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HBT-INC-0234 · Dimension INC · Incentives

Resistance Mapping

Pre-deployment analysis of who loses what.

Adoption·AI-Behavioral Coupling·Grade C·draft· enriching…
In one paragraph

Resistance Mapping is pre-deployment analysis of who loses what. It sits in the Incentives dimension (INC) of the Human Behavior Taxonomy™ as element HBT-INC-0234, within the Adoption family. The core principle: pre-deployment analysis of who loses what. 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

Pre-deployment analysis of who loses what.

Plain-English Definition

Pre-deployment analysis of who loses what.

Feynman Explanation

Resistance you didn't see coming will see you coming.

Core Principle

Pre-deployment analysis of who loses what.

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

Resistance you didn't see coming will see you coming.

Examples

Everyday
  • Stakeholder analysis adapted for AI rollouts.
Modern (Organizational)
  • Change management foundation.
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

Most organizations meet this element as a personnel problem. It is not one. 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: resistance you didn't see coming will see you coming. 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, change management foundation. It is amplified whenever change management foundation. Inside organizations that shows up as change management foundation. 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 before deploying: map the loss landscape. Plan compensation. Treat it as infrastructure. Once you can see it in your own system, most of the argument about culture resolves itself.

Famous Experiments

Pending editorial review.

Design Principles

  • Before deploying: map the loss landscape. Plan compensation.

Measurement Approaches

Pending editorial review.

Evidence

Evidence Grade
C (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
Change management foundation.
Amplifying Incentives
Change management foundation.
Org Failure Modes
Change management foundation.
Societal Failure Modes
Pending editorial review (HBT v1.0 auto-seed).
Ethical Considerations
Pending editorial review (HBT v1.0 auto-seed).
Redesign Strategies
Before deploying: map the loss landscape. Plan compensation.
Diagnostic Questions
  • Before deploying: map the loss landscape. Plan compensation.
Warning Signs

Pending editorial review.

Red Flags

Pending editorial review.

Intervention Playbook
Individual
Before deploying: map the loss landscape. Plan compensation.
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-0234 · INC
Resistance Mapping
RMACAdoption Curve (AI)AAAlgorithmic AversionCACargo-Cult AdoptionJRJob RedesignPPPilot PurgatorySASandbagging AdoptionSAShadow AISTStatus Threat (AI)AUAcceptable Use Polic…AgAgent

Knowledge Graph Neighbors

Where Resistance Mapping is cited in the corpus

Questions about Resistance Mapping

What is Resistance Mapping?
Resistance Mapping is pre-deployment analysis of who loses what. It sits in the Incentives dimension (INC) of the Human Behavior Taxonomy™ as element HBT-INC-0234, within the Adoption family. The core principle: pre-deployment analysis of who loses what. In incentive terms, it matters because it changes the payoff people perceive before they choose — which means it can be designed for, or exploited.
What is an example of Resistance Mapping?
Change management foundation. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-INC-0234).
How is Resistance Mapping exploited?
Change management foundation.
How do you design around Resistance Mapping?
Before deploying: map the loss landscape. Plan compensation.
Which behavioral dimension does Resistance Mapping belong to?
Resistance Mapping is classified in the Incentives dimension (INC) of the Human Behavior Taxonomy™, family "Adoption", class "AI-Behavioral Coupling". Its permanent identifier is HBT-INC-0234 and its evidence grade is C.

Version History

v1.1.0 · 2026-06-28Initial auto-seed from corpus.