2025

Shipped

OTT

Smart TV

Tencent Video TV: Daily Film Picks

A curated daily recommendation feature to form habitual visits and reduce decision fatigue in Smart TV

Role

Product Designer

Skills

Concept Development
UIUX Design
Interactive Prototyping
Motion Design

Duration

June 2025 → July 2025
(6 weeks)

Team

2 Product Managers
2 Developers

01

Tencent Video TV, A Massive Platform

Tencent Video is one of China’s leading long-video streaming platforms, with over 350 million monthly active users and more than 110 million paid subscribers across devices.

Its Smart TV app, Tencent Video TV, reaches 119 million monthly active TV devices, covering nearly 41% of China’s active smart TV ecosystem in 2025.

Tencent Video TV’s long-form content library is composed primarily of serialized TV dramas and feature movies, complemented by variety shows, documentaries, and other long-form genres.

This establishes Tencent Video TV as a critical platform for long-video, lean-back viewing experiences.

Monthly Active TV Devices

119 Millions

Across China’s Smart TV Ecosystem

41% Market Share

02

High-Level Challenges for Tencent Video TV's Movie Channel

(1)
More Commitment,
Low Entry Frequency

Unlike episodic content, movies require a full-session commitment. Users visit the Movie channel less frequently, making daily activation difficult.

(2)
Choice Overload
in a Vast Movie Library

With thousands of movies available in Tencent Video TV, users face cognitive overload. The absence of a clear starting point increases hesitation and browsing fatigue.

(3)
Lack of
Habit Signals

Movies lack built-in continuity cues such as “new episode.” Without structured rhythm or editorial guidance, repeat visitation patterns remain weak.

These high-level challenges lay the ground for introducing the Daily Film Picks feature.

03

Daily Film Picks Ecosystem

Curator

Each day, a curator selects one film
and writes a short recommendation.

Audience

Instead of browsing thousands of titles,
audience see a clear, human-framed choice.

On Chinese content platforms, editorial curation remains a core engagement strategy.
Visible human recommendations increase trust and reduce hesitation.

04

Target Users

On Chinese content platforms, editorial curation remains a core engagement strategy.
Visible human recommendations increase trust and reduce hesitation.

Project Timeline

This project took 6 weeks from design to launch.

Goals

Beyond the basic goal to boost audience engagement, I saw this feature as an opportunity to reinforce Tencent Video’s premium positioning.

Problem

Concluding the goals, I framed the problem statement as follows:

How might we…

Design a daily film recommendation feature that builds consistent viewing habits, increase engagement, and highlights quality content?

Solution

To answer this question, I proposed three solutions. The first and second are directions for UIUX design, while the last one aimed at branding for this feature.

Flowchart

I crafted a flowchart, mapping users workflow from entering the Daily Film Picks feature through the Movie Channel to the video player interface.

Visual Identity

To reflect this feature’s focus on human curated film recommendations, I designed a visual identity inspired by print textures and the aesthetic of art magazines.

Inspiration

Long exposure photo freezes time into a visual form
— extracted horizontal lines as connectors

Art publication cover design, clean and tactile
— extracted solid color blocks paired with serif type

Logo

Colors

Entry Card Design

A/B Testing

In this project, I designed 3 interfaces in total. For each interfaces, I designed two versions for A/B testing.

High-Performance TV Entry

Tencent Video classifies TVs into high and low performance versions,
for which I designed two corresponding entry pages.

Selected Version

Improved information hierarchy

Feature logo iteration

Selected information display

Unselected Version

Weak date-recommendation relevance

Excessive information

Redundant, repeated logo display

Low-Performance TV Entry

Selected Version

Improved information hierarchy

Differentiated visual style from other components on this interface

Unselected Version

Over-emphasis on film titles

Visual style not distinct

Film Selection Subpage

Selected Version

Improved timeline design

Improved information hierarchy

Featured quotes from selected films

Unselected Version

Complicated date design

Weak information hierarchy

Final Design

To communicate with the developers, I created an interactive prototype with motion design.

Outcome

This project successfully launched in July 2025.
By August 2025, the Daily Film Picks feature achieved the following metrics:

1.92%

Click-through Rate

exceeding the target of 0.92%

3.35%

Unique Click-through Rate

exceeding the target of 2.35%

Where to Find Me