TikTok RD Assistant
An efficiency-focused AI platform for TikTok’s development team, to streamline knowledge access and daily workflows.
UX Design Intern
UX Design
Visual Design, User Research
UX Designers,
Product Managers,
Software Engineers
2024/10-2025/1
3 months
The Mission
Developed an efficiency-focused LLM Q&A platform that accelerates early PRD refinement by reusing workflow-aligned knowledge for internal developers.
The Impact
Home Page
An inviting entry point for curiosity and idea discovery
Answer Page
A structured, source-backed answer flow with quick navigation.
User Research
To uncover key opportunities, I investigated developers’ workflows to identify pain points in early PRD analysis and knowledge reuse.
Developers
Age: 20–40 years old, predominantly male.
Traits: Young, tech-driven, working in a fast-paced environment.
Painpoint 01
Time-intensive early PRD analysis
Time-consuming and unfocused early PRD planning often results in incomplete requirements and weaker development results.
Painpoint 02
Limited knowledge and insights reuse
Historical issues are scattered across documents, making archiving difficult and limiting developers’ access to past solutions.
User Senario Map
Then I created an ideal workflow showing how AI supports developers’ tasks.
The insights - IA
Based on the competitive review, I defined the information hierarchy for our Specific and Professional Q&A platform
TikTok RD Assistant
Specific and Professional
-Composite answers for complex analyses.
-Comprehensive search for advanced validation.
-Delivers basic, straightforward Q&A.
Perplexity
Extensive and General
-For text-based, daily academic searches.
-A simple flow for casual and professional use.
-Adds broader, advanced features.
However, the composite answer has brought a problem
Challenge - Usability Testing
How to balance the depth of composite information with ease of navigation.
Searching sources
Before
Overly text-heavy, leading to inefficient source communication.
After
Achieve a cleaner layout by displaying only the most essential sources.
Anchor Bar
Before
Requires users to scroll through the long paragraph of information.
After
Provides an anchor bar that highlights key sections for quick navigation.
Chart Design
Before
Overuse of abbreviations may hide key information.
After
Offers flexible line abbreviation for a balance of clarity and simplicity.
developer teams adopted the framework across TikTok
internal AI product lines scaled on the LLM framework.
MAU increase in the second AI product integrated this framwork.
MagicSurvey — Built on the LLM Framework
Being a Proactive Learner
It's common to design for a product you've never used, or a field you're not familiar with. Always stay curious and proactive in learning to prepare for new knowledge.
It's common to design for a product you've never used, or a field you're not familiar with. Always stay curious and proactive in learning to prepare for new knowledge.
↓ Photos with my amazing team — grateful for them all.
