MyEmploy: Transforming employability services through occupational psychology and AI innovation

Abstract

The development of MyEmploy emerged from an understanding of the challenges within the employability sector, where services supporting disadvantaged individuals often struggle with inconsistent jobseeker assessments, limited recognition of the jobseeker-adviser relationship’s role in employability outcomes, and underutilisation of data-driven decision-making. These issues identified critical gaps that needed addressing for sustainable employability outcomes. My PhD research, which examined the influence of relational dynamics on employment outcomes, provided key insights that informed the development of a new approach.

MyEmploy is an AI-driven web-based platform that bridges occupational psychology research with practical application. It assesses jobseeker employability, enhances adviser support, and predicts employment outcomes by tracking both job outcomes and softer progression indicators such as self-efficacy, health, and social inclusion. The platform also assesses the jobseeker-adviser relationship, taking a holistic approach to improve short-term outcomes and long-term employment sustainability for individuals facing complex barriers. 

This article details the motivations behind MyEmploy’s development, grounded in extensive practitioner experience and rigorous academic research. It explores the development process, value propositions, and the role of AI in revolutionising employability services. MyEmploy represents a significant advancement in the field, offering valuable theoretical and practical insights into improving support for long-term unemployed jobseekers.

Keywords

employability, artificial intelligence, assessment and diagnostics, jobseeker, employability adviser, welfare-to-work

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