Machine generated contents note: 01.Introduction: why is user research so important?
What is user research?
Who is this book for?
Why do user research?
What will you learn in this book?
pt. One The fundamentals: What good research looks like
02.Planning, objectives and legalities in user research
When is the right time to do user research?
Be clear what your research is about
Be aware of the ethical and legal issues
Planning your user research
03.Best practice in user research: who, what, why and how
Who should be involved in your research?
How do you get the right participants?
Incentivizing people to take part
Understanding the importance of observation
Asking the right kind of questions
Accessibility and inclusion
04.Managing user research logistics: agencies, facilities and contracts
Logistics
Hiring agencies, choosing facilities, signing contracts
pt. One Summary
Contents note continued: pt. Two Selecting and using user research methods
05.Usability testing: observing people doing things
What is usability testing?
The fundamentals of moderated usability testing
The fundamentals of unmoderated usability testing
Summary of usability testing
06.Content testing: what do people think your content means?
What is good content?
What content testing is good for
What content testing is not good for
Effort required to do this kind of research
When to use content testing
How to test the effectiveness of content
07.Card sorting: understanding how people group and relate things
What is card sorting?
What card sorting is good for
What card sorting is not good for
When to use card sorting
How to do card sorting
Tools for card sorting
Summary
08.Surveys: how to gauge a widespread user response
What are surveys?
What surveys are good for
Contents note continued: What surveys are not good for
When to do a survey
How to do surveys
Survey tools
09.User interviews: understanding people's experience through talking to them
What are user interviews?
What user interviews are good for
What user interviews are not good for
When to do user interviews
How to do user interviews
Interview tools
10.Diary studies: how to capture user research data over time
What are diary studies?
What diary studies are good for
What diary studies are not good for
When to do a diary study
How to do a diary study
Diary study tools
11.Information architecture validation: does the structure of your information work for your users?
What is information architecture?
What information architecture validation is good for
Contents note continued: What information architecture validation is not good for
When to do information architecture validation
How to do an information architecture validation
12.Ethnography: observing how people behave in the real world
What is traditional ethnography?
What ethnography is good for
What ethnography is not good for
When to use ethnography
How to do ethnography
Extending your ethnographic reach with mobile devices
Ethnography tools
13.Contextual inquiry: interviewing people in their own environment
What is contextual inquiry?
What contextual inquiry is good for
What contextual inquiry is not good for
When to use contextual inquiry
How to do contextual inquiry
Tools
14.A/​B testing: a technique to compare different options
What is A/​B testing?
Contents note continued: What A/​B testing is good for
What A/​B testing is not good for
When to use A/​B testing
How to do A/​B testing
Tools for A/​B testing
15.Getting the best out of stakeholder workshops
What is a stakeholder workshop?
What stakeholder workshops are good for
What stakeholder workshops are not good for
When to use workshops
How to run a workshop
Workshop tools
16.Guerrilla research: running fast-paced research in the real world
What is guerrilla research?
What guerrilla research is good for
What guerrilla research is not good for
When to use guerrilla research
How to do guerrilla research
Tools for guerrilla research
17.How to combine user research methodologies
Where to start when advocating user research
Common research scenarios and combining methodologies
Contents note continued: pt. Two Summary
pt. Three Analysing and presenting your data
18.Content analysis: a method of coding and making sense of your qualitative data
How to do content analysis
Advantages of content analysis
Disadvantages of content analysis
19.Affinity diagramming: understand your data through identifying its themes
How to do affinity diagramming
Analysis through group work
Putting it all together
Advantages of affinity diagramming
Disadvantages of affinity diagramming
20.Prioritizing issues and user needs: what's important and what to work on next
Cataloguing issues from qualitative data
Cataloguing issues from quantitative data
21.Making recommendations: how to make your research findings actionable
What kinds of things can you recommend?
22.Creating executive summaries and detailed reports to present results
Report structure
23.Using video playback to present your research results

Choose and use the right research method, analyze the resulting data, and make effective use of the findings, with this practical and straightforward guide to user research