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Discover the Latest Trends in 2025: Newest Developments

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  • The learner has the skill or skills; if they lack them, they can take content to skill up (however, the latter doesn’t appear in every system, as it relates to “content.”
  • Learner’s skills match an opportunity (some vendors list a percentage by it or identify the strengths of specific skills)
  • The learner sees the opportunities (some vendors list all the opportunities, even if the learner doesn’t have the skill set(s) for them)
  • Learner applies for that opportunity.
  • Manager reviews the opportunity (This I find is weird because often it is the current manager, not the hiring person. In the current manager reviews the opportunity item, they either accept or deny)
  • Assumption opportunity is a go – it goes to the hiring manager (For those systems that do not require the current manager to accept or deny)
  • The hiring manager or whomever either accepts the learner to go to the next step or denies it (often, the learner does not see the results. Rather, it is offline)
  • The approach angles not to those higher up, seeking opportunities that may align to them, say, director, senior director, VP, and so forth (I haven’t seen this in any of the opportunities, although I assume there has to be at least one system that offers it)
  • Some systems use AI in this aspect, ignoring fake or fake information and AI bias – an issue. Equally, some states require specific approaches – i.e., applying for a job, even if it is internal. There are vendors unaware.
  • Learner’s percentage of skill knowledge – Manager reviews the skill and validates or not (the latter is common, but the rate isn’t)
  • The assumption automatically that the learner’s skills or skill is 100% accurate – If I am a manager with 50 people or more under me, am I going to know the skill proficiency of my employees, especially if they are in various job roles on topics I am unfamiliar with?)
  • Content recommendation to boost that skill (I have seen this part, but again, even if listed, it doesn’t state the recommendation percentage, and more than standard, it becomes an assigned piece, which shouldn’t be the case. We are talking about learning and training, not you are a robot and here is a widget, so learn it – without any insight into what you already know parts of the widget)
  • Interests are often ignored even though systems have them – not all; it isn’t common.
  • There is never a skill for empathy, yet in a study I did with CEOs, the most common requirement they sought was empathy.
  • A pre-assumption that if someone is perfect for that opportunity, they will either get that opportunity or go to the next step.