The research informing how Audacious Labs designs for behavior change.
Audacious Labs draws from established research and applied frameworks across behavior change, motivation, learning, memory, practice, transfer, environmental design, implementation planning, and habit formation.
No single theory explains every requirement of workplace behavior change. Erin Green developed Behavioral Architecture and Hook to Habit by synthesizing recurring principles from multiple research traditions into practical systems for learning-program analysis and design.
Transparency: The underlying principles are evidence-informed. The complete proprietary frameworks are original Audacious Labs syntheses.
Developed by Erin Green, Founder and CEO of Audacious Labs. Meet Erin Green
- 1Research traditions
- 2Recurring requirements
- 3Practical design decisions
- 4Behavioral Architecture & Hook to Habit
Synthesis, not replication: the frameworks apply recurring principles in context.
What does “evidence-informed” mean at Audacious Labs?
Evidence-informed design uses credible research to strengthen professional judgment. It does not replace context, stakeholder input, learner research, testing, or the decisions required for a specific organization.
- 1
Research identifies useful principles
Research can clarify mechanisms such as self-efficacy, practice, feedback, prompts, environmental opportunity, retrieval, context repetition, and social support.
- 2
The initiative determines how they apply
The appropriate design depends on the behavior, audience, work environment, risk, existing capability, available tools, and organizational constraints.
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A source supports a specific claim
Audacious Labs does not treat one useful study or theory as proof of an entire framework, program, or business outcome.
- 4
Testing remains necessary
Prototypes, learner input, stakeholder review, implementation evidence, and workplace results are needed to determine whether a design works in context.
Evidence narrows uncertainty. It does not eliminate the need for judgment, testing, or adaptation.
What conditions repeatedly appear in behavior-change research?
Across different research traditions, several broad requirements appear repeatedly: people need a reason to act, the capability and opportunity to perform, realistic practice, useful feedback, environmental support, repetition in context, reinforcement, and a way to recover after disruption.
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Relevance
The behavior connects to an outcome, responsibility, problem, identity, or consequence that matters to the person.
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Belief that action is possible
People are more likely to begin and persist when successful performance feels achievable.
- 3
A clear first action
Intentions are more likely to become behavior when the next step is specific, feasible, and connected to an appropriate cue or context.
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Capability
Knowledge, skill, judgment, and confidence must be developed to the level the real behavior requires.
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Realistic practice and feedback
Performance improves through application, feedback, retrieval, repetition, and practice under increasingly authentic conditions.
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Opportunity and environmental support
Tools, access, authority, workflow, time, managers, peers, and organizational conditions affect whether the behavior can occur.
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Transfer into the work context
The learner must be able to recognize when to act and use the behavior with the tools and constraints present in real work.
- 8
Repetition and reinforcement
Continued performance becomes more reliable when the behavior is repeated in context and connected to useful evidence, outcomes, or support.
- 9
Recovery after disruption
Sustained performance requires a path back when priorities change, routines break, or the behavior is missed.
These requirements do not form one universally validated sequence. They are recurring design conditions that appear across multiple bodies of research and practice.
How does Audacious Labs turn a research principle into a program decision?
Audacious Labs does not place research terminology into a program simply to make it sound scientific. Each principle must be translated into a practical meaning, a design implication, and a specific connection to the framework.
Example 1
Research principle
Self-efficacy
Plain-language meaning
People are more likely to begin and persist when they believe they can perform the behavior.
Design implication
Create achievable early success, useful modeling, appropriately difficult practice, and feedback that shows the learner what is improving.
Framework connection
Hook, Start, Build, Skills Required, and Beliefs and Identity
Example 2
Research principle
Implementation intentions
Plain-language meaning
A specific plan connecting a situation to an action is more actionable than a vague intention.
Design implication
Define when, where, or under what conditions the learner should act, and connect the behavior to a cue, workflow, or scheduled moment.
Framework connection
Start, Flow, Habits to Replace, and Tools and Environment
Example 3
Research principle
Retrieval, spacing, and varied practice
Plain-language meaning
Capability is strengthened when learners repeatedly retrieve and apply what they have learned under changing conditions.
Design implication
Replace exposure-only instruction with repeated application, feedback, increasing difficulty, and practice that resembles the work context.
Framework connection
Build, Skills Required, and Foundational Knowledge
Example 4
Research principle
Capability, opportunity, and motivation
Plain-language meaning
A person may be willing to act but still lack the skill, access, support, authority, or environmental opportunity required.
Design implication
Identify whether the gap requires learning, tools, process changes, manager support, environmental changes, or a combination.
Framework connection
Tools and Environment, Skills Required, Beliefs and Identity, Failure Points, and Flow
Example 5
Research principle
Context repetition and recovery planning
Plain-language meaning
Behavior becomes more reliable when it is repeated in a stable context and when disruption includes a clear path back.
Design implication
Create recurring cues, reinforcement, coping plans, restart instructions, and re-entry support.
Framework connection
Habit, Habits to Replace, Tools and Environment, and Failure Points
What research areas inform Behavioral Architecture?
Behavioral Architecture brings together research that explains what a person must do, what capability they need, what currently competes with the behavior, and what the environment must provide.
