Processes

Define measures and metrics

How define measures and metrics are reshaped as AGI capability advances.

ProcessesDefine measures and metrics
Define measures and metrics — illustrated

The bottom line

Roughly 85% of the work in Define measures and metrics is information-shaped — already within reach of AI delivery. The question here is not whether it shifts, but which tasks go first and who staffs the residual.

Why: Lacking populated child occupations, the scalar is derived from the process name 'Define measures and metrics'. Creating and defining performance indicators is an information-transformation task rooted in data analysis, strategic planning, and documentation, placing this strategic management process firmly in the digital band.

grounded in the economy graph · digital scalar 0.85 · digital

Business-as-Code

Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.

Define measures and metrics sits inside a larger value-flow — 1 parent structure it composes into. The hierarchy is grounding, not the story: it tells you which aggregate exposure Define measures and metrics inherits.

Where Define measures and metrics sits

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How the work flows

Trigger: A new strategic objective is set, a business process is redesigned, or an organizational performance planning cycle begins.

  1. Review strategic objectives and operational goals for the target domain
  2. Identify potential performance indicators and activity measures
  3. Select final Key Performance Indicators (KPIs) and operational metrics
  4. Define precise calculation formulas, data sources, and collection frequencies
  5. Establish current performance baselines and future target thresholds
  6. Secure formal approval from process owners and stakeholders
  7. Document the approved measures in a central metric repository

Outcome: A standardized dictionary of approved performance metrics, complete with calculation formulas, data sources, and target thresholds, is established.

Measured by

Metric Definition Cycle TimeData Source Automation PercentageMetric Utilization RateStakeholder Approval Rate