What Did I Miss? The Hidden Costs of Deprioritizing Diversity in User Research
Summary
Characteristics like race, ethnicity, gender, and disability status can have a significant impact on how we experience the world, and how the world experiences us. In UX research, diversity is the first thing to vanish from the recruit when the going gets tough; I will talk about what we miss when that happens, and what researchers can do about it in their own practice. This presentation will demonstrate why a diverse recruit is imperative for a strong user research study, provide examples of what we miss when the recruit is homogeneous, and offering tactics for addressing the issue.
Key Insights
-
•
Researchers often undervalue race, ethnicity, gender, and sex in recruitment compared to other demographic criteria like age and location.
-
•
Homogeneous recruitment pools are usually predominantly white, cisgender, and economically middle class, limiting representativeness.
-
•
Ignoring demographic diversity risks reinforcing dominant cultural perspectives and missing key user needs and experiences.
-
•
Demographics such as race and gender significantly shape lived experiences and thus influence how users interact with products and services.
-
•
Specific and non-flexible demographic quotas improve success in recruiting diverse participants from third-party recruiters.
-
•
Recruiters often treat demographic criteria as optional, requiring pushback and clear communication to prioritize diversity.
-
•
Diverse research teams help identify recruitment barriers and blind spots that homogeneous teams may overlook.
-
•
Recruitment strategies must extend beyond familiar networks and include culturally appropriate outreach to marginalized communities.
-
•
Even when diversity isn’t the study focus, recruiting representative participants can surface critical differences in experience.
-
•
Overrepresenting marginalized groups in samples can compensate for historical overrepresentation of dominant groups and reveal nuanced insights.
Notable Quotes
"If we just decide to ignore demographics we're missing huge swaths of the participant experience and an opportunity to better serve our users."
"Demographic criteria is generally considered less important compared to project-specific or contextual criteria in recruitment."
"The viruses don't discriminate based on race, but our healthcare system does."
"We often center the point of view of dominant demographics and ignore the needs of those we never speak to."
"Recruiters have become conditioned to treat demographic criteria as flexible or optional, and I want to say they shouldn't be."
"If seeing a diverse participant pool is important to you, it's your responsibility to make sure your recruiters use it as a priority."
"We can't say with certainty what needs or pain points we missed when our recruits weren't demographically diverse."
"Age carries with it obvious visible differences and lived experience, while race often involves less visible but equally impactful structures."
"The best we do should be open to improvement and evolution to better serve clients' target audiences."
"When you have findings that serve smaller populations, it often tends to serve the broader population as well."
Or choose a question:
More Videos
"The estuary is highly resilient but also very sensitive to industrial waste—creative collaboration areas in organizations are similar."
John CutlerOxbows, Rivers, and Estuaries: How to navigate the currents of change (without burning out)
December 3, 2024
"The research team is embedded within product squads, working closely with designers, engineers, and data analysts."
Saskia LiebenbergStart Small for Big Impact
May 15, 2019
"Education is the foundation upon which we build a more sustainable future."
Ash BrownSilver Linings: What DesignOps Learned in the Shift to WFH
October 23, 2020
"Prioritization is one of those fractal topics that can go from the micro to the macro level."
Harry Max Jim MeyerPrioritization for Leaders (2nd of 3 seminars)
June 27, 2024
"Machines cannot be accountable; responsibility is always human."
Patrizia BertiniDesigning Within the Lines: How the EU AI Act Can Spark Better AI Innovation
December 11, 2025
"Machines can identify correlation via association, but it’s extremely difficult for them to reason and identify causality."
Liwei DaiThe Heart and Brain of the AI Research
March 31, 2020
"If you don’t have a little earthquake every now and then, you have a real big one after a while."
Christian Crumlish Wendy Johansson Rich Mironov Aditi Ruiz Adam ThomasAfternoon Insights Panel
December 6, 2022
"We think of AI not just as a maker of stuff but as an enabler of experiences."
Josh Clark Veronika KindredSentient Design: New Postures for AI-Mediated Experiences (2nd of 3 seminars)
January 29, 2025
"Having a recruitment team that does pre-session phone screenings was a luxury that helped a lot."
Sarah RinkRemote User Research: Dos and Don'ts from the Virtual Field
June 11, 2020
