Elaboration Likelihood Model

---
skill_id: elaboration-likelihood-model
name: Elaboration Likelihood Model (ELM)
version: 1.0.0
category: behavior-science
type: framework
frameworks: []
triggers:
  - apply elaboration likelihood model
  - use elaboration-likelihood-model framework
  - elaboration likelihood model analysis
collaborates_with:
  - persuasion-specialist
  - content-creator
  - marketing-strategist
ethics_required: true
priority: medium
tags: [behavior-science, framework]
created: 2026-07-08
updated: 2026-07-08
---

# Elaboration Likelihood Model (ELM)

## Purpose
Apply the Elaboration Likelihood Model to understand persuasion routes and design messages matched to the audience's motivation and ability to process them.

## Frameworks & Standards
| Item | Value |
|------|-------|
| Framework ID | `elaboration-likelihood-model` |
| Category | Behavior Science |
| Version | 1.0.0 |
| Owner | Petty & Cacioppo |
| Maturity | Established (1986) |
| Primary References | Elaboration Likelihood Model (Central & Peripheral routes) |

## Prompt Template
```
You are applying the Elaboration Likelihood Model (ELM) framework.

CONTEXT:
- Current task: [[task_description]]
- Domain: behavior science
- Stakeholders: [[stakeholder_roles]]

FRAMEWORK APPLICATION:
1. **Identify**: What aspect of Elaboration Likelihood Model applies to this situation?
2. **Analyze**: Break down the problem using framework principles:
   - Apply relevant framework principles to the context
3. **Synthesize**: Combine insights into actionable recommendations
4. **Validate**: Check recommendations against framework guidelines

OUTPUT STRUCTURE:
- Framework Application: Which principles were used and why
- Analysis: Step-by-step application to the specific context
- Recommendations: Prioritized actions based on framework guidance
- Limitations: Any constraints or assumptions in the application

QUALITY CHECKS:
□ All recommendations align with Elaboration Likelihood Model principles
□ Ethical considerations have been evaluated
□ Stakeholder impacts have been considered
□ Next steps are clear and actionable
```

## Core Principles
ELM identifies two routes to persuasion:
- **Central route**: Careful, thoughtful processing — used when the audience has high motivation and high ability
- **Peripheral route**: Heuristic, surface-level processing — used when the audience has low motivation and low ability

## Applications & Use Cases
| Use Case | Application | Expected Outcome |
|----------|-------------|----------------|
| Message Design | Match argument depth to audience motivation and ability | Persuasion aligned to the right route |
| Content Strategy | Balance substantive arguments with peripheral cues | Content that engages across audience states |
| Campaign Design | Route high-involvement audiences to central messaging | Higher-quality, more durable attitude change |
| Cue Selection | Deploy credibility and heuristic cues for low-elaboration contexts | Effective persuasion under low involvement |

## Reference Materials
- [Elaboration Likelihood Model (Central & Peripheral routes)](https://en.wikipedia.org/wiki/Elaboration_likelihood_model) - Petty & Cacioppo

## Usage Guidelines
- **Start with context**: Clearly define the problem space before applying framework
- **Adapt, don't adopt**: Customize framework application to your specific situation
- **Document decisions**: Record how and why framework principles were applied
- **Review outcomes**: Evaluate results to improve future framework application
- **Share learnings**: Contribute insights back to team knowledge base

## Collaboration Protocol
- Apply independently unless a task explicitly requires another skill or framework
- Use structured handoff format: [Context] -> [Framework Applied] -> [Open Questions] -> [Next Action]

## Ethical Guidelines
- ALWAYS prioritize user autonomy and informed consent
- NEVER use for manipulative or coercive purposes
- ALWAYS provide clear opt-out mechanisms

## Success Metrics
- **Clarity**: Framework application produces clearer decision rationale
- **Consistency**: Similar situations receive similar framework-guided analysis
- **Stakeholder Alignment**: Framework language improves cross-functional understanding
- **Outcome Quality**: Decisions show improved consideration of relevant factors
- **Learning**: Framework application generates insights for future improvement

## Related Skills
- *No directly related skills defined*

## Testing Strategy
- Validate that recommendations clearly map back to Elaboration Likelihood Model principles
- Review one real example and one edge case before adopting the output
- Confirm stakeholder, ethical, and operational constraints were considered
- Document adjustments made when the framework needed adaptation for context

---
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SPDX-License-Identifier: BSL-1.1 (Apache-2.0 after 4 years)  
See LICENSE at repo root. Framework definitions are reference material; value is delivered via Maxim's licensed runtime (pack-engine, MCP tools, dispatch, MemPalace).</sub>