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Keana richards

Available to hire

I’m a quantitative UX researcher with 9+ years of applied analytics and PhD-level research experience, focused on turning complex data into clear product and business decisions.

About

I’m a quantitative UX researcher with 9+ years of applied analytics and PhD-level research experience, focused on turning complex data into clear product and business decisions. I define KPIs, run experimentation and funnel analysis, and build scalable SQL-based data pipelines that help teams measure what matters and improve outcomes.

In recent roles at Google, I’ve owned AI product and customer health analytics—standardizing instrumentation and metric definitions across product surfaces, partnering closely with PM and engineering, and leading recurring analytics workshops to align stakeholders. I also built production-grade, multi-source SQL pipelines and dashboards to track retention and customer health, and I led product-led growth analytics by driving reporting infrastructure and identifying funnel opportunities to inform roadmap decisions.

  • 3 years' experience
  • Joined September 2026

Industry experience

  • Software & Internet
  • Computers & Electronics
  • Education

Work experience

Quantitative UX Researcher · GoogleJan 2022 – Jan 2025 · 3 yrs 1 mo

Built KPI frameworks and instrumentation standards for Cloud Security AI features (20+). Partnered with PM and engineering to ensure consistent metric definitions across product surfaces, enabling reliable executive reporting. Led 5+ recurring analytics workshops to align stakeholders on AI metrics and reporting standards, reducing time-to-insight from ~30 days to ~10 days. Delivered performance insights to guide decisions to sunset or refine underperforming AI features. Developed scalable SQL-based production pipelines integrating 10+ data sources across UI, API, revenue, and service surfaces. Created dashboards tracking customer health across 15+ indicators to support renewal and retention decisions, including churn risk identification and outreach prioritization. Also supported product-led growth analytics and funnel analyses for Cloud Security, contributing to ~5% account growth by building reporting infrastructure across 10+ product surfaces and identifying conversion opportuniti

Quantitative UX Researcher Intern · GoogleJan 2021 – Jan 2021 · 1 mo

Performed advanced statistical analyses (cluster analysis, regression, and multimensional scaling) across 8 studies to model Google Search navigation. Influenced navigation design decisions across 10+ teams and validated a novel approach for measuring design impact.

Education

PhD, Psychology · University of Pennsylvania2022 – 2026
MA, Statistics · University of Pennsylvania2022 – 2026
PhD, Psychology; MA, Statistics · University of Pennsylvania2022 – 2026
BA (cum laude), Psychology · University of Maryland, College Park2017

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