Situational-based evaluation and development of digital talents, driven by evidence-based approaches

Digital and intelligent technologies are expanding the sources of evidence used in talent evaluation. Their value lies not in replacing traditional assessments with algorithms, but rather in enabling the recording, interpretation, and feedback of behavioral processes within structured situations. Self-reports, reports from others, structured interviews, assessment center techniques, and work samples, along with situational judgment tests, gamified assessments, virtual reality tasks, and digital behavior logs, all provide different levels of assessment information. Although these approaches belong to different traditions, they share a common logic of evidence-based evaluation: individuals make choices, interact with others, search for information, allocate resources, and adjust their strategies under clear rules regarding roles, goals, resources, constraints, and feedback mechanisms.