Cnema
Conversational AI
UX Research
Usability Testing
The Solution
Research & Insights
Methodology: Conducted user interviews with four regular streaming users and performed a competitive analysis of leaders like Disney+, Netflix, and HBO Max.
Key Findings:
Personalization: Users want mood-based filters to find "hidden gems".
Social Connectivity: High interest in sharing scenes directly to Instagram Highlights and hosting Watch Parties.
Organization: Users struggle with overwhelming watchlists and desire folder-based or tagged organization.
Ideation & User Stories
User Stories:
Social Engagement: "As a user who loves sharing recommendations, I want to share favorite shows directly to Instagram so my friends can join the discussion".
Offline Flexibility: "As a commuter, I want to automatically download content in varied quality options to manage storage".
Innovative Ideas:
Offline Weekend Bunch: Weekly curated content updated for quick offline binge-watching.
Rating Integration: In-app movie ratings from IMDb and Rotten Tomatoes for faster decision-making.
Section 5: Final Design & Prototype
Key Learnings:
Human-Centered Design: How direct user feedback regarding "copy-pasted" or generic feelings influenced the iterative cycle of the prototype.
Future Scope: Potential to refine the "Post-Watch" review templates and further test offline playlist management.
