Skill Levels in Content Recommendations

Overview

Skill levels help personalise the learning experience by matching content to a learner's current abilities and future goals. By tagging content with skill levels, you ensure learners receive recommendations that are appropriately challenging—not too basic, not too advanced.

This feature creates a more targeted development journey, helping learners progress through content that builds on what they already know.

Functionality Breakdown

What does the feature do?

• Allows Admins and Learning Designers to tag content with defined skill levels (e.g. Beginner, Intermediate, Advanced)

• Enables the platform to recommend content based on:

  • A learner's current skill levels

  • Configurable matching options:

    • The user's level only

    • The user's level and above

    • Above the user's level

    • All levels, prioritising the user's level

• Ensures learners aren't recommended content that is too basic or already mastered

• Refreshes content recommendations automatically when learners progress to a higher skill level

Pre-requisites

To use skill levels in content recommendations, you'll need:

• Skills feature enabled on your account

• Skill levels enabled in Company Settings

• Content tagged with relevant skills and skill levels

• Learners with skills and skill levels set on their profiles

Required User Roles

Quick Start Guide

For Admins: Enabling and Configuring Skill Levels

1. Ensure Skill Levels Are Enabled

   • Click your profile image in the top navigation bar

   • Select Company Settings

   • Navigate to Learning Taxonomy → Skills

   • Check that skill levels are enabled

2. Configure Recommendation Settings

   • Choose how skill levels should influence recommendations

   • Options include matching at user's level, above, or prioritising their level

For Content Creators: Tagging Content

1. Upload or Edit Content

   • Click the + button in the top navigation bar to upload new content

   • Or navigate to Learning content → Manage Items to edit existing content

   • Locate the relevant piece of content and click Edit

2. Apply Skill Levels

   • In the content editor, find the skills section

   • Select the relevant skill(s) for this content

   • For each skill, choose the appropriate level that matches the content's difficulty

3. Save Changes

   • Once saved, the content becomes eligible for personalised recommendations based on learner profiles

💡 Tip: Be consistent with how you assign skill levels across your content library. This ensures recommendations are accurate and meaningful for learners.

For Learners: Receiving Recommendations

1. Have Skill Levels Set

   • Ensure your current skill levels are recorded in your profile (set by you, your manager, or via roles)

2. Visit the Discover Page

   • Your content recommendations automatically display items suited to your current level

3. Complete Content to Progress

   • As you complete learning at your level, new content is suggested to help you advance

FAQs

Q: What if a learner hasn't defined their skill levels?
The platform can't personalise recommendations until skill levels are defined. Encourage learners or managers to set these via the skills section of their profile.

Q: Can learners set their own skill goals?
Yes, learners can define target ratings to guide their upskilling journey. This helps them see what they're working towards.

Q: Will learners be shown content they've already mastered?
This depends on your configuration. You can choose to show only content at or above the learner's level, filtering out content below their current proficiency.

Q: Does completing content update the learner's skill level?
Not automatically. Skill levels need to be updated separately by the learner or manager. However, completing content contributes to their overall development journey.

Q: Can I tag content with multiple skills at different levels?
Yes, a single piece of content can be tagged with multiple skills, each with its own skill level. This is useful for content that covers multiple topics.

Troubleshooting