What is a key component of analyzing and synthesizing research results?

Analyzing and synthesizing research results is crucial for uncovering insights that can drive design decisions. One key component is looking for patterns in both quantitative and qualitative data. This approach allows researchers to gain a comprehensive understanding of user experiences, preferences, and behaviors, thereby capturing the full scope of user insights.

When both types of data are examined together, patterns or trends can emerge that might not be evident from a single data type alone. For instance, numerical data can indicate how many users prefer a particular feature, while qualitative data can reveal the reasons behind this preference, providing richer context. This kind of holistic analysis helps to create user-centered designs that better address user needs and problems.

The other options focus on aspects that do not directly contribute to the core analysis and synthesis of research results. Ignoring qualitative data limits the understanding of user experiences; establishing a timeline, while important for project management, does not aid in interpreting data; and listing obstacles might be useful for reflection but does not contribute to synthesizing findings or drawing actionable insights from the research.