Discovery and decision-making are not the same problem.
Netflix has spent decades perfecting content discovery — recommendations, search, and now conversational AI. Yet members still spend meaningful time deciding what to watch. This project explores a shift from content-centric personalization to context-centric personalization: understanding not just what someone watches, but why they're watching right now.
THE PROBLEM
It's not a lack of content. It's an abundance of it.
As catalogs grow, browsing has become an activity in itself. Many sessions begin the same way — with uncertainty.
Couples negotiating what to watch,
Parents searching for something after putting kids to bed
Families planning movie night
Individuals seeking something that fits a mood or a window of time
QUICK RESEARCH
I asked 12 people what frustrates them about Netflix.
A quick in-person gut check produced the same friction as the research, Here's what came up most.
1
"Never know what to watch"
2
"Hard to finish what we start"
3
"Wish it knew our routine"
4
"Too much content to choose from"
KEY INSIGHT
Viewing decisions are driven more by life context than content preference.
"We have one hour before bed."
"It's date night."
"I want something light."
REFRAMING PERSONALIZATION
Optimizing for moments, not just content.
Today
Content-centric Personalization
Inputs:
Profile, Viewing history, Genre Affinity, Similar users
Outputs:
Viewing history, Genre Affinity, Similar users
Future
Context-centric Personalization
Inputs:
Content signals, Household Signals, Routine, Time, Mood, Intent
Outputs:
Entertainment companion, Guidance, Planning
HOW IT WORKS
High-level view of the context mechanism.
Six core signal buckets feed into a real-time context mechanism, which turns raw data into guidance a member can act on.
THE VISION
A new layer of personalization
Viewing context becomes historical behavior with real-time intent signals — understanding why someone is watching, not just what.
EXPERIENCE PRINCIPLES
Five rules that guide the member experience.
01
Understand the moment
Recommendations adapt to circumstances not just preferences.
02
Reduce decision fatigue
The best recommendation is the one that gets someone watching sooner.
03
Minimize effort
Members should not need to endlessly browse or search repeatedly.
04
Learn over time
Develop an understanding of members routines and patterns over time.
05
Build trust
Be transparent by explaining why something is being recommended.
THE EXPERIENCE
From recommendation engine to entertainment companion.
ASK ANYTHING
Conversational Discovery
Instead of expecting members to navigate thousands of titles, the experience starts with a simple conversation. By understanding intent alongside contextual signals like time, household, availability, and routines, Netflix can recommend the right story for the moment—reducing decision fatigue and making entertainment feel effortlessly personal.
PROACTIVE NOTIFICATIONS
Recommendations That Arrive at the Right Time.
The best recommendation isn't just the right title—it's the right title delivered at the right moment. Context-aware notifications help members discover something they'll actually watch by anticipating viewing opportunities before they happen.
CONTEXT-CENTERED EXPERIENCE
Designed for the Moment
The homepage becomes the manifestation of the Context Engine, transforming real-world signals into meaningful recommendations. Instead of optimizing for engagement alone, the experience optimizes for relevance by surfacing content that best fits the member's current situation.
ENTERTAINEMENT COMPANION
From recommendation engine to entertainment companion.
GOALS
Defining what success looks like.
Customer outcomes
Reduce time to first play
Increased recommendations acceptance
Reduce session abandonement
Increase discovery satisfaction
Increase household engagement
Business outcomes
Increase hours watched
Improve catalog utilization
Increase long-tail content consumption
Strengthen member retention
Increase weekly active viewing sessions
Conclusion
The future of Netflix doesn't start when you turn on your TV. It begins when your entertainment companion understands it's date night.
Reimagining Netflix Through Context-Centric Personalization
Netflix knows what you watch. This project explores what it would take for it to understand why — and to act on that before you even open the app. This project is not affiliated with Netflix and is purely conceptual.
AI & Personalization
Cross-Platform
Concept Exploration