At Bowtie, Hong Kong’s first virtual insurer, I owned WhatsApp conversion project that doubled application submissions (+112%). Supported product research and UX testing (AI Search, cost-saving calculator) while collaborating across compliance, PMs, and engineers in a fast-paced fintech environment.
Role
Company
Duration
Deliverables

Whatsapp Application Follow-up Project
Highlighted Project 1
Project Overview
A strategic WhatsApp automation campaign that increased application submissions from 8.31% to 17.2% through personalized messaging workflows.
Goal
Increase application submission rates by engaging high-intent customers
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Target Audience
Users who initiated but not completed insurance application journey
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Approach
Personalized, multi-step messaging experience with regulatory compliance
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Result
Doubled conversion rates from 8.31% to 17.2% (More than doubled the performance
Key Pain Points
Some problems are identified after I hosted 10 one-hour external user interview to uncover users’ real thoughts and from CS feedbacks.
High Drop-off Rates After Quoting
Lack of Timely Follow-up
Information Gaps
Regulatory & Technical Constraints
How might we?
Design and Collaboration
Created messaging scripts balancing clarity, creativity, and compliance by collaborating closely with Compliance, Customer Service, Operations, and Engineering teams.
Developed 20 tailored automation workflows segmented by customer behaviors and opt-in preferences using Sleekflow (WhatsApp API) and Bowtie's Admin Portal.


Highlighted Project 2
Problem & Context

What I've contributed

Results
Provided actionable recommendations to improve AI Search Feature
Post-improvement, user satisfaction scores increased by 53%, reflecting measurable gains in usability.
Contributed to enhancing user experience and product reliability, strengthening overall customer satisfaction.
Received direct recognition from the Principal Product Manager

Mind Learning
The 4-month internship at Bowtie equipped myself with both Hard and Soft skills
I learned the power of continuous iteration by seeking feedback from stakeholders and users. My initial messaging drafts were improved multiple times, and each round made the solution more effective. This reinforced that testing early and often is crucial for meaningful UX outcomes. It also built my resilience in handling critique and ambiguity.
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Collaborating with Compliance, Engineering, Ops, and Customer Service taught me to consider multiple perspectives. Each team brought unique constraints and goals, requiring clear communication and empathy. This experience strengthened my ability to balance user needs with technical and regulatory requirements. Ultimately, it led to better, more feasible solutions.
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User Testing Skills (AI Search)
Leading user interviews for the AI Search project greatly improved my research skills. I handled participant recruitment, designed interview scripts, and moderated live sessions—even when unexpected issues arose. These experiences taught me to guide conversations smoothly, adapt quickly on the spot, and extract deep insights for actionable improvement




