User experience: User behavior Research

The main work of user behavior research is to study the behavior of users, through the study of user behavior to better users, understand the needs.

In the Internet product, the user visits our website, we design our website. A key question is how we can understand our users, who they are, and what habits and preferences they have.

Luckily, when users visit our site, they leave traces of their access records, and we can learn about the user's habits and attributes by digging through these records and analyzing their behavior on our site. Then we can improve our web page, can optimize our page design, also can optimize our products, targeted to the user to introduce some information. Therefore, the core content of user behavior research is user behavior analysis.

What is user behavior analysis, and value criteria?
User behavior analysis, refers to the access to the basic data of the site, the relevant data statistics, analysis, find out the law of users visit the site, and these laws and network marketing strategies, and so on, so that the current network marketing activities may exist problems, and to further revise or redesign the network marketing strategy to provide the basis.

User behavior analysis should include the following key analysis data:
Users in the site time, bounce rate, return visits, new visitors, return visits, a return visit days apart;
Registered users and unregistered users to analyze the browsing habits between the two;
Users use search engines, keywords, associated keywords and keywords in the site;
The user chooses what kind of entrance form (advertisement or website portal link) more effective;
The user visits the website flow, uses to analyze the page structure design is reasonable;
Users on the page of the Web page hotspot map distribution data and Web page coverage chart data;
The amount of traffic that the user has at different periods of time.

This is a quantitative analysis method, mainly by means of quantitative analysis, using data and models to interpret the user, to restore the real thing happening across the screen.

This method has been widely used in many fields. A more successful case is the personalized learning system.

This is a platform for students to study and submit assignments. The system will judge the students ' mastery of knowledge and habit of learning according to the progress of the students ' browsing course, the frequency of submitting their homework and the correct rate. Then use this as the basis to adjust the course arrangement in time, has achieved the goal of individualized.
The main method of analysis is Markov model for students ' browsing record modeling.