TikTok RD Assistant
An efficiency-focused AI platform for TikTok’s development team, to streamline knowledge access and daily workflows.

UX Design Intern
AI Design, Visual Design, User Research
UX Designers,
Product Managers,
Software Engineers
2024/10-2025/1
3 months
Answer Page
A structured, source-backed answer flow with quick navigation.
Poblems
Developers faced slow early PRD analysis and poor knowledge reuse, causing incomplete requirements and repeated mistakes.

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
I mapped the ideal developer workflow to ensure AI added value only where it aligned with existing developer thinking and work patterns.

The insights - IA
To move beyond the breadth of general AI tools, I defined TikTok RD Assistant as a workflow-aligned, domain-specific Q&A system.
TikTok RD Assistant

-Composite answers for complex analyses.
-Comprehensive search for advanced validation.
-Delivers basic, straightforward Q&A.
Perplexity

-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.
Before

Overly text-heavy, leading to inefficient source communication.
After

Achieve a cleaner layout by displaying only the most essential sources.
Before

Requires users to scroll through the long paragraph of information.
After

Provides an anchor bar that highlights key sections for quick navigation.
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 communicate with people who think differently than you do. Always listen carefully to understand, and speak boldly to contribute your perspective.
↓ Photos with my amazing team — grateful for them all.

