Algorithmic management is establishing itself as an emergent technology that creates value for businesses all over the world. It has however led to an epidemic of wellbeing issues among workers managed by it. Recently human-computer interaction researchers have started to investigate how to design it in ways to instead foster wellbeing. This thesis builds on the aforementioned growing field of research and aims to contribute by conducting a research through design study through the lens of Self-determination theory by answering the research question: “What worker-centred design guidelines can be formulated to ensure that algorithmic management systems foster wellbeing and motivation in retail environments?”. To answer this research question, contextual inquiries and design workshops with retail workers informed the formulation of eight guidelines for designing algorithmic management for wellbeing and motivation. The guidelines are to be seen as a foundation when designing retailstore algorithmic management systems to motivate workers using the system, ratherthan lowering their sense of wellbeing