AI Evaluations & Advanced Features
The Job Evaluation Platform includes powerful AI capabilities and advanced features designed for experienced users. This guide covers AI evaluations, bulk operations, and sophisticated platform features.
AI Evaluations Overview
What are AI Evaluations?
AI Evaluations use OpenAI's GPT-4 to provide instant, consistent baseline assessments of job positions. The AI evaluator acts as an additional perspective alongside human evaluators.
Key Benefits: ✅ Instant Results: Available 24/7 with immediate completion ✅ Consistent Scoring: No human bias or variation in interpretation ✅ Baseline Reference: Provides objective starting point for discussions ✅ Cost Effective: No need for additional human evaluator time ✅ Detailed Reasoning: AI provides explanation for each score
How AI Evaluations Work
🔍 Analysis Process: 1. Position Analysis: AI reviews job title, description, and requirements 2. Dimension Mapping: Maps position details to 10 evaluation dimensions 3. Score Calculation: Assigns scores based on complexity and requirements 4. Reasoning Generation: Provides detailed explanation for each score 5. Result Integration: Scores included in multi-evaluator aggregation
📊 AI Scoring Methodology: The AI analyzes each of the 10 evaluation dimensions: - Education (5%): Analyzes qualification requirements and complexity - Experience (5%): Evaluates years and type of experience needed - Complexity (15%): Assesses job complexity and problem-solving requirements - Judgment (15%): Reviews decision-making authority and independence - Decision-Making (15%): Evaluates scope and impact of decisions - Budget Responsibility (10%): Analyzes financial oversight requirements - Communication (10%): Assesses internal and external communication needs - People Management (10%): Reviews team leadership and supervision - External Relations (10%): Evaluates stakeholder and client interaction - Physical/Emotional (5%): Considers physical demands and emotional challenges
Using AI Evaluations
Adding AI Evaluator
During Evaluation Creation: 1. Navigate to Evaluations → Create New Evaluation 2. Complete position and template selection 3. In evaluator assignment section, check "AI Evaluator" 4. AI evaluator is automatically configured (no email required) 5. Continue with other evaluator assignments 6. Send invitations (AI evaluation runs immediately)
AI Evaluation Results
Understanding AI Scores: - Scores range from 0.5 to 2.0 (same as human evaluators) - Each score includes detailed reasoning - AI considers position requirements comprehensively - Scores are weighted according to question weights
AI Reasoning Examples: - "Education: Score 1.5 - Position requires specialized degree or equivalent experience, above basic but not requiring advanced qualifications." - "Judgment: Score 2.0 - Role involves critical decisions affecting production success with significant organizational impact."
Comparing AI vs Human Scores: - AI typically provides conservative, consistent scoring - Human evaluators may consider organizational context more - Significant differences highlight areas for discussion - AI reasoning helps explain scoring rationale
Advanced Features
Multi-Evaluator Variance Analysis
Understanding Score Variance: - Low Variance (<0.3): Strong evaluator agreement - Medium Variance (0.3-0.7): Some disagreement, discussion recommended - High Variance (>0.7): Significant disagreement, review needed
Advanced Search & Filtering
Position Search Features: - Multi-criteria search: Title, department, band, salary range - Date range filtering and status filtering - Advanced sorting with multiple columns
Evaluation Search Features: - Evaluator type filtering (AI, external, internal) - Status filtering (complete, pending, overdue) - Score range and date filtering
Export & Reporting
Data Export Options: - JSON Format: Machine-readable for integrations - CSV Format: Spreadsheet-compatible for analysis - PDF Reports: Professional formatting - Chart Images: Visualizations for external use
Bulk Operations
Mass Position Management
- CSV Import: Upload multiple positions at once
- Template Application: Apply same template to multiple positions
- Bulk Band Assignment: AI suggestions for multiple positions
- Department Transfers: Move positions between departments
Bulk Evaluator Management
- Mass Invitations: Upload evaluator email lists
- Template Messages: Standardized invitation content
- Batch Reminders: Send reminders to multiple evaluators
- Status Tracking: Monitor bulk invitation delivery
AI Evaluation Best Practices
When to Use AI Evaluations
✅ Ideal Scenarios: - Initial baseline assessment for new positions - Consistent reference point across multiple evaluators - Quick evaluation when human evaluators unavailable - Training and calibration for new human evaluators - Large-scale evaluation projects requiring consistency
Optimizing AI Evaluations
Position Description Quality: - Detailed Descriptions: More detail improves AI accuracy - Clear Responsibilities: Specific duties and expectations - Requirement Specifications: Education, experience, skills needed - Context Information: Department, reporting structure, environment
Review and Validation: - Compare with Human Evaluators: Look for significant differences - Analyze AI Reasoning: Understand scoring rationale - Adjust Position Descriptions: Improve clarity based on AI feedback - Track AI Accuracy: Monitor AI performance over time
Troubleshooting
AI Evaluation Issues
"AI evaluation failed to complete" - Check internet connectivity and API access - Verify position description is not empty - Retry evaluation after brief delay - Contact support if problem persists
"AI scores seem consistently high/low" - Review position descriptions for clarity - Compare with similar positions - Check if organizational expectations differ from AI assumptions - Consider calibrating against human evaluator patterns
Performance Optimization
Large Dataset Handling: - Use filtering to focus on relevant data - Export data in smaller chunks for analysis - Optimize search queries for better performance - Consider archiving old evaluation data
Getting Advanced Support
Platform Training: - Advanced user training sessions - Power user certification programs - Custom training for organizational needs - Best practices workshops
Technical Support: - API documentation and developer resources - Integration support and consulting - Custom feature development discussions - Performance optimization consulting
Advanced features are designed to scale with your organization's sophistication. Start with basic AI evaluations and gradually adopt more complex features as your team gains experience.