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The Brazilian Geodesign platform was proposed based on extensive experience in Geodesign workshops, aiming to adapt the method to the country’s cultural specificities, with a commitment to support the construction of opinions in planning, in the process of transformative-learning planning. To test the scalability of the method, a study was developed in 13 metropolitan regions of the country, with the involvement of universities, distributed from north to south, in different biomes and urbanization conditions. The same method was proposed for everyone, starting from the same collection of 40 thematic maps to support discussions about alternative futures in land use. Participants used the GISColab platform and went through the same stages of analysis, proposition, and negotiation of ideas. As a result, there was an improvement in the projects developed between the first and the last day of work, with the expansion of compliance with the goals of sustainable development (SDG) and areas for carbon credit. It was possible to observe that, although they used the same framework proposed, each group adapted the method to their local reality, proving the scalability of the process and the necessary flexibility for employment in different realities, ensuring a defensible and reproducible criterion. As recommendations, it would be interesting to apply the same study of multiple simultaneous cases in another country, to analyze the scalability and flexibility to local changes, as it happened in the experiment. This would be entirely possible, as the platform is based on worldwide OGC standards (Open Geospatial Consortium) and would have full interoperability in use.

This paper argues that the opportunities offered by currently available collaborative Planning Support Systems (PSS) are useful not only for applying a systems approach and coordinating actors in the planning process, but also for tracking the evolution of design alternatives toward a final plan. The availability of process log-data in the latest PSS opens new paths for understanding (geo)design dynamics. With the aim of taking full advantage of this new data source, a novel Geodesign Process Analytics is described in detail from log-data extraction and pre-processing methods and tools to the development of the set of spatial, performance, temporal and design evolution indicators. The study also demonstrates how the proposed measures are appropriate for display in a dynamic dashboard, making available a real-time process analysis tool to the team coordinators, thus supporting their leading role in facilitating the geodesign process. The research assumptions were tested using the Geodesignhub PSS and data from a geodesign study developed within the International Geodesign Collaboration.