Smart playlists

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.

automatically build playlists

Assets + Skills = Playlists

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 the Filtered engine or chosen by humans. You decide exactly which playlists to show, what order they’re in and who to show them to.


Explore recommendations for an in-focus skill

Priority skills are determined by the Filtered 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.

playlists (1)


Playlists of promoted content

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.



Playlists with a beginning, middle and end

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.



Save stuff for later

Our data shows that users bookmark a lot more content than they complete. It’s important to:

  1. Remind them to come back and complete it via multichannel campaigns
  2. Use that data to reveal user preference and generate enticing new playlists



Behaviour-based recommendations

These playlists use user behaviour to make learning recommendations. The four core recommendations playlists we've deployed so far are:

  • Good matches for the skill signature generated from content the user has bookmarked
  • Good matches based on what the user has marked useful
  • Your activity - recommendations-based learners actions: views and launches
  • Your overall profile - recommendations based on everything we know about the user




Suggestions to solve common learning problems

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:

  • Achieving a promotion or pay rise
  • Moving into a different role
  • Becoming a manager for the first time
  • Navigating the performance review process
Goal-based playlist


Learning that people like you found useful

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.

artificial intelligence

Explainable, effective AI

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.


AI-assisted curation

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.


Available via API

The full suite of playlist functionality can be deployed via the Filtered API so that you can embed contextually smart recommendations in any system.

Josh Bersin

Content intelligence is a powerful solution for streamlining content, engaging learners with the most relevant content, and maximizing ROI on learning.

Josh Bersin

Global Industry Analyst

Rosemary Hoskins

"Content relevance analysis provided striking results, informing the decision to conduct an in-depth market analysis before committing to new multiyear contracts for learning content libraries."

Rosemary Hoskins

Global Capability Lead, AstraZeneca

Martin Peart, GSK

'I had 70,000 or 80,000 content items available across different partners, it was overwhelming. When I started working with Filtered, I realised there are better ways to do it. Using technology and algorithms we were able to focus on the right pieces of content for different skills.'

Martin Peart

People Effectiveness Director, GSK

Avinash Chandarana

“Filtered help connect the dots of L&D resources using AI and machine learning - personalizing great content for our talent.”

Avinash Chandarana

Global L&D Director, MCI Group

Nicole Stead - Heineken

‘The Filtered platform really helps us to improve the overall learning experience in a way that, in Heineken, we have never been able to do before."

Nicole Stead

Global Digital Learning Lead, Heineken

Binda Patel, Sutton Trust

“We wanted to leverage the technology offered by Filtered to provide a really personalised journey for our students. It's incredibly smart how much their technology improves the more our students interact with it."

Binda Patel

Head of Innovation, The Sutton Trust

Dr Nalayini Thambar, University of Nottingham

"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

Donald H Taylor

"Filtered represents the future, actually the present, of AI in learning."

Donald H Taylor

Chairman, The Learning and Performance Institute

Peter Manniche-Riber

"Filtered takes competencies and skills we want in the business and intelligently provides learning recommendations at the individual level."

Peter Manniche Riber

Head of Digital Learning, Novo Nordisk

Francesco Mantovani

“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!”

Francesco Mantovani

Global Talent Development, Procter & Gamble

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