The abundance of big data has paved a way for its use in secondary mathematics classrooms. Model eliciting activities with participatory sensing data allows us to determine how well teachers can navigate a statistical investigative process, as defined by the Data Cycle. Video coding helps to map teacher progress through the different phases of the Data Cycle, as well as periods of “stuckness'” during a model-eliciting activity.