How To Turn Your Big L&D Challenges Into Wins | L&D Disrupt | Episode 65
May 1, 2024
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Nelson Sival, CEO of HowNow, discusses tackling big L&D challenges like mapping skills with AI, engaging learners, and centralizing information. Topics include the Engagement Gap, AI for long-term impact, demonstrating impact, and tackling incomplete data.
Utilizing AI for mapping and measuring skills can bridge gaps efficiently and adapt to changing business needs.
Addressing the engagement gap in learning initiatives is crucial for driving performance improvement and desired outcomes.
Focusing on skills proficiency and personalized learning pathways over content creation can lead to impactful L&D strategies.
Deep dives
Using AI to Solve L&D Challenges
Leveraging generative AI to tackle complex L&D challenges such as mapping and measuring skills is crucial. AI can help in quickly generating core skills taxonomy based on real-time job market data and aligning it with organizational needs. By utilizing AI for this purpose, organizations can efficiently bridge skills gaps and adapt to the changing business landscape at the required speed and scale.
Bridging the Engagement Gap in L&D
Engagement in learning initiatives is vital for driving desired outcomes like behavior change and skill development. Focusing on engagement as the primary requirement can significantly impact performance improvement. Identifying the reasons for the engagement gap, such as pushing out irrelevant content and ignoring contextual factors, is essential. By addressing engagement challenges effectively, organizations can increase the potential for driving desired outcomes and impact.
Transitioning from Content to Skills Focus
Shifting the focus from creating content to building the right skills in the workforce is crucial for impactful L&D strategies. Recognizing the significance of skills over content and aligning learning offerings with skills gaps can drive meaningful impact. The conversation around skills in L&D is evolving, emphasizing the need to measure skills proficiency and create personalized learning pathways to enhance performance.
Importance of Comprehension over Communication
Emphasizing comprehension over communication in data storytelling and metric selection is essential. It is crucial to measure metrics that indicate impact and are aligned with business goals. Utilizing skills as a universal language to bridge the gap between L&D activities and organizational outcomes can enhance the understanding of impact narratives and business performance.
Centralizing L&D Data for Impactful Reporting
Centralizing learning and development data is key to achieving impactful reporting and demonstrating the value of L&D initiatives. A single view of all L&D data enables organizations to make informed decisions, track skills development, and connect learning investments with skills outcomes. By removing data fragmentation and building a comprehensive picture of learning, organizations can effectively showcase impact and drive strategic decisions.