LGBTQ+ Inclusive Design

The Problem

  • The ubiquity of user accounts and data collection processes within today’s digital culture has resulted in concerns regarding the presence of inclusivity within user account interfaces, particularly for Queer populations.

Our Goal

This research seeks to find what inclusive strategies benefit Queer populations, when and where are Queer populations left out, and what we can do to rethink design processes to make them more inclusive.

While it is currently a work in progress as part of our Capstone, our proposed research is to develop a playbook to inform companies on inclusive design principles when developing User Account interfaces

Artifact from survey recruitment!

Research Methods

Literature Review

Surveys

Interviews

Why Literature Review?

  • Use existing research to establish foundational knowledge on instances and effects of Queer marginalization, inclusive design principles, and effective research methodologies

Why Surveys?

  • Using Qualtrics surveys allows us to identify and compare Queer users’ pain points, thoughts and patterns when they navigating various digital user interfaces in which they create digital accounts

Why Interviews?

  • Who did we interview?

    • Product Mangers

      • As a significant part of the decision making and implementation process within product teams, interviewing Product Managers would provided insight into the feasibility and process of implementing our playbook into product teams within industry

    • Queer End Users

      • How Queer users feel about sharing personal data and information when filling out information for data collection

      • What questions pose the most discomfort and why

      • What makes Queer users feel included and represented when being asked about gender, sexual identity in data collection processes

Analyzing Our Research Results

Survey Analysis

  • We received 171 survey responses from LGBTQ+ and Non-LGBTQ+ digital technology users

  • Mapped qualitative survey responses and used cross tabulation to compare responses LGBTQ and Non- LGBTQ Groups

Thematic Analysis

  • Using Taguette, we were able to assign codes to similar thoughts and themes that we found throughout our interview data

Preliminary Findings

  • During data sharing processes, Queer Users value:

    • Autonomy over data

    • Respect and positive intention for LGBTQ+ community (outside of pride month)

    • Transparency of motives for being asked for data

Playbook Drafting

  • Using Miro, we affinity mapped our research findings to assess what common themes were seen throughout our research that we would incorporate into our Playbook

Usability Testing

  • Playbook Design Iteration

Playbook Design Iteration

Playbook Design Iteration

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