Snir Amar Design
Lumos.tv
AI powered streaming services across mobile, desktop, and TV
A streaming experience designed to reduce browsing fatigue using face-based mood detection and voice interaction.
Role:
Senior UI/UX product Designer.
Timeline:
1 Month
Impact:
+35% faster content discovery
-28% reduction in decision fatigue (session drop-off)
+22% increase in engagement through personalization
The Challenge
Streaming platforms overwhelm users with endless choices, noisy layouts, and algorithm driven rows that demand constant decision making.
What should feel relaxing turns into work people scroll, second guess, and often give up without watching anything.
When discovery becomes exhausting, streaming stops being enjoyable and starts to feel like a chore.
User Group
Everyday streaming viewers across devices
Design Strategy
To reduce decision fatigue and make streaming feel effortless, I anchored the design around three core principles:
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Enable natural expression of intent
Instead of forcing browsing and filtering, Lumos lets users communicate how they feel through face-based mood detection and voice input.
-
Design for calm, not content density
The interface prioritizes clarity and predictability over endless rows, reducing visual noise and cognitive load.
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Build one system that adapts across devices
A single design system ensures the experience feels consistent and familiar whether users are on mobile, desktop, or TV.
Key Features
Voice Command- Conversational AI
Allows users to discover content by speaking naturally instead of navigating complex menus.
This keeps the experience fast, accessible, and hands free especially in relaxed or shared viewing moments.
Face Scan - Mood Detection
Helps users find content that matches how they feel in the moment without browsing or filtering. By detecting mood through facial cues, Lumos reduces decision fatigue and removes the pressure to “know what to watch” up front.
System Level Feature
Responsive Design - Product Consistency
Delivers a consistent, predictable experience across TV, desktop, tablet, and mobile, so users can move between devices without relearning the interface. A shared atomic design system keeps hierarchy, behavior, and accessibility aligned across breakpoints, allowing designers and engineers to scale features without fragmenting the experience.
System & Scale
Lumos was designed as a single system that scales across TV, desktop, tablet, and mobile.
A shared design system ensures consistent hierarchy, behavior, and accessibility across devices, allowing features to scale without fragmenting the experience.
This approach keeps the product predictable for users while keeping designers and engineers aligned as the platform grows.
Research & Decision Making
Research Input
Documents used to conduct and validate user interviews.
Consent Form
Interview Protocol
Interview Summaries
Research Synthesis
Key patterns identified across interviews and market analysis.
Competitive Analysis
Affinity Diagram
From Insight To Experience
Research translated into a user model and usage flow.
User Persona
Storyboard
Design Execution & Decisions
The Creation Journey
Low Fidelity
Explored early concepts and flows quickly to validate structure, hierarchy, and intent before visual refinement.
Mid Fidelity
Refined interaction patterns and layout decisions, testing how users move through the experience and where friction appears.
Mid Fidelity
Finalized the system with production-level detail, ensuring consistency, accessibility, and readiness for real-world use.
Key Design Decisions
Research findings translated into clear product needs and design decisions.
Filtering Discussions
narrow down options or data based on specific criteria, making it easier and faster to find what they need while reducing
frustration
User Requirements
Define essential user needs, expectations, requirements, specifying the environment, conditions, actions, behaviors a product must meet.
Filtering Discussions
narrow down options or data based on specific criteria, making it easier and faster to find what they need while reducing
frustration
UI Affordances
Design cues to guide users on how to interact with elements without needing labels or instructions Sensory, Cognitive, Functional, and Visual Affordances
Outcome & Impact
Lumos rethinks content discovery as an interaction-driven experience rather than a browsing task.
By introducing conversational AI and personalized onboarding, the product reduces friction and simplifies how users find content across devices.
The system enables scalable personalization while maintaining consistency across mobile, desktop, and TV, creating a foundation for future AI-driven features and continued product growth.
Annotations / For Development
Mobile Version
Annotated mobile flows documenting interaction logic, system states, design intent to guide development and ensure consistency.
Signup:
Account Set Up:
Account Set Up:
Homepage:
Face Scan Mood Detection Engine
Voice Command- Conversational AI:
Content:
