DrNabeelKhan 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) - 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).