<p>Selecting retrofits for resource recovery to existing wastewater treatment plants is difficult, requiring the evaluation of multiple technological pathways against diverse sustainability criteria. This paper applies the New Energy and Resource from Urban Sanitation Decision Support Tool (NEREUS DST) framework in a Multi-Criteria Decision Analysis (MCDA) to aid the selection of treatment trains to enhance resource recovery from municipal wastewater in Zvishavane Town. Data for influent characteristics were collected over a twenty-week sampling period and averaged. Criteria and sub-criteria weights were based on expert consultation with the town engineer for Zvishavane Town Council. Influent characterisation revealed a wastewater with medium-to-high strength and high biodegradability, indicating significant resource recovery potential. Stakeholder consultation prioritised environmental sustainability (33% weight), particularly health impacts, over technical (28%), economic (22%), and social (17%) criteria. The NEREUS-DST recommended an integrated train including struvite precipitation (recovering ~40% P, ~47% N), anaerobic digestion coupled with pyrolysis (25% energy recovery), and advanced membrane filtration with disinfection (93% water recovery). While technically feasible, a critical analysis exposes substantial implementation barriers, including high capital costs (US$655,910), complex operational requirements for coupled systems, and institutional gaps in regulation and cross-sectoral coordination. The study concludes that transitioning to a circular economy in this context necessitates moving beyond techno-economic optimisation. It advocates for a phased, adaptive implementation strategy supported by hybrid financing, capacity building, and proactive policy development. This work demonstrates the value of MCDA tools for planning while providing a realistic socio-technical roadmap for implementing resource recovery in water-scarce, resource-constrained cities of the Global South.</p>