METRIC ASSESSOR | MASTERCLASS

🎯 Training Overview

METRIC ASSESSOR | MASTERCLASS is a specialized program developed to advance the application of HR Metrics’ multi-layered test infrastructure and behavioral assessment methodology.

This training is designed to deepen the interpretation of assessments built on cognitive-behavioral theory, evaluating individuals along the emotion–thought–behavior axis and strengthening competency-based analysis.

Additionally, it equips participants with the technical knowledge, AI prompt development skills, and interpretation standards required to prepare meaningful data for LBM (Large Behavior Model)—HR Metrics’ proprietary AI-supported behavioral analysis system.

The program is intended for HR professionals with technical expertise and those engaged in high-level evaluation processes.

🎯 Training Objectives

• Analyze the HR Metrics test ecosystem in an integrated manner
• Interpret DISCOVERY outputs alongside competency, value, and emotional data
• Gain the ability to assess using cognitive-behavioral theory frameworks
• Construct multi-dimensional competency assessment matrices
• Create accurate and structured AI prompts suitable for LBM integration
• Advance interpretation skills in HR processes such as development, recruitment, and promotion

👥 Target Audience

• HR professionals in recruitment, development, and talent management
• Assessment & Development Center leads and practitioners
• Corporate training department experts
• Analysts and managers involved in HR analytics and digital HR projects
• Senior executives and decision-makers focused on strategic HR planning

🧠 Training Content

1. HR Metrics Assessment System
   DISCOVERY, Emotional Agility, Work Ethics, Value Alignment, Personality Profiling, Cognitive Abilities, etc.
   Interpretation criteria and integration with the competency model
2. Cognitive-Behavioral Theory Framework
   The emotion–thought–behavior triad
   Techniques for interpreting profiles based on this axis
3. Advanced Competency Analysis
   Multi-layered behavior matching via the HR Metrics Competency Model
   Signal–Interpretation–Pattern triad for data analysis
4. LBM (Large Behavior Model)
   Structure and operational logic of the LBM system
   Techniques for preparing meaningful input for AI-based behavior analysis
   Prompt design, data quality, and their effect on analytic output
5. Application & Workshop Activities
   Case-based simulations using real organizational profiles
   Integrated test interpretation exercises
   Prompt creation and sample analysis scenarios using LBM

✅ Participant Outcomes

• Mastery of the HR Metrics assessment framework
• Ability to link DISCOVERY results to strategic, competency-based decisions
• Proficiency in preparing and interpreting AI-compatible behavioral data
• Capability to evaluate processes not only from a results-based lens but contextually and developmentally
• High-accuracy behavioral support for critical HR processes such as development planning, recruitment assessments, and promotion analysis

🕒 Duration & Delivery Method

• Duration: 2 Full Days
• Method:
• Technical presentations
• Integrated test data analysis
• AI-supported interpretation exercises
• Prompt generation and output review
• Group work and structured case simulations