[Skip Navigation]
Web Content Design and Evaluation
Module 1: Introduction and Overview
Module 2: Determining Your Target Audience
Module 3: Developing Goals and Objectives
Module 4: Content and Accessibility
Module 5: Web Site Marketing
Module 6: Evaluation and Realistic Expectations
Module 7: Automated and On-line Survey Methods
Module 8: Surveys and Other Indicators of Effectiveness
Module 9: Making the Process Continuous
Web Content Design and Evaluation
Module 7
Home
BackNext

Automated and On-line Survey Methods

Evaluation of Web content effectiveness is difficult — this is a given. And conducting surveys and interviews is time-consuming and often costly. However there are other means to perform Level 2 evaluations (Evaluation—Learning). In this module the focus is on the use of a type of statistic called Web metrics and novel ways to analyze them.

Module Objectives:

After completing this module, you will be able to:

  • Describe the difference between basic and advanced Web metrics.
  • Explain why Web metrics are limited in what they can reveal.
  • Discuss how Web-log data can be re-conceptualized as a survey sample of Web visitors and why this is useful.
  • Define the Maslow Hierarchy of Human Needs.
  • Relate the Maslow Hierarchy to Kirkpatrick’s Four Levels of Evaluation.
  • Explain how Maslow’s Hierarchy can be used to examine a user’s experience with your Web site.
  • List the five “Traffic” indicators suggested by Darren Peacock and explain their significance.
 
Home
BackNext