Picture this: you’re a Chief Learning Officer across a major global enterprise. Six months ago, you invested seven figures in a third-party content library to drive learning and performance across the organisation. Your biggest fear and conundrum is usage and engagement, and, low and behold, six months later no one’s using it. You’re out of pocket and your ROI is zilch, despite having a vault of content you’ve bought and paid for.
The underlying reason is simple: access to the knowledge contained within third-party libraries via their own functionality is limited, returning shallow, course-based results that are often not as helpful as they could be. In other words, their search function isn’t great, and people can’t find what they need, so they don’t use the library.
It’s a big problem that needs to be solved, and we couldn’t be happier to announce that with the Fuse Knowledge Intelligence Engine, we have the solution. If you are concerned that you aren’t getting the value you expected from your third-party content libraries, read on to hear how Fuse can help you do it.
Turning 8000 Courses Into 300,000 Micro Learning Assets
Check this out: last week LinkedIn Learning told us that we're the only learning partner of theirs (that they know of) that indexes, searches and recommends LinkedIn Learning at the video level (not just at the course level, like the rest of their learning partners.)
To fully help everyone understand how significant this is, we’ll explain it a bit further: LinkedIn learning has 8000 courses, made up of 300,000 videos and assets. Fuse is able to find actual specific, pinpointed content users are searching for within the 300,000 videos - not course titles from the 8000 courses available. This is how consumers and users and learners want to engage with content. Transforming 8000 courses into 300,000 micro learning assets - sounds promising for ROI from the start, right?
How Are We Turning Courses into Micro Learning Assets?
In short, we’re making it easier for users to find what they need by providing better search technology.
Fuse connects to third-party libraries seamlessly and is now able to search deeper than their own search engines, quickly getting to the point within their content that actually gives the answer that learners need.
It is enhancing the value of the content that lives outside of the Fuse platform in these libraries, which is improving engagement and ROI on the investment.
Our new search engine uses Google AI to implement Natural Language Processing (NLP). This allows us to understand the intent of a user’s search query and helps us apply dynamic filtering to get you closer to your answer than ever before. By combining that with our Knowledge Intelligence Engine, you get the consumer-grade Google experience!
Fuse search finds more results and better results. It means that it instantly expands all the available knowledge for an organisation to include both what is inside and outside of Fuse - and that users are more likely to get the best possible answer to a query from the biggest pool of knowledge.
This level of search also appeals to pain points that we all have as learners and humans. We forget things, even if we’ve only looked at them a few days before. The ability to quickly search and locate specific knowledge within a video is extremely helpful.
We’re also time and resource-conscious, and want to work as efficiently as possible. Who has time to do a whole course when all you need is one answer? If you’re a beginner with Google Slides, chances are you can pretty much figure a lot of it out, likely having used PowerPoint at some point in life. But if you forget how to do transitions in Google Slides, you just want to watch the part of the help video on transitions, not the whole thing. Fuse will get to that exact part with its search.
Predictive Search, One Step Away
Uniquely, Fuse search is one click away across all applications. In time, Fuse will also have the ability to predict what learners are going to need - what micro learning lessons are most appropriate based on their current task or activity.
This will be available via Fuse Flow, which will take micro learning usage to another level by placing search closer to the need.
This is the first time that predictive performance support has been integrated with modern learning technology, guiding learners seamlessly from a problem to the right knowledge that will help them to solve that problem in the best possible way.
Pulling third-party content libraries and making them searchable via Fuse is also a great collaboration effort. It’s like turning 300,000 micro learning assets into a knowledge bank.
Rather than having to put all the time and effort into growing your own knowledge base, you can just plug the Fuse Knowledge Intelligence Engine in. It's the dream: suddenly your knowledge is infinitely expanded. If you've got outside videos, LinkedIn Learning, the Harvard Business Review, all of these things put together - it's like being able to ask the experts outside your company questions as well as the ones you work with.
Ultimately, CLOs need to find a way to get better value from third-party libraries, and the answer lies in finding an engine that can provide better, more targeted search and integration. The future will also lie in predictive search and recommendation, and over the next few months, you’ll hear more about how the Knowledge Intelligent Engine and Fuse Flow can help you do this.
If you would like to learn more about how learning leaders are leading the quest for a better, more purposeful learning experience that impacts the bottom line, read our Knowledge in the Flow of Work ebook today.