Filtered dynamically generates learning playlists according to almost any criteria, including topics, skills, preferences and user behaviour. Or we can foreground structured pathways chosen by humans.
We work with you to create a data-driven skills framework then automatically tag your learning assets against it. Then, we present this content through smart ‘playlists’ which are personalised to the unique skill signature of every user, all in our smart LXP.
Playlists on any topic can be generated by magpie (our algorithm-stack) or chosen by humans. You decide exactly which playlists to show, what order they’re in and who to show them to.
Priority skills are determined by the magpie engine based on the user’s role, current situation and expressed goals - their skills signature.
Each playlist includes a set number of assets for a skill, delivered according to the other top priority skills for the user.
For example, a senior leader needs a very different set of ‘leadership’ content to a junior manager.
Feature hand-picked assets in a single playlist for all users or a particular group to coincide with particular campaigns or emergencies.
Curate learning that feels just right for the current situation based on the needs of your people.
Configure them with custom hero images, titles and descriptions.
What other providers call ‘learning paths’. Assign playlists to particular groups of users based on their profile information. Then deliver them to complete in a certain order or only at certain times.
Our data shows that users bookmark a lot more content than they complete. It’s important to:
These playlists use user behaviour to make learning recommendations. The four core recommendations playlists we've deployed so far are:
Every event, problem or goal has its own skill signature - a set of priority knowledge or competency areas required. Goal-based playlists take the skill signature for that goal and calibrate it against the skill signature of the user, so everyone gets the perfect recommendations for their performance goals, such as:
This playlist uses existing users’ activity data to recommend useful resources to similar users. And we avoid filter bubbles using the skills signature to match users rather than the content.
Filtered starts by sensitively using role and goal data and intelligent mapping to achieve 50% usefulness rates from a cold start. Machine learning raises that to 90% after a few clicks.
Tag content automatically and generate new matches based on your bookmarks to make building new playlists a breeze. We’ll handle the curation. You focus on the learning experience.
The full suite of playlist functionality can be deployed via the Filtered API so that you can embed contextually smart recommendations in any system.
“Filtered's passion, flexibility and beta mindset are an example of how we want to work with partners. Thanks for making marvelous things with us and for us!”
Global Talent Development, Procter & Gamble
“Filtered help connect the dots of L&D resources using AI and machine learning - personalizing great content for our talent.”
Global L&D Director, MCI Group
"Filtered takes competencies and skills we want in the business and intelligently provides learning recommendations at the individual level."
Pieter Manniche Riber
Head of Digital Learning, Novo Nordisk
“The real key is intelligently recommending the right content to each user in a personalized way. These are the things that companies like Filtered are working on – making learning ever-more relevant in the flow of work.”
Principal Founder, Bersin by Deloitte
"Working with Filtered has proved to be an effective and powerful partnership. It has put a meaningfully personalised platform in the hands of engineers at rest at the very moment that they needed it."
"Filtered represents the future, actually the present, of AI in learning."
Donald H Taylor
Chairman, The Learning and Performance Institute
"This is the technology that Royal Mail Group has been waiting for to deliver digital learning via quality recommendations."
Head of Digital Learning, Royal Mail Group
"I can’t begin to tell you how pleased I am that Filtered has launched at Nottingham and how grateful we are for your work and patience as we worked through the implementation."
Dr Nalayini Thambar
Director of Careers and Employability
“Introducing Filtered was such a departure from how L&D used to be done at Reach. Filtered is the perfect embodiment of what the department itself offers. We’ll give you the tools so you can make your masterpiece.”
Group L&D Business Partner, Reach plc
"We chose Filtered because they are the only provider we know of who combine an advanced personalization tool with content curation expertise and the data analytics expertise to prove ROI for our customers."
Strategic Change Manager, City & Guilds
"I've never seen a system that works in this way and believe it will be the future of learning. Non-linear and personalised. The team are fantastic to work with and are open and willing to share their knowledge and expertise"
Director of Programmes & Leadership Innovation, Clore