Detailed and relevant experiences to receive better suggestions
The quality of the Experiences section plays a major role in the relevance of an employee profile page.
This section allows you first of all to better understand the career of the employee as a whole. You will be able to better support him in his professional development.
The role of experiments is also to help artificial intelligence detect and extract the most important characteristics of the employee's profile. This step will allow him to make suggestions of relevant skills and opportunities.
To enable all of this, your people need to write good descriptions and provide accurate information about their experiences.
Explicit categories to fit every type of experience
The profile page distinguishes between different types of experiences to highlight professional and extra-professional experiences, professional and school training, and events and conferences.
All experiences can include projects. These are the projects or missions carried out as part of this experience.
- The missions detail the long missions on which the employees have been staffed (very often linked to the operation of consulting firms)
- The professional experiences detail the positions held, within your company but also before.
- Vocational training concerns all training carried out as part of a mission or position, in your company or elsewhere.
- The certifications allow you to enter all the certifications that testify to a specific expertise or know-how.
- School training lists the studies and diplomas obtained by the employee.
- Events and conferences make it possible to highlight the participation of the employee in this type of activity, within your company or outside.
- Extra-professional experiences refer to the employee's hobbies and passions. Many skills are developed outside the professional framework, this is an opportunity to highlight them.
We help your employees quickly create detailed and quality experiences.
Collaborators can add new experiences from the corresponding section of their profile page. A form then allows them to fill in all the necessary information.
- If it is a professional experience, the job title must include a job name that is as explicit as possible. Abbreviations that are too specific to your business should be avoided. All additional information (the type of contract for example) can instead be detailed in the description.
- The company is the one where the experiment was carried out.
- The start dates and end dates of the experiments are used to calculate the duration of the experiment. Dates can be specified by year, month or day. It is recommended to specify at least the month to help the algorithm to make more precise analyses.
💡 We want your employees to be able to remain discreet about their age if they wish. The dates are therefore optional on their professional and educational training.
- The description is the place to list the activities performed during this experience. The ideal size of a description is around 80 words. The collaborator will be able to talk about the activities carried out during the experience, the tools and methods used and the objectives achieved. It is important that this description be relevant and detailed. Artificial intelligence will analyze the content of this description to deduce presumed skills and make suggestions to the collaborator live directly in the form.
- Experience-related skills are all skills that have been acquired, developed and/or mobilized during the experience. The more skills are linked, the more the experience can be analyzed with finesse. After completing the description, the Skill Assistant suggests skills to associate with this experience. All the employee has to do is select them! He can also add others using the search bar. And if he already has an idea, he can assess himself on the added skills.
A skill linked to an experience is necessarily part of the employee's overall skills. When an employee declares a skill via an experience, it is added to their skills if it is not already part of them.
- Collaborations during the experience allow you to mention the people with whom your collaborators worked.
- The Add Project tab allows you to detail a specific project that took place during an experiment. Projects can be described through several elements.
- A title. This title must indicate the purpose of the project and the location (if different from the location of the parent experience)
- A start date and an end date, to be able to calculate the duration of the project. The dates must not exceed the dates of the experience.
- A description. This must list the activities carried out, the tools used and the objectives achieved
- Associated skills. These may be the same skills as those that the employee has declared for all of their experience.
The projects are always linked to a parent experience, in order to be able to give them context. It is possible to create a project within any type of experience except certifications.
How to optimize descriptions for artificial intelligence?
Artificial intelligence analyzes the content of each experience to deduce suggestions of skills and opportunities adapted to the employee. More specifically, the artificial intelligence uses the job title, the description of the experience and the associated skills to make its analysis.
- The job title is very important for detecting the profession exercised by the employee within the experience. The title should be as explicit as possible and indicate a business name, to allow reliable interpretation.
- The job thus detected by artificial intelligence also makes it possible to deduce the seniority associated with the profession.
These two elements will allow artificial intelligence to offer the employee opportunities corresponding to the jobs they have already exercised, as well as the associated seniority.
- The description of the experience will allow the artificial intelligence to detect implicit skills through the different tasks performed. These must be detailed, and include a maximum of keywords.
- The declared skills will be used to detect other semantically similar skills that the employee is likely to hold as well.
These two elements will allow artificial intelligence to make skill suggestions to the employee and target opportunities whose required skills are similar.
Points to remember
- Employee profile pages can list different types of experiences: professional, extra-professional, training and events / conferences.
- Experiences are key to understanding employee strengths. Titles, skills and descriptions of experiences are used by artificial intelligence to make suggestions of skills and opportunities.
- Titles are used to infer occupation and seniority. This then makes it possible to offer opportunities with similar job names and level of experience. These titles must therefore contain the most explicit trade names possible.
- Declared skills and descriptions are used to suggest new skills. The artificial intelligence can then make suggestions for similar skills and opportunities that require the same skills. It is therefore important to declare as many skills as possible and to detail precisely the tasks carried out during the experience.