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UX Research

UX Research

Practical Techniques for Designing Better Products
by Brad Nunnally 2016 256 pages
3.70
100+ ratings
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Key Takeaways

1. Research is fundamental to user-centered design and product success

If we knew what it was we were doing, it would not be called research, would it?

Historical context: Research has been integral to product development since the industrial revolution. From Frank Gilbreth's motion studies to modern UX research, understanding user behavior has driven innovation.

Modern applications: In today's digital landscape, research informs every aspect of product design:

  • User needs and pain points
  • Interface usability
  • Feature prioritization
  • Market positioning

Research methods have evolved, but the core principle remains: deeply understanding users leads to better products. Whether through analytics, surveys, or in-depth interviews, research provides the foundation for user-centered design decisions.

2. Good research starts with well-crafted, unbiased questions

The single biggest problem in communication is the illusion that it has taken place.

Question formulation: Crafting effective research questions is both an art and a science. Key considerations include:

  • Avoiding leading questions
  • Using open-ended inquiries
  • Eliminating personal bias
  • Addressing stakeholder needs

Question structure: A well-crafted question typically includes:

  • Setup (what, why, how, when, where)
  • Area of inquiry
  • Opportunity for laddering (follow-up probes)
  • Natural segue to the next topic

Researchers must practice asking questions, refine their approach, and be willing to adapt based on participant responses. The goal is to uncover genuine insights, not confirm preexisting assumptions.

3. Quantitative and qualitative methods offer complementary insights

Above all else, show the data.

Quantitative methods:

  • Focus on measurable data (e.g., click rates, conversion rates, time on task)
  • Provide statistical significance and trends
  • Examples: A/B testing, surveys, analytics

Qualitative methods:

  • Explore subjective experiences and motivations
  • Provide rich context and unexpected insights
  • Examples: Interviews, contextual inquiry, usability testing

The most effective research strategies combine both approaches. Quantitative data can reveal what is happening, while qualitative insights explain why. This holistic view enables teams to make informed decisions based on both hard numbers and human experiences.

4. Effective participant recruitment is crucial for meaningful research

My name is Harvey Milk, and I'm here to recruit you.

Recruitment strategy: Identifying and recruiting the right participants is essential for valid research. Key steps include:

  1. Defining user profiles based on product goals and existing data
  2. Creating a detailed recruitment screener
  3. Determining appropriate sample sizes and quotas
  4. Selecting recruitment methods (e.g., internal, public, or outsourced)

Challenges and solutions:

  • Limited user pool: Focus on problem-solving behaviors rather than specific product experience
  • Participant no-shows: Schedule backup participants
  • Difficulty finding niche users: Leverage professional recruitment services or client networks

Remember that recruitment is an ongoing process. Maintain relationships with past participants and continuously refine your screening criteria based on research goals.

5. Facilitation skills and improvisation are key to successful research sessions

It takes as much energy to wish as it does to plan.

Facilitation fundamentals:

  • Setting participants at ease
  • Active listening and observation
  • Managing time and session flow
  • Adapting to unexpected situations

Improvisation techniques:

  • "Yes, and..." - Building on participant responses
  • Active listening - Focusing on the present moment
  • Flexibility - Adjusting questions based on emerging insights

Soft skills: Developing emotional intelligence and reading body language are crucial for effective facilitation. Pay attention to:

  • Facial expressions and microexpressions
  • Body posture and gestures
  • Tone of voice and verbal cues

These skills allow researchers to navigate challenging situations, probe deeper into interesting areas, and create a comfortable environment for participants to share genuine insights.

6. Thorough data analysis transforms raw findings into actionable insights

Objectivity requires taking subjectivity into account.

Analysis process:

  1. Coding data points (quantitative and qualitative)
  2. Identifying patterns and themes
  3. Creating visual representations (e.g., affinity diagrams, journey maps)
  4. Synthesizing findings into key insights

Analysis methods:

  • Affinity diagramming
  • Frequency mapping
  • Spectrum analysis
  • SWOT analysis

Best practices:

  • Involve multiple team members for diverse perspectives
  • Allocate sufficient time (3+ hours of analysis per hour of research)
  • Iterate on organization and interpretation
  • Connect findings to business goals and user needs

Thorough analysis transforms raw data into a coherent narrative that drives product decisions and strategy. It's not just about presenting numbers or quotes, but about uncovering meaningful insights that inform design and development.

7. Communicating research results effectively drives product decisions and strategy

Study the past if you would define the future.

Reporting formats:

  • Executive summary (5-10 slides)
  • Full report (detailed findings and recommendations)
  • Video highlight reels
  • Interactive presentations

Key components:

  • Research objectives and methods
  • Key findings and insights
  • Supporting data and participant quotes
  • Actionable recommendations
  • Next steps and future research opportunities

Storytelling techniques:

  • Use a clear narrative structure
  • Highlight unexpected or contrarian findings
  • Connect insights to business goals and user needs
  • Provide specific examples and use cases

Effective communication of research results is crucial for stakeholder buy-in and driving product decisions. Tailor your presentation to your audience, focusing on actionable insights that directly inform strategy and design choices. Use a mix of data visualization, participant quotes, and compelling narratives to bring your findings to life.

Last updated:

Review Summary

3.70 out of 5
Average of 100+ ratings from Goodreads and Amazon.

UX Research receives mixed reviews, with an average rating of 3.72/5. Readers appreciate its comprehensive overview of UX research methods, making it suitable for beginners and adjacent fields. However, experienced professionals find it basic. Strengths include practical exercises, real-life examples, and coverage of both quantitative and qualitative research. Some readers note its value as a refresher course. Criticisms include repetitive content, lack of depth in certain areas, and excessive length. Overall, it's recommended as an introductory guide or reference for those new to UX research.

Your rating:
4.34
24 ratings

About the Author

Brad Nunnally is an experienced UX professional and author specializing in user experience design and research. He has written extensively on UX topics, with "UX Research" being one of his notable works. Nunnally's expertise lies in conducting user research, designing user interfaces, and developing strategies for improving digital products. He has worked with various organizations to enhance their user experiences and has contributed to the field through his writings and presentations. Nunnally's approach combines practical industry knowledge with theoretical foundations, making his work accessible to both newcomers and seasoned professionals in the UX field.

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