Job Evaluation Skill
SkillDev toolsAnalyze and evaluate jobs for internal equity and leveling using point-factor methods
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Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Job Evaluation Skill skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/business/human-resources/skills/job-evaluation/SKILL.md and read by ahel’s review.
Overview
The Job Evaluation skill provides capabilities for analyzing and evaluating jobs to establish internal equity, create job architecture, and support compensation decisions. This skill enables systematic job leveling through point-factor methods and career framework development.
Capabilities
Point-Factor Evaluation
- Apply point-factor job evaluation methods
- Calculate factor weights and scores
- Evaluate jobs consistently
- Handle hybrid and unique roles
- Support multiple evaluation systems (Hay, Mercer IPE)
Job Architecture
- Create job family and career level frameworks
- Define job family structures
- Establish career ladders
- Create job profiles
- Document leveling criteria
Internal Equity Analysis
- Calculate internal equity relationships
- Identify pay grade inconsistencies
- Compare job values across departments
- Detect compression issues
- Support equity adjustments
Job Documentation
- Generate job architecture documentation
- Create job description templates
- Build leveling guides and criteria
- Document evaluation rationale
- Maintain evaluation records
Market Matching
- Map jobs to market survey matches
- Support benchmark job selection
- Enable custom survey cuts
- Track match quality
- Document matching rationale
Usage
Job Evaluation
const jobEvaluation = {
job: {
title: 'Senior Software Engineer',
family: 'Engineering',
department: 'Product Engineering',
manager: 'Engineering Manager'
},
factors: [
{
name: 'Knowledge',
weight: 25,
subfactors: [
{ name: 'Education', score: 4, maxScore: 6 },
{ name: 'Experience', score: 5, maxScore: 6 },
{ name: 'Technical Complexity', score: 5, maxScore: 6 }
]
},
{
name: 'Problem Solving',
weight: 25,
subfactors: [
{ name: 'Analysis', score: 5, maxScore: 6 },
{ name: 'Creativity', score: 4, maxScore: 6 }
]
},
{
name: 'Impact',
weight: 30,
subfactors: [
{ name: 'Scope', score: 4, maxScore: 6 },
{ name: 'Financial Impact', score: 3, maxScore: 6 }
]
},
{
name: 'Leadership',
weight: 20,
subfactors: [
{ name: 'Direct Reports', score: 1, maxScore: 6 },
{ name: 'Influence', score: 4, maxScore: 6 }
]
}
]
};
Career Framework
const careerFramework = {
family: 'Engineering',
track: 'Individual Contributor',
levels: [
{
code: 'IC1',
title: 'Associate Engineer',
pointRange: { min: 100, max: 200 },
gradeLevel: 'P1',
characteristics: {
scope: 'Task-level with guidance',
autonomy: 'Close supervision',
impact: 'Own work only'
}
},
{
code: 'IC2',
title: 'Software Engineer',
pointRange: { min: 201, max: 350 },
gradeLevel: 'P2',
characteristics: {
scope: 'Project components',
autonomy: 'General guidance',
impact: 'Team contributions'
}
}
// ... additional levels
]
};
Process Integration
This skill integrates with the following HR processes:
| Process | Integration Points |
|---|---|
| job-evaluation-leveling.js | Full evaluation workflow |
| salary-benchmarking.js | Market matching |
| succession-planning.js | Career framework |
Best Practices
- Consistency: Apply evaluation factors consistently across jobs
- Documentation: Document evaluation rationale thoroughly
- Committee Review: Use evaluation committees for objectivity
- Regular Updates: Review job evaluations when roles change
- Market Alignment: Ensure internal values align with market
- Transparency: Communicate leveling criteria to employees
Metrics and KPIs
| Metric | Description | Target |
|---|---|---|
| Jobs Evaluated | Percentage of jobs with evaluation | 100% |
| Evaluation Currency | Jobs reviewed in last 2 years | 100% |
| Internal Equity | Same-level pay variance | <10% |
| Framework Coverage | Jobs mapped to framework | 100% |
| Appeal Rate | Evaluation appeals per year | <5% |
Related Skills
- SK-013: Comp Benchmarking (market integration)
- SK-014: Pay Equity (equity analysis)
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
job-evaluation- Source
- github.com/a5c-ai/babysitter