To enhance the quality of higher education institutions (HEIs), key performance indicators (KPIs) must be explored and measured. KPIs deems as a measurable value which explains the effectiveness of an institution and how it is achieving key objectives. Institutions use KPIs for ensuring that they are going on the right way or not. Many of the indicators for HEIs have been developed before, but the main question is how to choose the indicators that fit the institution for achieving goals and how to measure these indicators. This paper provides a model to explore and measure KPIs using text mining and feature extraction technique and measure indicators automatically rather than traditional methods of exploring based a questionnaire, we measure KPIs to know the impact of exploring these KPIs on the overall performance in HEIs. The data for the present study was collected by the Institute of Statistical Study and Research (ISSR) in Cairo University, and the impact of KPIs on the overall performance of the institution was evaluated. This study adopted pre-processing techniques and keyword extraction using text mining tool (RapidMiner) to conduct the research.