Ep. 21 It's time for some real-talk on skills frameworks

Keywords

skills frameworks, performance improvement, learning and development, EdTech, agile learning, AI in education, stakeholder engagement, data analytics, organizational culture, continuous improvement

Summary

In this conversation, Greg Arthur and Phil Lord-David delve into the complexities of skills frameworks within the learning and development (L&D) sector. They discuss the importance of starting with business outcomes rather than merely mapping skills to roles, the pitfalls of traditional frameworks, and the need for agility and iteration in skills development. Phil emphasizes the significance of understanding the real problems within organizations and the role of technology, particularly AI, in enhancing skills frameworks. The discussion also touches on the cultural context of skills, the separation of skills from performance, and practical steps for building effective skills frameworks.

Takeaways

Starting with the right questions is crucial for success.

Focus on business outcomes rather than just skills mapping.

Agility and iteration are key in skills development.

Understand the real problems employees face.

Technology should enable insight, not just track completions.

Skills frameworks should evolve over time.

Engage with senior leadership to align on goals.