A set of short studies exploring how teams manage shared equipment, find what they need, and deal with real operational constraints.
Part of an ETH MAS thesis on operational workflows and early-stage product learning
View available studiesMany technical and research environments rely on shared equipment, distributed tools, and informal coordination. These studies aim to understand how this works in practice, where current approaches create friction, and what would realistically work in real-world environments.
This research is based on early observations from engineering and research environments where shared equipment and coordination create recurring challenges.
How do teams keep track of what exists, where it is, and whether it is ready to use?
Open studyHow do people identify the right equipment for a task when they do not already know the exact asset?
Coming soonWhat information (setup, usage, issues) do people need before they can confidently use equipment?
Coming soonWhat level of asset tracking is actually realistic to maintain in practice, and who would be responsible for it?
Coming soonShort reflections and insights from ongoing research on equipment workflows and operational realities. Research notes will be published here as the project progresses.
View research notesThis research is part of a study focused on early-stage product learning in technical environments. The work is conducted in the context of exploring how shared equipment and operational coordination are managed in practice across labs and engineering teams.
The goal is to understand real workflows and constraints before building further solutions. This project is conducted by Stephan Caruso as part of his MAS thesis at ETH Zurich.
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