Introducing Textkernel Skills

Sharpen Your Focus on Skills To Empower Better Talent Management

Why Skills, why now?

Skills describe a particular competency required to complete an actual task. Understanding the skills of individual professionals or encompassed within a pool of professionals, can help managers and recruiters make better decisions pertaining to talent acquisition, retention and development.

The time is right for skill-based solutions because many senior leaders have come to fully understand that better managing talent – at all stages of the candidate-employee lifecycle – has the potential to unlock more business value. By going beyond the term ‘talent’ to understand the granularity of particular skills that drive business transformation, organizations can better steer processes to address potential gaps, improve retention efforts on highly demanded skill sets, and re-and upskill future workforces.

Skills Demand Analytics is now live for all countries in which we collect labor market data:
Austria, Belgium, Canada, France, Germany, Italy, The Netherlands, Spain, The United Kingdom and The United States.

Learn more here

Our Textkernel Skills Classification is available for the following languages: English, French, German, Italian, Spanish and Dutch.

Some of the challenges that we hear from our customers include:

  • How can I better assess candidate capability beyond previous roles and titles?
  • How can I better understand the skills already captured within our organization?
  • What skills have we gained through an M&A that we need to focus our retention efforts on?
  • What skill gaps exist in the organization? And related, where should we place learning and development focus?
  • Which new roles might existing employees pivot into based on existing skills?

Corporate Organizations

I am interested in understanding how skills-based analytics can help my organization to attract, hire and manage the best talent.

Skills analytics for Corporate HR

Staffing and Recruitment Agencies

I am interested in understanding how skills-based analytics can help our agency better serve the needs of our corporate clients.

Skills analytics for Staffing and Recruitment

1. Get the skill demand analytics you need to inform your business strategy.

While business leaders understand that talent is an important requirement to execute their business strategies, it can often be difficult for recruiters to articulate the actual and anticipated challenges in sourcing and matching talent to meet those demands.

Skills analytics arms you with the insights required to build awareness and manage expectations about reasonable time-to-hire and cost-to-hire for critical business roles.

Skills data allows you to anticipate trends and shifts in the marketplace that might impact your ability to execute strategic shifts in the future. Additionally, you can monitor your industries’ and competitors’ evolving skill demands to stay abreast of their strategic moves.

2. Identify adjacent and related skill sets that can widen your candidate reach.

Skills analytics offers you the ability to identify families of related skill sets.  In today’s labor market, in which specific skill sets are in high demand, understanding adjacent and related skill clusters will help you to look for candidates who may have relevant skills despite having different job titles. For corporate HR, this can allow you to re-skill employees so they can pivot into new roles across the organization.

3. Build your own enriched, skills-based candidate talent pool.

Go beyond the analytics and apply the Textkernel skills classification to your own candidate pipeline and existing talent pool.  This will provide you with more visibility into the skills your recruitment marketing efforts have captured in the past.

How can my organization benefit from skills?

Frequently Asked Questions


1) How does Textkernel define a skill?

Textkernel defines a skill as a trait or capacity that could be associated with an individual person in a variety of professional situations or context.


2) How many skill concepts does the Textkernel Skills Classification cover?

The Textkernel Skills classification entails more than 11,000 skill concepts that categorize over 130,000 synonyms across 6 languages.


3) What process did Textkernel use to collect, assess and classify all concepts and synonyms?

As with building any kind of ontology, we began by taking a wide view on several sources of skill concept information including: CVs/resumes, job vacancies, numerous existing taxonomies, online sources such as wikipedia, training and development descriptions and syllabuses from various educational institutions.

We then used statistical techniques and machine learning and distill our list into the most recurring concepts and create a hierarchy of terminology. We assessed relevancy by analyzing actual occurrence of a skill concept across millions of job vacancies and candidate CVs or resumes. Finally, our dedicated quality assurance teams extensively inspects and improves the system to guarantee that the skill extraction reflects human intuition.


4) How is your skill taxonomy structured?

We distinguish four categories of skills: “Professional skills”, “Soft skills”, “IT skills” and “Languages”. We don’t impose a deeper hierarchy than that, as there is not a single structure that fits all purposes: different usage contexts of skill data require different ways of grouping skills.


5) How frequently will Textkernel add new skills or update the taxonomy?

We generally release updates every two weeks. These updates contain improvements to the skills repository in any the available languages as well as improvements to the extraction method.


6) Can I suggest new skills?

Textkernel welcomes feedback on our skills concepts and we consult closely with several of our key customers on the continued enhancement of our taxonomy.  If you are interested in participating in our Ontology Maintenance program, please contact us for more details.


7) How do I get my candidate database to speak your skills language?

Textkernel provides services that parse candidate documents (CVs/resumes, application letters), and can return this data to you in a structured database that includes the latest skill categories. Interested to learn more about our parsing services that include skill categorization? Contact us.

Or learn more about our high-quality parsing solutions.

More questions that haven’t been already answered? Please contact us and we would be pleased to share more information with you.