The digital transformation of HR is the new normal in the enterprise business world, in quantitative analysis side, but the decision making will remain qualitative for the long unforeseen future. We present digital qualitative methods for talent profiling in order to understand each team member's mindset, by utilizing brainstorming type questionnaire data. As a result of the study, a stand-alone solution is being developed which improves HR operations and talent profiling for individuals and organizations. Furthermore, this abductive approach indicates that this open-ended conceptual framework returns a promising qualitative analysis. The research work addresses the issues of the subjective nature of human resources with an open-ended approach which sharpens our decision-making without excluding it.

In most companies and organizations, performance is related to talent management and skills to analyze what and why people are working on. However, many companies do fail to implement a long-term strategy for the performance enhancement activities, considering the talents they have recruited. In this article, we propose a tool for HR work, in context of talent management and how to utilize people skills and productivity analytics to improve team performance and related KPIs. A project data-based case study is illustrated, in which a set of devel-oper and content marketers were analyzed as core team members. In practice, the presented framework makes an important contribution to decision-making activities, where people analytics and proper software tools are used to build new novel knowledge into talent pool of the team. With the framework-based analysis, it is possible to analytically compare team members’ performance and enhance the team’s skill and structural development which means that we can employ analytics to find best performers and set their roles for more optimally working teams. Our research supports the concept of using the right framework can make a big positive difference in team analytics.