This study proposes a novel Confidence-Interval Circular Intuitionistic Fuzzy Productivity Ranking (CIC-IFPr) model for the evaluation of non-habilitated academic staff under uncertainty. The approach integrates circular intuitionistic fuzzy logic with expert-derived confidence intervals to address hesitation, temporal dynamics, and subjectivity in performance assessments. Key dimensions—teaching, research, and institutional contribution—are decomposed into structured sub-criteria evaluated periodically by a panel of experts. A weighted aggregation mechanism captures both individual contributions and group-level productivity trends using dynamic reliability updates. A case study demonstrates the model’s effectiveness in producing interpretable, fair, and robust rankings across academic roles. The results show that CIC-IFPr enables holistic decision support for faculty boards and academic councils during annual evaluations and professional development planning, particularly for early-career educators.