AI-Assisted Skill Levels for Content

Overview

When tagging content with skills, you can specify the proficiency level that content is most suitable for. AI-assisted skill levels use OpenAI to analyse your content and suggest appropriate proficiency levels, saving time and ensuring consistency across your library.

Instead of manually deciding whether a piece of content is suitable for beginners, intermediate learners, or experts, the AI analyses the content's complexity and recommends appropriate skill levels.

Functionality Breakdown

How AI Skill Level Suggestions Work

When you request an AI skill level recommendation:

1. Content analysis – The AI examines the content's title, description, and extracted text

2. Complexity assessment – It evaluates language complexity, assumed knowledge, and depth of coverage

3. Level mapping – The AI maps its assessment to your company's skill rating framework

4. Suggestion display – Recommended levels appear for you to review and apply

What AI Considers

The AI analyses several factors:

Integration with Tagging

AI skill levels work alongside skill tagging:

• Skill tagging identifies which skills content relates to

• Skill levels specify what proficiency level the content is suitable for

• AI can assist with both, either together or separately

Pre-requisites

To use AI-assisted skill levels, you'll need:

• OpenAI integration enabled on your account

• Skills feature enabled

• Content items already tagged with skills (or tag them as part of the process)

• Appropriate permissions to edit content

Required User Roles

Quick Start Guide

Requesting AI Skill Level Suggestions

Step 1: Navigate to Content Details

1. Find the content item in your library

2. Click to open the item details

3. Navigate to the Skills or Categorisation section

Step 2: Ensure Skills Are Tagged

Before requesting skill level suggestions, the content should have skills tagged:

1. If skills aren't tagged yet, add relevant skills to the content

2. You can also use AI to suggest skills first, then levels

Step 3: Request AI Suggestion

1. Look for the AI Skill Level or Suggest Levels button

2. Click to initiate the AI analysis

3. Wait for the AI to process the content (this may take a few moments)

Step 4: Review Suggestions

The AI will suggest proficiency levels for each tagged skill:

• Suggestions appear alongside each skill

• You'll see the recommended level (e.g., Level 2 – Beginner, Level 4 – Advanced)

• The AI may provide brief reasoning for its suggestions

Step 5: Apply or Adjust

1. Review each suggestion

2. Accept suggestions that seem appropriate

3. Adjust any that don't quite fit

4. Save your changes

💡 Tip: AI suggestions are starting points, not final decisions. Use your knowledge of the content and audience to make final adjustments.

Batch AI Processing

For larger content libraries, AI skill levels can be processed in batches:

1. Select multiple content items

2. Initiate batch AI processing

3. Review suggestions across all items

4. Apply changes in bulk or individually

⚠️ Warning: Batch processing may take longer. Large batches run in the background—you'll be notified when complete.

Understanding Skill Level Assignments

Once applied, skill levels affect:

• Content recommendations – Learners see content matched to their proficiency

• Learning paths – Content can be ordered by skill level progression

• Filtering – Users can filter content by skill level

• Reporting – Analytics reflect skill level distribution

Example Skill Level Mapping:

FAQs

Q: Do I need to tag skills before requesting AI skill levels?
Yes. AI skill levels work on skills that are already tagged to the content. If no skills are tagged, there's nothing to assign levels to.

Q: Can AI suggest skills AND levels at the same time?
Yes. The AI content classification can suggest both which skills to tag and what levels to assign, either together or separately.

Q: How accurate are AI skill level suggestions?
Accuracy varies based on content clarity and complexity. AI suggestions are typically good starting points but benefit from human review, especially for nuanced or specialised content.

Q: Does AI skill level processing cost extra?
AI features may be included in your plan or available as an add-on. Check with your Customer Success Manager about OpenAI integration pricing.

Q: Can I override AI suggestions?
Absolutely. AI suggestions are recommendations, not requirements. You have full control to adjust or ignore suggestions.

Q: What if the AI gets it wrong?
Simply adjust the level manually. The AI learns from the content it analyses, but each piece of content is assessed independently.

Q: Do AI-assigned levels affect existing user progress?
No. Skill levels on content help with recommendations and filtering. They don't retroactively change how completed content is recorded.

Q: Can I see why the AI suggested a particular level?
Depending on configuration, the AI may provide brief reasoning. Generally, suggestions are based on content complexity and assumed knowledge.

Troubleshooting