📄️ Application Overview
application list page
📄️ Page Analysis
Performance analysis of mini-program pages is crucial because it not only significantly enhances user experience through quick response times and smooth interactions, thereby increasing user satisfaction and retention rates, but also helps developers accurately identify performance bottlenecks for effective resource optimization and reduced operational costs. Furthermore, it provides valuable data to support product iterations, enabling teams to make informed decisions and enhance the mini-program's market competitiveness. Moreover, performance analysis aids in early detection and resolution of potential issues to prevent service crashes, support marketing activities during high traffic periods, and maintain brand reputation and user trust. It is a critical component for the sustained success of mini-programs and meeting user demands effectively.
📄️ setData
The analysis of setData indicators can collect and segment the performance of setData more conveniently.
📄️ Operation Analysis
Operation Analysis
📄️ Request Analysis
This module analyzes the performance of all network requests of the mini program, including the time consumption ratio, number of requests, slow request ratio, response time, server time consumption, request error rate, data volume transmitted, and callback time of each request.
📄️ Region Analysis
Index trend chart
📄️ JSError
JS error analysis is essential for improving user experience, optimizing performance, and quickly locating and diagnosing problems. It helps development teams to promptly fix user-impacting issues such as page crashes or slow loading by tracking error contexts and user behavior paths. In addition, JS error analysis supports data-based decision making, identifies performance bottlenecks and error patterns, ensures business continuity, and strengthens the security of web applications. Through long-term monitoring, teams can take preventive measures to address cross-platform compatibility challenges and improve the efficiency of error management with personalized and automated tools.
📄️ Path Analysis
Path analysis can analyze the correlation between the user traffic flow of the mini program and the page performance. Visually display where the mini program users come from, which page they go to, which page they leave, which page they stay on, and the performance of each page. The page color is based on the performance score, and is displayed in red (performance score ≤ 60 points), yellow (60<performance score ≤ 90), and green (90<performance score ≤ 100).
📄️ WeChat Interface
Background
📄️ User Tracking
Through user tracking, it is possible to view users' page interactions and individual action data via three filtering methods: IP, UserID, and SessionID. Additionally, detailed views of these interactions can be provided.
📄️ Application Settings
Click on the application settings corresponding to the app in the mini-program list to configure the basic settings, threshold settings, and rating settings for that application.
📄️ SourceMap
For front-end applications, the occurrence of JS errors directly affects the quality of front-end applications, so it is particularly important to locate and diagnose JS errors. Tingyun provides SourceMap upload to restore the real error location of the code and restore the JS error scene. This allows developers to quickly locate the source code location of the error and the corresponding code block.