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Flashduty RUM Explorer is a powerful data analysis tool designed to help developers deeply inspect data collected from applications and obtain detailed information about RUM events. Through an intuitive visual interface, you can gain a comprehensive understanding of user behavior, application performance, and system health.

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Core Features

User Session Navigation

Browse and analyze complete user session paths to understand user behavior patterns within the application

Performance Issue Investigation

Deeply analyze performance issues affecting page views, resource loading, or user operations

Application Error Troubleshooting

Quickly locate and diagnose application errors and long-running tasks

Data Search & Filtering

Precisely filter and select RUM events through the search bar and visualization type selection

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Value and Benefits

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Use Cases

Analyze page load times and resource loading efficiency to identify performance bottlenecks.
Understand user operation paths and discover issues in interaction design.
Quickly locate the specific scenarios and context where application errors occur.
Analyze user behavior patterns to provide data support for product feature optimization.

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Main Features Explained

Use the application selector in the top navigation bar to select a specific application and view all its RUM data.Through the application selector, you can quickly switch between data views for different applications, focusing on performance and user behavior analysis for specific applications.

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Platform-Aware View Metrics

When you open the detail panel for a View, the metric cards on the Performance tab adapt to the View’s platform, so you always see the metrics that platform actually exposes.
The platform is determined by the View event’s own source field — no manual switching needed. For Mini Programs, onload_to_onshow and onshow_to_onready cover the two segments of the page lifecycle and help diagnose slow cold starts.
The EventTable column picker also supports the following Mini Program-only fields as queryable columns: view_first_render, view_onload_to_onshow, view_onshow_to_onready.

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Saved Views

The saved views feature allows you to save your current query state as a reusable view for quickly switching between different analysis scenarios. Each account can create up to 20 saved views, and views are only visible to you.

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What a View Saves

Each saved view contains the following information:

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View Operations

Click the view menu at the top of the Explorer, select “Save as New View”, enter a view name, and confirm. View names must be unique.

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Event Export

The event table in the Sessions Explorer provides a CSV Export button that exports the data under the current filter conditions and column configuration.
  • Export limit: A single export caps at 5000 rows. If the filtered data exceeds the limit, a toast notification appears after export completes, indicating that the first N rows were exported and more data remains.
  • Column matching: Exported columns match the current event type’s column settings — names, order, and units follow the on-screen configuration. When field metadata is not yet loaded, the export uses raw field names and bare values.
  • Cancel export: Clicking the button again during an export cancels it; any fetched data is not saved.
  • Scope: All view types in the Sessions Explorer event table support export.

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Next Steps

Data Query Guide

Master query syntax for precise data location

Distributed Tracing

Learn distributed tracing best practices