Analytics - GermainUX Docs

Availability2014.1 or later

Business outcomes

Adoption, conversion

User experience

Behavior and replay

Root cause

Errors, performance

AI analysis

Automated insights

Overview

GermainUX Analytics continuously analyzes user experience, business processes, application behavior, and technology performance to identify patterns, friction, issues, impact, root causes, and opportunities for improvement. Analytics help organizations understand:

What is happening
Who or what is affected
Why it is happening
What has the greatest impact
What should be improved first

GermainUX combines deterministic rules, statistical analysis, correlation, behavioral and process analysis, and AI to turn monitored data into actionable insights.

Insights and Delivery

Insights are available through real-time analytics dashboards and can also be proactively delivered through:

Email
Slack
Microsoft Teams
WhatsApp
SMS
Other supported notification channels

Analytical findings can also trigger GermainUX Automation, helping organizations move from insight to action. This enables teams to continuously identify and prioritize opportunities to improve conversion, adoption, productivity, user experience, business processes, and technology performance.

Business-Outcome Analysis

Capability	Purpose
Adoption Insights	Identifies the features, workflows, and behaviors driving or preventing application adoption.
Conversion Insights	Identifies the journeys, segments, and friction affecting conversion and revenue.
Business Process and Workflow Mining	Detects process delays, failures, repetition, abandonment, overruns, and lost productivity.
Journey Analysis	Analyzes how customers, employees, and operations progress across applications, channels, and milestones.
Drop-Off Analysis	Identifies where users abandon conversion, adoption, engagement, or workflow journeys.
Work Time Insights	Determines where users spend time and where waiting, repetition, or ineffective work reduces productivity.
Campaign Monitoring	Analyzes campaign, traffic-source, landing-page, engagement, and outcome performance.
Document Audit	Analyzes the creation, modification, status, and processing history of documents and records.

User-Experience and Behavior Analysis

Capability	Purpose
Behavior Analysis	Identifies navigation patterns, repeated actions, hesitation, frustration, and ineffective interactions.
User Session Monitoring and Replay	Analyzes individual user sessions and reconstructs the experience surrounding an issue.
Heatmaps	Aggregates clicks, error clicks, rage clicks, dead clicks, mouse movement, and scrolling.
Story Beat	Converts low-level activity into meaningful browsing, triggering, editing, waiting, and idle periods.
User Feedback	Analyzes ratings, comments, surveys, and the experience surrounding submitted feedback.
Conversation Analysis	Detects friction, repetition, misunderstanding, escalation, and unresolved outcomes in conversations.
Sentiment Analysis	Identifies sentiment and its relationship to users, conversations, feedback, and outcomes.
User Role Lookup	Enriches analysis with the user’s role, team, department, or other organizational context.
Web Page Insights	Analyzes web-page experience, performance, content engagement, and related user behavior.

Error, Performance and Root-Cause Analysis

Capability	Purpose
Error Analysis	Categorizes and ranks errors according to recurrence, affected users, business impact, and related evidence.
Transaction Insights	Analyzes transaction duration, contributing activities, dependencies, and performance bottlenecks.
Correlation and Tracing	Connects related user, process, application, integration, code, database, and infrastructure activity.
Code Profiling	Identifies the methods, functions, queries, and calls responsible for transaction execution time.
Outlier and Anomaly Detection	Detects measurements and behavior that differ unexpectedly from established patterns.
Impact at Scale	Quantifies affected users, sessions, transactions, processes, productivity, conversion, and revenue.
Averages vs. Percentiles	Provides analytical methods to identify issues that may be hidden by averages.

AI & Automated Analysis

GermainUX can continuously analyze collected data using AI and automated analytical rules, reducing the need for teams to manually search through dashboards, sessions, errors, and telemetry.

Capability	Purpose
AI-Driven Insights and Recommendations	Uses AI to summarize, categorize, explain, and recommend improvements from monitored data.
Automated and Preconfigured Insights	Automatically detects common customer-experience, user-experience, process, adoption, conversion, and technology issues.
Custom Automated Insights	Enables organizations to define automated analysis for their own applications, processes, and business priorities.
Rules: Advanced Automated Analytics	Applies configurable logic to detect, enrich, classify, correlate, and analyze monitored conditions.

Analytical Configuration

GermainUX Analytics is highly configurable so analysis can reflect each organization’s applications, users, processes, KPIs, and business objectives.

Capability	Purpose
KPIs, Pivots and Measures	Defines what GermainUX analyzes, which values it calculates, and how results are segmented.
Categorization	Groups raw data into meaningful user, business, process, error, and technology categories.
SLAs	Defines expected performance, availability, volume, duration, or business outcomes used during analysis.
Analytics Plugins	Provides reusable analytical configurations for supported applications, technologies, and use cases.

When standard capabilities do not fully address a requirement, the Germain Team can configure and customize the analytics for your specific use case at no additional cost.

How Analytics Work Together

GermainUX combines its analytical capabilities to continuously:

Step	Description
Detect	Identify friction, errors, anomalies, drop-offs, performance issues, or inefficient processes.
Analyze	Determine the users, sessions, transactions, workflows, applications, and technologies involved.
Measure Impact	Quantify the effect on users, conversion, adoption, productivity, processes, revenue, or technology performance.
Prioritize	Identify the issues and opportunities with the greatest impact.
Find the Cause	Correlate user behavior, Session Replay, errors, transactions, code, integrations, and infrastructure.
Recommend	Use analytics and AI to surface findings and opportunities for improvement.
Act	Trigger alerts, tickets, reports, workflows, or other authorized automated actions.
Validate	Continue monitoring to determine whether the issue was resolved or the targeted outcome improved.

Together with GermainUX Monitoring and Automation, Analytics supports a continuous operational model:

ObserveAnalyzePrioritizeActValidate

The specific analytical capabilities used depend on the data collected and the business, user-experience, workflow, or technology question being analyzed.

Get Help

Contact GermainUX Support

The GermainUX team helps you get up and running faster, empower your team, turn data into actionable insights, and optimize performance to deliver measurable business outcomes.

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The content of this document is proprietary to GERMAIN SOFTWARE.

Business outcomes

User experience

Root cause

AI analysis

​Overview

​Insights and Delivery

​Business-Outcome Analysis

​User-Experience and Behavior Analysis

​Error, Performance and Root-Cause Analysis

​AI & Automated Analysis

​Analytical Configuration

​How Analytics Work Together

​Get Help

Contact GermainUX Support

Can't find what you need?

Overview

Insights and Delivery

Business-Outcome Analysis

User-Experience and Behavior Analysis

Error, Performance and Root-Cause Analysis

AI & Automated Analysis

Analytical Configuration

How Analytics Work Together

Get Help