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This paper presents ongoing work on an approach to remotely observe the usage of connected products, analyze collected data and dynamically refine the observation mechanisms for better data. This allows for iteratively working towards the most elaborate, meaningful, and relevant representation of usage behavior in the form of structured and semantically annotated data traces. We show an implementation of the approach in the D'PUIS framework.