2025.2 Release Notes
GermainUX 2025.2 (Available as of .) expands AI-driven analysis to help teams quickly understand where conversion and adoption break—and what to fix. The release adds at-scale AI session summaries, new real-time dashboards and automated reports, smarter error detection and alerting, and deeper insights across Shopify, checkout, chat, and CRM/ERP workflows. All features are configurable to fit existing processes.
MONITORING AND ANALYTICS FEATURES
Adoption Report (Example)
Customers: Largest US-Based Healthcare Organization
The CRM Adoption report, available out of the box, and fully customizable, shows how well features are being used in your CRM or ERP, highlights adoption-blocking frictions, and tells you exactly when they occur and how to fix them. By default this report includes:
Adoption Overview
Work Time By Function
Work Time By Employee
Friction by Function (AI driven)
Technology Time by Function
Adoption Optimization Ideas (AI driven)
SFDC Adoption Weekly Report (Example):
(Similar reports are available for other CRM and ERP applications and they all are customizable.)
AI Fact Categorization - Now at Scale
Customers: US Based Largest Healthcare
Expanding on AI Fact Categorization (2025.1), GermainUX now automatically categorizes high-volume data, such as identifying millions of Application Errors—in real time.
Powered by customizable AI prompts, GermainUX’s AI handles the entire process end-to-end, instantly surfacing high-impact issues hidden in noisy datasets and extracting user sentiment to prioritize what truly matters. See use case below.
Categorization Prompt example:

Categorization Prompt - GermainUX
AI Event Analysis
Customers: Largest US-Based Healthcare Organization
This feature enhances root-cause analysis of any event that are detected by GermainUX (e.g. an error) by cross-analyzing GermainUX KPIs and automatically generating actionable recommendations. With GermainUX's AI Event Analysis and Categorization features, issues (e.g. poor adoption, conversion, productivity or ux) are detected faster, explained more clearly, and resolved before they impact the business.
Use Case: “Identify and analyze a new error while ignoring millions of others.”
(Detect New Error → Automatic Analysis → Create & Assign Ticket → Alert)
This customer uses GermainUX to:
Detect new errors across millions of events using GermainUX’s enhanced Categorization feature and new AI capabilities.

AI Error Analysis Prompt - GermainUX
Automatically identify root causes using GermainUX’s AI Error Analysis.

AI Analysis of an Error on http://Salesforce.com - GermainUX
Create ServiceNowticket using GermainUX’s automation framework.
Alert the appropriate teams using GermainUX’s automation framework.

AI Explore (at RCA dashboard level)
Customers: American Airlines, Largest US-Based Healthcare Organization, Medpro
Leveraging the new AI Event Analysis mechanism, AI Explore helps quickly diagnose issues by letting AI explain the cause, impact, and recommended actions—just like interacting with ChatGPT.
AI Explore is available on any RCA dashboard and for any KPI in GermainUX.

AI Explore - GermainUX
AI Explore Benefits for Salesforce CRM:
Here for instance, AI Explore turns Salesforce KPI anomalies into clear answers by explaining what’s wrong, why it’s happening across UI, backend, and process, and what action to take.

AI Recommendations to optimize a Slow Click on Salesforce.com - GermainUX
AI Explore Benefits for Shopify:
Here, a checkout issue that caused customer abandonment, automatically diagnosed:

AI Analysis and Recommendations on Shopify Checkout - GermainUX
Here, a customer removed a product from their cart before dropping off, and GermainUX AI performed the analysis:

AI Analysis and Recommendations on Shopify Cart - GermainUX
AI Session Summary (Enhanced)
Customers: American Airlines, Largest US-Based Healthcare Organization, Medpro
The AI Session Summary feature in GermainUX 2025.2 introduces deeper context and scalability.
It now incorporates on-page ambient text, allowing AI to understand what visitors truly engaged with (e.g., which products an eCommerce shopper actually spent time on). In addition, AI-generated summaries and recommendations are now available at scale through automated reports—enabling hundreds or thousands of sessions to be analyzed daily, weekly, or monthly, with top issues and prioritized recommendations clearly surfaced.
AI Summary for an Individual User Session (Example)

