| Description |
ix, 277 p. ; 24 cm. |
| Note |
Includes bibliographical references and index |
| Contents |
Chapter 1 Introduction: why is user research so important? -- Chapter 2 Planning, objectives and legalities in user research -- Chapter 3 Best practice in user research: who, what, why and how -- Chapter 4 Managing user research logistics: agencies, facilities and contracts -- Chapter 5 Usability testing: observing people doing things -- Chapter 6 Content testing: what do people think your content means? -- Chapter 7 Card sorting: understanding how people group and relate things -- Chapter 8 Surveys: how to gauge a widespread user response -- Chapter 9 User interviews: understanding people's experience through talking to them -- Chapter 10 Diary studies: how to capture user research data over time -- Chapter 11 Information architecture validation: does the structure of your information work for your users? -- Chapter 12 Ethnography: observing how people behave in the real world -- Chapter 13 Contextual inquiry: interviewing people in their own environment -- Chapter 14 A/B testing: a technique to compare different options -- Chapter 15 Getting the best out of stakeholder workshops -- Chapter 16 Guerrilla research: running fast-paced research in the real world -- Chapter 17 How to combine user research methodologies -- Chapter 18 Content analysis: a method of coding and making sense of your qualitative data -- Chapter 19 Affinity diagramming: understand your data through identifying its themes -- Chapter 20 Prioritizing issues and user needs: what's important and what to work on next -- Chapter 21 Making recommendations: how to make your research findings actionable -- Chapter 22 Creating executive summaries and detailed reports to present results -- Chapter 23 Using video playback to present your research results -- Chapter 24 Using personas to communicate user characteristics and behaviours -- Chapter 25 Using mental models to visualize how users think and identify opportunities -- Chapter 26 Using journey and experience maps to visualize user research data -- Chapter 27 Using scenarios and storyboards to represent the user journey -- Chapter 28 Using infographics to translate numerical and statistical data -- Chapter 29 How to recommend changes to visual, interaction and information design |
| Summary |
This book part one explains how to avoid gathering biased and inaccurate data by asking the right questions and using the power of observation (you can't neccessarily rely on what people are saying). There are some things we need to think about before we delve into the nitty gritty of choosing the right research method, how to implement it and then analyse the data. There are fundamentals that go across all methodologies. In this part of the book we'll look at selecting the right method for your current research needs and learn how to use each method effectively. There are many situations where you will need to use multiple methods to get the answers you need (see Chapter 17 on combining methoddologies). For example, if you are looking to understand who your users are, you may want to start with a survey to gather and analyse high-level information about them. After the survey, you could do interviews to get a more in-depth understanding of your users, particularly how they think and behave. In this part three now that you have done the research, you'll probably have huge amounts of data and you need to work out what to do with it: not only how to analyse the data, but also how best to share the results to have the most effective impact. What you do with it depends on several factors: the purpose of the research, the kind of research you've done, the audience for the research results, how much time and resource you have. |
| Subject |
Consumers -- Research -- Methodology
|
|
Internet users -- Research -- Methodology
|
|
User-centered system design
|
|
Human-computer interaction
|
| ISBN |
9780749481049 (pbk.) |
|
