After the hype of skills, it is struggling to execute
Psychological data makes skills-based work strategic
Skills-based working has quickly become a dominant approach to getting a handle on an increasingly unpredictable labor market. As jobs fade and skills age faster, it becomes less meaningful to judge people based on their past. Instead, the focus shifts to what people can actually do. This makes organizations more agile and allows them to use talent more flexibly. At the same time, it creates a less visible problem. Organizations gain better visibility into skills, but not automatically into performance.
Skills provide overview, but not predictability
In practice, employees with similar skill profiles achieve different results. Teams that are well put together on paper do not automatically function better. Skills make visible what someone can do, but say little about when someone actually shows that behavior, how someone reacts under pressure, and in what context someone comes into their own. This is where the difference between potential and result occurs.
The problem is not in skills, but in what is missing
Many HR models recognize this implicitly. For example, the Skill-Will matrix makes it clear that motivation plays a determining role in functioning. Competency models describe behavior, but do not fully explain why that behavior is expressed in one situation and not in another. Skill frameworks map capacity, but leave open how effectively that capacity is used in practice. What is missing is coherence.
Performance never arises from skills alone
In work and organizational psychology, this connection has long been known. Work performance does not arise from a single factor, but from the interaction between ability, motivation, and context. What a person can do forms the basis, but is insufficient to predict whether and when that ability will actually be utilized. Motivation determines the willingness to demonstrate behavior, while context determines the extent to which that behavior is effective. When one of these factors changes, so does the outcome. This explains why two employees with similar skills can still perform differently.
Just now this blind spot becomes risky
This blind spot becomes more relevant as the environment becomes more dynamic. Technological developments are causing skills to lose value more quickly, making adaptability more important than specific knowledge. At the same time, work is increasingly organized in temporary partnerships, where performance is less individually and more relationally determined. In addition, talent decisions are made more frequently and flexibly, making mismatches more visible, more quickly, and directly affecting results. The question thus shifts from who has the right skills to who will actually be effective in a specific context.
HR needs to stop just measuring and start understanding
For HR, there is a clear next step here. Not in further expanding skill models, but in deepening their application. This requires explicitly including behavior, motivation, and context in talent decisions. Integrating these factors creates a more complete picture of potential and performance, enabling organizations to better predict performance and deploy talent effectively. This also shifts HR’s role. Whereas previously the emphasis was on making talent visible and organized, the emphasis is increasingly on understanding and predicting performance.
The real value of HR lies in predicting performance
Skills-based working has helped organizations bring structure to a complex reality. But that structure is only truly valuable when it is complemented by an understanding of the factors that determine how and when capabilities are expressed. The difference between potential and outcome lies not in what is visible, but in how that visibility is influenced by motivation and context. Organizations that understand this make better decisions and achieve more sustainable business results.
