Janice Ng
Senior Quantitative UX Researcher
jng.920414@gmail.com (217) 721-1464 Bellevue, WA linkedin.com/in/janice-ng-phd

Quantitative UX researcher with a PhD in Psychology and experience at Meta, Amazon, Qualtrics, and academic research. Specializes in behavioral modeling, causal inference, and survey + log-data integration to diagnose user friction, evaluate product changes, and influence product, engineering, and monetization strategy for large-scale platforms.

Select Experience
Senior UX Researcher, Monetization / Ads
Oct 2024 – Present
MetaMeta
Remote
  • Generated ad revenue by re-defining Facebook (FB) and Instagram (IG) in-app browser load-time targets
    • Used survival modeling and k-fold cross-validation to identify where user drop-off risk increased along landing page latency, and pinpointed First Contentful Paint (FCP) as the engagement-relevant metric.
    • Replaced inherited web-standard benchmarks with a behaviorally grounded load-speed target specific to FB+IG users, directly informing a design change that generated ad score gains in subsequent A/B testing.
  • Reclaimed leaked conversions by diagnosing why users complete purchases offsite after ad-click onsite
    • Focused specifically on users who clicked an in-app ad then completed their purchase on an external browser within 7 days: proven buyers whose intent was never in question, making it possible to isolate platform friction from low purchase intent rather than conflating the two.
    • Triangulated survey and behavioral data to identify friction across checkout flow, seller credibility, and reliability.
    • Findings moved 2025-2026 browser priorities toward seller trust signals and transactional security onsite.
  • Validated Video Ad Chaining (VAC) rollout for millions of FB Reels users, clearing the path for continued expansion
    • Built an AI-enabled causal evaluation pipeline spanning propensity score matching, doubly robust estimation, and Difference-in-Differences, delivering decision-ready evidence rather than descriptive sentiment reporting.
    • Demonstrated VAC had no negative impact on user sentiment or engagement, enabling continued rollout.
  • Identified the Call-to-action (CTA) string now shown to millions of US+CA FB users on Reels: proven performance in production, more scalable than the prior incumbent, and directly seeded an upcoming LLM string generation framework
    • Tested 10 CTA variants in a within x between mixed design across 2 surfaces, measuring noticeability (unprimed), engagement intent, post-click expectations, and creator acceptability.
    • The winning string was later confirmed as the highest-CTR candidate in A/B testing and generalizes across product verticals, unblocking scaling that the prior incumbent's narrow framing prevented.
    • The finding that commerce-led strings outperform discovery-led ones on every dimension directly informed development of an LLM-based bespoke string generation framework in H2.
  • Scaled Monetization UXR AI adoption from 48.5% to 93.3%, built a Claude Code-powered research repository for on-demand stakeholder insight retrieval, and authored vendor research quality guidance adopted Meta-wide
    • As AI Ambassador, drove Monetization UXR AI adoption from 48.5% to 93.3% through structured programming and hands-on sessions.
    • Built a research repository that auto-ingests findings from team Workplace posts, generates monthly leadership digests, and surfaces a searchable interface where stakeholders can query past insights and receive confidence-rated responses with UXR referrals for net-new needs.
    • Negotiated $8.5K in vendor credit following a data quality incident and co-authored Meta-wide vendor quality guidance and a quantitative best-practices checklist now used across Meta.
UX Researcher, Messenger (Contract)
Feb 2023 – Aug 2023
MetaMeta
Remote
  • Established psychometric foundation for multi-country messaging app benchmarking
    • Supported a multi-country benchmarking survey of messaging apps and developed the factor analysis plan used to assess psychometric properties of survey items across countries.
  • Translated Instagram feature log data into a stakeholder-ready adoption funnel
    • Quantified awareness, usage conversion, and future intent for a new IG feature using log data, producing visualizations and implications that informed feature strategy.
  • Produced evidence-based design recommendations for improving perceived app speed
    • Synthesized academic and internal research on UI patterns that create a faster perceived experience without changing objective latency, delivering design recommendations grounded in evidence.
Consumer Insights Manager, Ads
Aug 2022 – Jan 2023
AmazonAmazon
Seattle, WA
  • Enabled abbreviated logo rollout across local advertising markets
    • Led a multi-market logo recognition study that directly supported rollout of an abbreviated Amazon logo in local advertising campaigns, accelerating brand localization across markets.
  • Informed local campaign strategy across Mexico, Brazil and Australia through ongoing ad effectiveness measurement
    • Managed multi-country ad effectiveness programs, delivering country-specific insights that informed campaign strategy and improvements in consumer perception and brand sentiment.
  • Identified highest- and lowest-performing ad campaigns, enabling smarter budget allocation and follow-up research on commonalities of high-performing campaigns
    • Built a weighted attribution model from historical campaign data to pinpoint which marketing teams' ads performed most and least effectively across overlapping campaign flights.
Market Research Consultant, Brand Tracking
Sep 2021 – Jul 2022
QualtricsQualtrics
Seattle, WA
  • Contributed $300K+ in new revenue and $16K in renewals through end-to-end brand tracking programs
    • Executed large-scale brand tracking programs from design through sustainment. Ongoing methodological consultation improved client satisfaction and generated renewal revenue.
  • Raised team research capability through advanced statistics training
    • Led internal training sessions on advanced statistical concepts to strengthen methodological capability across the practice.
Education
Doctor of Philosophy
Psychology
University of Illinois Urbana-Champaign
2015 – 2021 · Champaign, IL · 4.0 GPA
J. McVicker Hunt Award for Excellence in Graduate Research
Master of Science
Psychology
University of Illinois Urbana-Champaign
2015 – 2018 · Champaign, IL · 4.0 GPA
NSF Graduate Fellowship Honorable Mention
Bachelor of Science
Psychology
University of Illinois Urbana-Champaign
2011 – 2015 · Champaign, IL · 4.0 GPA
Outstanding Undergraduate Student Award
Skills
Statistical Methods
Survival Analysis Causal Inference PSM Doubly Robust Estimation Difference-in-Differences k-Fold CV SEM Factor Analysis Latent Profile Analysis Regression Cluster Analysis Longitudinal Analysis A/B Testing
Research Design
Quantitative Concept Testing Survey Design Log-Survey Data Joins Behavioral Targeting Brand Tracking Competitive Benchmarking Longitudinal Studies In-depth Interviews Usability Testing
Tools
SPSS Amos Mplus SQL Python