Developing ore body knowledge for a deposit spans from collecting data from exploration and resource evaluation, followed by multiple iterations of interpretation, geological modelling and metallurgical testing. The management and effective communication of information between teams is critical for downstream business decisions. Typically, in large organisations the successful transaction of information can at times be challenging and stymied by the silo effect. Here we present an example where information has been communicated effectively between teams to better utilise the resources hosted by a Channel Iron Deposit (CID) in the Pilbara. In this case, more informed decisions were able to be made in the mine planning space where an opportunity for additional future revenue was realised by increasing blending material as plant feed which would otherwise be destined to a long-term stockpile.Geological observations from the resource evaluation stage drilling identified regional differences within the deposit that allowed both geologists and metallurgists to work collaboratively to establish geometallurgical domains. These domains were used as a basis for the design of the metallurgical diamond drilling composites which were tested for a process response. These responses were found to be unique for each geometallurgical domain.Predicting product grade and yield is an integral part of the value chain as it contributes to the mine planning process for existing and future Rio Tinto Iron Ore operations. A crucial step in developing these regressions is identifying discrete geometallurgical domains. This involves exploratory data analysis whereby composites with similar process responses are clustered together and are differentiated from dissimilar groups by geological features and chemical variables. Contingent to this is obtaining an extensive understanding of the deposit characteristics along with the support of a comprehensive data set. Once established these domains provide mine planning with higher resolution on material behaviour to maximise crusher feed opportunities. There is ongoing work at Rio Tinto to continually improve geometallurgy practices. One aspect is by promoting the awareness and value of effective information communication to downstream work and closing the loop by providing feedback for validation. This involves collaborative work between geologists, metallurgists and mining engineers from different divisions, breaking the silo effect, and making the link between available geological information to predict and explain a metallurgical response. CITATION:Nguyen, T, Talukdar, S, Wlasenko, M and McKee, J, 2019. A geometallurgical approach to product predictions at a channel iron deposit in the Pilbara, in Proceedings Iron Ore 2019, pp 393400 (The Australasian Institute of Mining and Metallurgy: Melbourne).