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The dashboards of this theme are meant to help you identify the expectations of your students by observing their search and application behaviour on the platform. You can use these dashboards in case you need the following insights: → What kind of job ads are my students searching for? → Is there an imbalance between the job ad supply on my Career Center and the expectations of my students? → At what time of the year are my students active on the platform and/or looking for jobs? |
1. Analyse students’ search trends
The goal of this tab is to help you identify what your students are searching for. It uses the keywords typed by your students in the job ad search.
The first view counts the number of searchers per keyword they typed in the job ad search. It shows the keywords that were most searched during the selected period.
For each keyword, you can display, in addition to the number of searchers which displays by default, a secondary KPI:
- Number of searches : total number of times this keyword was typed in the job ad search
- Average searches per student : number of searches with this keyword / number of searchers who typed this keyword
- Average results per search : average number of job ad search results available to students who typed this keyword
The second section of this tab is dedicated to identifying the keywords that show increasing or decreasing trends in terms of number of searchers, on a year over year basis.
For each keyword, it counts the number of students who searched it in the selected period, and compares it to the same period the year before. The two tables display the lists of keywords with the highest rise (left), and the highest drop (right).
2. Analyze student preferences through their applications
The goal of this tab is to understand your students’ preferences based on which job ads they are applying to (as opposed to which keywords they are searching, which is the focus of the “Analyse students’ search trends” tab).
The left view counts the number of application clicks broken down by any of the dimensions below:
- Contract: the contract type of the job ad (ex. Internship, Apprenticeship…)
- Function: the function of the job ad (ex. Financial services, Human Resources…)
- Industry: the industry of the recruiter’s company (ex. Banking, Media…)
- Company type: the company type of the recruiter (ex. Large company, Startup…)
- Enterprise: the recruiter’s company name
- Job ad country: the country in which the job is located
- Industry & Company type
- Contract & Function
- Industry & Function
The right view is a map that counts the number of apply clicks by location. The map can be displayed at 2 levels of geographical granularity:
- Country: the country in which the job ad is located
- Region: the region in which the job ad is located. This level of granularity only applies for European countries.
The two views of this tab work jointly: selecting any (or several) record(s) of the table on left will filter the map on your selection. Likewise, selecting any (or several) location(s) on the map will filter the table on the left and keep only job ads located on your selection.
3. Analyze the seasonality of student interests
The goal of this tab is to help you identify the times of the year at which your students are active on the platform, and when they are searching or applying to apprenticeships, internships, jobs, etc.
The first section of this tab displays, for each contract type, one of the following KPIs:
- Number of apply clicks: total number of apply clicks done by the students
- Number of applicants: distinct number of students that made an apply click
- Number of views on job ad pages: total number of time a job ad has been viewed by a student
The left graph shows this KPI on a monthly basis.
The two views work jointly: clicking one (or several) contract type(s) in the left graph will filter the monthly count in the right graph on your selection.
The second section works the same way as the first one.
It counts the number of views made by your students on each JobTeaser module.
Here again, the two views work jointly: clicking one (or several) module(s) in the left graph will filter the monthly count in the right graph on your selection.