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Dictionary of 50 Key Concepts in Skills-Based Organization

Your reference guide to master skills-based organization and become "Skills-First".

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The essential dictionary to adopt a "Skills-First" or "Skills-Based Organization" approach.

The approach to managing organizations through skills or "skills-based organization" or "SBO" is multidimensional. This is what stakeholders in this type of project quickly realize. To avoid becoming unwieldy and getting lost, a phased implementation strategy is always required. And to start well, you must understand the dimensions of a skills-based approach.

Mastering the "SBO" vocabulary is therefore essential to communicate effectively with your teams, your technology partners and your consultants.

This comprehensive dictionary offers you a clear and precise definition of the fundamental concepts that shape the future of talent management.

Whether you are a CHRO, talent director, or organizational development expert, this guide will allow you to navigate with confidence in the roadmap of your SBO transformation.

How this dictionary is organized:

  • This dictionary constitutes a comprehensive reference to navigate in the universe of "Skills-Based Organizations".

  • Each concept interconnects with others to form a coherent ecosystem that will transform your approach to skills management, talents and organizational capabilities.

  • At NexaRH, we master these concepts and accompany you in their practical implementation to enhance your SBO transformation.

Table of Contents

SECTION 1 – Skills-based management philosophies

1 – Skills-Based Organization

2 – Skills-Based Organization Strategy

3 – Skills-Based Recruiting

4 – Skills-Based Learning

5 – Skills-Based Succession

6 – Skills-Based Workforce Planning

7 – Agile Skills Matching & Allocation

8 – Skills-Based Performance and Goals

9 – Task Intelligence

10 – Inventory of Organizational Capabilities

11 – Dynamic Skills Intelligence

12 – Talent Intelligence

13 – Precision Training / Precision Training

14 – Skill Signals

15 – Multi-dimensional Skills Assessment

SECTION 2 – The driving forces to adopt an "SBO" approach

16 – Upskilling

17 – Reskilling

18 – Skills Supply & Demand Analytics

19 – Emerging Skills

20 – Speed Skilling

21 – Learning in the Flow of Work / Learning in the Flow of Work

 

➡️ SECTION 3 – Concepts specific to the "SBO" approach

22 – Competency Framework

23 – External Taxonomy

24 – Internal Taxonomy

25 – Skills Ontology

26 – Skills Inference

27 – Skills Adjacency

28 – Cross-Functional Skills

SECTION 4 – The foundations to deploy and operate an "SBO" approach

29 – Job Architecture

30 – Position Architecture

31 – Skills Architecture

32 – Skills Data

33 – Job Description

34 – Job Posting

SECTION 5 – Talent management practices supporting the "SBO" approach

35 – Internal Mobility

36 – Career Aspiration

37 – Career Path

38 – Personal Development Plan

39 – Learning Academies

 

SECTION 6 – Technological capabilities in intelligent skills management

40 – Self-Declaration

41 – Skills Suggestions

42 – Training Suggestions

43 – Talent Opportunity Marketplace

44 – Skills Intelligence Platforms

45 – Competencies and Skills in Workday HCM 

SECTION 7 – "SBO" governance

46 – Skills Governance

47 – Skills Risk Management

48 – Jobs & Skills Observatory

49 – Strategic Workforce and Skills Planning

50 – Skills Ecosystem

Table of Contents

22 – Competency Framework

Definition: An organized structure that defines, categorizes, and prioritizes the skills needed for each role and level in the organization.

 

What you need to know: The competency model is the backbone of an SBO. It provides a common language for describing skills, facilitates their assessment, and supports internal mobility. An effective framework organizes skills into categories (technical, behavioral, functional), establishes levels of proficiency, and sets measurable criteria. Organizations with a solid framework improve the accuracy of talent assessments and reduce hiring errors. Implementing it requires a detailed job analysis, consultation with internal experts, and ongoing validation.

 

23 – External Taxonomy

Definition: Standardized classification of skills based on recognized sectoral or international benchmarks.

