Objectivity by design: The impact of AI-driven approach on employees' soft skills evaluation

Abstract

Engineers’ team collaboration skills are among software development's most important success factors. Existing Artificial Intelligence practices for the engineers' soft skills assessment mainly rely on evaluations of subjective data gathered through surveys, interviews, or observations. As a result, the insights gained by these methods are biased because of the subjective data people report. To overcome the challenge of subjectivity, we offer a novel objectivity-by-design approach for continuous AI-driven team collaboration skills analytics. The method analyzes the data from workstreams gathered from data repositories like Jira. Based on the study results, we conclude that this approach enables a continuous assessment of employees' team collaboration skills, provides more accurate insights, eliminates subjective biases, and helps uncover trends and deficits on individual and team levels. Understanding and recognizing employees' strengths and weaknesses can foster an organizational culture of growth and development. An improved organizational climate is expected to result in work satisfaction, engagement, and motivation, thus positively impacting employees, businesses, and society.