What is Learning Recommendation 2.0?

Learning Recommendation 2.0 is Eightfold's AI-powered course recommendation system in Career Hub. It surfaces personalized learning suggestions based on your skills, career goals, and role context — so you spend less time searching for relevant courses and more time building capabilities that matter for where you are and where you're going.

Recommendations update automatically as your profile evolves, new courses are added, and your skill proficiency grows.

Why it matters

For employees:

• See courses that are actually relevant to your role and career goals — not generic catalogs
  
• Track progress toward your skill goals: recommendations are organized by what you're trying to build, close, or deepen
  
• Dismiss suggestions that don't fit and help the system learn your preferences over time

For Talent Development Leaders:

• Drive targeted skills development at scale without manual course curation for each employee
  
• Surface the right learning to the right people at the right proficiency level — automatically
  
• Understand what employees find relevant (and what they skip) through built-in feedback reporting in Data Hub

How it works

What you see in Career Hub

When you open the Courses section in Career Hub, you see a personalized feed of recommended courses. If your admin has enabled filtering, you can browse by:

• Skill Goals — courses teaching skills you've marked as learning goals
  
• Role Goals — courses aligned to the skills your aspired role requires
  
• Profile Skills — courses that deepen skills you already have
  
• Skill Gaps — courses targeting skills where your proficiency is below what your role needs

How the recommendations are chosen

The system looks at your current role, your skills and proficiency levels, your career interests, and the courses available in your organization's catalog. It filters out courses you've already completed, aligns course difficulty to your current proficiency, and removes courses that don't match closely enough to your skill or career context.

Recommendations are refreshed continuously — when you add skills, update your career goals, or complete a course, the list adjusts.

Dismissing a recommendation

If a course isn't right for you:

1. Select the three-dot menu (⋮) on the course card.
   
2. Select Not Interested.
   
3. Choose a reason from the options shown.
   
4. Select Submit.

The course is removed from your feed. Your feedback helps admins understand which recommendations resonate and which don't.

What's new / what changed

Learning Recommendation 2.0 introduces a significantly enhanced ranking and filtering engine compared to the previous version. Key improvements include:

• Two-stage quality filtering — a dedicated quality firewall removes courses that don't meet skill similarity and title relevance thresholds, reducing noise in the recommendation feed
  
• AI catalog enrichment — skills and difficulty levels are inferred from course descriptions when not explicitly provided, expanding the reach of recommendations to courses with incomplete metadata
  
• Proficiency-aligned difficulty — course difficulty is now matched to each employee's current skill level, so recommendations grow with the employee as their proficiency improves
  
• Feedback-driven refinement — employees can dismiss recommendations with a reason, giving admins Data Hub reporting on what's working and what isn't

Frequently asked questions

Why do my recommendations keep changing?

They're designed to. Recommendations update as your profile changes — when you add skills, mark new learning goals, complete courses, or update your career interests. This keeps your feed relevant to where you are right now.

I completed a course but it's still showing up. What should I do?

Completed courses are filtered out automatically, but there may be a short delay depending on when completion data syncs from your LMS. If it persists, contact your Eightfold Admin.

Can I see all available courses, not just recommended ones?

Yes — you can browse the full course catalog in Career Hub. The recommendation feed is a curated subset based on your profile. Your admin may also have set up search filters to help you explore courses by topic, skill, or relevance type.

Will dismissing a course affect future recommendations?

Dismissing a course removes it from your current feed. If your profile changes significantly later (for example, a new skill gap emerges), a similar course might reappear. Your feedback is always recorded and available to your admin.

Does this work if I haven't filled out my Career Hub profile?

Recommendations are skill-driven, so a complete profile produces better results. If your profile has no skills, you'll see few or no recommendations. Adding your current skills, career interests, and skill goals significantly improves the quality of what's surfaced.