidly.

3 Points
• Start with the outcome: Profit/Cash/Throughput (which one to protect)
• Break down variance by drivers: Volume × unit price × mix × productivity (the same format every time)
• Narrow down to one lever: Owner + deadline + expected effect (in a format that can be verified next time)

PRACTICAL TIP
Create a 'one-page driver tree' for each medical department or service line.
If you 'cannot explain the variance in 60 seconds,' it is a sign that there are too many KPIs (or the definitions are ambiguous).

(Flow)
*Once the driver tree starts working, meetings change from 'reporting sessions' to 'decision-making forums'.
To achieve this, it is necessary to organize KPI definitions (denominator, scope, recording timing) and responsibility boundaries.

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