 

What you need to know: External taxonomy provides a consistent and shared nomenclature for describing skills. It is based on established frameworks such as O*NET, ESCO (European Skills, Competences, Qualifications and Occupations), or specialized sector frameworks. This standardization facilitates market comparison, skills portability, and integration with talent management platforms. However, it must be adapted to cultural and organizational specificities to maximize its relevance.

 

24 – Internal Taxonomy

Definition: A customized skill classification developed specifically to reflect an organization's unique needs and culture.

 

What you need to know: Unlike external taxonomies, an internal taxonomy reflects the organization's own reality and strategic priorities. It includes proprietary know-how, distinctive skills, and cultural values. When properly constructed, it enables optimal alignment between talent and corporate strategy, promoting a detailed and differentiated assessment. Its development requires strong involvement from internal stakeholders and a rigorous validation process.

 

 

25 – Skills Ontology

Definition: Advanced semantic structure that defines the complex relationships between skills, their dependencies and their interactions.

 

What you need to know: Skills ontology represents an evolution from traditional taxonomies. It maps the relationships between skills: prerequisites, proximities, synergies, transferability. Powered by AI, it supports the personalization of learning paths and the identification of mobility trajectories. Companies that adopt it improve the accuracy of learning recommendations and reduce the time to identify optimal development paths. Its implementation requires knowledge engineering expertise and advanced technology platforms.

 

26 – Skills Inference

Definition: An automated process using artificial intelligence (AI) to infer an individual's skills from various data sources.

 

What you need to know: Skills inference leverages AI, NLP (natural language processing), and semantic analysis to analyze resumes, LinkedIn profiles, project histories, feedback, and digital activities. It detects explicit and implicit skills, estimates proficiency levels, and identifies emerging skills. This automation accelerates the creation of comprehensive profiles and increases their reliability. It supports internal mobility, talent planning, and the detection of “hidden talent.”

 

27 – Skills Adjacency

Definition: Identification of similar skills that allow an employee to move into new roles with little additional training.

 

What you need to know: Adjacent skills facilitate internal mobility and reskilling. They represent skills that can be transferred from one role to another, for example, a customer service representative who can move into an account management position thanks to their communication and analytical skills. Skills Intelligence platforms automatically map these proximities, which accelerates talent allocation and reduces training costs. Their use helps streamline career management and secure the transition to transforming professions.

 

28 – Cross-Functional Skills

Definition: Generic skills applicable in several functions, roles or professional contexts.

 

What you need to know: Soft skills include communication, collaboration, critical thinking, problem-solving, and leadership. They are essential for navigating complex environments and supporting organizational innovation. In an SBO model, they promote internal mobility and strengthen team versatility. Valuing and measuring soft skills is essential for identifying high-potential talent and designing more flexible and inclusive career paths.

 

Resources at Your Disposal

🟣 3- Detailed article on the development of HRIS, AI in HR and Skills (Skill-based Organization) roadmaps

🟣 4- Our mapping of intelligent skills management solutions. Unique on the market. Available for free download.

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Why Choose NexaRH to Develop Your Skills Roadmap?

  • Specialized expertise in position architecture, job architecture, skills architecture, taxonomies, and skills ontologies.

  • In-depth analysis of artificial intelligence technologies applied to talent and skills management, enabling an HRIS roadmap that integrates the most advanced market concepts.

  • Technology neutrality and exhaustive knowledge of the intelligent skills management solution vendor ecosystem, ensuring objective recommendations based on your specific needs rather than commercial partnerships.

  • Proven SBO transformation methodology with personalized support that considers your organizational maturity, technology constraints, and strategic objectives to guarantee successful and sustainable adoption.

Ready to Chart Your Organisation's Skills Future?

Ready to transform your HR technology landscape?

Contact NexaRH today for a strategic consultation.

Digital Strategy & HR Transformation

NexaRH specializes in providing strategic support to organizations seeking to modernize their HR technology ecosystem with current and emerging capabilities to improve efficiency, improve the quality of business decisions, and enhance their experience.

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