AI summary of a User Session - GermainUX
AI User Session Summaries & Recommendations at Scale
e.g., in this example, across 50 recorded sessions, daily — fully configurable
AI Categorization:

AI Categorization of User Sessions - GermainUX
AI Summary:

AI Summary of User Sessions (1) - GermainUX
AI Frictions & Recommendations:

AI Recommendations to Improve User Experience - GermainUX
“Compare To” on RCA Dashboard
Customers: American Airlines, ANZ Bank, A $1B+ Revenue Electronic Trading Platform
Automatic “Compare To” portlets are preconfigured on all RCA dashboards.
These portlets automatically show how a given transaction compares with others.
A transaction represents any individual instance of a KPI monitored by GermainUX.
Example: “Compare To” features on the User Click RCA dashboard.

“Compare To” portlets on RCA Dashboards - GermainUX
Forecasting (enhanced)
Customers: ANZ Bank
Ability to provide a forecast of any of the KPI configured in GermainUX e.g. Disk Space usage over the next 12 months.

How to use this Forecasting feature?

Scripted SLA mechanism
Customers: Largest US-Based Healthcare Organization
This customer requested a mechanism to trigger alerts when a new error occurs more than X times within a defined time window, rather than on the first occurrence only.
The new Scripted SLA capability enables scheduled SLA checks by running queries directly against the GermainUX datamart—using the same query logic supported by GermainUX’s reporting framework. These checks run automatically and evaluate error volume, frequency, and categorization over time.
What’s new in 2025.2:
Prior to 2025.2, alerts were triggered only on the first occurrence of a new error. Scripted SLAs now enable threshold-based, time-bound detection, significantly reducing alert noise while focusing teams on issues with real operational impact.

Example use case:
When an SLA violation is detected (e.g., a new error category exceeds the defined threshold), GermainUX can automatically trigger follow-up actions such as alerts or downstream workflows.

Report sent when a new error reaches meaningful volume - GermainUX
Shopify Monitoring (Enhancements)
Customers: World’s Most Recognizable Apparel Brands
As we rolled out GermainUX for one of the world’s most iconic apparel brands, we delivered a powerful set of capabilities — built directly into the GermainUX platform and complemented by client-specific, pre-configured intelligence. The result: measurable impact on conversion, customer satisfaction, and long-term customer loyalty. Below is a high-level snapshot of the outcomes.
AI Analysis & Recommendations for Shopify Events
GermainUX monitors every aspect of a Shopify eCommerce site and allows you to dive into frictions as they occur. Using the AI Explore feature, you can ask any question to further understand an issue that occurred for a specific customer or across multiple sessions.
Example of AI Analysis and Recommendations for Shopify Events e.g. Product added to a Cart - GermainUX

AI Analysis and Recommendations for Shopify Events - GermainUX
AI Sentiment Analysis for Shopify Chats
Understand why customer conversations with chatbots or agents convert—or fail to convert. GermainUX surfaces actionable insights into agent performance, missed opportunities, and the real drivers of conversion.
Bad Customer Conversation Detection, at scale - Example:
This portlet helps quantify and categorize poor customer conversations at scale. Teams can drill down into individual chats to review detailed insights and AI-powered recommendations—making it easy to understand what went wrong and how to prevent or resolve similar issues in the future.

Bad Chats Detection (& Alert) - GermainUX
Customer Conversation - Detailed Insights Example:
This dashboard provides detailed insights into customer conversations with chatbots and live agents, helping teams identify friction, missed opportunities, and conversion impact.

Bot, Client and Agent Interaction details - GermainUX
AI Prompt Example:

AI Shopify Chat Prompt - GermainUX
More details here: https://docs.germainux.com/main/shopify-monitoring
Cart Abandonment - Business Impact Analysis for Shopify
This is just one example of the many enhancements GermainUX delivers to help teams deeply analyze and optimize conversion on Shopify. In this dashboard, GermainUX surfaces the key causes of cart abandonment, quantifies their impact, and highlights what actions to take to reduce abandonment and recover lost revenue.

