
How Metis Works
Introduction to Metis
This AI mentor isn’t just a tool; it’s your guide to navigating the world of labor market data. In today’s rapidly evolving job landscape, having the right skills is just part of the equation—knowing how to present them effectively is equally crucial. Designed to bridge this gap, it acts as a practical assistant, helping you create clear, relevant inputs to improve job recommendations and uncover new opportunities.
At its core, the platform empowers individuals and communities to produce high-quality data that machines can easily interpret. This isn’t just about matching keywords; it’s about understanding the deeper connections between your skills and the labor market’s demands. Through advanced AI processes, it unlocks insights into your competencies, guiding you to better job matches and career growth.
Understanding the Technology
What is the Skills Snapshot?
Imagine having a map that shows not just where you are but where you could go based on your unique skills. That’s the Skills Snapshot. It’s a dynamic, visual representation of your competencies, crafted from the information you provide—whether it’s a CV upload or manually entered text. But it’s more than just a list; it’s a network that reveals how your skills interconnect and relate to the broader job market.
The Skills Snapshot highlights your strengths, illustrating how different competencies support each other. It’s designed to give you a fresh perspective on your professional profile, showing not just what you know but how your knowledge fits within various industries and roles. This snapshot is downloadable as a PNG, making it a powerful addition to your CV or LinkedIn profile, showcasing your skills in a visually compelling way.

process
How the Skills Snapshot is Generated
The journey begins the moment you input your data. Whether you’re uploading a CV or typing a description of your skills, the system starts analyzing your information using sophisticated natural language processing (NLP) techniques.
01
Data Input Analysis:
The content is read thoroughly, identifying key terms, patterns, and relationships between different skills. It doesn’t just look for buzzwords; it understands context, recognizing how certain skills complement each other within your professional background.
02
Data Quality Assessment:
Before creating the snapshot, the quality of your input is evaluated based on three critical factors:
Machine Readability: Describes whether the system can effectively process the given text.
Information Density: Measures how detailed and specific your text is in terms of meaningful words.
Information Quality: Assesses whether the provided text is too generic, focusing on the relevance and specificity of your descriptions.
This assessment ensures the Skills Snapshot is built on solid, high-quality data. The better your input, the more accurate and insightful your snapshot will be.
03
Knowledge Graph Creation:
Your data is transformed into a knowledge graph. Think of this as a web that connects your skills based on their relevance and interdependencies. This graph is the backbone of the Skills Snapshot, illustrating how your competencies are linked both logically and contextually.
04
Snapshot Visualization:
Finally, the knowledge graph is converted into a clear, easy-to-understand visual format—your Skills Snapshot. This visual not only showcases your strongest skills but also highlights potential gaps, providing a roadmap for personal and professional development.