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

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Presentation transcript:

Chapter 25 Analysis and interpretation of user observation evaluation data

UIDE Chapter 25

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

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

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

UIDE Chapter 25

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

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

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

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