Cart Abandonment Analysis - GermainUX
Error seen by a Shopify visitor, AI-diagnosed by GermainUX:

AI diagnosis of a Shopify error encountered by a visitor - GermainUX.
Product Availability Field Added to the ShopEvent Model
This client wanted GermainUX to understand when a clients attempts to buy a product that isn't available for either reason such as:
Coming Soon
Out Of Stock
Limited availability
etc

a Client wanting to buy a “Coming Soon” Product - GermainUX
Real-Time Dashboards for Shopify
GermainUX offers a range of real-time dashboards available starting in 2025.2, deployable in minutes. Each dashboard is fully customizable, enabling teams to tailor real-time insights, metrics, and recommendations to their specific conversion optimization goals.
Business Metrics Dashboard:

Business Metrics Dashboard - GermainUX
Conversion Dashboard:

Conversion Dashboard - GermainUX
eCom Overview dashboard:

eCom Overview Dashboard - GermainUX
Engagement Dashboard:

Engagement - GermainUX
Reports for Shopify
GermainUX offers a range of automated reports available starting in 2025.2, which can be enabled in minutes. As always, each report is fully customizable—so teams can tailor insights, metrics, and recommendations to their specific conversion optimization goals.
CSAT & NPS Report (Weekly – Example):
A preconfigured CSAT report that reveals satisfaction-killing friction—paired with real-time feedback for closed-loop action.

Product CSAT, NPS Report - Germain UX
Conversion Report (Weekly – Example)
An automated report that highlights where conversion is breaking—and what teams should focus on next.

Weekly Conversion Report - GermainUX
Top Conversion Issues & Recommendations Report (Weekly – Example):
Automated report that tells each team exactly what to fix—by priority and impact.

Weekly Top Conversion Issues & Recommendations Report - GermainUX
Search Insights into Third-Party Shopify Plugins
This client wanted clearer insights into how well its third-party search drives product discovery.
New enhancements now track Search Usage, Search-to-PDP success, and automatically flag when a product view originates from a search — enabling more accurate conversion optimization.

Search Insights Example - GermainUX
MAINTENANCE FEATURES
Automatic Log Collection for failed / crashed services and engines
Customers: N/A
As infrastructure access becomes increasingly restricted, both our support team and our clients’ DevOps teams still need to diagnose and resolve issues quickly and reliably.
With GermainUX, whenever a service or engine encounters a failure, detailed logs are automatically surfaced in the GermainUX workspace — giving administrators immediate visibility to investigate, troubleshoot, and restore operations faster, without needing direct server access.
Remotely Read or write from/to Engine State Store
Customers: N/A
Secure, remote access to read and write an Engine’s state store from the GermainUX workspace, streamlining operations and accelerating issue resolution. More and more DevOps engineers no longer have direct access to product servers, yet still need the ability to maintain monitoring and operations on those systems—without requiring privileged access or logging directly into the servers.

Write a State Store Query - GermainUX

Execute a State Store Query - GermainUX
CLIENT TESTIMONIALS
See What Users Say about GermainUX on Shopify!
Customers: AllBirds, ProAirTools, CatherineMichiel
We thank our customers for posting such great reviews—it means the world to us!
More details: Customer reviews about GermainUX on Shopify.

GermainUX Customer Reviews on Shopify Marketplace
See What Users Say about GermainUX on Salesforce AppExchange!
Customers: Airline, Financial Institution, Insurance Broker, Largest Healthcare
We thank our customers for posting such great reviews—it means the world to us!
More details: Customer reviews about GermainUX on SFDC AppExchange Marketplace.

