Your skill data lives in your LMS, HCM, and talent marketplace, but none of it speaks the same language. Skills+ normalizes, customizes, and puts that data to work, so you can build and act on a skills strategy that puts skill data into action.
What Skills+ delivers
Define skill names, descriptions, synonyms, and proficiency levels your way, including internal frameworks and process-specific language. When you control the definitions, every downstream experience, from Maestro Skill Reviews to Dynamic Learning Plans, gets calibrated to your standards instead of a generic scale.
Normalization across systems means skill labels and proficiency scales speak the same language. That consistency is what makes skills benchmarking and workforce planning reliable, and gives you meaningful data for the strategic decisions that come next.
Because you define what proficiency means for each skill at your organization, development happens according to your priorities instead of a generic rubric. Content gets tagged with proficiency level according to your definitions, unlocking skill-powered development that matches where each person actually is. And because this happens automatically, your skill data gets put into action instead of just sitting in a system.
Custom skill definitions
Add, edit, and customize skill names and descriptions, so definitions match your organization’s unique needs.
Proficiency descriptions you control
Define what each proficiency level actually means for every skill, and apply it consistently across Degreed’s entire learning ecosystem.
Synonym management
Identify and manage skill synonyms so skills like ML and Machine Learning are treated as the same skill, while related but distinct skills like AI stay separate.
Normalization across sources
Normalize skill names and proficiency scales from across your ecosystem, so a skill means the same thing no matter where the data came from and you have accurate data to inform strategy.
Human-in-the-loop controls
AI recommends skill descriptions, proficiency descriptions, and content tags, with human-in-the-loop controls so your team reviews and approves before anything goes live.
Automatic content tagging
Content is automatically tagged with the correct skill and proficiency level according to your definitions, so people receive the right content to grow according to their unique proficiency.
Calibrated skill reviews
Your skill definitions are used in Maestro’s AI-powered skill reviews, so skill ratings match how your organization actually defines each level, not a generic rubric.
Powering workforce adaptability
Accurate, normalized skill data is what makes it possible to spot gaps in adaptability skills and other future-facing capabilities before they slow down a transformation.
Skill data from across your tech stack unite to create a bigger picture in Degreed.
Celonis
See how Skills+ puts skill data to work
In 30 minutes, see how Skills+ acts as the skills data orchestrator behind your entire learning ecosystem, normalizing, customizing, and activating skill data so your skills strategy actually works.
