The final reading by Frick and Boling is divided into three sections: building a Web prototype, assessing and maintaining the site, and conducting the analysis. The first section provides an overview of hosting servers and the programming languages you might use for your site. It offers different approaches for building the site as well as precautions.
The second section explains in detail how to test your site for quality assurance. It provides a sample QA matrix, explains how to use this matrix, and discusses the QA process.
The final section explains how to conduct a thorough needs assessment and analyze the results. It presents advantages and disadvantages of one-on-one interviews and focus groups. It also offers many tips for reviewing the data collected and eventually drawing conclusions.
Critique:
This last reading started off slow but really provided some good information in the final two sections. I didn’t find the first section extremely useful because it either covered basic information such as its overview of the Web or information that I wasn’t interested in, such as the descriptions of different programming languages. However, sections 2 and 3 were well worth reading. I liked the QA matrix that was presented in section 2 as well as the systematic approach the authors take to QA. I also liked how they explained prioritizing bugs and their distinctions between priorities one through four. My favorite part of section 3 explained how analyze and synthesize data. I find this to be the hardest part of conducting interviews and focus groups. Collecting data can be fun and interesting but analyzing the data is often challenging and overwhelming. The authors describe an approach that I believe is very effective. I appreciated the practical tips that were provided throughout this section. For example, to identify trends in data, the authors recommend:
- Really look at what’s there
- Look for items that are similar
- Look for items that may be linked
- Look for items that are missing
- Pay attention to the questions that come to your mind
- Don’t be too quick to summarize the data
- Be sure to summarize the data eventually (p. 131-134)