7. 📈 The RUM Dashboard: Your Performance Command Center

Real User Monitoring Data Dashboard - Dashboard View

The RUM Dashboard is the central hub for visualizing and analyzing all the performance, stability, and user experience data collected by the JaJuMa Real User Monitoring (RUM) extension for Magento 2.
It transforms raw numbers into actionable insights, helping you pinpoint bottlenecks and make data-driven decisions.

You can access the dashboard from the Magento Admin panel at
JaJuMa -> Real User Monitoring -> RUM Dashboard

Real User Monitoring Data Dashboard - Detail PopUp

7.1 🔎 Main Menu and Global Filters

Real User Monitoring Data Dashboard - Main Menu & Global Options

Real User Monitoring Data Dashboard - Main Menu

At the top of the dashboard, you will find global filters that apply to all the reports on the page. These allow you to narrow your focus to specific segments of your audience:

  • Hamburger Icon:
    Toggle main menu expanded/minimized

  • Moon/Sun Icon:
    Toggle dark mode/light mode

  • Store/Storeview Filter:
    Analyze data for your entire site or drill down into a specific store view.

  • Device Filter:
    Switch between viewing data for All traffic, Mobile users, or Desktop users.

Real User Monitoring Data Dashboard - TTFB Attribution
  • Update/Refresh Icon:
    Displays data processing status and last update date/time and allows to manually trigger a data processing/update or cancel a running data update.

  • Reload Data Button:
    Click this button to reload the dashboard.

7.2 📄 Dashboard View

The main dashboard provides a high-level overview of your store's health over the last 28 days. It is composed of several key widgets:

Real User Monitoring Data Dashboard - Global Stats

  • Statistics:
    • Page Loads:
      The total number of page loads measured, with a chart showing the daily trend.
    • Desktop/Mobile:
      A percentage breakdown of traffic by device type, with a trend chart.
    • Errors:
      The total number of frontend JavaScript errors collected, with a trend chart.

Real User Monitoring Data Dashboard - Core Web Vitals KPI

  • Core Web Vitals (LCP, CLS, INP):
    Each Core Web Vital has its own card showing:
    • Current Value:
      The 75th percentile value, which is the metric Google focuses on.
    • Rating:
      A "Good," "Needs Improvement," or "Poor" rating based on Google's established thresholds.
    • Trend:
      An indicator showing if the metric has improved or worsened compared to the previous 7-day period.
    • OnClick Popup:
      Clicking on a card reveals a detailed breakdown by device and layout type (e.g., Homepage, Product Page, etc.).

Real User Monitoring Data Dashboard - Other Performance KPI

  • Other Performance KPIs (FCP, TTFB):
    These cards follow the same format as the Core Web Vitals, providing at-a-glance insights into First Contentful Paint and Time to First Byte.

Real User Monitoring Data Dashboard - Other Metrics

  • Other Metric Reports:
    • Navigation Types:
      A distribution chart showing how users navigate your site (e.g., standard navigation, reload, back/forward).
    • Cache Hits:
      The cache hit rate for the last 28 days, with a trend indicator.
    • Error Logs:
      The overall JS error rate and the number of new errors in the last 7 days.

Real User Monitoring Data Dashboard - Error Rate

7.3 📅 28-Days History View: Keeping An Eye On The Trend

The 28 days History View displays following KPIs and charts:

  • CWV (LCP + CLS + INP) + FCP and TTFB, each with:
    • Current 75th percentile value for latest 28 days collection period
    • Chart showing 75th percentile value for last 28 days
    • Distribution of page loads with Good/Needs Improvement/Poor KPIs

And Filters to change/drill-down reports as configured in data processing section by

  • Period
  • Page/Layout
  • Browser
  • Navigation Type
Real User Monitoring Data Dashboard - 28-days History Real User Monitoring Data Dashboard - Daily History

7.4 📅 History by Day View: Tracking Daily Changes

This view provides a more granular look at your performance metrics, charting the 75th percentile values for each day over the last 28 days. The History by Day View displays following KPIs and charts:

  • CWV (LCP + CLS + INP) + FCP and TTFB, each with:

    • Chart showing 75th percentile value calculated for one single day only for last 28 days
    • Distribution of page loads with Good/Needs Improvement/Poor KPIs
  • Cache Hit Rate

    • Cache Hit Rate for last 28 days
  • Navigation Types

    • Distribution between Navigation Types:
      Navigate, Reload, Back/Forward, Back/Forward Cache, Prerender, Navigate Cache and Restore per day

And Filters to change/drill-down reports as configured in data processing section by

  • Period
  • Page/Layout
  • Browser
  • Navigation Type

Why this matters:
This view is invaluable for correlating performance changes with specific events. For example, you can use it to see the immediate impact of a new code deployment, a server configuration change, or the start of a high-traffic marketing campaign.

7.5 🔗 Details Views: Deep Dive Analysis

This is the most powerful feature for diagnosing issues. It allows you to select a specific KPI (like LCP) and apply multiple filters to isolate the root cause of a problem. You can filter by:

  • Period
  • Page/Layout
  • Browser
  • Navigation Type

💡 Pro Tip:
If your overall LCP score is poor, use the Details View to check if the problem is specific to a certain browser (e.g., Safari), a particular page layout (e.g., the checkout), or a specific navigation type. This allows you to focus your optimization efforts with precision.

Real User Monitoring Data Dashboard - LCP Attribution Real User Monitoring Data Dashboard - INP Attribution
Real User Monitoring Data Dashboard - CLS Attribution Real User Monitoring Data Dashboard - TTFB Attribution

7.6 🕶️ Error Logs View: Proactive Bug Fixing

Real User Monitoring Data Dashboard - Error Logs

This view provides a complete report of all captured frontend JavaScript errors.
It includes statistics on error frequency and various filter and drill-down options.

Why this matters:
Instead of waiting for customers to report a problem, you can proactively identify and fix bugs. Clicking on an error reveals the full stack trace and other contextual information, dramatically reducing the time it takes for developers to diagnose and resolve the issue.

📞 Need Help?

Still have questions or need help with your configuration? Our expert team is here to assist. Please don't hesitate to contact our support team for personalized assistance.


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