> ## Documentation Index > Fetch the complete documentation index at: https://docs.germainux.com/llms.txt > Use this file to discover all available pages before exploring further. # Error Analysis > GermainUX continuously detects and analyzes errors across user experiences, business workflows, applications, integrations and supporting technologies. Service `Analytics` Availability 2025.2 or later > **[Business Outcomes](#business-outcomes)** > > Prioritize errors by impact > **[User and Business-Impact Analysis](#user-and-business-impact-analysis)** > > Measure impact on transactions > **[Prioritization](#prioritization)** > > Priority model factors > **[Security and Privacy](#security-and-privacy)** > > Mask sensitive error data ## Overview GermainUX continuously detects and analyzes errors across user experiences, business workflows, applications, integrations and supporting technologies. Instead of treating every logged error as equally important, GermainUX helps teams determine **which failures affect users or business operations, how often they occur, who is affected and what should be resolved first**. By combining error categorization, user-impact analysis, journey analytics, Session Replay, transaction tracing and AI-assisted investigation, GermainUX helps organizations reduce technical noise and focus on the errors that damage adoption, productivity, conversion, customer satisfaction and operational reliability. ## Business Outcomes GermainUX helps organizations: * Prioritize errors according to user and business impact—not log volume alone. * Separate new issues from known recurring errors. * Distinguish user-facing failures from hidden background errors and expected validation events. * Quantify the users, sessions, transactions and workflows affected. * Replay what users experienced before and after a failure. * Identify the application, code, query, integration or infrastructure condition responsible. * Understand where errors disrupt customer journeys and business processes. * Validate that remediation eliminated the error and restored the intended experience. ## The Error-Investigation Workflow GermainUX supports a complete workflow from detection to resolution: Detect Categorize Quantify Replay Diagnose Prioritize Resolve Validate For each error, teams can investigate: * What failed? * Is the error new or already known? * Was it visible to the user? * Was the event an actual software failure or expected user validation? * How often does it occur? * Which users, sessions and transactions are affected? > **Show all 10** > > * Which journeys or business processes are disrupted? > * What happened immediately before and after the error? > * Which code, dependency or technology component caused it? > * What is the recommended next action? ## Errors GermainUX Can Analyze GermainUX can analyze errors and failure conditions across multiple business and technology contexts. | Category | Examples | | - | - | | Conversion and revenue | Failed add-to-cart, checkout, payment, registration or purchase actions | | Funnel and journey | Failures blocking progression or contributing to abandonment | | Product discovery | Search failures, no-result conditions, unavailable products or broken product links | | User experience | Broken controls, unresponsive elements, popups, navigation failures and visible messages | | User-perceived performance | Timeouts, freezes, slow operations and interactions that fail to complete | | Content and data | Missing, inaccurate, outdated or inconsistent information | | Integrations and third parties | Failed APIs, payment services, identity providers, chat services and connected systems | | Customer experience | Failures affecting service, support, communication or fulfillment | | Trust and compliance | Security, privacy, consent or policy-related failure conditions when configured | | Operations and processes | Failed workflow steps, automation breakdowns and unavailable operational services | | Adoption and productivity | Errors blocking CRM, ERP or internal-application tasks | | Critical or blocking | Failures preventing access, completion or continued application use | Not every business problem in these categories is a software error. GermainUX can correlate errors with behavioral, process and data conditions so teams can identify the actual source of the failed outcome. ## Software Errors Versus User Validation An event visible to a user is not always evidence that the software is broken. | Classification | Definition | Example | | - | - | - | | User-facing software error | The application is not operating as intended, and the failure is visible to the user | A payment fails because the service is unavailable | | Background software error | A technology, application or integration fails without directly displaying the failure to the user | An API error occurs during background synchronization | | User validation event | The application is operating as intended and provides feedback to prevent invalid input or a later workflow error | A required field is missing or a date format is invalid | User validation events may still reveal design, training or process friction, but they should not be counted under the same technical KPI as broken software workflows. ## User-Facing Versus Background Errors GermainUX can distinguish