Our intelligent platform uses proprietary algorithms, Artificial Intelligence (AI) and Natural Language Processing (NLP) to benchmark a user’s CV and to generate constructive feedback, based on key criteria employers look for.
Our Artificial Intelligence algorithms have been specifically designed to check dozens of key criteria in order to determine accurate scoring and to provide personalised feedback. The CareerSet CV Engine checks for ATS compatibility and evaluates the strength of word choice in relation to three main categories: impact, style and brevity.
Our products and resources are based on recognised best practices. We have worked extensively with a focus group of recruitment professionals and hiring managers at leading
companies to understand key criteria to look for.
A personalised approach
Our CV Scoring Engine identifies individual strengths and weaknesses in order to generate tailored, actionable advice. All areas for improvement are backed by detailed explanations and examples.
Feedback reports can be shared with Career Advisors who can subsequently personalise their approach to specific needs.
Secure and GDPR Compliant
We are fully GDPR compliant and have implemented both technical and organisational measures to ensure full confidentiality and protection of personal data.
Proven to improve results and drive efficiency
The scope of our platform is to ensure that users meet a certain CV standard (a threshold CV score), based on best practices - before seeing a Career Advisor. CareerSet allows users to find out where their CV ranks amongst their peers and to make improvements accordingly. Our platform complements an existing approach of events, online resources and personal meeting appointments.
Instant CV Scoring
Enables users to independently optimise their CV
Based on recognised recruitment best practices
Track user’s progress
Via an admin dashboard made available to Career Advisors
Proven CV sample lines
Embedded in our solution to ensure understanding
Optimised CV templates
Vetted by recruiters and optimised for ATS-compatibility
With benchmarked algorithms and institution-specific content