1. Part 4: Evaluation Days 25, 27, 29, 31 Chapter 20: Why evaluate? Chapter 21: Deciding on what to evaluate: the strategy Chapter 22: Planning who, what, where, and when Chapter 23: Deciding how to collect data Chapter 24: Final preparations for the evaluation Chapter 25: Analysis and interpretation of user-observation evaluation data Chapter 26: Inspections of the User Interface Chapter 27: Variations and more comprehensive evaluations

2. Roles for Evaluators Facilitator Note-Taker Equipment Operator Observer Meeter and Greeter Recruiter Lone Evaluator Role of Pilot Testing

3. Data Quantitative –Time to complete task –Number or percentage of errors Also affects time to complete –Percent of task completed in given time –Ratio of successes to failures –Number of commands used –Frequency of help usage Qualitative –???

4. Data Demographic –Info about the participant, used for grouping or for correlation with other measures e.g. handedness; age; first/best language; SAT score Gather only what is relevant!

5. Analyzing Data Quantitative –Tabulations, charts, rankings –Descriptive Statistics Mean, median, mode –Inferential Statistics