Analysis of Competency Structure and Performance Differences in Creative Positions in the Digital Content Industry

Abstract

Creative positions in the digital content industry exhibit highly heterogeneous requirements for comprehensive abilities, and a single evaluation standard cannot accurately reflect the degree of job fit. This study analyzes the relationship between competency combinations and performance, focusing on the competency structure of creative positions. Based on skill assessments, project participation records, and performance scores of 3,216 creative employees from a digital content platform, the study constructs 18 indicators, including professional skills, creative output ability, cross-departmental collaboration ability, and time management ability. Factor analysis is used to extract core competency dimensions, and regression models are used to examine their impact on project completion rate and content click performance. The results show that the composite competency factor has an explanatory power of 31% for performance indicators, significantlyhigher than that of a single skill indicator. This study provides quantitative support for recruitment and performance evaluation of  creative positions.