Abstract: Existing performance evaluation systems have the disadvantage that they heavily rely on metrics such as lines of code, function points and user story points, which is not a suitable approach for a rapidly evolving technology such as blockchain. The disclosure herein generally relates to user performance evaluation, and, more particularly, to a method and system for user performance evaluation based on tracked user actions. The system tracks user actions, and then generates an efficiency matrix and an inefficiency matrix. Further, a user performance score is generated as a function of the efficiency matrix and an inefficiency matrix. Further, a performance level of the user is determined based on the calculated user performance score.

Abstract: The present disclosure provides personalized programming guidance to blockchain developers to increase productivity. Conventional methods perform static analysis on the quality of code and fails to provide personalized guidance to developers. The present disclosure receives a plurality of actions associated with a blockchain operation performed by a user and compares with the predefined actions. Further, an activity data associated with the user is updated based on the comparison. An activity grade is computed based on the activity data and a corresponding weightage associated with each of the plurality of actions. A grade data associated with the user is evaluated based on the activity grade. Further, a current proficiency value is computed based on an initial proficiency score and the evaluated grade data. A current proficiency grade of the user is updated based on the current proficiency value and a plurality of recommendations are generated based on that.