Concepts & Terminologies

Core Concepts

Key terms and definitions

Continue to next page

Overview

GermainUX connects monitoring, analytics, AI, and automation across users, business workflows, applications, and technologies. This reference explains the core concepts used throughout GermainUX and how they relate to one another. At a high level, GermainUX follows a continuous operational model:

ObserveAnalyzePrioritizeActValidate

The concepts below support different parts of this lifecycle. For example:

Concept	Description
Facts and Measures	describe what GermainUX collects and measures.
KPIs and SLAs	define what matters and when a condition requires attention.
Correlation	connects user, workflow, application, and technology evidence.
Analytics and AI	help identify patterns, impact, causes, and opportunities.
Session Replay	provides detailed evidence of what a user experienced.
Rules and Automation	turn conditions and insights into actions.
Alerts and Reports	communicate findings to the appropriate teams.
AA Units	measure analytics and automation consumption.

Use this page as a reference when configuring or interpreting GermainUX.

Core Concepts

AA Unit (Analytics & Automation Unit)

Represents the fundamental unit of consumption within GermainUX, tied to either:

Type	Details
The measurement of a metric (analytics)	• Consumes AA Units when GermainUX captures, evaluates, or stores metric observations. • Applies to events, availability checks, latency measurements, errors, and user-experience signals.
The execution of an action or transaction (automation)	• Consumes AA Units when GermainUX performs automated remediation, workflow execution, or synthetic/business transactions. • Scales with action volume, transaction frequency, and monitored automation scope.

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:

Mechanism	Details
RPA bots	• Execute repeatable UI-driven tasks across web, desktop, and enterprise applications. • Validate user flows, collect operational evidence, and remediate known failure patterns.
System actions (e.g., restarting services, updating data)	• Invoke predefined technical operations through scripts, APIs, connectors, or orchestration tools. • Support rapid containment for service degradation, failed jobs, stale data, and integration errors.
Business actions (e.g., notifying users, triggering workflows)	• Initiate workflow steps such as notifications, ticket creation, approvals, and stakeholder escalation. • Align remediation with business priority, SLA risk, user impact, and revenue exposure.

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:

Metric	Details
Completion rates	• Measures the percentage of initiated workflows that reach the defined successful outcome. • Segmented by application, user cohort, region, device, process step, or business channel.
Time to completion	• Tracks elapsed duration from process start to completion across user and system activities. • Highlights latency, queueing, approval, integration, and manual handling delays.
Friction points	• Identifies steps with excessive retries, errors, slow responses, rage clicks, or repeated navigation. • Prioritizes optimization opportunities based on frequency, severity, and business impact.
Drop-offs	• Detects where users or transactions abandon the workflow before reaching the target outcome. • Correlates abandonment with technical failures, UX issues, validation errors, or process complexity.

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:

From ↔ To	Details
Datasources ↔ KPIs	• Maps raw events, logs, metrics, and traces to normalized business or technical indicators. • Preserves lineage from source telemetry to calculated KPI values and thresholds.
KPIs ↔ Portlets	• Associates each visual component with the KPIs, filters, time windows, and aggregations it displays. • Enables contextual drilldown from summary visualization to underlying signals.
Portlets ↔ Dashboards	• Groups related portlets into role-specific analytical workspaces. • Supports business, operational, and technical views over the same correlated data model.
Events ↔ Business outcomes	• Links technical events and user behavior to conversion, revenue, SLA, or process outcomes. • Quantifies impact so incidents can be prioritized by business consequence.

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:

Audience	Example
Business (e.g., conversion, revenue)	• Executive dashboard tracking conversion rate, revenue-at-risk, abandonment, and campaign impact.
Operations (e.g., process efficiency)	• Operations dashboard showing workflow throughput, SLA status, queue delays, and exception volume.
Technology (e.g., performance, errors)	• Engineering dashboard monitoring latency, availability, error rate, API health, and infrastructure saturation.

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:

Source	Examples
Applications (e.g., CRM, eCommerce)	• Salesforce, ServiceNow, SAP, Oracle, Shopify, custom web applications, and internal portals.
Servers and infrastructure	• Linux/Windows hosts, Kubernetes clusters, cloud services, network devices, queues, and schedul

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:

KPI	Details
Conversion rate	Percentage of eligible users or transactions that complete the target business outcome.
Drop-off rate	Percentage of users or transactions that abandon a workflow before completion.
Page latency	Measured response and rendering time for pages, views, or key interactions.
Error rate	Frequency of application, API, browser, or transaction failures within a defined time window.

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:

Insight	Details
Where users succeed	• Surfaces the steps, entry points, and behaviors most commonly associated with successful completion. • Supports replication of effective patterns across journeys, segments, and channels.
Where friction occurs	• Detects steps with repeated clicks, slow responses, validation loops, errors,

They are the building blocks of dashboards and drive exploratory and guided analysis.

Focused Flow (User Journey Analysis)

A visualization that highlights the most impactful user paths leading to:

Outcome	Details
Conversion (success)	• Identifies the dominant na

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.

Prompt (AI Prompt)

AI prompts are either preconfigured or created on demand to:

Use	Details
Generate insights	• Transforms telemetry, KPI trends, and correlated evidence into concise analytical summaries. • Highlights anomalies, patterns, risks

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:

Output	Details
Prioritized issues	• Ranks detected problems by severity, user impact, business value, recurrence, and SLA exposure. • Groups related symptoms to reduce noise and accelerate triage.
Suggested actions	• Provides recommended remediation, investigation, escalation, or optimization steps based on observed evidence. • Can link to automation workflows, runbooks, tickets, or accountable teams.
Estimated impact (e.g., revenue loss or gain)	• Estimates potential revenue, conversion, productivity, or customer-experience impact using correlated business metrics. • Supports prioritization by quantifying expected benefit or risk reduction.

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:

Type	Details
Session replay	• Provides visual playback of user interactions, navigation, inputs, and observed behavior. • Links UX symptoms to the exac

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:

Capability	Details
Visualize user experience	• Replays clicks, navigation, scrolling, form interactions, browser context, and page behavior. • Shows the sequence of actions that preceded success, abandonment, or failure.
Identify friction points	• Detects rage clicks, dead clicks, repeated attempts, hesitation, errors, and confusing interaction patterns. • Correlates friction with latency, device type, browser, geography, and user segment.
Validate issues	• Confirms whether alerts, reports, or AI recommendations reflect real user impact. • Provides evidence for debugging, prioritization, stakeholder communication, and remediation.

GermainUX enhances session replay with automated insights extraction. More details on Real User Monitoring/Recording & Session Replay.

Alert

A real-time notification triggered when:

Trigger	Details
A KPI crosses a threshold	• Fires when a metric exceeds configured static, dynamic, or SLA-based limits. • Supports severity, scope, affected segment, and time-window conditions.
An anomaly is detected	• Triggers on statistically unusual patterns, deviations from baseline, or abnormal trend changes. • Reduces false positives by evaluating context, seasonality, recurrence, and correlated signals.
A business-critical issue occurs	• Notifies teams when failures affect revenue, conversion, compliance, SLA, or priority workflows. • Escalates based on business impact and configured ownership rules.

Alerts can include:

Content	Details
Context	• Includes affected KPI, datasource, application, workflow, user segment, time window, and severity. • Clarifies what changed, where it occurred, and who or what is impacted.
Evidence	• Attaches supporting logs, traces, session replays, events, screenshots, or correlated signals. • Provides verifiable data for triage and root-cause analysis.
Recommended actions	• Suggests next steps such as investigation, escalation, rollback, workflow execution, or automated remediation. • Can reference runbooks, rules, owners, or automation actions.

They enable proactive issue detection and response. More details on Alert.

Rule

A configurable logic layer that defines how GermainUX:

Function	Details
Detects issues	• Evaluates conditions, thresholds, patterns, and correlations across monitored data streams. • Identifies exceptions, degradations, anomalies, and business-process failures.
Generates insights	• Transforms rule matches into contextual findings with severity, scope, and supporting evidence. • Enables consistent classification of incidents, risks, and optimization opportunities.
Executes actions	• Triggers notifications, tickets, workflows, scripts, API calls, or remediation actions when criteria are met. • Applies governance through schedules, ownership, permissions, and escalation logic.

Rules can power:

Use Case	Details
Alerts	• Defines alert criteria, severity, suppression, routing, escalation, and notification logic. • Ensures alerts are generated only when meaningful conditions are satisfied.
Automations	• Determines when remediation, workflow, data update, or system action should run. • Controls execution using conditions, dependencies, schedules, and approval requirements.
AI-driven behaviors	• Guides prompt execution, recommendation generation, summarization, and agentic actions. • Applies guardrails so AI outputs remain contextual, auditable, and policy-aligned.

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:

Capability	Details
Detects breaches	• Compares observed performance, availability, and response metrics against configured SLA targets. • Identifies actual and projected violations by service, workflow, customer, or priority level.
Triggers alerts	• Notifies owners when SLA risk, degradation, or breach conditions are detected. • Routes alerts by severity, service ownership, business impact, and escalation policy.
Supports remediation	• Links breaches to evidence, root-cause signals, runbooks, and recommended actions. • Can initiate workflows or automation to restore service before impact expands.

