Custom competency models can help upskill the workforce at scale by proactively identifying skills and knowledge gaps.
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This article will outline several best practices and prompt engineering tips for using generative AI to develop competency models.
This episode of The Business of Learning offers expert advice that can help you begin building custom competency models for your organization.
During this Training Industry Leader Talk, industry experts will shed light on the imperative of putting skills at the forefront of your organizational strategy.
Training is vital to achieving strategic and tying training to the organization’s goals makes it more relevant and valuable.
Have you ever considered the competencies you need to perform your job effectively? Which skills are most important for training managers to develop, and how can you be sure you are cultivating them appropriately?
How can we use gamification to deliver leadership development programs when the first thing that comes to mind when we think about the term is imaginary beings, contrived competition and cutting-edge technology?
Skills may lead to badges, but badge acquisition isn’t the goal; it’s the outcome. The goal is learning new skills, developing new competencies and improving job performance.
If your L&D team is growing, it’s important to ensure that you find the best candidate for the job – and that you position your organization so that that person will accept the job. Here are some tips to help.
Competency modeling is an approach that methodically and iteratively hones in on the hard and soft skills that differentiate high performers, that link to the organization’s strategic goals and that reflect the values of the company.