Declaring skills

We help your employees to showcase their skills

Skills are central in the construction of the employee profile. The more they talk about their skills, the more artificial intelligence can identify their characteristics. She can thus suggest opportunities to them in line with their talents.

Your employees have a hand in declaring their skills and evaluating their level on each of them. To help them, we offer them an intuitive skills declaration interface, and we regularly suggest new skills to add.

Skills organized by category

All the skills declared by each employee are visible on the Skills block of their profile. These skills are grouped by categories; these are the categories that you have determined within your competency framework.

The skills (with their declared level) appear grouped by category on the employee's profile.

Explicit levels to help them self-assess

Employees can indicate their level for each of their skills. Four skill levels are available: I'm interested in it, I practice, I master and I am an expert.

Amount and labels of levels are customizable.

• I'm interested in it. The employee does not necessarily master this skill, but it is one of his areas of interest.

If it is a skill that the employee would like to develop, it is advisable to add it to the Appetences block, in the category “Skills to develop” so that it is taken into account in the matching calculation with the trainings.

• I practice. The employee has already put this skill into practice.
• I master. The employee regularly practices this skill.
• I am an expert. The employee has a very good level and can serve as a referent for this skill.

If the collaborator does not declare his level on a skill, then a default level is assumed. This presumed level is based on the total duration of the experiences where the skill was practiced. If the employee has not declared the skill in at least one of their experiences, the default level is I practice.

 

A spontaneous or assisted addition to easily declare all your skills

To declare a new skill, the employee clicks on the Add icon of the skills block

 

The platform makes suggestions for skills. Clicking on a suggested skill adds it to their skill list.

He can also declare skills himself if he cannot find them in the suggestions. He starts typing the name of the skill he wants to add via the search bar. A drop-down list then offers him the corresponding skills that are present in your skills repository.

Depending on your platform's configuration, the employee can also declare a skill that does not yet exist in your repository. This skill may or may not be integrated into your repository later.

It is possible to add the skill from the autocomplete field available from:

• the "Add Skills" modal in the profile
• the experience creation/editing modal in the profile
• the "Add from the dataset" tab in My Skills
• the "Fill in your skills" step in the onboarding process

The skills autocomplete is a suggestion engine (not a search engine) that helps user's skill search by proposing skill heads based on user's keying.

Skill search is made through the customer's active skill referential, even into the inactive and to integrate referential if there is an exact match (to avoid multiple false new declaration of a same skill).

Autocomplete is not exactly search. The autocomplete purpose is to help the user declare a skill. This means that we are looking for what the user meant when he was typing the word and we return skills that match in one way or another a skill containing what the user has started to type.

The skills returned are the head of a duplicate that contains the keyed search or the head of a duplicate that is close semantically to a skill that contains the search. This latter part is complex and is handled by a model that understands skills globally (meaning that it is not limited to your skills referential).

Another important information is the fact that we return only 10 skills in the autocomplete. This limit is set for UX purposes (a user cannot be presented with too many skills in an autocomplete).

Keep in mind that the suggestion logic is sometime restricted to a certain language. Especially for the autocomplete present in the profile pages. This means that skills returned by the autocomplete will be the heads of the skills in the user language.

The autocomplete is based on a "contains" parameter.

For example:

Let's say i have 2 skills in my dataset : "Scriptography" and "Javascript"

If i type "script" i will have 2 results "Scriptography" and "Javascript"

Update As of today the autocomplete referentials are updated every night. This means that newly integrated skills won't appear in the autocomplete immediately. New skills will be available the day after their integration in the referential.

For questions of understanding by employees, ergonomics in the platform and reading by the AI, the name of a skill must not exceed 50 characters. An alert message is also displayed when the employee enters several skills in one.

Skills assessment

When adding skills and skills, employees can directly assess their skills just after selecting them. This makes it possible to collect skill levels as soon as they are declared, because this is the moment when employees will be most inclined to do so, to have an idea of their levels. If they don't know or don't want to do it at the moment, they can always evaluate these skills later via the Evaluate button on the Skills block.

When the collaborator has added all the necessary skills and has potentially evaluated them, he saves the modifications by clicking on Add.