Documentation that moves with the product.

What QTXpert is

QTXpert is a quality engineering platform for turning product intent into traceable coverage, governed autonomous testing, and evidence that teams can review before release.

The platform is designed for shared understanding: engineering, product, QA, and leadership can work from the same quality story.

Bring the context you already have

Start with the material that explains the workflow. Useful inputs can include:

• A product URL, app flow, or API contract.
• User stories, acceptance criteria, or requirements documents.
• Jira or Confluence context, where it is available to your workspace.
• A short recording, screenshots, or a plain-language description of the intended behavior.

Your first pass

1. Bring intent. Give QTXpert enough context to understand the user outcome, constraints, and risk.
2. Review the interpretation. Check that the important actors, states, and acceptance signals are represented correctly.
3. Shape coverage. Keep the paths that matter and add the negative, edge, or regression cases your team expects.
4. Choose the next action. Continue to a governed run, share the suite for review, or request help with the workflow.

What a useful outcome looks like

You should be able to see what the system understood, what it plans to cover, what was actually run, and where a person still needs to decide.

Next step

If you want to map a real project to this path, a specialist can walk through the workflow with you by email.

The five steps

1. Context. Start with the product intent and the workflow a person needs to complete.
2. Understanding. Surface actors, states, risks, and acceptance signals before coverage is written.
3. Coverage. Create editable functional, negative, edge, security, accessibility, or regression cases where they add value.
4. Autopilot. Run approved coverage within an explicit scope and the controls defined by your team.
5. Evidence. Keep the outcome, failure context, and traceability visible for review and release planning.

Where people stay in control

Autonomy is useful only when the boundaries are clear. People set scope, review coverage, approve important actions, handle exceptions, and own the final release decision.

What remains connected

• Requirements stay connected to the cases created from them.
• Coverage stays connected to the environments and run scope selected for execution.
• Failures stay connected to the evidence and context needed for triage.
• Results stay connected to the conversation about risk and release readiness.

When to use the loop

Use the full loop for a new feature or a release-critical journey. For a smaller change, start at the relevant step and keep the same traceability: what changed, what was covered, and what evidence supports the decision.

What goes into a useful case

A reviewable case makes its intent visible. In practice, that means a clear title, priority, preconditions, steps, and expected result. Keep the language specific enough that another person can challenge or approve it.

Choose the coverage lens

• Functional paths: the expected journey a user or service should complete.
• Negative paths: invalid input, missing state, rejected action, or an expected error.
• Edge paths: boundaries, unusual combinations, timing, or volume that could change the outcome.
• Regression paths: stable journeys that protect a capability already in use.
• Quality attributes: security, accessibility, or responsive behavior when they are part of the risk.

Review before you run

1. Check the source. Confirm that the case maps to a real requirement, workflow, or risk.
2. Check the boundary. Remove assumptions that are not true in the target environment.
3. Check the expected result. Make the signal observable and unambiguous.
4. Check the priority. Keep critical release paths easy to find and avoid treating every case as equally urgent.

Keep suites useful over time

Coverage is a living asset. When a requirement changes, update the linked cases and note what changed. Retire paths that no longer represent the product, and keep a small, high-signal regression set for frequent runs.

Need a second pair of eyes?

Bring one workflow to a walkthrough and we can help you decide which coverage is worth keeping.

Connect the execution layer

Execution depends on your workspace configuration and connected environments. Before a run, confirm that the selected target, test data, permissions, and expected signals are available to the runner.

What to retain

• The requirement or workflow the run is intended to validate.
• The suite version, scope, environment, and run timing.
• Pass, fail, blocked, or skipped status with a reason where available.
• Relevant screenshots, logs, responses, or other run artifacts.
• The review outcome: fix, rerun, accept an exception, or continue toward release.

When a run fails

1. Confirm the signal. Separate a product failure from a missing element, environment issue, or transient condition.
2. Read the context. Use the step, expected result, and captured evidence to reproduce the important part of the failure.
3. Choose the next action. Fix the product, update the case, rerun the step, or pause for a decision.
4. Keep the trail. Record why the result changed so the next reviewer does not have to reconstruct the story.

Make the release conversation easier

Evidence should answer three simple questions: what did we intend to validate, what happened in the target environment, and what risk remains? When those answers are visible, status meetings can focus on decisions instead of screenshots collected by hand.

Need help mapping your runner?

Request a walkthrough and bring the environment, tools, and evidence expectations you already use.

