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HBT-INC-0296 · Dimension INC · Incentives

Performance Metrics

Measure drives behavior

Level 4·Behavioral Force·Grade B·stub· enriching…
In one paragraph

Performance Metrics is measure drives behavior. It sits in the Incentives dimension (INC) of the Human Behavior Taxonomy™ as element HBT-INC-0296, within the Level 4 family. The core principle: measure drives behavior. In incentive terms, it matters because it changes the payoff people perceive before they choose — which means it can be designed for, or exploited.

Scientific Definition

Measure drives behavior

Plain-English Definition

Measure drives behavior

Feynman Explanation

Measure drives behavior

Core Principle

Measure drives behavior

Mechanisms

Psychological

Pending editorial review.

Behavioral Economic

Pending editorial review.

Neurological

Pending editorial review.

Evolutionary

Pending editorial review.

Sociological

Pending editorial review.

Computational

Pending editorial review.

Systems

Pending editorial review.

Inputs (Triggers)

Pending editorial review.

Outputs (Behaviors)

Pending editorial review.

Behavioral Signature

Measure drives behavior

Examples

Everyday

Pending editorial review.

Modern (Organizational)

Pending editorial review.

Historical

Pending editorial review.

Lab Commentary

Original analysis from The Incentives Lab — how this element behaves inside real payoff structures.

Why this element matters to incentive design

When this element shows up in a diagnostic, the instinct is to train people out of it. Training rarely moves it. The mechanism underneath it operates in the Incentives dimension — what makes behavior more or less likely?. You can recognize it in the field by its signature: measure drives behavior. Every element in the Incentives dimension changes the perceived payoff of an action before the action happens, which is exactly where incentive design has leverage.

How it gets exploited

Left undesigned, this element is exploited the ordinary way: someone discovers that triggering it is cheaper than earning the outcome it stands in for. The pattern is the same one Goodhart's Law describes: the measurable proxy attracts the effort, and the purpose behind it quietly loses funding.

How the Lab designs around it

The redesign move is to make the desired behavior observable, remove whatever currently pays for its opposite, and attach the reward to the behavior rather than to the noisy outcome downstream of it. The test of any redesign here is simple: after the change, can you name what the organization is now doing less of? If not, the payoff structure did not actually move.

Famous Experiments

Pending editorial review.

Design Principles

Pending editorial review.

Measurement Approaches

Pending editorial review.

Evidence

Evidence Grade
B (A strongest → E speculative)
Replication
★★★☆☆
Intervention Confidence
3 / 5
Consensus
Pending editorial review (HBT v1.0 auto-seed).
Limitations
Pending editorial review (HBT v1.0 auto-seed).
Open Research Questions

Pending editorial review.

Primary References

Pending editorial review.

Signature Section

The Perverse Incentive Lens™

How this behavior is exploited — and how to redesign around it.

Exploitation
Pending editorial review (HBT v1.0 auto-seed).
Amplifying Incentives
Pending editorial review (HBT v1.0 auto-seed).
Org Failure Modes
Pending editorial review (HBT v1.0 auto-seed).
Societal Failure Modes
Pending editorial review (HBT v1.0 auto-seed).
Ethical Considerations
Pending editorial review (HBT v1.0 auto-seed).
Redesign Strategies
Pending editorial review (HBT v1.0 auto-seed).
Diagnostic Questions

Pending editorial review.

Warning Signs

Pending editorial review.

Red Flags

Pending editorial review.

Intervention Playbook
Individual
Pending editorial review (HBT v1.0 auto-seed).
Team
Pending editorial review (HBT v1.0 auto-seed).
Organization
Pending editorial review (HBT v1.0 auto-seed).
Policy
Pending editorial review (HBT v1.0 auto-seed).
AI Implications
Detection
Pending editorial review (HBT v1.0 auto-seed).
Measurement
Pending editorial review (HBT v1.0 auto-seed).
Mitigation
Pending editorial review (HBT v1.0 auto-seed).
Responsible Use
Pending editorial review (HBT v1.0 auto-seed).

Interactive Mini Network

Click any neighbor to re-center the graph and follow the threads of connection.

HBT-INC-0296 · INC
Performance Metrics
I4I1RewardsI3Incentive AlignmentI5Market IncentivesI6Policy IncentivesI7Civilizational Incen…IBIncentive BlindnessIDIncentive DebtIDIncentive DriftIEIncentive EntropyIGIncentive Gravity

Knowledge Graph Neighbors

Where Performance Metrics is cited in the corpus

Questions about Performance Metrics

What is Performance Metrics?
Performance Metrics is measure drives behavior. It sits in the Incentives dimension (INC) of the Human Behavior Taxonomy™ as element HBT-INC-0296, within the Level 4 family. The core principle: measure drives behavior. In incentive terms, it matters because it changes the payoff people perceive before they choose — which means it can be designed for, or exploited.
How is Performance Metrics exploited?
It is exploited when triggering the behavior becomes cheaper than producing the outcome the behavior is supposed to signal — the standard perverse-incentive path.
How do you design around Performance Metrics?
Name the behavior you want in observable terms, remove what currently pays for the opposite, attach the reward to the behavior rather than a lagging proxy, and publish how you will detect gaming.
Which behavioral dimension does Performance Metrics belong to?
Performance Metrics is classified in the Incentives dimension (INC) of the Human Behavior Taxonomy™, family "Level 4", class "Behavioral Force". Its permanent identifier is HBT-INC-0296 and its evidence grade is B.

Version History

v1.1.0 · 2026-06-28Imported from HBE framework v0.