Netflix Shared Viewing

UX Research

I explored how households decide what to watch on shared Netflix accounts, uncovering pain points and opportunities to enhance the recommendation system.

 

By conducting user interviews and analyzing collaborative content selection dynamics, I provided actionable insights to refine Netflix’s algorithm and proposed user-centered features to improve recommendation accuracy and boost engagement for shared viewing experiences.

Phase 1
Planning & Preparation
  • Finalize research questions and objectives.
  • Develop the online survey and interview guide.
  • Prepare recruitment materials (ex. participant invites, social media posts).
  • Review and finalize the survey and interview process.
View Research Plan
Phase 2
Data Collection
  • Begin participant recruitment (via word-of-mouth, social media).
  • Distribute online survey to participants and collect responses.
  • Schedule and content semi-structured interviews (virtual/in-person).
  • Review preliminary interview data and adjust questions as needed.
View Data Results
Phase 3
Analysis & Reporting
  • Transcribe and analyze interview recordings.
  • Analyze survey data and identify key insights.
  • Synthesize findings, compare patterns across data sources.
  • Prepare research report and recommendations for Netflix.
View Final Results