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The Incentives Lab
Mental Models · Learning

Learn-Do-Teach Loop

Three-stage cycle: learn by seeing, learn by doing, learn by teaching — looped continuously.

"Skip the teach step and you'll relearn the same lesson next year."

Quick answer

What is Learn-Do-Teach Loop? Three-stage cycle: learn by seeing, learn by doing, learn by teaching — looped continuously. Embed in onboarding: every new hire learns, applies, then teaches the next cohort.

In the wild

Eben Pagan's documented decade of compounding through Learn-Do-Teach.

Why it matters in the room

Embed in onboarding: every new hire learns, applies, then teaches the next cohort.

Counter-move

Audit your weekly time: are all three present? If not, restructure.

Visual · Pattern
Learn-Do-Teach Loop — a recurring shape in how people decide.
Live example · Apply Learn-Do-Teach Loop

Use the model. Pick the move.

Three-stage cycle: learn by seeing, learn by doing, learn by teaching — looped continuously. You've just seen this: Eben Pagan's documented decade of compounding through Learn-Do-Teach. Which lever does the model recommend?

● Live

Pick a lever. There are no neutral ones — every incentive funds a behavior somewhere.

How does this land?

Pick a reaction to Learn-Do-Teach Loop

One tap. We'll point you at the most useful next surface based on how this hits.

Human Behavior Element™ · HBE Spec

The full taxonomy entry

Every concept in the Atlas uses the same structure — so Learn-Do-Teach Loop can be compared, recombined, and cited like an element on a periodic table.

