Maximum performance: It’s the goal of every organization. But how do you get there?
Shifting your focus from simply meeting the minimum training requirements to actually achieving an elite level of execution is no easy task. But thankfully, through the use of predictive learning, the next evolution of training will revolutionize the workforce.
That’s a pretty big assertion. But the reality is closer than most realize; it’s here.
Organizations that want to improve training to go beyond meeting minimum standards for compliance can leverage event-based data to identify incident or performance patterns, and respond with prescriptive training to mitigate potential risks and optimize performance.
Predictive learning platforms – such as our iConnect Training Recommendation Engine (more on that later) – empowers organizations and their workforce with the ability to identify high-risk and dangerous behavior – and the ability to respond in real time with customized and automated training material.
In fact, a 2018 LinkedIn Workplace Learning Report found that 68 percent of employees prefer to learn at work, 58 percent prefer to work at their own pace and that 49 percent prefer to learn at the point of need. Further, additional LinkedIn studies found that 20 percent of job training is ultimately time wasted as learners never apply their training to their job, 67 percent of learners may apply the lessons learned but still inevitably revert to previous habits, and 45 percent of training content is never applied – ever.
But predictive learning can change all that considerably.
Predictive – and subsequently prescribed – learning leverages third-party data according to what learning needs someone has in real time at the exact place and moment of need. According to eLearning Industry, ‘Predictive analytics rely on algorithms and LMS data to anticipate which online training resources a corporate learner needs and how they will perform in future corporate eLearning courses.’
But what does that look like in the context of an on-the-job employee?
Predictive learning takes training steps further wherein the user doesn’t have to seek information out; the system is integrated with an LMS so the system delivers the employee exactly what they need – before they may realize they need it.
The LMS collects and analyzes all the data, applies algorithms, and then provides training opportunities accordingly. The result is employees with highly personalized online training that bridges the knowledge, skill and experience gap and improves workplace performance. As an added bonus, external data sources can also be integrated into the system to provide a more complete and exhaustive employee profile, including customer surveys, manager evaluations, and on-the-job observations.
Predictive learning can be proactive. Imagine an electrician servicing a building who places a work order for a light bulb. That data feeds into the LMS which then then prompts the delivery of lightbulb-specific training – prescribing a ladder safety course to the technician, other safety precautions, installation recommendations and more – in a customized, organization-specific way that’s linked to performance.
Further, predictive learning can be reactive, too. Now imagine that same electrician has a history of accidents. Predictive learning and analytics can help address that, too. The system could then be prompted to deliver extra training in the areas of weakness that may be responsible for the recurring accidents.
Our iConnect Training Recommendation Engine serves organizations that want training to go beyond meeting minimum standards for compliance by leveraging event-based data to identify incidents or performance patterns. Armed with this information, they can respond with prescriptive training to mitigate potential risks and optimize performance.
Simply put, predictive learning’s real-time training data delivery provides one major benefit to organizations: savings.
Predictive learning can save organizations thousands of dollars in insurance claims which, over time, such savings can prove immense.
Still not convinced? Consider these additional benefits:
Safety. With predictive data, businesses can gain a better, more complete understanding of why incidents occur and proactively employ strategies to prevent them – rather than reactively – which reduces accidents( and saves money on insurance claims).
Customization. Every employee is unique and as such, their training should reflect that. Training – where once one-size-fits-all – can now be highly customized and narrowly tailored. Further, predictive analytics facilitate individual employee evaluations according to gaps, goals, and preferences.
Tracking. Predictive analytics can track the career progressions of employees – those who proactively seek up skilling training resources, for example – so that organizations can better project their professional path and long-term commitment to the company.
Retention. The LMS can help reveal that an employee is no longer participating in online training activities or conversely, is actively seeking opportunities for learning and career development. Either revelation, however, provides invaluable insight into the long-term mindset of the employee.
Satisfaction. Individualized, personalized training and attention translates into increased productivity, training participation and ultimately, overall satisfaction. And when employees are empowered to choose the online training activities that are meaningful to them, they become more invested in the process – and organization.
Predictive learning has paved the way for a more efficient, effective and proficient workforce. With learning modules prompted at the exact time and place of need – or even ready-and-waiting for proactive employees eager to advance their careers – there seems to be no limit to how organizations can maximize and optimize employee performance, mitigate risks and benefit their bottom line.