Bridging Expertise and Technology: A No-Code Platform for Developing Digital Psychometric Assessments

Abstract

Psychometric assessments are central to diagnostics, treatment planning and progress monitoring. They provide standardised, reliable measures of mental health, cognitive performance and patient-reported outcomes, making them essential for evidence-based healthcare. Despite their importance, developing digital psychometric diagnostics is highly resource-intensive. This process requires technical expertise and access to validation infrastructures, yet many domain experts lack adequate digital tools. Consequently, development processes are slowed, economic and intellectual value is often absorbed by external parties, and many assessments never reach the market, which hinders innovation and broader accessibility. This paper introduces a digital validation platform designed to enable non-technical experts to independently design, validate and deploy psychometric assessments. Developed through a co-design approach, the platform is based on qualitative insights gained from interviews with domain experts and an in-depth analysis of seven assessment development processes. The findings highlight current challenges and inform the platform's conceptual foundation and functional design. Emphasis is placed on usability, perceived value, and integrating established psychometric methods with novel digital innovations. By reducing technical barriers, the platform enables the more autonomous, timely and diverse development of assessments, thereby fostering innovation and strengthening knowledge ownership.

Keywords: Digital Diagnostics, Co-Design, Human-Centered Design, Psychometric Assessments, No-Code

DOI: 10.54941/ahfe1006969