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Large People ModelHuman Operating Architecture
Manual assessmentInformationpercent

Lineage completeness

The share of governed outputs whose information chain traces to an owned, governed source.

Formula

Lineage completeness

(outputs with traceable upstream source, owner, and timestamp / total outputs sampled) * 100

Unit

percent

Direction

Higher is better

Cadence

Quarterly; before high-stakes AI deployment.

Numerator

Outputs with complete lineage

Denominator

Outputs sampled

Worked Example

Executive dashboard metric lineage review.

Dashboard metrics sampled

40

Metrics with complete lineage

24

Calculation

24 / 40 * 100

Result

60%

Interpretation

Important outputs cannot reliably be traced back to evidence.

Recommended action

Prioritize lineage for metrics used in decisions and AI workflows.

Why it matters

This metric helps leaders see whether the information layer is healthy enough to support execution and AI readiness.

What it reveals

Whether decisions and outputs can be traced back to reliable evidence.

Manual assessment method

Select key outputs and trace their upstream information sources, owners, and governance status.

Lapemo calculation path

Supported by lineage queries; percentage assembly can be built from governed outputs and upstream sources.

Interpretation Bands

Healthy

85-100%

Strong enough for normal operating review.

Watch

70-84%

Usable, but gaps should be assigned owners.

Risk

50-69%

Weak enough to slow execution or create risk.

Critical

<50%

Do not scale the related workflow without intervention.

Required inputs

  • Output sample
  • Upstream source
  • Source owner
  • Timestamp
  • Transformation path

Data sources

  • Data lineage tool
  • Dashboard inventory
  • Knowledge object records
  • Audit logs

Common pitfalls

  • Confusing source links with full lineage
  • Not checking owner and timestamp

Recommended actions

  • Document upstream sources
  • Assign owners
  • Add timestamps to critical outputs

Measure Before You Scale

Measure the operating model before AI amplifies it.

Use the Metrics Library to understand what to diagnose, what to monitor, and where Lapemo can turn framework metrics into operating intelligence.