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Large People ModelHuman Operating Architecture
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Incentive conflict score

The degree to which an owner's incentives pull against the outcome they own.

Formula

Incentive conflict score

(conflict indicators present / total incentive indicators assessed) * 100

Unit

percent

Direction

Lower is better

Cadence

Semiannually and before major operating-model redesign.

Numerator

Observed conflicts across goals, rewards, local KPIs, enterprise outcomes, and risk behavior

Denominator

Total incentive checks performed

Worked Example

Ten platform and product owners assessed across five incentive checks each.

Conflict indicators

17

Total checks

50

Calculation

17 / 50 * 100

Result

34%

Interpretation

Owners may rationally optimize local metrics against enterprise outcomes.

Recommended action

Redesign incentives for owners with high-conflict signals.

Why it matters

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

What it reveals

Where local performance signals may undermine enterprise outcomes.

Manual assessment method

Compare owner goals, rewards, performance metrics, and expected enterprise outcomes for signs of conflict.

Lapemo calculation path

Not a current platform capability; it requires an incentive-capture flow before it can be measured.

Interpretation Bands

Healthy

0-10%

Low and manageable.

Watch

11-20%

Rising signal that should be reviewed.

Risk

21-35%

High enough to indicate structural friction.

Critical

>35%

Likely blocking execution or governance quality.

Required inputs

  • Owner goals
  • Reward model
  • Local KPIs
  • Enterprise outcomes
  • Observed behaviors

Data sources

  • Performance plans
  • OKRs
  • Incentive plans
  • Leadership interviews

Common pitfalls

  • Measuring stated intent instead of actual incentives
  • Ignoring local optimization

Recommended actions

  • Align incentives to enterprise outcomes
  • Review conflicting KPIs
  • Change owner scorecards

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.