1. Chapter 25 Analysis and interpretation of user observation evaluation data

2. UIDE Chapter 25

3. Introduction: How to Analyze and Interpret Data from Your Evaluation
Collating the Data
Summarizing the Data
Extract key comments from the collated data.
UIDE Chapter 25

4. Reviewing the Data to Identify Usability Problems
Usability Defects (characteristics)
Irritates or confuses the user
Makes a system hard to install, learn, or use
Causes mental overload for the user
Causes poor user performance
Violates design standards or guidelines
Reduces trust or credibility of the system
Tends to cause repeated errors
Could make the system hard to market
UIDE Chapter 25

5. Working with Quantitative Data
Tabulations, charts, and rankings for visual rep.
Descriptive statistics: mean(average), median(middle value), mode(most common value)
Inferential statistics: tests of statistical significance yielding probability.
UIDE Chapter 25

6. UIDE Chapter 25

7. Working with Qualitative Data
An Example of Data from Global Warming
Making Decisions with Qualitative Data
Grouping comments or observed problems
Establish a coding scheme
UIDE Chapter 25

8. Interpretation of User-Observation Data
Assigning Severities (HML)
Recommending Changes(see p. 517)
UIDE Chapter 25

9. Writing the Evaluation Report
An Academic Report on Global Warming(review)
Should You Describe Your Method?
For academics – yes, for business usually no
Describing Your Results
Graphics, screenshots help
UIDE Chapter 25