Skills Taxonomy
Build and maintain the skills vocabulary that powers all talent decisions. AI-assisted creation with industry frameworks and continuous updates.
One taxonomy powers every capability—career pathing, succession, performance, and more. No more skills silos.
Skills chaos slows everything down
Most organizations have inconsistent skills data scattered across systems—different names for the same skill, outdated taxonomies, and no clear hierarchy.
The WeSoar Solution
Everything you need to build your skills vocabulary
Hierarchical Structure
Organize skills into categories, subcategories, and individual skills with clear parent-child relationships.
Industry Frameworks
Start with SFIA, ESCO, O*NET, or industry-specific frameworks. Customize to your organization's needs.
AI Extraction
Extract skills from job descriptions, resumes, and learning content using AI. Build taxonomy from your actual data.
Skill Relationships
Define relationships: prerequisites, adjacencies, substitutes. Power intelligent recommendations.
Emerging Skills
AI identifies emerging skills from market data. Stay ahead of skills evolution in your industry.
Proficiency Levels
Define proficiency scales with clear behavioral indicators. Consistent measurement across the organization.
From chaos to clarity in weeks
Import
Import existing skills from your HCM, LMS, JDs, and other sources.
Normalize
AI deduplicates, normalizes, and suggests hierarchy.
Review
Subject matter experts review and refine the taxonomy.
Deploy
Publish taxonomy and sync across all connected systems.
One taxonomy, everywhere
Your skills taxonomy becomes the foundation for all talent decisions across WeSoar and connected systems.
Unified Skills Graph
Every WeSoar capability draws from the same taxonomy, ensuring consistency across career pathing, succession, performance, and more.
Powers These Capabilities
Skills Ontology vs Taxonomy
WeSoar uses a dynamic ontology that goes beyond simple hierarchical categorization to model complex relationships between skills.
Why Ontology?
Unlike static taxonomies, our ontology dynamically links skills across categories and roles, incorporating proficiency levels, relevance over time, and interdependencies.
Ontology vs Taxonomy Comparison
Four dimensions of workforce capability
Our comprehensive skill framework covers all dimensions needed for a future-ready workforce.
Technical Skills
Skills directly applicable to specific tasks, processes, or technologies across various industries. Includes software programming, machine operation, financial analysis, and strategic business management.
Cognitive Skills
Mental processes necessary for effective learning, problem-solving, and decision-making. Includes critical thinking, creativity, analytical reasoning, and complex information processing.
Emerging Skills
Skills related to newly developing technologies, practices, and societal trends. Encompasses digital literacy, sustainability, environmental management, and new media platforms.
Behavioural Skills
Skills that enhance personal effectiveness and interpersonal interactions. Includes teamwork, leadership, communication, empathy, and emotional intelligence.
Why emerging skills matter
Future-Ready Organizations
Enable continuous alignment with technological advancements and evolving societal needs.
Driving Innovation
Quickly pivot, adopt new technologies, and stay competitive in dynamic markets.
Future-Proof Workforce
Ensure people can seamlessly evolve into new roles as industries transform.
Bridge Talent Gaps
Proactively identify and build emerging skills to prevent future shortages.
Frequently Asked Questions
How long does it take to build a skills taxonomy?
With WeSoar's AI-assisted approach, organizations typically build a comprehensive skills taxonomy in 4-6 weeks. The platform extracts skills from existing job descriptions and employee data, then maps them to industry frameworks, significantly reducing manual effort.
Can we use our existing skills framework?
Yes. WeSoar supports importing existing taxonomies and mapping them to industry standards like SFIA, ESCO, or O*NET. You can also start fresh with AI-generated suggestions based on your job descriptions and industry.
How does WeSoar handle skill synonyms and duplicates?
WeSoar's AI automatically identifies skill synonyms (e.g., 'Python' vs 'Python Programming') and suggests consolidation. Human reviewers approve changes before they take effect, ensuring accuracy.
Does the taxonomy support Arabic?
Yes. WeSoar provides native Arabic NLP support for skills taxonomies, not just translation. This ensures accurate skill matching and search for Arabic-speaking organizations.
Ready to build your skills foundation?
See how WeSoar can help you create and maintain a unified skills taxonomy.