User Researcher

Peloton Peloton · Consumer · Headquarters, NY · Product Development

User Researcher to support innovation, iteration, and optimization of Peloton products by understanding user interactions and informing new features. This role will conduct various types of research (discovery, tactical, evaluative) on Peloton products, define research plans, and present findings to partners. The role is comfortable incorporating AI tools into research workflows.

What you'd actually do

  1. Collaborate directly with Researchers, Product Designers, Content Designers, Product Managers, Data Analysts, and Engineers to define and align on research objectives and methodologies
  2. Build and implement research plans, choosing efficient methodologies (qualitative and/or quantitative) to answer Product and UX research questions that produce new concrete insights
  3. Regularly conduct discovery (user interviews, diary studies, surveys), tactical (e.g. iterative usability studies), and evaluative research (e.g., usability studies, concept evaluations, benchmarking, heuristic evaluations) on Peloton products, to identify problems and ensure that the current experience is constantly improving
  4. Define, design, and implement moderated and un-moderated usability studies on flat designs, prototypes, beta, and finished digital experiences
  5. Compile and present findings to the relevant partners in a clear and concrete way they can use to design product improvements

Skills

Required

  • Master of basic usability testing
  • 2+ years of User Research and Testing experience
  • Analyze and synthesize research and testing data, and report it in a concise and concrete way
  • Develop processes to organize work across multiple people and teams
  • Strong analytical, and problem-solving skills
  • Versed in remote and in-person user research methodologies
  • Communicate and utilize storytelling effectively
  • Thrive on managing multiple priorities and executing projects
  • Work collaboratively in a team environment
  • Operate with attention to detail
  • Degree in Human/Computer Interaction, Human Factors Engineering, or Psychology, or equivalent experience

Nice to have

  • Open to learning new methodologies and tools
  • Comfortable incorporating AI tools into research workflows to support efficiency and productivity
  • Demonstrate initiative by acting as a self-starter; operate autonomously and also accepts support and guidance that is offered while proactively seeking it when needed