A processor-implemented method of measuring a user experience of at least one information visualization of an application comprising: receiving, via an input/output interface, a plurality of parameters of information visualization of the application, usage data, and one or more feedbacks on each of the plurality of parameters of information visualization from a plurality of users, wherein the plurality of parameters comprising quantitative parameters and qualitative parameters of information visualization; analyzing, via one or more hardware processors, the usage data, and the one or more feedbacks on each of the plurality of parameters of information visualization from a plurality of users based on a natural language processing to allocate a quantitative value against each of the received qualitative parameters of information visualization using a predefined range of scores; quantifying the qualitative value and feedback using multi-point scaled feedback and sentiment analysis via NLP, wherein the sentiment analysis is conducted by determining a count of positive vs negative statements of the plurality of users; determining, via the one or more hardware processors, complexity of visualization based on a predefined set of complexity definitions for the plurality of parameters of information visualization; benchmarking, via the one or more hardware processors, each of the plurality of parameters of information visualization based on the determined complexity of visualization and a predefined threshold to get a benchmarked value; calculating, via the one or more hardware processors, a pragmatic score, and a hedonic score for each of the plurality of parameters of information visualization based on the allocated quantitative value against each of the received qualitative parameters and the benchmarked value of each of the plurality of parameters of information visualization; plotting, via the one or more hardware processors, a scatter chart based on the calculated pragmatic score and hedonic score; dividing, via the one or more hardware processors, the plotted scatter chart into a plurality of sections to identify one or more scenarios; and measuring, via the one or more hardware processors, the user experience to profile the at least one information visualization of the application based on the identified one or more scenarios. receiving, via an input/output interface, a plurality of parameters of information visualization of the application, usage data, and one or more feedbacks on each of the plurality of parameters of information visualization from a plurality of users, wherein the plurality of parameters comprising quantitative parameters and qualitative parameters of information visualization; analyzing, via one or more hardware processors, the usage data, and the one or more feedbacks on each of the plurality of parameters of information visualization from a plurality of users based on a natural language processing to allocate a quantitative value against each of the received qualitative parameters of information visualization using a predefined range of scores; quantifying the qualitative value and feedback using multi-point scaled feedback and sentiment analysis via NLP, wherein the sentiment analysis is conducted by determining a count of positive vs negative statements of the plurality of users; determining, via the one or more hardware processors, complexity of visualization based on a predefined set of complexity definitions for the plurality of parameters of information visualization; benchmarking, via the one or more hardware processors, each of the plurality of parameters of information visualization based on the determined complexity of visualization and a predefined threshold to get a benchmarked value; calculating, via the one or more hardware processors, a pragmatic score, and a hedonic score for each of the plurality of parameters of information visualization based on the allocated quantitative value against each of the received qualitative parameters and the benchmarked value of each of the plurality of parameters of information visualization; plotting, via the one or more hardware processors, a scatter chart based on the calculated pragmatic score and hedonic score; dividing, via the one or more hardware processors, the plotted scatter chart into a plurality of sections to identify one or more scenarios; and measuring, via the one or more hardware processors, the user experience to profile the at least one information visualization of the application based on the identified one or more scenarios.