More details on SLAs.

Report

A structured output (PDF, CSV, HTML) summarizing:

Section	Details
KPIs	• Summarizes measured performance, trends, targets, variances, and threshold status. • Provides period-over-period comparison for business, UX, operational, and technical metrics.
Insights	• Highlights notable patterns, anomalies, correlations, and root-cause findings. • Explains what changed, why it matters, and which entities are affected.
Recommendations	• Lists suggested actions, owners, priorities, and expected impact. • Connects recommendations to supporting evidence and remediation options.
Evidence	• Includes session replays, logs, traces, events, screenshots, and related artifacts. • Supports auditability, stakeholder review, and operational follow-up.

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:

Benefit	Details
Consistency	• Standardizes layout, terminology, branding, sections, and delivery format across outputs. • Reduces variation in how alerts, dashboards, and reports communicate operational information.
Customization	• Allows content, fields, filters, audience, thresholds, and formatting to be adapted by use case. • Supports role-specific views for executives, operations, engineering, and support teams.
Scalability across teams and use cases	• Enables reusable definitions that can be applied across applications, workflows, environments, and customers. • Simplifies rollout, maintenance, and governance of standardized GermainUX configurations.

More details on Template.

Workspace

The GermainUX user interface where users:

Activity	Details
Monitor performance	• Provides real-time visibility into KPIs, dashboards, alerts, service health, and business-process status. • Supports monitoring across applications, infrastructure, users, workflows, and data sources.
Explore insights	• Enables investigation of anomalies, recommendations, evidence, correlations, and root-cause findings. • Supports drilldown from summary views to sessions, logs, traces, journeys, and related entities.
Configure dashboards	• Allows users to assemble portlets, filters, layouts, KPIs, and audience-specific analytical views. • Supports operational, technical, business, and executive workspace configuration.
Trigger actions	• Provides controlled execution of notifications, workflows, automations, tickets, and remediation actions. • Connects analysis and diagnosis to operational response within the same interface.

It is designed to support:
👉 Analysis (What is happening?)
👉 Diagnosis (Why is it happening?)
👉 Action (What should we do?) More details on Workspace.

Review the types of real-time Insights you can get with GermainUX
Review GermainUX’s preconfigured integrations and capabilities across supported applications, frameworks, databases, operating systems, infrastructure, and enterprise technologies.
Check the other real-time automation (alerting, predicting, reporting, resolving, etc.) you can enable with GermainUX
And last but not least, check our Compliance and Security program.

Get Help

Contact GermainUX Support

The Germain Team can help you set this up.

Can't find what you need?

Search all GermainUX docs with Ctrl + K, or use the feedback buttons at the bottom of this page to tell us what is missing.

The content of this document is proprietary to GERMAIN SOFTWARE.

GermainUX Documentation

Core Concepts

Next

Overview

Core Concepts

AA Unit (Analytics & Automation Unit)

Automation

Business Process / Workflow

Correlation

Dashboard

Datasource

KPI (Key Performance Indicator)

Portlet

Focused Flow (User Journey Analysis)

Prompt (AI Prompt)

AI Recommendations

Evidence (Session, Logs, Traces)

Session Replay

Alert

Rule

SLA (Service-Level Agreement)

Report

Template

Workspace

Next

Get Help

Contact GermainUX Support

Can't find what you need?

Core Concepts

Next

​Overview

​Core Concepts

​AA Unit (Analytics & Automation Unit)

​Automation

​Business Process / Workflow

​Correlation

​Dashboard

​Datasource

​KPI (Key Performance Indicator)

​Portlet

​Focused Flow (User Journey Analysis)

​Prompt (AI Prompt)

​AI Recommendations

​Evidence (Session, Logs, Traces)

​Session Replay

​Alert

​Rule

​SLA (Service-Level Agreement)

​Report

​Template

​Workspace

​Next

​Get Help

Contact GermainUX Support

Can't find what you need?

Overview

Core Concepts

AA Unit (Analytics & Automation Unit)

Automation

Business Process / Workflow

Correlation

Dashboard

Datasource

KPI (Key Performance Indicator)

Portlet

Focused Flow (User Journey Analysis)

Prompt (AI Prompt)

AI Recommendations

Evidence (Session, Logs, Traces)

Session Replay

Alert

Rule

SLA (Service-Level Agreement)

Report

Template

Workspace

Next

Get Help