Picking services are essential in logistics and supply chain management. Among these service providers, manual packaging workstations are vital in situations where full automation is not feasible due to economic or operational reasons. This paper presents an overview of A/B testing in VR design projects and affordable ergonomics measurement techniques, which can be used in education as well as in industry. The concept develops and assesses a virtual reality A/B-testing framework that facilitates an iterative, data-driven approach to workstation design, helping to avoid expensive physical prototyping and which allows students to create said scenarios with limited resources available. The modular pipeline includes a virtual prototype stand with standardized task logic, a controlled experimental protocol across six workstation variants, automated collection of head- and hand-trajectory data, automatically computed key performance indicators related to efficiency and ergonomics, and subsequent inferential analyses. Following the implementation, 20 participants empirically test various configurations multiple times to investigate learning effects on times, movement distances, and strain. In addition to the empirical findings, the work provides a reusable infrastructure for VR-based workstation engineering, facilitating rapid evidence-based iteration and a reduction of real-world prototyping.