Our career transitions model can recommend a shortlist of students for each open role, so that your coaches can quickly make data-informed, warm leads.
It does this by taking in information about each student to infer their skills, then doing the same for each role to understand the required skills. Using this information, it looks at the degree of similarity between the two skillsets to predict the likelihood of a student being successful in a role. This can also be flipped to identify the top open roles for each student.
For more information on how our modeling works, head to the Modeling Approach section.
Head to either the Preview Candidates Score section (if you are looking at a single open role) or the Preview Applications Score section (if you are looking across multiple open roles) of our API Reference Documents.
|For each student:|
- A resume or their job titles, employers, skills, education
- Assessment results, interests, and additional information*
|Match quality ranking (low to very high) and match score for each student|
|For each role:|
- Job title, employer, skills, education
- Job description*
- Hiring outcomes for past students*
|List of the top skills overlaps and gaps for each student|
The inputs and outputs with an * (as well as any other data specific to your organization) can be incorporated through a customized model. To learn more, please reach out.
We can score students who are interested in a role in order to help career coaches and placement personnel to more efficiently recommend internships and jobs.
Updated about 2 months ago