GermainUX Customer Reviews on SFDC AppExchange Marketplace
Hear from a CIO that has used GermainUX for 8 Years!
Customers: Financial Institution
Listen to what the CIO of a large financial institution says about their 8 years of using GermainUX:

CIO says GermainUX is “a critical piece of observability for his IT operations”
SECURITY AND VULNERABILITIES FIXES
Customers: All customers are required to apply the following patches to update Germain
In alignment with SOC 2 compliance, patches have been developed for vulnerabilities identified in GermainUX version 2024.3 and earlier. Please generate a support ticket or contact Germain support for assistance.
Vulnerability | Severity | Scope | Detected | Reviewed | Resolved | Affected versions | Fix implemented in | Link |
[CVE-2024-50379] | HIGH | catalina [10.1.26] -> [10.1.34] -> [10.1.35] | 12/22/2024 | 12/23/2024 | 2/17/2025 | 2024.1+ | 2024.1.65, 2024.2.97, 2024.3.4 | |
[CVE-2025-24970] | HIGH | netty-handler [4.1.100.Final] -> [4.1.118.Final] | 2/15/2025 | 2/17/2025 | 2/17/2025 | 2024.1+ | 2024.1.65, 2024.2.97, 2024.3.4 | |
[CVE-2024-23450] | HIGH | elasticsearch [7.17.16] -> [7.17.27] | 2/15/2025 | 2/17/2025 | 2/17/2025 | 2024.1+ | 2024.1.65, 2024.2.97, 2024.3.4 | |
[CVE-2025-22228] | HIGH | spring-security-crypto [6.2.7] -> [6.3.8] | 3/22/2025 | 3/24/2025 | 3/24/2025 | 2024.1, 2024.2, 2024.3 | 2024.1-67, 2024.2-115, 2024.3-64 | |
[CVE-2024-52316] | HIGH | tomcat [10.1.26] -> [10.1.39] | 3/22/2025 | 3/24/2025 | 3/24/2025 | 2024.1, 2024.2, 2024.3 | 2024.1-67, 2024.2-115, 2024.3-64 | |
[CVE-2024-22371] | HIGH | camel-support [4.0.3] -> [4.0.4] | 4/26/2025 | 4/28/2025 | 4/28/2025 | 2024.3+ | 2024.3-74 | http://web.nvd.nist.gov/view/vuln/detail?vulnId=CVE-2024-22371 |
[CVE-2025-31650] | CRITICAL | tomcat [10.1.39] -> [10.1.40] | 5/3/2025 | 5/5/2025 | 5/5/2025 | 2024.1, 2024.2, 2024.3 | 2024.1-69, 2024.2-122, 2024.3-74 | http://web.nvd.nist.gov/view/vuln/detail?vulnId=CVE-2025-31650 |
[CVE-2024-52979] | CRITICAL | elasticsearch [8.15.5] -> [8.16] | 5/3/2025 | 5/5/2025 | 5/5/2025 | 2025.1 | 2025.1-0 | |
[CVE-2025-48734] | HIGH | commons-beanutils [1.9.4] -> [1.11.0] | 5/30/2025 | 6/2/2025 | 6/2/2025 | 2024.3 | 2024.3.86 | |
[CVE-2025-27817] | HIGH | kafka [3.7.2] -> [3.9.1] | 6/14/2025 | 6/16/2025 | 6/16/2025 | 2024.2, 2024.3 | 2025.1-0 | |
[CVE-2025-41234] | HIGH | spring-web [6.1.15] -> [6.1.21] | 6/14/2025 | 6/16/2025 | 6/16/2025 | 2024.2, 2024.3 | 2025.1-0 | |
[CVE-2025-4949] | CRITICAL | jgit [6.7.0.202309050840-r] -> [ | 6/14/2025 | 6/20/2025 | 6/20/2025 | 2024.1, 2024.2, 2024.3 | 2024.1-73, 2024.2-142, 2024.3-86 | |
[CVE-2025-48988] | HIGH | tomcat [10.1.41] -> [10.1.42] | 6/21/2025 | 6/23/2025 | 6/23/2025 | 2024.1, 2024.2, 2024.3 | 2024.1-74, 2024.2-146, 2024.3-98 |