Browse Prior Art Database

System and Method for tracking degradation of skills and expertise in real time Disclosure Number: IPCOM000247919D
Publication Date: 2016-Oct-11
Document File: 5 page(s) / 99K

Publishing Venue

The Prior Art Database


How to track the degradation of skills in real time. Individuals gain skills constantly but keeping a track of what skills and how sharp these are is a difficult job. Our solution takes into account time and activities within the skills area to keep that skill current. We apply an algorithm to these skills for two individuals and based off that result we recommend one above the other for the job.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 28% of the total text.

Page 01 of 5

System and Method for tracking degradation of skills and expertise in real time

Traditional human resources management systems have been recording numerous elements of information about employees and candidates, such as hard/soft skills, certificates, abilities, spoken languages... typically in flat systems as databases.

    The problem is that all this information stays recorded into the databases in a static way, and it is generally remains unchanged for a long time. Usually knowledge, abilities, skills, etc. suffers some degradation over time.

    Current solutions offer an overview in real time of a person's skills. They portray the skills of a person without any refreshment of update of that skill that will cause degradation of that ability.

    This solution will offer better decision making system for many processes in the real world today, so you are not making decisions based in skills that were learned in the past and no longer used, you are looking at the evolution of that skills along a timeline to have a current picture of how strong they are today.

    The solution disclosed considers skills, knowledge, expertise or abilities not as static variables that a person can have or have not. Humans are able to keep in their memory a huge amount of the skills/abilities but then, based on the working of the human brain the skills someone has, are updated as the person is using them and they are lost as the person stops using them over time.

    Prior solutions are typically only focused on extracting the values of the expertise but they are not centered in the skill as a live, real time value.

To illustrate the idea with an example

A Irish native has Irish and English languages. Then he has to move, due

work, to Germany and he has to learn German to complete his job. German skill will be reinforce due the daily interaction and it will reach an eminence as professional complete competence in German language. Then 2 years later, that person will leave Germany and will come back to Ireland. After 3 years of living in Ireland, a recruiter sees in the CV, German learnt during 2 years of working in Germany but that was 3 years ago, is this person ability to speak German as good as when he reached his complete professional competence? The common sense answer is probably no, some German skills will have been lost during that 3 years back in Ireland. That can lead to a competitive question: is his ability to speak German higher than another candidate who stayed only one year in Germany and it came back just few weeks ago?

    That is the core idea of the solution disclosed herein, provide a method that can generated a real time picture of how the skills of one person are in a determined point of time.

    Our solution works considering the skill (as skill we consider here also knowledge, expertise or ability) as a living entity which will be empowered by the execution of positive actions that reinforce that skill (that part is covered by another patents (from [...