magpie starts with a conversation. This is refreshingly engaging for the busy modern worker.
The chatbot introduces itself, provides some information on how best to use the system and asks some basic role-related questions.
That's all we need to make initial recommendations. Or learners can chat some more, reveal more and get more precise suggestions.
The questions we ask here can be tweaked to your requirements. Find out how here.
Personalizing learning experiences requires a deep understanding of modern workforce skills. 10 years of work delivering content and a recent collaboration with London Economics gives us that.
We are able to personalize the learning experience using our proprietary algorithm stack, magpie, which classifies, clusters and prioritizes each asset for each user.
The playlist enables users to save assets they are interested in from a range of different skills areas into one place as they scroll through the dashboard.
We’ve crawled through hundreds of thousands of public and private learning assets.
Our in-house, human curators then apply a final filter so that the pool of assets from which recommendations are made is the best it can possibly be. We work with you to get to this list.
We have a ready-to-play list of 500+ public domain assets (from the likes of TED, HBR, Forbes) which you can view here.
Customisable inputs in magpie will help you generate deep insight into the skills gaps and the organisational capacity of your company.
Where are your greatest needs? What content helps your people and what doesn’t? How do they spend their time at work? How do departments, teams and individuals compare?
Use magpie to deliver a personalized service to individuals as well as a to shape your content and learning strategy.