User experience (UX) research aims to create products that are easy and enjoyable to use. One key measure in this process is the error rate . Understanding what error rate means and why it matters can help designers and researchers improve usability and create better experiences for users. Understanding Error Rate What Is Error Rate in UX Research? Error rate refers to the number of mistakes users make while interacting with a product, divided by the total number of opportuni

When users interact with a product or service, the time they spend completing specific tasks reveals a lot about the design’s effectiveness. This measure, known as time on task , plays a crucial role in UX research. It helps designers and researchers understand how easily users can achieve their goals, identify pain points, and improve overall user satisfaction. This post explains what time on task means, how it applies to UX research, and why it deserves your attention. Unde

User experience (UX) research aims to create products that are easy and satisfying to use. One key measure in this process is the Task Success Rate (TSR) . It tells us how well users can complete specific tasks when interacting with a product or service. Understanding TSR helps designers and researchers identify usability issues and improve the overall user experience. Task success rate What Is Task Success Rate in UX Research? Task Success Rate is a metric used to evaluate t

When users interact with a product, they bring their own expectations and assumptions about how things should work. These expectations come from mental models—internal representations of how people believe systems operate. Understanding mental models is crucial for UX researchers because it helps them design experiences that align with users’ thinking, making products easier and more intuitive to use. Mental models shape how users approach tasks, solve problems, and interpret

Longitudinal studies offer a powerful way to observe how subjects change over time. Unlike one-time surveys or experiments, these studies track the same individuals or groups across months, years, or even decades. This approach reveals patterns and trends that short-term research cannot capture. If you want to understand development, cause-effect relationships, or long-term outcomes, longitudinal studies provide unique insights. Longitudinal Studies What Is a Longitudinal Stu

Creating usability questions is a critical step in understanding how users interact with a product or service. Well-crafted questions reveal insights that help improve design, functionality, and overall user experience. Poorly designed questions, on the other hand, can lead to misleading data and missed opportunities for improvement. This post explores practical strategies to develop clear, focused usability questions that generate valuable feedback. Effective Strategies for

Asking the right questions is the foundation of any successful research or survey. Yet, many struggle with crafting questions that do not lead respondents toward a particular answer. Unbiased questions help gather accurate, reliable data that truly reflects the opinions, experiences, or facts you want to understand. This post explains how to write unbiased questions, why it matters, and practical tips to improve your surveys and research projects. Crafting unbiased questions

User experience (UX) research often focuses on understanding users and improving product design. Yet, one critical factor that can determine the success of UX efforts is how well stakeholders are engaged throughout the process. Measuring stakeholder engagement is not just a nice-to-have; it directly impacts the quality of insights, decision-making, and ultimately the product’s success. This post explains why stakeholder engagement metrics matter in UX research and how to use

Research generates valuable insights that can guide product development, marketing strategies, and customer experience improvements. Yet, many organizations struggle to ensure these insights translate into real-world actions. Measuring research reuse is critical to understanding whether teams are actually applying what they learn or if valuable knowledge is left unused. This post explores how to evaluate research reuse and offers practical ways to improve the implementation o