CLICKING “SAVE” AS A PROXY FOR INTENT: AN AI-DRIVEN CONCEPTUAL MODEL OF MICRO-COMMITMENTS IN THE TALENT FUNNEL
DOI: https://doi.org/10.65725/JCISE/2/1/011
JOURNAL OF COMPUTATIONAL INTELLIGENCE SCIENCE AND ENGINEERING (JCISE) Volume 2 Issue 1, Jan-Mar 2026

Abstract: The digitization of recruitment has transformed talent acquisition into a data-rich, behaviorally traceable process. While most recruitment analytics focus on macro-conversion points such as job applications, interviews, and hiring decisions, emerging digital traces such as clicking “Save” on a job posting represent micro-commitments that may signal candidate intent. Drawing from literature in artificial intelligence (AI), recruitment analytics, behavioral economics, digital marketing, and human-computer interaction, this paper proposes a conceptual AI-driven model that treats micro-commitments as predictive indicators within the talent funnel. The model integrates behavioral signal capture, feature engineering, intent scoring algorithms, and recruiter dashboards to enhance decision-making. The study identifies a research gap in linking early behavioral signals to hiring outcomes and formulates a theoretical framework that repositions “Save” clicks as measurable proxies for intent. The findings suggest that AI-enabled talent systems can enhance funnel efficiency, improve predictive validity, and support bias mitigation when ethically designed. Practical implications for HR practitioners, technology vendors, and researchers are discussed, alongside future research directions.
Authors: Harshini J, Dr. A Xavier Mahimairaj and Prof. Akshay Noel Lourd N
Keywords: Artificial Intelligence, Entrepreneurship, Opportunities, Challenges, Data-driven decisionmaking, and Improved consumer experiences.