Making visible dynamics within conversations enables us to see conversation quality, dynamics between participants, the impact of facilitators, and perhaps even quality of the conversation itself. In this project, we leverage natural language processing, machine learning, data visualization, and human-computer interaction techniques to unveil and create metrics for dynamics within conversations in an effort to evaluate quality of conversation.