With the widespread proliferation of smartphones, wireless connectivity data has become a powerful lens for studying human behavior and mobility. In this talk, I will focus on the full pipeline of using wireless connectivity data for mobility analysis. We will start from the design of the data collection itself: selecting the appropriate technologies, frame types, and header fields to capture, while embedding privacy-preserving mechanisms directly into this process. Then, we will address how to consolidate raw observations into coherent device-level views and how to build on these representations to reconstruct users’ trajectories. This spans the entire workflow, ultimately transforming raw signals into meaningful mobility and context insights.