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Why Skills-Based Transformations Stall and What You Can Do Differently

Date: 17.6.2026

Time: 14:00 - 14:45 CEST

Language: English

Summary

The skills-based organization has evolved from a fringe concept into a mainstream strategic priority, with most large organizations now actively pursuing some form of skills-based transformation. Yet despite this momentum, only a small percentage are truly realizing measurable value from these initiatives. According to Deloitte estimates, just 15–30% of organizations are meaningfully adopting skills-based approaches in practice.

Many transformations stall somewhere in the middle of the journey — often due to overly complex and bloated skill taxonomies, low employee and manager adoption, or assessment models that lack trust and credibility. This session explores the most common pitfalls that derail skills-based transformations and highlights the critical challenges organizations must overcome to turn ambition into real business impact.

 

What will be covered: 

  • The current state of skills-based transformation initiatives and where organizations are encountering barriers to scale and impact.

  • Pitfall 1: Taxonomy bloat and the challenge of operationalizing skills frameworks effectively.

  • Pitfall 2: The manager adoption gap and the difficulty of translating strategy into consistent day-to-day usage.

  • Pitfall 3: Confusion around proficiency ratings and the lack of trusted, standardized skill assessment approaches.

  • What organizations can do differently to drive sustainable adoption and measurable value from skills-based transformation.

Target audience

HR and people leaders responsible for skills, talent, and workforce transformation initiatives, as well as leaders across learning and development, talent acquisition, talent management, and HR technology.

Speakers

Aimee Thompson
Aimee Thompson
Skills-Based Transformation Expert - Pentos 

If you have any questions, please contact:

Pentos Marketing Team

Pentos Marketing Team

E-Mail: Marketing@pentos.com

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