Janice Ng
UX Research Portfolio

Janice Ng

Senior Quantitative UX Researcher
PhD in Psychology  ·  Bellevue, WA

PhD in Psychology Meta Amazon Qualtrics AI Native
About me

Researcher, scientist, and occasional over-thinker of why people do what they do.

I'm a Senior Quantitative UX Researcher with a PhD in Psychology and experience at Meta, Amazon, and Qualtrics. I specialize in connecting behavioral log data with survey research to answer questions that neither source can answer alone.

At Meta, I work on Monetization and Ads, where the sampling strategy matters as much as the analysis. Whether I'm using survival modeling to pinpoint exactly where users abandon a slow-loading page, or a concept test to find which CTA sets the right expectations before a major rollout, I try to build research that reshapes how teams frame the problem, not just report what happened.

Before Meta, I led brand-tracking programs at Qualtrics and drove consumer insights for Amazon's global ad campaigns. I care about research that doesn't just describe what users do, but explains why, and what to do about it.

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PhD in Psychology
University of Illinois Urbana-Champaign
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10+ Years in Research
5+ years in industry: Qualtrics · Amazon · Meta
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Quant-Leaning Mixed Methods
Behavioral logs, survey design, causal inference, concept testing
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Based in Bellevue, WA
Open to remote & hybrid opportunities

My journey into UX research

From studying how the mind works to shaping how products work.

Prior
UIUC
BS, MS & PhD in Psychology
University of Illinois Urbana-Champaign. 10+ years building expertise in quantitative methods: SEM, factor analysis, longitudinal modeling, and behavioral measurement.
Wellbe
Wellbe, Inc.
Jul–Sep 2021
Consumer Insights Intern. Used latent-profile analysis to identify bariatric consumer personas and isolate predictors of surgical intent.
2021
2021
Qualtrics
Qualtrics
Sep 2021–Jul 2022
Market Research Consultant, Brand Tracking. Led enterprise brand-tracking programs end-to-end, contributing $300K+ in new project revenue.
Amazon
Amazon
Aug 2022–Jan 2023
Consumer Insights Manager, Ads. Built a weighted attribution model from historical campaign data and led global multi-market brand and logo awareness studies.
2022
2023
Meta
Meta
Feb–Aug 2023
UX Researcher, Messenger. Psychometric factor analysis for a multi-country benchmarking study; analyzed feature-adoption funnel data for Instagram.
Meta
Meta
Oct 2024–Present
Senior UX Researcher, Monetization & Ads. Survival modeling, survey-log data integration, concept testing, and causal inference — connecting user behavior to product and revenue outcomes.
2024
Now
Methods & tools

The techniques I reach for most, and why they matter.

Quantitative (Core)
Causal Inference Survival Analysis Propensity Score Methods Doubly Robust Estimation Difference-in-Differences Regression & Multivariate Analysis Survey Design & Targeting k-Fold Cross-Validation Log-Data Joins & Behavioral Coding Concept Testing Brand Tracking
Quantitative (Supporting)
Factor Analysis SEM Cluster & Latent Profile Analysis A/B Testing Longitudinal Analysis IPW Chi-Square & McNemar's Tests Dose-Response Modeling
Qualitative & Tools
In-Depth Interviews Usability Testing SPSS Mplus R Python SQL
Projects I've led

Select recent projects.

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Quantitative Concept Testing
Within/between-subjects designs to evaluate copy, features, and design directions before launch.
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Brand Trackers
Longitudinal multi-market programs measuring brand health, awareness, and perception over time.
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Ad Campaign Evaluation
Effectiveness tracking and attribution modeling across global campaign flights.
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Research Repository Automation
Building systems to tag, surface, and reuse past research so teams stop reinventing the wheel.
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Logo & Brand Awareness Studies
Multi-market iconography and recognition studies informing campaign and branding decisions.
App Latency Threshold Analysis
Behavioral log analysis to derive platform-specific performance targets grounded in actual user tolerance.

Want to see the work?

Case studies, academic research, and my full resume — all here.