Resilient. Inquisitive.
Adaptable.

I began my UX career in 2018, assisting with inspection testing during a website development project. Since then, I’ve worked closely with designers, engineers, product managers, and business heads to create impactful user-centered experiences.

With dual master’s degrees in Psychology and Human-Computer Interaction, I focus on empathy and understanding user behavior within a broader cultural context.

My Research Toolbox

With a background in social science research, I have developed a strong foundation in research methods, ethical responsibilities, and analytical skills that few get to experience. Effective design relies on solid research, and my extensive practice in this domain helps me maximize the impact of every project.

Below is a collection of UX research methods, including data collection and analysis techniques, that I have explored and applied.

Data Collection

Data Analysis

In-Depth Interviews
Usability Testing
Field Study
Affinity Mapping
Focus Groups
Heuristic Analysis
Diary Study
Thematic Analysis
Usability Benchmarking
A/B Testing
Concept Testing
Rainbow Sheet
Card Sorting
Surveys
Service Blueprint
Statistical Analysis

My Design Philosophy

Core tenets that I follow as a UX Designer that make my work unique:

Focus on Users' Culture and Values

Designing memorable experiences shapes user retention, emotions, and perceptions. Understanding user culture and values is essential, as Kolko (2011) emphasizes. I advocate for ethnographic research because user behavior often differs from self-reported actions. People operate in an "attentional blur," unaware of their own routines until observed in context. Studying users in their natural environments helps uncover authentic behaviors and create experiences that truly resonate.

Personas Can Betray

User populations are diverse and complex, yet personas attempt to simplify them into a few archetypes. While widely used, Goltz (2014) argues that personas can be misleading. I find them reductive and prone to generalization errors. Instead, I focus on statistical distributions such as age, gender, socioeconomic status, and minority representation to ensure inclusivity. Personas can lead to design biases by overemphasizing a narrow subset while overlooking the broader audience. Prioritizing real data over simplified narratives fosters more representative and equitable designs.

Multiple Solutions FTW

Exploring multiple solutions strengthens design outcomes, not just in prototyping as Dow et al. (2011) discuss, but across the entire process. Presenting multiple ideas fosters team autonomy, encourages diverse input, and reduces attachment to a single concept. This openness makes feedback easier to accept, leading to more refined, collaborative, and well-rounded solutions.