This article attempts at creating ways of contextualizing and visualizing the statistical information such as the census and surveys conducted by Bhasha, an Non-Governmental Organization (NGO) working in the tribal belt of Gujarat to construct a critique on the policy making processes. Looking at policy making processes as the methodologies that are used while deciding the relevant measures to be taken for policy formulation and implementation, one will have to try to elaborate on a set of cause and effect modules to determine the reasoning behind the decisions that are made. The reciprocity of these modules will eventually try to bring out the interconnectivity of the cause and effect of policy making. Working with the tabular construct of statistical information, one will initially try to visualize this information for the purpose of drawing inferences out of the data. Once the visualization part has been accomplished, one could proceed towards effective contextualization of these inferences to create a critique on the indices of the Quality of Life (QoL) of the people. These indices would then create the necessary context within which the policy directives could be constructed. It is the transformation of information from the statistical construct to a visual one that could enable broader participation of people in policy making. Looking at the changes in these visualizations in time would warrant a critique on the cause and effect model of policy directives. At the foundational level, the entire process is an exercise in understanding effective ways of communicating the necessity for change and tracing it within the domain of policy making.