In smart manufacturing environments sensors are collecting data about work processes. This data likely also contains references to actions of a single worker, which can be considered personal data. Privacy dashboards convey information on what personal data is stored by a system and provide means for users of a system to control what personal data is shared according to their needs. Dashboards put the control over their personal data in the hands of the users. However, to act as a trust building component, the dashboard needs to convey or mediate the trade-off between the user’s privacy and the benefits of data sharing. This work describes the design process and an elicitation of preliminary requirements for a privacy dashboard that is developed in the context of the H2020 project HUMAN Manufacturing.