Two of the fundamental sources of data for requirement gathering for system upgradation are usage monitoring data and feedback data. Work has been done to acquire both individually and collectively. Our work aims at validating the existing methods for combining feedback and monitoring data on a large scale. Once we observe the enhancement in eliciting and prioritizing software requirements by combining the usage monitoring data with feedback data, we will develop a recommender system for requirement elicitation and prioritization. We have developed prototypes for data gathering agents built in JavaScript and connected to our server through REST APIs so that we don’t affect the original code base of deployed applications. Once done with testing locally we will take it to production and proceed further. Validation will be done on SAKAI learning management system implementations in educational institutions. Quantitative and qualitative comparison will be made with the data available with the open source SAKAI issue tracker.