Research On A Company's Data-driven Product Iteration Scheme

With the rapid development of the new generation of information technology,Internet products are more and more deeply affecting people's lives.Creating a successful internet product requires continuous grinding of the product to make it more and more satisfying the user's needs,and the way it comes is to iterate through the product.Company A's knowledge service platform is one of such internet products.There are some problems in the process of product iteration.The purpose of this paper is to analyze the problems in the process of product iteration of company A,find out the reasons,and propose a solution.This paper analyzes the problems existing in the current situation of product iteration of company A,and believes that the product iterative decision-making process is not standardized,the lack of objective requirements judgment basis,the lack of ways to find out user's requirements and the lack of effective test methods for product iteration results are the causes of the problems.For the causes of these problems,a data-driven product iteration scheme is designed to solve the problem.This paper discusses the construction goal,construction principle,data source and acquisition method of the scheme.Six data-driven product iteration tools,including data kanban,retention analysis,simultaneous group analysis,A/B test,funnel analysis and user behavior analysis,are proposed.Lastly,the way to guarantee the implementation of this scheme is put forward from the aspects of enterprise culture,management system,talent system,knowledge management and long-term mechanism.The introduction of data-driven ideas and methods will not only solve the current problems encountered by company A's product iteration,but also will build a solid foundation for company A's development in the era of big data.