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Katalon True Production Insights:
An entirely new way to test.

Closing every coverage gap with actual user experiences.
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How True Production Insights works:

truetest-work-step1-1 truetest-work-step1-1
STEP 1
Map real user flows and regression testing flows
STEP 1
Map real user flows and regression testing flows

With True Production Insights instrumented on both production environment and regression testing environment, its AI synthesizes flows into two journey maps:

-> A real user journey map

-> A regression testing map

truetest-work-step2 truetest-work-step2
STEP 2
Identify coverage gaps
STEP 2
Identify coverage gaps

True Production Insights compares the two maps and highlights gaps in coverage in your regression suite against the real user journey map.

truetest-work-step3 truetest-work-step3
STEP 3
Close coverage gaps
STEP 3
Close coverage gaps

The True Platform automatically generates the missing regression tests to address the coverage gaps, delivering instant automation coverage.

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TrueTest Work Decor

User-Journey-Maps
User Journey Maps

Visualize and prioritize the user flows that matter most to your business.

Learn how your users actually interact with your application.

 

Coverage-Gap-Analysis
Coverage Gap Analysis

Compare two journey maps (e.g., real user flows in production vs. regression testing flows).

Identify your coverage gaps and eliminate blind spots.

Automated-Test-Generation
Automated Test Generation

Select your prioritized flows and automatically generate test scripts.

Fill your automation coverage gaps... instantly.

Built with enterprise-grade security

Learn more ->

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ISO 27001
Certified to protect your data and systems.
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SOC 2
Audited for strict data security compliance.

Don’t let outdated testing practices undermine your entire AI investment strategy.

Hear from Vu Lam, our CEO, on how True Production Insights (formerly TrueTest) empowers QA teams like yours to thrive in an AI-native world.
 
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Katalon True Production Insights Overview

Frequently asked questions

What is True Production Insights?

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True Production Insights is the Platform capability that ingests production telemetry and real-user interaction data to provide continuous quality intelligence. It identifies coverage gaps, prioritizes tests and fixes, highlights regressions seen in production, and recommends targeted tests and remediation — all to reduce risk and shorten time-to-fix for production issues.

How does True Production Insights create tests from real user behavior?

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The system analyzes anonymized interaction trails, session flows, and event telemetry to identify frequent and high-risk user journeys. It translates those journeys into execution-ready test cases (UI and API) and groups them into suites aligned with feature areas. Generated tests are output in an executable format so they can run directly in Platform orchestration or be reviewed and edited in your IDE.

Why test for agentic and production behavior now?

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Production traffic increasingly includes non-human and hybrid agentic interactions (bots, automations, and third-party agents) with different patterns and priorities than human users. Testing only pre-prod human scenarios risks missing regressions that matter in production. True Production Insights ensures your test coverage reflects real world usage — including agentic workflows — so you catch issues affecting actual customers and automations before they escalate.

What are the prerequisites for setting up True Production Insights in our environment?

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At a minimum you’ll need:

  • A Platform tenant with permissions to configure True Production Insights;
  • A mechanism to forward production telemetry (events, session traces, or summarized user journeys) to the Platform — typically via a lightweight snippet, tag manager, or server-side event forwarding;
  • A Git repository or storage location (with write permissions) where generated test artifacts are stored (so they can be versioned and managed).
 Implementation details vary by app architecture; our docs and onboarding guides cover instrumentation patterns and recommended telemetry models.

How are generated test cases stored, versioned, and maintained?

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Generated test cases are written as executable artifacts and stored in your Git repository or your chosen artifact store under version control. You can review, edit, and approve generated tests in the Platform or in Katalon Studio before they are promoted to active suites. The Platform tracks provenance and change history so every generated test shows its source journey, the generation timestamp, and any human edits for auditability.

Can True Production Insights track customer journeys across multiple applications?

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Yes. True Production Insights can reconcile interactions that span multiple domains or packaged apps by ingesting correlated session traces or shared identifiers. It can stitch user journeys across micro-frontends, embedded apps, or hybrid systems and generate cross-application test cases that represent end-to-end customer flows.

How does True Production Insights handle dynamic or highly interactive applications?

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The Platform models dynamic elements via variables and contextual locators rather than brittle static selectors. Generated tests use resilient locator strategies and parameterization so a single test definition can cover many UI variations. For highly interactive flows (drag/drop, canvas, webviews), the system captures interaction semantics and maps them to stable test actions or helper functions, reducing object duplication and easing maintenance.

How does True Production Insights handle updates to the application?

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True Production Insights continuously re-ingests production behavior and flags when user journeys change. It suggests updates to existing tests or generates replacement tests when behavior shifts. Suggested updates include the changed steps, recommended locator adjustments, and a confidence score — teams can accept, modify, or reject proposed changes. This continuous loop keeps test suites aligned with live application behavior without heavy manual rewrite.

What data is collected from end users, and how is sensitive information protected?

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True Production Insights collects interaction metadata (clicks, navigation paths, UI events, API call traces, and non-PII context) by default. It does not capture raw sensitive fields (passwords, credit card numbers, personal identifiers). Sensitive fields are automatically masked or excluded; teams can also supply explicit exclusion rules or client-side masking policies. The Platform supports configurable retention, export, and purge policies so organizations meet privacy and compliance requirements.

What level of technical expertise is required to use True Production Insights?

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True Production Insights is built for both technical and non-technical users. Basic setup and review workflows require minimal technical skills (instrumentation and connection). Interpreting advanced telemetry, customizing generation rules, or building complex refactors benefits from automation engineers or SDET involvement. Generated tests are editable, so developers and SDETs can refine and extend them as needed.

What deployment options are available for True Production Insights?

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True Production Insights runs as part of Katalon True Platform; deployment models depend on your Platform topology: fully managed SaaS, self-hosted Platform components, or hybrid setups. Organizations with strict data residency needs can use hybrid or self-hosted ingestion patterns (forwarding only anonymized/summarized telemetry to the managed service) or keep the ingestion pipeline in-house while leveraging Platform analysis. For enterprise deployments, we provide guidance and professional services for secure, compliant architectures.

How do we get started with True Production Insights?

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Start with a scoped pilot: configure telemetry forwarding for a single application or feature, validate collected journeys, and review the first set of generated tests in a staging project. Use the Platform review flow to vet and approve tests, run them in a controlled environment, and iterate on the generation rules. We recommend a phased rollout—pilot → refine policies → scale across apps—with Platform onboarding and professional services available to accelerate large-scale adoption.

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