视觉分析:揭示数据背面的原因

人们往往难以理解传统网络分析,因为它只显示网站访问次数和点击途径。为传统方法增添点击追踪热图、会话重播或表单分析,可帮助研究人员了解用户行为背面的原因。可视化分析工具不仅能让研究人员深入了解情况,而且还充分证明了根据数据改进网站的必要。这些工具成本较低且易于使用。

文章全文为英文版

Mozyrko, B. (2015). 视觉分析:揭示数据背面的原因. User Experience Magazine, 15(3).
Retrieved from http://uxpamagazine.org/visual-analytics/?lang=zh

One Response

  1. Michael Beasley说道:

    This article argues that visualizing web analytics data answers the question of “why” users do what they do, in a way that either plain numbers and/or page-to-page path data do not. I must disagree: Neither kind of data actually reveal the “why” of user behavior. Rather, things like heatmaps and session recordings are just representations of plain, why-less data. You then write that visualizations help people digest large amounts of data. While true, I must also disagree: understanding large amounts of data still doesn’t solve the problem of “why,” as you suggest.