UX Researcher, Quantitative

2 months, 1 week ago
Full-time
Mid Level
Design and User Experience
Puck

Puck

Puck helps great teams find great teammates through employer branding, conversations, and authentic candidate engagement, using personalized automation to enhance the candidate experience and improve hiring metrics.

Internet Software & Services
1-10
Founded 2020

Description

  • Identify and model key bottlenecks across the patient journey, including commitment, preparation, task completion, results engagement, and return behavior.
  • Instrument and analyze drop-off points in high-stakes workflows to surface friction that affects follow-through.
  • Translate ambiguous experience problems into clear, testable hypotheses.
  • Conduct exploratory and descriptive analyses to establish baselines, distributions, and patterns across patient, product, and clinical data.
  • Answer foundational questions about user behavior and system performance using raw event and operational data.
  • Develop statistical analyses and models to understand predictors of completion, engagement, and downstream outcomes.
  • Design and analyze experiments to improve key workflows while balancing lift with long-term trust and clarity.
  • Plan and evaluate structured usability studies to assess task success and friction in critical experiences.
  • Create surveys and targeted discovery work to uncover drivers behind observed patterns.
  • Build and maintain dashboards and monthly UX metrics reporting to track experience touchpoints and emerging risks.
  • Identify instrumentation gaps and partner with Engineering and Operations to improve lifecycle tracking and data integrity.
  • Quantify the impact of experience and workflow changes and translate insights into product and operational improvements.

Requirements

  • 3–5 years of experience in quantitative UX research, product research, behavioral science, or a related analytical role in a digital product environment.
  • Strong foundation in statistics and experimentation, with hands-on experience modeling and improving activation, completion, retention, or engagement.
  • Fluency in SQL and proficiency in Python or R, with the ability to independently analyze raw lifecycle and event-level data.
  • Experience designing and interpreting experiments in live product environments.
  • Experience extracting actionable insight from survey and NPS data and integrating attitudinal signals with observed behavior.
  • Experience building dashboards or recurring reporting that informs product decisions.
  • Familiarity with AI-enabled research or analytics workflows, with sound judgment on when automation strengthens versus weakens rigor.
  • Clear communication skills for engaging technical stakeholders on methodology and translating findings into actionable product implications.

Benefits

  • Base salary of $110,000–$135,000 USD depending on experience and geographic location.
  • Free whole-body scans for each team member.
  • Flexible vacation policy with encouragement to take time away to restore.
  • Commuter Benefits Plan to help cover transit and parking costs.
  • 401(k) retirement savings plan for eligible employees, with pre-tax contributions.
  • Comprehensive health, dental, vision, and mental health coverage for employees and their families.
  • Growth opportunities and a flexible path to success.
  • Weekly team connection, sharing, and socialization opportunities.

Interested in this position?

Apply directly on the company website

Apply Now

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