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Module 03 • Dynamic Talent Taxonomy

Dynamic Competency Framework: From Static Job Descriptions to Live Skill Trees

Move beyond static annual spreadsheets. Automatically extract competencies from role descriptions, classify skills across Bloom taxonomy levels, weight business criticality, and track skill decay.

Taxonomy Architecture

A Living, Measurable Language of Capability

Align HR, department leaders, and employees around an objective, dynamic competency baseline.

Automated Extraction

AI scans job descriptions, role charters, and SOPs to extract granular Hard and Soft competencies automatically.

Bloom’s Cognitive Tiers

Classifies competencies across 6 cognitive depths—from basic understanding to advanced strategic creation.

Dynamic Role Weighting

Assigns relative importance coefficients to skills based on department OKRs and strategic business priorities.

Time-Based Decay Tracking

Calculates skill attrition based on elapsed time since last verified practice, triggering timely micro-refreshers.

Hard vs. Soft Partitioning

Clear structural separation between technical domain proficiencies and executive behavioral capabilities.

Automated Remediation Loop

Discovered skill deficits automatically trigger targeted micro-lessons and simulation drills in the learner stream.

Continuous Recalibration via Real Practice
Dynamic Calibration

Continuous Recalibration via Real Practice

Competency ratings are never based on subjective opinions. Scores dynamically rise as learners complete verified simulations and AI exams, and gradually recalibrate when skills go unexercised.

This gives leadership an unvarnished, real-time map of organizational capability and talent readiness.

Modernize Your Enterprise Competency Architecture

Convert static job descriptions into dynamic, data-driven talent frameworks.

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