Okra (Abelmoschus esculentus L. Moench) is a nutritionally significant vegetable crop cultivated extensively across tropical and subtropical regions of the world. The present investigation was conducted to assess genetic variability, correlation, and path coefficient analysis in F₃ populations derived from the cross OK-2017-010 × Varsha Uphar during Kharif 2024 at the Department of Biotechnology and Crop Improvement, College of Horticulture, Bengaluru. The experimental material comprised 25 F₃ families evaluated using an Augmented Block Design (ABD), along with two parents and five standard checks. Fourteen quantitative traits related to yield and yield-contributing characters were assessed. Substantial genetic variability was observed among all traits studied. Stem girth, total yield per plant, number of seeds per fruit, internodal length, and number of nodes exhibited high genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV). High heritability coupled with high genetic advance as a percentage of mean (GAM) was recorded for total yield per plant (h²bs: 96.58%, GAM: 52.01%), stem girth (99.54%, 288.57%), number of seeds per fruit (83.98%, 44.49%), internodal length (86.63%, 42.29%), and number of nodes (98.72%, 39.10%), indicating the predominance of additive gene action and the effectiveness of direct selection for these traits. Correlation analysis revealed that total yield per plant exhibited highly significant positive associations with number of branches per plant (r = 0.964**), fruit length (r = 0.961**), number of fruits per plant (r = 0.725**), and average fruit weight (r = 0.659**). Path coefficient analysis identified number of fruits per plant (0.705), average fruit weight (0.428), and number of branches per plant (0.264) as having the highest positive direct effects on yield. These findings collectively suggest that simultaneous selection for these traits would constitute an effective and efficient breeding strategy for developing high-yielding okra cultivars. The considerable genetic diversity observed in this population offers a valuable genetic resource for future okra improvement programs.