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"Why is
UX Research
AI Ethics? " 

-Dawn E. Proitz de Voir (Procopio), UX Researcher/AI-Ethicist 

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Verizon Research
 United Airlines Research
Microsoft Research
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Google Research
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AWS Research
Siemens Research
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Artificial Intelligence is the experience... 

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​Email Dawn@ai-ethicist.com if you'd like to work on a study to test the null hypothesis. 

HOW? 

It's in the process.

We benchmark the success of the study with various sources (KPIs/SMART Goals, and Subject Matter Expert (SME) via Stakeholder Interviews, Workshops, ​Past Research/Literature Reviews​) against the total Investment/Commitment to study resources. Our initial assessment can start with our Research Needs Analysis (RNA) survey, which can get us started on the current context of the experience. 

ROI Measurement

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(Stakeholder Elicitation & Environmental Analysis)

All studies are designed with NN/g best practices and academically accredited Social Science expertise.  Methods include, but are not limited to: Concept Testing, Competitive Analysis, Usability Testing, Multivariate/A/B Testing, Heuristic Evals, Interviews, Card-sorting, Tree Tests, Ethnography, Diary Studies... see more about the classic NN/g methods here > 

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Data Capture Strategy

(Observation & Documentation)

What the data values are and how they are structured is the core currency for UXRs. Successfully documenting observations, as reusable artifacts, is what makes research, re-searchable. Data set creation comes from Audio and Visual Recording, Manual & AI Note-taking, Interaction Analytics, Screening Data, Unmoderated Testing & Survey Platform Metadata and Observation Labs

Mixed Method Design

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(Research Planning &
Protocol Writing)

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Advanced Data Analysis 

(Qualitative and Quantitative Analysis)

With large sample sizes we use predictive analytics to identify patterns in user, predicting future behavior and attitudes. This helps UX researchers understand user needs and design more effective products. We focus on qualitative and quantitative lenses, based on the purpose and design of the study. For smaller studies we rely on social science best practices, such as thematic analysis and grounded theory approach.

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Data-Driven Storytelling

(Reporting & Presenting)

We combines qualitative and quantitative data to create compelling narratives that inform design decisions. The order is what matters- knowing when to use an explanatory or exploratory story depends on the key needs of your ROI strategy. Each report, comes with specific and principle based recommendations. By utilizing various mediums such as videos, graphs, and presentations we can show case user feedback, analyze usage patterns, and visualize data to highlight key trends. 

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UX Workshops

(Collaboration & Implementation)

Implementation for UX Research can be in the form of collaboration and ideation sessions, either 1:1 or ideally with a group of designers and engineers all at once. Sometimes these are called "Innovation Sessions."​Workshop purposes and types include: Discovery and Planning, Stakeholder Empathy Mapping, Rapid Design/Prototyping (GV Sprint), Feature Prioritization and Design Critique/Alignment 

Tell me more.. 

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