At a high level:
Channels are learning microsites that provide structure and ownership
Collections group related content together for visibility and discovery
Tags describe content using reusable attributes for filtering and organization
Tracks guide learners through structured learning journeys
These features work together; the same content can belong to a channel, appear in a collection, have multiple tags, and be included in one or more tracks.
Channels: Create learning microsites
Channels function as learning microsites, providing a dedicated home for content. They are typically aligned with a learning team, function, or long-lived initiative and help clarify ownership and audience.
Channels are best used when:
A team or function needs its own learning destination (for example, Sales Enablement, Engineering, or People Managers)
Content should be visible only to a specific audience
Branding, ownership, and governance are important
Best practices
Create channels for long-term teams, functions, or strategic initiatives
Avoid creating channels for short-term topics, individual tools, or skill levels
Keep the number of channels intentional so learners always know where to go
While content will be owned by a single Channel it can always be shared across multiple channels
Collections: Curate content for discovery
Collections are curated groupings of related content that live within channels. They help learners quickly understand how content fits together and make exploration easier.
Collections are best used when:
You want to group content around a specific topic or theme
The grouping should be visible and easy to browse
You want to highlight recommended sets of content
Example
Inside a Generative AI channel, collections might include:
Getting Started with Generative AI
ChatGPT
Gemini
AI Use Cases by Team
Collections help answer the learner’s question: “What should I explore together?”
Tags: Add reusable attributes for filtering
Tags are flexible labels that describe content and make it easier to filter and organize across channels and collections. Unlike collections, tags are typically used for classification rather than visible grouping.
Tags are best used for:
Skill level (Beginner, Intermediate, Advanced)
Series levels (100 / 200 / 300)
Skill areas (Leadership, Communication, AI Literacy)
Content type (Workshop, Demo, Deep Dive)
Best practices
Use tags that are reusable across many pieces of content
Keep tag naming consistent across teams
Avoid creating tags that duplicate existing collections
Tags help answer the learner’s question: “What kind of content is this?”
Tracks: Create structured learning journeys
While Channels, Collections, and Tags help organize and classify content, Tracks guide learners through a recommended or required sequence of learning experiences.
Tracks are best used when:
Learners should complete content in a specific order
You want to define onboarding, certification, or skill-building paths
Progress and completion tracking are important
A single piece of content can:
Live in a single Channel, but can be shared across multiple
Appear in one or more Collections
Have multiple Tags
Be included in one or more Tracks
This separation allows your organizational structure to remain stable while learning journeys evolve over time.
Recommended responsibility model
To maintain consistency across your site:
Admins typically design and manage Channels, establishing the high-level structure and governance
System organizers and content owners typically create Collections, apply Tags, and build Tracks, curating how learners explore and progress through content over time
This collaboration ensures the site remains structured while still allowing teams to organize learning flexibly as needs evolve.
Quick decision guide
Use Channels when you need a learning destination for a team, function, or long-term initiative.
Use Collections to visibly group related content within a channel.
Use Tags to create reusable labels that describe content and support topic-based filtering.
Use Tracks when you want learners to complete content in a guided sequence.