Compare Netflix Watchlists With Friends

Summary: Netflix users struggle to find shows to watch together, causing frustration and wasted time. A comparison feature would allow users to easily compare watchlists, highlighting shared titles and preferences, streamlining the decision-making process.

Many Netflix users face a challenge when trying to find content to watch with others, whether it's friends, family, or housemates. While Netflix personalized recommendations work well for individuals, there's no straightforward way to compare watchlists and identify overlapping interests. This often leads to wasted time browsing and frustration. A feature that enables users to compare their saved or watched content with others could solve this problem by making group viewing decisions quicker and more enjoyable.

How the Idea Works

This suggestion involves adding a simple feature to Netflix that allows users to compare their "My List" or watch history with others. Initiating a comparison could be as easy as clicking a "Compare Lists" button on a friend's profile or within their own list. The feature would display:

Shared titles between two or more users
A match percentage indicating how similar their preferences are
Recommendations based on overlapping tastes

For example, two friends planning a movie night could instantly see which shows they’ve both saved or enjoyed in the past. Over time, the feature could expand to support group comparisons, making it useful for larger gatherings.

Benefits and Execution

This idea could improve user experience in multiple ways:

Users save time by skipping the back-and-forth of choosing content.
Netflix benefits from higher engagement and longer viewing sessions.
Content creators gain more visibility for titles that commonly appear in shared lists.

A simple first version could start with one-on-one comparisons, with options to expand later. Privacy would be addressed by making the feature opt-in, letting users control which parts of their watch history are visible.

Comparison with Existing Tools

While third-party platforms like Letterboxd or TasteDive offer ways to track and recommend movies, they aren't built into Netflix. This suggestion would use Netflix’s existing data to provide automatic, seamless comparisons without requiring users to manually log or share preferences elsewhere.

Implementing this feature could make Netflix more social while keeping the focus on easy, enjoyable viewing experiences.

Source of Idea:

This idea was taken from https://www.ideasgrab.com/ideas-2000-3000/ and further developed using an algorithm.

Skills Needed to Execute This Idea:

User Experience DesignSoftware DevelopmentData AnalysisRecommendation SystemsPrivacy ManagementUser Interface DesignAPI IntegrationProject ManagementTesting and Quality AssuranceSocial Network AnalysisAlgorithms DesignContent ManagementFeature PrototypingFeedback Analysis

Categories:Streaming ServicesUser ExperienceSocial NetworkingEntertainment TechnologySoftware DevelopmentContent Discovery

Hours To Execute (basic)

300 hours to execute minimal version ()

Hours to Execute (full)

500 hours to execute full idea ()

Estd No of Collaborators

1-10 Collaborators ()

Financial Potential

$100M–1B Potential ()

Impact Breadth

Affects 10M-100M people ()

Impact Depth

Moderate Impact ()

Impact Positivity

Probably Helpful ()

Impact Duration

Impacts Lasts 1-3 Years ()

Uniqueness

Moderately Unique ()

Implementability

Very Difficult to Implement ()

Plausibility

Reasonably Sound ()

Replicability

Moderately Difficult to Replicate ()

Market Timing

Good Timing ()

Project Type

Digital Product

Project idea submitted by u/idea-curator-bot.