When qualifications no longer accurately reflect our abilities.
Over the course of our working lives, most of us dedicate a significant amount of time to learning. We attend training courses, read professional books, gain experience from our jobs, and strive to develop ourselves in various ways. However, looking back on that journey, a rather simple question often remains difficult to answer: where do our actual capabilities stand, and how are they developing?
Most people have only a few very limited ways to showcase their abilities. A CV listing work experience. A LinkedIn profile describing skills. Or sometimes a list of certifications. But this information reflects only a very small fraction of their actual capabilities.
Competence is not a static list. It is a system that develops over time, formed from learning, work experience, feedback from the environment, and continuous improvement. However, we lack a tool to clearly visualize that entire system.
In a knowledge-based economy where skills are becoming the most important asset for workers, understanding and managing personal competency systems is becoming increasingly crucial. This is also why the concept of the Digital Twin of personal competencies is beginning to receive more attention.
Digital Twin – From Machine Clones to Human Capabilities Map
The Digital Twin concept originated in the technology and industrial sectors. It was used to create a digital replica of a real-world system, such as an engine, a production line, or a building.
The unique aspect of a Digital Twin is that it's not just a static model. It's connected to real-world data and capable of continuous updating. As the physical system changes, the digital twin changes accordingly. This allows organizations to monitor system status, analyze performance, and make optimization decisions.
With the development of big data and artificial intelligence, this approach is beginning to expand to many other fields. One of the most notable developments is the application of Digital Twin to people and personal competency systems.
In this context, Digital Twin can be understood as a dynamic skill map for each individual. It records and updates competency development based on learning data, work experience, and other skill development activities. Instead of having just a static career profile, each individual can possess a data system that reflects their capabilities over time.
When skills become the most important asset
In the past, qualifications and titles were often considered the most important factors in a career. However, in the modern workplace, what creates real value is the ability to perform the job through skills.
Organizations are increasingly interested in the specific competencies an individual can bring: analytical skills, problem-solving abilities, communication skills, systems thinking, or the ability to adapt to new technologies. These competencies are not always clearly demonstrated by academic qualifications or years of experience.
This creates a significant gap. People learn a lot, but there's no clear way to track skill progress over time. They often only realize their skill gap when the job becomes more challenging, when technology changes, or when they want to move to a new role.
The Digital Twin of personal competence addresses this problem by transforming the skill system into an observable and analyzeable asset. When learning data and job performance are linked, individuals can gain a clearer view of their strengths, areas for improvement, and how their competence is evolving over time.
From incidental learning to targeted competency development
One of the reasons why many people study a lot but their abilities don't change significantly is because learning often happens quite randomly.
We enroll in a course because we find the content interesting, read a book because it's being talked about a lot, or learn a new skill because we think it might be useful in the future. These activities provide knowledge, but they are rarely connected to a specific competency goal.
The Digital Twin of personal competence offers a different approach: managing learning like managing a skill system. Instead of learning impulsively, each person can develop competence through a clear four-step process.
Step 1 - Identify the job's skills map
The first step is to identify the skills that are truly important to the job or career role you are aiming for.
For example, a marketer might need skill sets such as data analysis, strategic thinking, content writing, campaign management, and customer communication. When these skills are clearly defined, learning will have a specific structure instead of just being based on inspiration.
Digital Twin started by creating a map of job-related skills.
Bước 2 - Đánh giá năng lực hiện tại
After creating your skill map, the next step is to determine your current proficiency in each skill.
This can be based on various data sources: work results, feedback from colleagues, completed projects, or finished courses. When this information is compiled, each person can gain a clearer understanding of their strengths and areas where they lack skills.
This is the core of Digital Twin: creating an up-to-date picture of an individual's actual capabilities.
Step 3 - Identify the competency gap
When comparing current skills to job requirements or career goals, skill gaps become apparent.
For example, someone might realize they are quite strong in their subject matter but lack communication skills or strategic thinking. In that case, learning would focus on the skills that truly make a difference, rather than learning a wide range of skills.
Step 4 - Learn and update skills periodically.
The final step is to turn learning into a continuous cycle:
- Learn a specific skill
- Apply it to real-world work or projects.
- Receive feedback
- Update your competency level.
When this cycle is repeated many times, each person's skill system will gradually improve in a clear direction.
Digital Twin acts as an ever-updated map, helping each individual see their progress over time and know the next step in their skill development journey.
In reality, one of the biggest challenges for working professionals is finding suitable learning resources. Knowledge about management, operations, finance, marketing, or personal development is often scattered across numerous courses, books, and other materials. Searching for and selecting content can sometimes be more time-consuming than actually learning.
That's also why many learning platforms are starting to focus on synthesizing and reorganizing knowledge according to skill systems. For example, the Retudy learning platform has built a library of over 100 subjects for working professionals, ranging from management and operations to career development skills. The content is divided into short videos that can be learned directly on a phone, making learning more flexible within a busy schedule.
When knowledge is organized in this way, learners not only gain access to a wider range of fields but also significantly reduce the time spent searching for materials. Instead of piecing together many disparate learning sources, they can focus more on developing their skill set along a clear path.