Netflix: Rating & Review Feature

A native Community Ratings & Micro-Reviews system into Netflix’s established Smart TV ecosystem


ROLE: PRODUCT DESIGNER

TIMELINE: 2 WEEKS

OVERVIEW

Add a new feature to an existing product—specifically introducing a native Community Ratings & Micro-Reviews system into Netflix’s established Smart TV ecosystem without complicating its iconic, low-friction interface.


PROBLEM

Netflix subscribers experience decision fatigue and choice paralysis due to reliance on opaque match percentages.


SOLUTION

An in-app feature that allows subscribers to view ratings, read user comments, and leave their own reviews directly within the platform.

CONTEXT

Viewers frequently experience friction and decision fatigue when choosing what to watch, often exiting Netflix to consult external platforms like Rotten Tomatoes or Letterboxd for user reviews and ratings.

To eliminate this drop-off and streamline the discovery process, this project introduces an in-app community rating and review feature.

COMPETITOR ANALYSIS

Users satisfy their need for content validation, catalog navigation, and post-watch commentary across a variety of digital touchpoints.

  • Gen Z & Young Millennials (18–34)

    Solves the Identity & Community problem ("I want to share my movie taste and see what my friends think").

    Strengths
    • Massive cultural clout with Gen Z.
    • Highly aesthetic, joke-friendly UI.
    • Strong community trust & curation.
    Weaknesses
    • No direct streaming integration (must open external apps).
  • Broad Mainstream Global Audience (25–54)

    Solves the Information & Verification problem ("Who played that actor, and is this movie universally respected?").

    Strengths
    • Unmatched SEO and global brand recognition.
    • Comprehensive database for both TV and film.
    Weaknesses
    • Low social engagement (feels like reading Wikipedia).
  • General Decision-Makers (25–54)

    Solves the Speedy Quality Filtering problem ("Give me a quick percentage so I don't waste 2 hours").

    Strengths
    • Instant visual trust signal (Fresh vs. Rotten).
    Weaknesses
    • Minimal social/community interaction.

INTERVIEWS

To uncover root causes behind browsing friction and choice paralysis on Netflix, we conducted qualitative, semi-structured 1-on-1 discovery interviews with 5 active subscribers.

60%3 of 5 users
60%3 of 5 users
Users experience severe decision fatigue and don't fully trust internal recommendation
80%4 of 5 users
80%4 of 5 users
Any post-watch review feature must prioritize low-effort interactions
100%5 of 5 users
100%5 of 5 users
Viewers value direct, human-curated consensus over opaque algorithmic scores.

USER PERSONAS

RAY

"I just want to know if a show is worth my time without spending 30 minutes searching on my phone."

ABOUT

A busy young professional who uses streaming to unwind at the end of the day. They primarily watch content on a Smart TV in the living room and prefer popular, high-engagement shows.

PERSONALITY

IntrovertExtrovert
AnalyticalCreative
BusyTime rich
MessyOrganized
IndependentTeam player

GOALS

PAIN POINTS

Find high-quality content quickly without experiencing choice paralysis.

Get instant, trustworthy community feedback directly on the playback screen.

Avoid wasting time on low-rated or disappointing titles.

Leaving the Netflix app to check ratings on TikTok, Reddit, or Rotten Tomatoes.

Typing text with a TV remote control, which feels frustrating and slow.

Regretting a selection after sitting through a subpar movie or episode.

CAROL

"I follow directors and cast lists, and I love seeing how others analyze what I just watched."

ABOUT

An avid film and TV enthusiast who views media consumption as a hobby rather than passive background noise. They stream across multiple devices (Smart TV, laptop, mobile) and actively seek out auteur directors, indie productions, and trending cultural releases.

PERSONALITY

IntrovertExtrovert
AnalyticalCreative
BusyTime rich
MessyOrganized
IndependentTeam player

GOALS

PAIN POINTS

Explore connected metadata seamlessly post-watch.

Read and share micro-reviews within a community.

Track and log their viewing history across film and episodic TV.

Netflix’s match percentage algorithms feeling opaque or inaccurate.

Lack of a central hub on streaming platforms to discuss TV series or season finales.

Disconnected experiences between watching a movie and external apps.

SOLUTION

Netflix subscribers experience decision fatigue and choice paralysis due to reliance on opaque match percentages.

  • Zero-Friction Decision Making

    1-tap star ratings and crowd consensus badges embedded directly on title cards.

  • Seamless Post-Watch Community

    Post-credits micro-reviews give viewers instant connection and discussion space at peak emotional engagement.

  • Cross-Device Input

    Smart TV view allows instant 1-tap feedback while pushing optional mobile notifications for typing detailed reviews.

Solving this retains user attention inside the ecosystem, converts passive scroll time into active streaming hours, and captures authentic first-party subscriber sentiment.

WIREFRAMING: LOW FIDELITY

USER TESTING

To evaluate the core structure, flow, and feature clarity before moving to visual design, we conducted 1-on-1 usability testing sessions with 5 participants using interactive low-fidelity wireframes.

KEYPOINTS

80%

High Navigation Friction

4 out of 5 participants (80%) explicitly stated that hiding community reviews behind a secondary sub-page or dedicated rating screen adds unnecessary clicks.


80%

High Demand for "Quick Reviews"

4 out of 5 participants (80%) favored the Quick Review concept, confirming prior research that subscribers prefer micro-interactions (1-tap tags/stars) over typing text on a TV interface.

80%4 of 5 users
80%4 of 5 users
Quick Review Feature Approval
100%5 of 5 users
100%5 of 5 users
Cast & Star Ratings Approval
100%5 of 5 users
100%5 of 5 users
Genre tags Approval

FINAL DESIGN

The final prototype translates user research into a seamless, native Netflix extension. By focusing on low effort and high clarity, the feature solves choice paralysis while keeping users immersed in the Netflix app.

MOVIE TITLE SCREEN

Instant Community Consensus

Instead of relying solely on match algorithms, users see crowd-sourced badges and micro-reviews directly on the title card.

SELF REVIEW SCREEN
COMMUNITY REVIEWS SCREEN

Transparent & Trusted Feedback

By placing micro-reviews directly alongside overall consensus tags ("88% Binge-Worthy"), users get honest, human-curated feedback at a glance.

CAST & CREW SCREEN
ACTOR DETAILS SCREEN

Seamless Cast Filmographies

Tapping into cast and director profiles opens dedicated Netflix filmography rails, turning post-watch curiosity into immediate session extension.


Say hi.

Get in Touch