Concepts & Terminologies
GermainUX is a highly customizable platform that delivers real-time monitoring, alerting, insights, and automation. To fully leverage its capabilities, it is important to understand the core concepts and entities that structure the platform.
AA Unit (Analytics & Automation Unit)
Represents the fundamental unit of consumption within GermainUX, tied to either:
The measurement of a metric (analytics), or
The execution of an action or transaction (automation)
AA Units are categorized (e.g., events, availability, latency, transactions) and consumed based on usage, enabling flexible and scalable deployment. More details on AA Unit.
Automation
A framework that enables GermainUX to detect, prevent, or resolve issues automatically through:
RPA bots
System actions (e.g., restarting services, updating data)
Business actions (e.g., notifying users, triggering workflows)
Automation bridges insight → action, reducing manual intervention and accelerating resolution. More details on Automation.
Business Process / Workflow
A sequence of structured activities performed by users, systems, or both to achieve a business goal (e.g., checkout, onboarding, customer support).
GermainUX monitors:
Completion rates
Time to completion
Friction points
Drop-offs
This enables optimization of both user experience and operational efficiency. More details on Business Process monitoring and insights.
Correlation
The ability to connect and relate multiple entities within GermainUX, such as:
Datasources ↔ KPIs
KPIs ↔ Portlets
Portlets ↔ Dashboards
Events ↔ Business outcomes
Correlation is key to root-cause analysis (RCA), allowing users to understand why an issue occurs—not just what happened. More details on Correlation.
Dashboard
A configurable workspace composed of multiple portlets that provides a consolidated view of performance, insights, and alerts.
Dashboards can be tailored for:
Business (e.g., conversion, revenue)
Operations (e.g., process efficiency)
Technology (e.g., performance, errors)
They serve as the primary entry point for analysis and decision-making. More details on Dashboard.
Datasource
Any system or technology from which GermainUX collects data, including:
Applications (e.g., CRM, eCommerce)
Servers and infrastructure
Browsers (RUM)
APIs and databases
Datasources enable GermainUX to provide end-to-end visibility across business and technology layers. More details on Datasource.
KPI (Key Performance Indicator)
A measurable indicator used to evaluate performance across business, UX, process, or technical dimensions.
Examples:
Conversion rate
Drop-off rate
Page latency
Error rate
KPIs are the foundation for monitoring, alerting, and optimization. More details on KPIs.
Portlet
A visual component within a dashboard that displays one or more KPIs.
Portlets:
Provide focused insights
Support drilldowns and filtering
Enable interaction with data
They are the building blocks of dashboards and drive exploratory and guided analysis. More details on Portlet.
Focused Flow (User Journey Analysis)
A visualization that highlights the most impactful user paths leading to:
Conversion (success)
Drop-off (failure)
It helps identify:
Where users succeed
Where friction occurs
Which paths drive the most business impact
This is a key component of conversion optimization and journey analysis. More details on Focused Flow.
Prompt (AI Prompt)
AI prompts are either preconfigured or created on demand to:
Generate insights
Answer complex questions
Perform root-cause analysis
Trigger actions (agentic behavior)
Increasingly, prompts are agentic, enabling GermainUX to not only analyze but also act (e.g., notify users, fix issues, update systems). More details on AI Prompt.
AI Recommendations
Automatically generated guidance based on analyzed data, sessions, and patterns.
They provide:
Prioritized issues
Suggested actions
Estimated impact (e.g., revenue loss or gain)
AI Recommendations help teams move from data → decision → action faster. More details on AI-driven Insights & Recommendations
Evidence (Session, Logs, Traces)
Direct, verifiable data supporting an insight or issue, including:
Session replay
Error logs
Performance traces
User journeys
Evidence ensures that all insights are trustworthy, explainable, and actionable.
Session Replay
A real-time recording of user interactions (clicks, navigation, behavior), allowing teams to:
Visualize user experience
Identify friction points
Validate issues
GermainUX enhances session replay with automated insights extraction. More details on Real User Monitoring/Recording & Session Replay.
Alert
A real-time notification triggered when:
A KPI crosses a threshold
An anomaly is detected
A business-critical issue occurs
Alerts can include:
Context
Evidence
Recommended actions
They enable proactive issue detection and response. More details on Alert.
Rule
A configurable logic layer that defines how GermainUX:
Detects issues
Generates insights
Executes actions
Rules can power:
Alerts
Automations
AI-driven behaviors
More details on rules for analytics and for automation.
SLA (Service-Level Agreement)
Defines expected performance thresholds (e.g., uptime, latency, response time).
GermainUX monitors SLA compliance and:
Detects breaches
Triggers alerts
Supports remediation
More details on SLAs.
Report
A structured output (PDF, CSV, HTML) summarizing:
KPIs
Insights
Recommendations
Evidence
Reports can be scheduled or generated on demand to support stakeholder communication and decision-making. More details on Report.
Template
Defines how alerts, reports, or dashboards are formatted and presented.
Templates ensure:
Consistency
Customization
Scalability across teams and use cases
More details on Template.
Workspace
The GermainUX user interface where users:
Monitor performance
Explore insights
Configure dashboards
Trigger actions
It is designed to support:
👉 Analysis (What is happening?)
👉 Diagnosis (Why is it happening?)
👉 Action (What should we do?)
More details on Workspace.