Design method for analyzing user experience

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User experience design should choose which method, I think still need to start from the user, a large number of user data can determine the usability of the Web page. Here's how to do this.

A long time user sample is used to estimate the overall user situation. For example, your site users have a number of registered users, you need to consult their comments on the site improvement, you have to send them an email questionnaire. But because of all the restrictions, you can't send every user, and you've received more than 1500 valid questionnaires. Make it clear how much more than 1500 questionnaires you have collected can represent a total of 2 million. At this point, you need to estimate the error range. Can you say that half of the people you support are supported if you have a 52% support program? Of course not, because your error range may be about 2.5%. Of course, the range of error and your choice of confidence is related, here because of the time limit I will not elaborate.

Users are subdivided according to their behavior and characteristics. The concept of clustering needs to be used to classify individual users with similar behaviors and characteristics by the similarity calculation. Comparison of the commonly used classification algorithm, like K-means. For example, you do a business-to-business ecommerce site. You will consider what scale to divide the user is better, such as the size of the manufacturer, the product belongs to the industry, is still his trade model (manufacturers, foreign trade companies, wholesalers, retailers) and so on.

The correlation analysis of website design and trade target. Websites often make improvements, and if you have all the relevant historical notes you can analyze which designs improve the user's activity or conversion rate. With the correlation analysis, you can see which design improvements are more active or transformational for the user, and you can also see which design elements can improve each other to promote the completion of trade goals, which will not work, or counterproductive. (when, these analyses are based on the distractions you've already eliminated from the operation and promotion flow.)

Metrics for the overall user experience of the site. Face every day tens of hundreds of Web site data of various indicators, I believe that there is a proportionate department of people, including bosses can not understand. This is my station, the user reaction experience is also good www.y3web.com, Google's various indicators are said to have more than 2000. How much does this data metric mean to the user experience, and perhaps no one can be completely clear. At this time, the site needs a similar stock index indicators to measure the overall user experience of the site, and the trend of change. This requires a long-term tracking of the data, statistics, correlation comparison can be completed.