The author uses game theoretical models to identify technical communication breakdowns encountered during the notoriously confusing Texas Two-Step voting and caucusing process. Specifically, the author uses narrative theory and game theory to highlight areas where caucus participants needed instructions to better understand the rules of the game and user analysis to better anticipate participants' motives and strategies. As a central tool of analysis, the author uses Nobel Laureate John C. Harsanyi's work on "incomplete game" or Bayesian games. The article demonstrates opportunities for technical communication scholars and teachers to use inter-disciplinary approaches to discover layers of technical communication in small group negotiations and to evaluate the layers of instructions and technologies needed to facilitate effective and ethical decision making in political caucusing.