- 1
Layer 1: Observable Habits and Behaviors
Research themes
- Behavior specification
- Goal definition
- Performance criteria
- Action and context definition
- Measurement of observable performance
Interpretation: The target must be specific enough to observe, practice, support, and evaluate.
- 2
Layer 2: Habits to Replace
Research themes
- Existing routines
- Automatic motivation
- Context-dependent behavior
- Competing responses
- Habit interruption and substitution
Interpretation: New behavior enters a context where something else may already happen automatically.
- 3
Layer 3: Tools and Environment
Research themes
- Environmental opportunity
- Choice architecture
- Friction reduction
- Prompts and cues
- Environmental restructuring
Interpretation: Performance depends partly on what is available, accessible, and easy to use at the moment of action.
- 4
Layer 4: Skills Required
Research themes
- Practice
- Feedback
- Scaffolding
- Retrieval
- Transfer
- Self-efficacy
Interpretation: Skills develop through performance and feedback, not explanation alone.
- 5
Layer 5: Foundational Knowledge
Research themes
- Attention
- Memory
- Cognitive prerequisites
- Retrieval
- Spacing
- Mental models
Interpretation: Knowledge belongs in the program when a skill, judgment, or decision depends on it.
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Layer 6: Beliefs and Identity
Research themes
- Self-efficacy
- Motivation
- Autonomy
- Competence
- Relatedness
- Identity and perceived control
Interpretation: People may possess the knowledge and skill while still believing the behavior is unsafe, impossible, irrelevant, or inconsistent with their role.
- 7
Layer 7: Failure Points
Research themes
- Physical and social opportunity
- Transfer conditions
- Organizational constraints
- Incentives and manager expectations
- Workload and access
- Implementation barriers
Interpretation: The architecture must be tested against the actual conditions in which performance will occur.
What research areas inform Hook to Habit?
Hook to Habit organizes research-informed requirements around the changing needs of a learner—from initial relevance through action, capability, workplace use, and sustained performance.
- 1
Phase 1: Hook
Research themes
- Personal relevance
- Valued outcomes
- Self-efficacy
- Motivation and internalization
- Modeling and social learning
- Salience
Interpretation: The change must feel meaningful and possible before deeper engagement is likely.
- 2
Phase 2: Start
Research themes
- Implementation intentions
- Friction reduction
- Prompts and cues
- Choice architecture
- Early success
- Capability, opportunity, and motivation
Interpretation: The first meaningful action must be specific, feasible, timely, and appropriately prompted.
- 3
Phase 3: Build
Research themes
- Mastery experiences
- Scaffolding
- Practice
- Feedback
- Retrieval and spacing
- Transfer and varied application
Interpretation: Capability develops through repeated performance under increasingly realistic conditions.
- 4
Phase 4: Flow
Research themes
- Environmental opportunity
- Workflow integration
- Context cues
- Social support
- Transfer
- Self-monitoring
- Environmental restructuring
Interpretation: The behavior must become possible and supported inside the real work environment.
- 5
Phase 5: Habit
Research themes
- Context repetition
- Reinforcement
- Implementation and coping plans
- Identity and internalization
- Recovery after disruption
- Social and managerial support
Interpretation: Continued performance requires repetition, reinforcement, environmental support, and a path back after lapses.
Qualification: Hook to Habit is not presented as a single empirically validated stage model. The phases organize changing design requirements drawn from multiple research traditions.
How does Audacious Labs decide what research belongs on this site?
A public citation must support a clearly defined claim, come from an appropriate source type, and include enough context for a reader to understand what it does—and does not—demonstrate.
- 1
Standard 1: Prefer primary and authoritative sources
Use original research, foundational publications, systematic reviews, meta-analyses, official standards, and authoritative institutional reports where available.
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Standard 2: Match the source to the claim
A source supporting self-efficacy does not validate the complete Hook to Habit model. A transfer study does not prove a specific program will produce a business result.
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Standard 3: Identify the evidence type
Distinguish foundational theory, primary empirical research, systematic review, applied framework, practitioner synthesis, and Audacious Labs interpretation.
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Standard 4: State important limitations
Note relevant population, context, outcome type, transfer limitations, conflicting evidence, and where professional judgment remains necessary.
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Standard 5: Separate evidence from interpretation
Readers should be able to tell where a source ends and where Audacious Labs’ professional synthesis begins.
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Standard 6: Verify before publication
A source is not published until its citation, canonical link, supported claim, relevant methodology connection, limitations, and approval status have been reviewed.
What the research does not establish
- No single theory or study validates the complete Behavioral Architecture framework.
- Hook to Habit has not been independently validated as one unified five-phase stage model.
- Evidence supporting a design principle does not guarantee a specific learner, behavior, operational, or business outcome.
- Research from one context may not generalize directly to another audience, industry, delivery mode, or workplace.
- Learner satisfaction, preference, completion, or perceived ease should not automatically be treated as evidence of learning, transfer, or behavior change.
- Testing, implementation evidence, and professional judgment remain necessary.
Selected sources and annotations
The annotated source library is being verified before publication. Audacious Labs will publish sources only after confirming the original citation, canonical link, supported claim, framework connection, and limitations.
Apply the evidence to a real learning initiative.
Explore the two Audacious Labs systems, assess one current program, or discuss an engagement when the initiative requires deeper analysis and design.