I have been studying and working in the field of HCI for more than four years. My focus is on qualitative research. I have experience with a variety of methods for data collection,  analysis, and design.

In my work, I follow an iterative process where data collection and analysis are key for design.

 

To understand user needs, I start by collecting data. I use different methods, depending on what I want to find out. Interviews to uncover people’s attitudes and narratives. Observations in the field and in the home to put actions in context. Diary studies to capture how behaviors change over time. Surveys to get a larger set of user stories.

 

Once I have some data, it’s time to analyze. If I need quick and basic insights, I use a simple method like affinity diagramming. I group data and identify common threads. But when I want to build a deeper understanding of user needs, I turn to thematic analysis and grounded theory. I go through data methodically, code snippets, compare and categorize quotes. I like to find patterns that unlock unexpected insights and tell the story behind people’s behaviors.

 

The move from data to design can take different shapes. I like to use sketches & paper prototypes when I have many ideas that I want to test fast. Speculative concepts or video prototypes for probing uncertain design directions. Interactive prototypes when the direction to follow is more clear. Then, using the designs, it’s time to collect data again. The cycle repeats.