errors users directly experienced from failures captured only in technical telemetry. ### User-Facing Errors These may appear as: * Error messages or warnings * Failed or broken functionality * Popups and dialogs * Incomplete transactions * Unresponsive controls * Visible page or application failures Because these errors directly affect the user experience, they often warrant immediate investigation—especially when they block an important journey or workflow. ### Background Errors Background errors occur within applications, integrations or infrastructure without being directly displayed to users. They may still: * Delay processing * Corrupt or prevent data synchronization * Cause a later user-facing failure * Reduce application performance * Break an operational workflow * Affect downstream systems or business outcomes Background errors should therefore be prioritized by their observed or potential impact, not automatically ignored because users did not see them. ![Error Analysis: Background Errors](https://mintcdn.com/germain-ux/8KX3c-GSSWR99tdN/images/main/errors-analysis-ai-powered/image-20260513-174757.png?fit=max\&auto=format\&n=8KX3c-GSSWR99tdN\&q=85\&s=2ea17c9f474192a69f74d42726cb67af) ## New Versus Known Errors High-volume environments can generate millions of error events. GermainUX Categorization helps group related errors and distinguish new patterns from known ones. ### New Errors New errors may indicate: * A recent code or configuration regression * A new dependency failure * An emerging production condition * A previously unseen user or workflow scenario * A change in data, infrastructure or integration behavior Views can be constrained to new categories—for example, using `newCategory == true`—so teams can focus on emerging failures. ![Error Analysis: New Errors](https://mintcdn.com/germain-ux/8KX3c-GSSWR99tdN/images/main/errors-analysis-ai-powered/image-20260513-181444.png?fit=max\&auto=format\&n=8KX3c-GSSWR99tdN\&q=85\&s=18f697213a311b99331bd1969ec1ad1b) ### Known Errors Known errors are recognized as matching an existing category or pattern. This does **not** mean they are harmless or safe to ignore. A known error may still require priority when: * Its frequency or affected-user count increases * It begins affecting a critical workflow * Its business impact becomes greater * It appears in a new application version or segment * An earlier remediation was incomplete * Its recurrence violates an SLA ![Error Analysis: Known Errors](https://mintcdn.com/germain-ux/8KX3c-GSSWR99tdN/images/main/errors-analysis-ai-powered/new-error-detection.gif?s=195cdd1adce5d7f3e04e066630e4e3fa) Categorization reduces duplication and supports ownership and trend analysis; business impact determines priority. [Learn more about GermainUX Categorization](https://docs.germainux.com/main/data-categorization.md). ## User and Business-Impact Analysis Error frequency alone does not reveal importance. One error affecting a critical transaction may matter more than thousands of harmless background events. GermainUX can quantify impact using measures such as: * Users and sessions affected * Error occurrences and recurrence rate * Transactions and workflow instances affected * Conversion and abandonment impact * Revenue impact, when configured * Lost productivity and time wasted > **Show all 9** > > * Applications, pages, products or process steps affected > * Customer, employee or business segment > * SLA priority and operational severity Focused Flow and journey analytics show where errors occur within a funnel or business process and how they affect progression and completion. ![Error Analysis: User and Business-Impact Analysis](https://mintcdn.com/germain-ux/8KX3c-GSSWR99tdN/images/main/errors-analysis-ai-powered/image-20241122-181454.png?fit=max\&auto=format\&n=8KX3c-GSSWR99tdN\&q=85\&s=742011881db9c96fd0ac89c4820426dc) ## Reproduce the User Experience with Session Replay Difficult production errors can take hours, days or weeks to reproduce manually. GermainUX Session Replay lets teams inspect what the user actually experienced when the error occurred. Replay can show: * The user’s objective and preceding actions * The page, screen or workflow step involved * The visible message or broken behavior * Clicks, input, navigation and application-state changes * What the user attempted after the error * Whether the user recovered, abandoned or repeated the action * Nearby browser, network and technology events Because captured events are searchable, teams can move directly to the relevant moment instead of watching the complete session. [Learn more about GermainUX Session Replay](https://docs.germainux.com/main/user-monitoring-and-replay.md). ## Error Click Heatmap The [Error Click Heatmap](https://docs.germainux.com/main/heatmaps.md#error-clicks-heatmap) shows where user clicks are associated with errors or failed application behavior. It helps identify: * Page elements generating the most error-related interactions * Broken controls or links * Errors concentrated around a particular workflow step * Interface failures affecting many users * Areas requiring representative Session Replay analysis An error occurring near a click does not always mean the click caused it. Session Replay, console events, network requests and transaction traces help establish the