Managing learning resources can be a challenging task, especially since most large organisations end up with easily more than 100,000 learning assets at their disposal. We are in the midst of a learning content overload crisis.
L&D’s job is to make sure that these resources are kept up-to-date, organised, tagged and well... used by employees. But how can L&D professionals succeed at ongoing learning content management while also juggling all their other pressing responsibilities to upskill their workforce? Here are three things to consider to make managing learning resources just a little bit easier and more effective.
Before we go into the details and actionable steps on how to manage learning resources, there’s some groundwork that we need to lay in terms of what are the kinds of content and is unique about each.
At Filtered, we classify learning resources or learning content into 3 categories:
Learning is most potent when it draws from the widest pool of human experience. Learning resources on their own are of course not the answer to effective learning, but they are the starting point. But how do we identify the most relevant learning resource piece?
The glue that binds it all together is skills. Skills are the common currency of work, and we use them to understand people’s ability to complete their roles and tasks on the one hand, and learning content’s potential to increase that ability on the other (to learn more about how to define skills and build strategic skills frameworks, head over to our in-depth Skills Landscape lightpaper). In the meantime - tags are the means by which we codify and scale that understanding of skills and link it to content.
Good tagging is an essential enabler of effective information exchange and learning. And almost no one gets it right. Most learning resources are poorly tagged - either too broadly or not at all.
This leads to less accessible learning for your team, and irrelevant results from the recommendations engine within your learning stack. If your team can’t find the resource they need - you need to step up your tagging game.
A foundational step here is tagging all of that content with one or more of the skills from your transformative skills framework. This can be complex to achieve if you have hundreds of thousands of learning resources, however, here are some of the tips to make it work:
To make your content even more relevant, you should make your learning resources as unique to your teams as you possibly can. Combine skills with some of the factors below to get to a smaller set of material which will go down better and make more of an impact than lists of endless, generic content.
Much of what we discussed above are best practices to consider when manually tagging your learning content. But - manual tagging is a lot of (unnecessary) work. Intelligent, skills-focused NLP algorithms can hugely accelerate the curation process so that within a few minutes you have a small, manageable subset of content which is fit for the skills and behaviours and awareness that your organisation wants to see more of in your colleagues. Your commentaries, exercises, pathways and campaigns will be all the more nourishing and appreciated for this.
Once you’re up and running, it is time to remember to regularly evaluate your learning resources, promoting the good and retiring the bad. This is how Filtered helps our clients to do exactly that.
First, we make a balanced scorecard assessment. We look at a range of measures which all contribute to potential conclusions. Those are the obvious clicks and completes, or it can also be usefulness scores if you have this type of data in your LXP. Whether this functionality is available or not, you should go directly to learners and run automated surveys of learning resources to find out if applied the knowledge in their roles and if it contributed to business outcomes.
This could become a messy process, so we’d recommend getting the numbers at the start (clicks and completes), nuance towards the end and combine the two perspectives. By adopting an approach like this, you can generate a report which ranks individual pieces of content and aggregates up to rank providers according to that metric. You should do this regularly, ideally quarterly, in order to discuss that data to then retire or promote pieces of content or entire libraries if it comes to it.
You should also regularly assess relevance across all of your libraries to your skills frameworks as they evolve, ideally using a tool such as Content Intelligence.
Once you collect this data, you can use it not only for ongoing curation, but also during procurement when negotiating with library suppliers.
However, as with any mix of quantitative and qualitative data, to turn it into insights that inform your skills strategy, you should mix human consultation and algorithms. This data will then help you inform two levels of decision making. Strategic and tactical.
With any data-led transformation process, the key to success lies in human influence. Businesses do have a huge amount of data that can help their learning, and accessing it is essential. But, without people who can get clear answers from disparate data and understand what those answers mean in an L&D context, organisations are working with hot air.
To take your learning resource management game to the next level, check out our full Buyer's Guide to Learning Content.