In a data-driven business environment, there was a need to enhance anomaly detection and diagnosis in key metric data. An automated system was developed to monitor channel traffic in real-time, identifying anomalies when traffic fluctuations exceeded defined thresholds. These anomalies were attributed to various factors such as operational strategy, upstream traffic, and more, helping to pinpoint abnormal metric causes.
The system improved anomaly identification efficiency, achieving an 80% coverage rate and 70% overall attribution accuracy. The average analysis time for individual anomalies reduced from 7 to 2 working days.
Product manager
Bytedance
06.2022 - 09.2022
Project Name: Enhancing Sales Lead Management
Aimed to improve the overall efficiency and timeliness of lead management and follow-ups by developing an online lead management module
Worked with the SE team to define the whole process of cloud product lead management, separating phases like [ 'lead generation', 'research', 'client visits', 'PoC', and 'launch' ]
Assisted in the development of a lead analysis dashboard, providing multifaceted analyses of lead quality and employee efficiency
Developed an online intelligent operation platform that allowed online configuration of activities, enhancing user targeting and improving operational conversion rates
Split the operation configuration into components of [ 'event', 'product', 'discount', and 'launch' ], providing data support for activity retrospection
Improved operational efficiency by 70% and reduced event setup time from 3 weeks to 1 week
Compared to historical averages, certain activities saw a 27% increase in effective reach and click-through rates