GFoundry’s learning ecosystem is a key engine for building a rich, data-driven skills profile for every employee. This connection is not manual. When content is mapped to skills and learners interact meaningfully with that content, the platform can automatically update skill signals in the employee profile.
This article explains how the link works.
Step 1: Associate skills with your learning assets
The foundation is connecting your learning materials to your company’s Skills Taxonomy. As an administrator, you can associate one or more skills with learning assets at different levels of granularity.
Depending on your configuration, skills can be tagged to:
A full Content item
Specific blocks inside Content (for example: a slide section, a video block, a PDF block)
Quiz elements (including specific questions, where supported)
This precision allows you to define exactly which competency is being taught or assessed at each moment of the learning experience.
Step 2: Skills are attributed through meaningful interaction
A learner does not gain a skill signal by simply opening content. The platform requires meaningful interaction to confirm engagement and learning.
Examples of interaction criteria include:
Watching a video until the end
Answering quiz questions correctly (or completing a quiz successfully, depending on settings)
Viewing slides with minimum required interaction/time (where applicable)
Opening required learning materials (for example, PDFs), where completion rules treat this as a completion event
When the learner meets the criteria tied to the skill-tagged asset, GFoundry can automatically attribute those associated skills (or skill signals) to the employee’s profile.
Step 3: Skills are strengthened across multiple learning experiences
Skills become more reliable when they are reinforced through repeated, consistent signals. In practice:
Content provides granular learning signals (what was consumed and completed)
Missions can produce structured learning signals over time (progress through a journey)
Training Programs can provide formal signals (completion with deadlines and, optionally, assessment/validation stages)
The bigger picture: a 360-degree view of skills
Learning is only one part of a complete skills profile. The Skills Taxonomy is designed to consolidate signals from multiple sources across the platform, such as:
Learning activity (Content completed, quizzes passed, programs completed)
Recognition and feedback tied to skills/values
Performance and career processes (competency assessments, goals, development plans)
By feeding learning data (and other module signals) into a central Skills Taxonomy, GFoundry goes beyond tracking completions. It builds a living skills profile of your organisation’s capabilities, enabling smarter talent decisions and more personalised development.