What is the value of using multiple methods to study a research question in UX?

Using multiple methods to study a research question in UX provides significant value by enhancing data accuracy and depth. This approach allows researchers to gather diverse perspectives and insights, leading to a more comprehensive understanding of user needs, behaviors, and experiences.

When employing a variety of methods, such as surveys, interviews, usability testing, and analytics, researchers can triangulate the data. This means that they can cross-verify findings from different methods, which helps to minimize biases and errors that might arise from relying on a single method. For instance, qualitative data from interviews might highlight specific user pain points, while quantitative data from surveys can validate the prevalence of those issues across a larger population. This rich, multi-faceted understanding not only informs design decisions more effectively but also leads to solutions that are more likely to meet user expectations and improve their experiences.

The other options do not provide the same level of benefit. Limiting data collection to one perspective would restrict understanding and overlook important insights, while reducing the time spent on research or avoiding complexity could lead to superficial conclusions that fail to capture the full scope of user experiences.