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Professional experience.
Product leadership across digital health, insurance, and healthcare platforms.
- Owned the product roadmap for a post-surgery pulmonary rehabilitation Digital Therapeutics (DTx) platform, productizing clinical follow-up workflows and medication adherence management.
- Led cross-functional collaboration with engineering, clinicians, and hospital operations; translated clinical needs into product specs, user stories, and sprint-ready requirements.
- Contributed to securing China’s first NMPA-approved oncology DTx; drove clinical deployment across multiple top-tier hospitals, serving 5,000+ patients annually.
TH-002 6.0 Major Release
Goal
Drive a strategic shift from “reactive management” to a “compliance-driven model,” improving patient engagement and product satisfaction while strengthening automated intervention.
Responsibilities
Built and validated six core hypotheses around patient learning curves, feedback perception, and family compliance; redesigned patient-side task and incentive logic, strengthened real-time feedback, and optimized clinician-side automated intervention paths.
Outcomes
- Significant increase in post-discharge compliance; manual follow-up satisfaction reached 80%+.
- Product capability shifted toward automation; frequency of manual intervention by clinicians and ops dropped, with first manual intervention delayed by an average of 3 days.
- Owned the direct-channel accident and property insurance product lines; transformed complex insurance bundles into an intuitive user decision framework, launched 8 new products in 6 months, and drove 86% YoY premium growth through portfolio upgrades, new sales model design, vertical category channel launches, and external traffic acquisition optimization.
- Redesigned core user journeys (registration/login, conversion funnel, claims experience) on the ZhongAn Insurance App to improve conversion efficiency.
App Onboarding & First-login Conversion Optimization
Goal
Improve activation and login conversion while strengthening user data capture for downstream conversion and lifecycle marketing.
Responsibilities
Identified low-login segments from app-store acquisition; redesigned onboarding to include a pre-login risk assessment module, reduced friction in login UX, and introduced onboarding offers to incentivize registration and first login.
Outcomes
The risk-assessment flow contributed ~4.5% of daily new first-logins; telesales follow-ups drove ~35k RMB/week incremental premium.
- Led product planning and iteration for C-end healthcare service platforms (WeChat Mini Program + Web), driving registered users past 1M through user growth strategies and product optimization.
- Built CRM, marketing, and membership systems from 0 to 1, enabling automated onboarding for 30+ business partners and reducing integration effort by two-thirds.
ChatSprout 2.0 — LLM-Powered Scenario-Based English Communication Coach
Goal
Identify the core pain point: non-native newcomers struggle not with grammar, but with context-specific expression in high-stakes scenarios (networking, disagreeing, giving feedback).
Approach
Conducted 10+ user interviews and designed a scenario-based training system using LLM + RAG — built a scenario taxonomy from user research, with a low-similarity fallback mechanism to handle edge cases and maintain user trust.
Results
Optimized the retrieval pipeline to achieve ~80% Top-3 scenario match accuracy; established an evaluation framework (expression accuracy, tone, latency, token cost) and controlled the response time in 1.5–2s.
Key insight
In open-ended language training, retrieval quality drives generation quality more than model scale.
- Scenario-Based Spoken English Course: defined the product format and pre-sales funnel through competitive research; scaled WeChat ecosystem acquisition via distribution and paid channels, improving pre-sales conversion by 5x through A/B testing.
- IELTS Liulishuo: led 0 to 1 commercialization, owned traffic acquisition, conversion operations, data analysis, and community SOP design across the App and WeChat ecosystem.