About the standard →
M
LL
HBT-M2085
Official name
Learn-Do-Teach Loop
Mental Models · Learning
Identity
HBT ID
HBT-M2085
Symbol
LL
Official name
Learn-Do-Teach Loop
Synonyms
Learning
Keywords
Mental Models, Learning, human behavior, incentive design
Version
v1.0
Last updated
Maintained by The Incentives Lab
Classification
Kingdom
Cognition
Domain
Frameworks
Family
Mental Model
Class
Learning
Element
Learn-Do-Teach Loop
Definition
Scientific
Three-stage cycle: learn by seeing, learn by doing, learn by teaching — looped continuously.
Plain-English
Three-stage cycle: learn by seeing, learn by doing, learn by teaching — looped continuously.
Feynman
Skip the teach step and you'll relearn the same lesson next year.
Core principle
Three-stage cycle: learn by seeing, learn by doing, learn by teaching — looped continuously.
One-sentence summary
Embed in onboarding: every new hire learns, applies, then teaches the next cohort.
Mechanisms
Psychological
Three-stage cycle: learn by seeing, learn by doing, learn by teaching — looped continuously.
Behavioral econ.
Embed in onboarding: every new hire learns, applies, then teaches the next cohort.
Neurological
Reward, threat, and salience circuits bias attention toward the cue.
Evolutionary
Heuristics that paid off in ancestral environments now misfire in modern systems.
Sociological
Group norms and status incentives reinforce the pattern across a team.
Computational
Models trained on biased human signals will replicate and amplify the pattern.
Systems thinking
Feedback loops between metrics, incentives, and behavior lock the pattern in place.
Signals & signature
Inputs (activators)
Eben Pagan's documented decade of compounding through Learn-Do-Teach.
Outputs (observable)
Embed in onboarding: every new hire learns, applies, then teaches the next cohort.
Behavioral signature
You see Learn-Do-Teach Loop when the explanation for a decision sounds reasonable but the outcome keeps repeating.
Behavioral molecules
Often combines with related Atlas entries — see the rail below.
Pathways · before
A goal, metric, or contract clause makes the behavior rational locally.
Pathways · after
Locally rational choices accumulate into a systemic distortion.
Domains where it shows up
  • Business
  • Leadership
  • Government
  • Healthcare
  • Education
  • Sales
  • Marketing
  • AI
  • Negotiation
  • Media
  • Public Policy
  • Relationships
Examples
Everyday
Eben Pagan's documented decade of compounding through Learn-Do-Teach.
Modern
Embed in onboarding: every new hire learns, applies, then teaches the next cohort.
Historical
A pattern repeatedly documented since the foundational behavioral science literature on mental model.
Famous experiments
See the References block — primary papers in the Atlas link out to the original studies.
Design principles
How to leverage
Embed in onboarding: every new hire learns, applies, then teaches the next cohort.
How to reduce
Audit your weekly time: are all three present? If not, restructure.
How to redesign
Audit your weekly time: are all three present? If not, restructure.
The Perverse Incentive Lens™
How it's exploited
Organizations weaponize learn-do-teach loop — sometimes deliberately, often by accident — when metrics reward the symptom rather than the outcome.
Common perverse incentives
Volume metrics, short review windows, bonus cliffs, and contracts that pay on activity rather than impact.
Failure modes
When Learn-Do-Teach Loop dominates, teams optimize for the dashboard while the real outcome quietly degrades.
Incentive redesign
Audit your weekly time: are all three present? If not, restructure.
Ethical considerations
Don't engineer learn-do-teach loop into customers, employees, or citizens as a manipulation tactic — design for informed choice instead.
Diagnostic questions
  • Where in our org would Learn-Do-Teach Loop most often show up unnoticed?
  • Which metric, ritual, or contract clause quietly rewards Learn-Do-Teach Loop?
  • If we removed every payoff for Learn-Do-Teach Loop, what behavior would replace it?
  • Who benefits when Learn-Do-Teach Loop persists — and who pays the cost?
Organizational warning signs
Metrics
A KPI is hit while the underlying outcome stalls or worsens.
Behaviors
People route around the rule rather than challenge it.
Language
'That's just how we do it here.' / 'The system requires it.'
Culture
Naming the pattern is treated as disloyalty.
Red flags
  • People defend the status quo using the language of learn-do-teach loop.
  • Decisions cluster around the easiest narrative rather than the strongest evidence.
  • New data changes the slide deck but not the decision.
  • Anyone naming the pattern is treated as the problem.
Intervention playbook
Immediate
Make the perverse payoff visible to the people creating it.
30-day
Run a small pilot that pays for the outcome, not the proxy.
Long-term
Rewrite the comp plan, contract, or ritual so the right behavior becomes the easy behavior.
AI considerations
Detect
Audit training data and reward signals for the same pattern this element describes.
Avoid amplifying
Don't optimize models on metrics that already encode the perverse incentive.
Counteract
Use the model to surface where the pattern is most active, then redesign the incentive — not the model.
Measurement
Metrics
Outcome-to-proxy ratio over time.
Assessment
The Incentives Lab III Diagnostic.
Survey
Calibrated pulse questions on rules vs. outcomes.
Behavioral signals
Where people work around the system.
Observational
Where the dashboard and the lived experience disagree.
Scientific evidence
Evidence grade
Synthesized from the behavioral science literature; see Atlas references.
Replication
Tracked in the Atlas as primary, replicated, or contested.
Intervention confidence
Moderate — patterns generalize, mechanisms vary by context.
Research consensus
Broad agreement on the pattern; ongoing debate on boundary conditions.
Known limitations
Local context, culture, and incentive structure all change the strength of the effect.
Open questions
How does Learn-Do-Teach Loop interact with AI-mediated decisions at scale?
References
Meta-analyses
Tracked in the Atlas registry.
Seminal authors
Kahneman, Tversky, Thaler, Ariely, Cialdini, Ostrom, Simon — and the field they built.
Cross references

Every Atlas entry is a node in a knowledge graph. See the related rail below to follow the connections.

Disciplinary layers

See Learn-Do-Teach Loop through 2 lenses

Each layer of the Incentives OS reframes this concept with its own thinkers, vocabulary, and diagnostic question.

Read the research

Long-form essays that cite Learn-Do-Teach Loop

From the Research Center — where this concept gets argued, applied, and stress-tested.

Test yourself · 60 seconds

Do you actually know Learn-Do-Teach Loop?

Three quick questions. Result is saved into your review streak — come back when the term is due to lock it in.

Question 1 of 3Score: 0/3

Which best describes Learn-Do-Teach Loop?

Go deeper

Worked example, counter-example & concept map

On-demand AI analysis grounded in the Lab's research. Cached on your device after first run.

How this lands in you

Your nervous system has a region for this.

Primary region
Striatum & Nucleus Accumbens

When you encounter Learn-Do-Teach Loop, your striatum has built a reward association — and the next time the cue appears, it will push you toward the behavior whether you decide to or not.

Reward learning, habit formation, anticipation, craving, action selection. Habits live here. So do addictions. Variable rewards train this circuit faster than fixed ones.

See Striatum in the Brain Atlas →
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