Issues with Skills

The taxonomy/terminologies/semantics on skills pose immense difficulties in processing information effectively. Because of this we have issues like the right people missing out on possible jobs, wrong jobs sent to people irrelevant to the role, a lot of time wasted on screening profiles of people and jobs, inability to guide people appropriately on their careers, not being able to systematically align learning with development needs, and so on.

Here are some issues we face on the semantics on skills

The problem What it means An example
Problems with spellings Same thing may be written in different ways ReactJS, React.JS, React JS
Problems with same thing called differently Different people use different words for the same thing Digital Marketing, Web Marketing, Internet Marketing, Online Marketing
Problems with Acronyms Some people use acronyms, while others may use expansions CAD, Computer Aided Design
Problems with contextual reference When a word is associated with a certain phrase or context, the association can give a different meaning or identify a new skill. ‘Boiler’, with associations, can become ‘Designing of Boilers’, ‘Repairing of Boilers’, ‘Operating of Boilers’, etc.
Problems with different meaning for the same word / phrase The same phrase may refer to a different set of activities when read by different people Product Management
Lack of Quantification of Proficiency We mostly rely on years of experience as a parameter, for the sake of simplicity and ease, to judge proficiency level The same person may have different proficiency levels for different skills