relationship. ![Error Analysis: Error Click Heatmap](https://mintcdn.com/germain-ux/8KX3c-GSSWR99tdN/images/main/errors-analysis-ai-powered/image-20241122-181750.png?fit=max\&auto=format\&n=8KX3c-GSSWR99tdN\&q=85\&s=8df1a693475737341f99e6aa29f802ac) ## Root-Cause Analysis GermainUX can correlate an error with the transaction and technology activity surrounding it. Depending on the monitored architecture, teams can trace: User action Browser or application Network Application code Integration Database Infrastructure Supporting evidence can include: * Error messages and stack traces * Console events * HTTP requests and responses * Application methods and code execution * Database queries * Integration calls * Application and infrastructure metrics * Correlation, transaction and session identifiers This helps teams determine whether the visible symptom originated in the user interface, application code, data, a dependency or infrastructure. Check the of the Analysis Dashboard ## AI Explore ![Error Analysis: AI Explore](https://mintcdn.com/germain-ux/8KX3c-GSSWR99tdN/images/main/errors-analysis-ai-powered/image-20260910-163141.png?fit=max\&auto=format\&n=8KX3c-GSSWR99tdN\&q=85\&s=38f2c0b327b250bcba8a2f05973bc3c4) From a detailed Error Analysis view, AI Explore can help teams ask questions about the available evidence, including: * Why does this error occur? * Is it increasing or behaving abnormally? * Which users and workflows are most affected? * What other KPIs changed at the same time? * What is the likely root cause? * What evidence supports that conclusion? * What should be investigated next? AI Explore can summarize and interpret captured evidence, but its findings should be validated against the underlying session, trace, logs and application context. ![AI Explore](https://mintcdn.com/germain-ux/8KX3c-GSSWR99tdN/images/main/errors-analysis-ai-powered/image-20260310-142508.png?fit=max\&auto=format\&n=8KX3c-GSSWR99tdN\&q=85\&s=af6f2c3a9fecf4f17181b02384c905bf) AI Explore - GermainUX ## Prioritization A practical error-priority model should combine several factors: | Factor | Examples | | - | - | | User visibility | Visible failure, hidden failure or expected validation | | Business criticality | Checkout, CRM task, fulfillment, payment or another critical process | | Scope | Users, sessions, transactions and regions affected | | Severity | Blocked workflow, degraded experience or recoverable condition | | Frequency and trend | Isolated, recurring, increasing or spiking | | Novelty | New category, known category or regression | | Root-cause confidence | Confirmed through replay and trace or still under investigation | This prevents teams from prioritizing solely by raw occurrence count or technical severity. ## Alerts, Ownership and Remediation GermainUX can turn error analysis into action through: * Real-time alerts and SLA notifications * Scheduled error summaries * Assignment and collaboration workflows * Links to Session Replay and root-cause evidence * Dynamic investigation or remediation actions * Approved automated recovery workflows Alerts can focus on conditions such as new errors, critical user-facing failures, increasing recurrence or errors affecting a high-value business process. ## Validate Resolution After a fix is deployed, GermainUX can verify whether: * The error stopped occurring * The affected-user count declined * The workflow or conversion recovered * A new error replaced the previous symptom * Performance and user behavior improved * The issue remains resolved across versions, segments and environments This completes the workflow from detection through production validation. ## AI KPIs **AI Error Analysis** KPI provides an AI-generated analysis of error events to help teams quickly understand errors and support further investigation. For the complete KPI definition, see [AI KPIs](https://docs.germainux.com/main/ai-kpis-pivots-measures.md) and [other KPIs.](https://docs.germainux.com/main/kpis.md) ## Security and Privacy Error messages, stack traces, network responses and Session Replay may contain sensitive information. GermainUX should be configured to mask, anonymize or exclude sensitive data and restrict access to authorized users. Collection, retention and analysis should follow the organization’s [security, privacy and compliance requirements.](https://docs.germainux.com/main/compliance-privacy-and-security.md) ## Additional Resources > **[AI](https://docs.germainux.com/main/ai-driven-insights.md)** > > Insights & Recommendations > **[Outliers And Anomaly Detection](https://docs.germainux.com/main/outlier-detection.md)** > > Read more > **[Analytics](https://docs.germainux.com/main/analytics.md)** > > More Analytics Features > **[Automation](https://docs.germainux.com/main/automation.md)** > > More Automation Features > **[Dashboards](https://docs.germainux.com/main/dashboard-and-report.md)** > > Dashboards and reports overview > **[Reports](https://docs.germainux.com/main/reporting-automatic.md)** > > Automatic and scheduled reports > **[Management](https://docs.germainux.com/main/management.md)** > > More Management Features ## Get Help > **[Contact GermainUX Support](https://docs.germainux.com/main/support.md)** > > 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. 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