Trouble tracking proficiency

Trouble Tracking Proficiency?

Fulcrum Labs
138 posts

“Understanding an employee’s proficiency and engagement in a learning program is emerging as a far more effective measure of whether training investments have paid off, or where knowledge and skills gaps still exist.”Training Journal

One of the things we hear most often from our partners is that they struggle with how to quantify the performance of their programs. They have a hard time determining how proficient their learners are post-training, and anticipating how accurately they’ll apply what they’ve learned back on the job.

Is that something you’re organization’s experiencing as well?

Here’s the thing: today’s L&D teams are up against some pretty serious challenges. Not only do they often feel overwhelmed by their training to-do lists, but they’re also battling resource and technology constraints that hem in their ability to measure programs as effectively as possible. For example, most L&D teams don’t have access to dedicated data scientists who can pluck value out of raw learning and performance data. This means, they have to rely on the data from:

  • Their own analysis of pre and post assessments
  • Post-learning satisfaction surveys
  • Legacy technologies that are not sophisticated enough to evaluate learning at the proficiency level

We get it. It’s a real catch 22.

But, the fact remains that proficiency is a pretty important metric to track. There are loads of reasons for this. It makes it easier to identify and remediate knowledge gaps. It helps L&D define where they need to focus additional training resources that will lead to real word gains in terms of business objectives. And perhaps just as importantly, it helps L&D quantifiably demonstrate the ROI of their programs to the c-suite

So the question becomes: how can you evaluate proficiency without further stressing your L&D team?

Based on our experiences, we think the answer is lies in choosing a technology partner that can help move your analytics across the proficiency goal line. Here are four things that learning departments can do to improve their ability to measure proficiency:

  • Built-In Data Science – Engage with eLearning technology partners that have built-in data science capabilities, thus removing the burden of data analysis from the shoulders of L&D
  • AI-Powered Technologies – Choose technologies that leverage AI and machine learning to determine the depth and degree of mastery and predict future knowledge application by mapping and evaluating learner performance AND behavioral metrics
  • Confidence Builders – Look for solutions that not only measure learner confidence but actually build confidence – a key indicator of proficiency
  • Fully Integrate Employee Proficiency Data – Find a technology solution that can leverage collected external performance data to complete a full feedback loop with exponential results

By integrating a learning technology that delivers on the points above, organizations will have an easier time building proficient workforces and measuring proficiency in a quantifiable way. This will help L&D reach its highest callings – mastery, confidence and application – and ensure they have a seat at the table with the c-suite.

Fulcrum Labs moves organizations beyond traditional training metrics and allows them to delve more deeply into the knowledge, skills and proficiencies of their workforce.

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