How Does GradSift Work

GradSift uses a validated, static algorithm (not machine learning) to do a lot of the work behind the scenes. In simple terms, it intreprets a candidate's background the same way as an experienced graduate recruiter would. That's looking at a student's degree discipline(s), grades, university attended and whether the degree is undergraduate, a dual degree or post-grad. But it goes well beyond academics. It assesses students for indicators of behavioural skills like leadership, initiative, interpersonal skills and achievements. It also looks at the relevance of a student's work experience and background to the employer.

This is represented visually to the employer, using graphic bars for the strength of their academics, any work experiences and extra-curricular activities.

Students will score differently for each of the three categories. A student could be a "pass grade" student academically but have really strong and relevant work experience and leadership skills. Or another student may be very strong academically but has little work experience (career or non-career related).

This is where the hiring manager uses their judgement to say what's most important for their role and team. The manager can also review your GradSift generated resume, a summary of the data you provided.

GradSift is not saying employers should hire the top tanked candidate. It gives them information to help you make their decision based on the criteria that's most relevant to their role.