What Autopilot does

Autopilot takes approved coverage into connected environments, executes the selected journeys, and brings back status and evidence for review. It is built to reduce repetitive coordination without hiding what happened.

Controls before a run

A governed run starts with a clear operating envelope:

• Scope: the suites, journeys, environments, and timing that are in bounds.
• Approvals: the actions or checkpoints that need a person before the run continues.
• Failure policy: what can be retried, what should pause, and what must be escalated.
• Evidence: the artifacts and status your team needs to review the outcome.
• Ownership: the person or team responsible for exceptions and the release decision.

During and after execution

1. Run. Autopilot works through the approved coverage in the connected environment.
2. Observe. Status shows what is in progress, complete, blocked, or needs attention.
3. Pause when needed. Configured controls and exceptions keep uncertain work from silently moving forward.
4. Review evidence. Use the result and failure context to decide whether to fix, rerun, expand coverage, or release.

What Autopilot does not decide

Autopilot does not replace product ownership or release accountability. It does not turn an ambiguous requirement into an unquestionable truth, and it should not bypass a control simply to finish a run.

See it in context

The product demo shows how an Autopilot run fits into the wider quality loop.

Where an integration can help

Connections reduce the gap between intent and execution. Depending on your workspace setup, QTXpert can be discussed alongside the systems your team uses for:

• Product context: requirements, user stories, acceptance criteria, and knowledge pages.
• Web, API, and mobile validation: the product surfaces your coverage needs to exercise.
• Delivery workflows: build, deployment, and CI/CD signals that help determine when to run.
• Quality and defect tracking: cases, results, findings, and the follow-up work created by a run.

What to decide before connecting

1. System of record. Decide where requirements, cases, defects, and release status should remain authoritative.
2. Direction of flow. Define what QTXpert reads, what it creates, and what should stay human-reviewed.
3. Identity and access. Limit connections to the projects, environments, and actions the workflow needs.
4. Evidence path. Agree where run artifacts and decision context should be available to reviewers.

Availability depends on your workspace

The exact connector, permissions, data path, and execution support depend on the QTXpert workspace configuration and the tools in your environment. Public documentation describes the operating model; a walkthrough is the right place to confirm a specific integration.

Next step

Tell us which systems matter to your workflow and a QTXpert specialist will contact you by email.

Read the current public boundary

QTXpert’s public materials describe a control-oriented approach to quality work. They are not a substitute for a customer-specific security review, contract, or data-processing assessment.

For the current public statements, see the Security & trust page and the Privacy & governance page.

What to confirm for your environment

• Which data enters the workspace and which data must remain in your systems.
• Who can view, edit, run, approve, and export quality information.
• How long workspace content and run evidence are retained.
• Where processing and stored data are located for your agreement.
• Which security documentation, review steps, and contractual terms your organization requires.

Use a bounded evaluation

Start with an approved, representative workflow and the minimum context needed to evaluate the quality loop. Define the data boundary, reviewers, environments, and success criteria before you connect a real project.

Request the right conversation

Share your requirements through the contact page. A QTXpert specialist will contact you by email to understand the workflow and discuss the relevant controls.

About the workflow

About Autopilot

About access and help

If you cannot access the workspace

• Confirm that you are using the workspace sign-in link provided to your team.
• Check that your account has been invited to the correct project or workspace.
• Try the latest version of your browser and a fresh session.
• Note the time, page, and visible message before contacting support.

If the coverage needs changes

1. Return to the source. Check the requirement, workflow, or acceptance signal the case came from.
2. Mark the gap. Identify the missing state, actor, data condition, or expected result.
3. Edit the case. Make the smallest change that makes the intent and result reviewable.
4. Rerun deliberately. Keep the scope visible so the new result can be compared with the previous one.

If an execution is not connected

Confirm the target environment, selected scope, permissions, runner status, and required test data. Integration behavior is workspace-specific, so capture the configuration and handoff where the run stopped.

If a run fails

Review the failure step, expected result, captured evidence, and environment status. Decide whether the next action is a product fix, a coverage update, a rerun, or a controlled exception.

How to get help

Share the workflow, the expected outcome, and the point where the result diverged. A QTXpert specialist will contact you by email to understand the situation and discuss the next step.

Core terms

Autopilot

QTXpert’s autonomous testing layer. It runs approved coverage inside an explicit operating boundary and returns status and evidence.

Quality loop

The connected path from product context and understanding to coverage, governed execution, evidence, and a release decision.

Traceability

The connection between the requirement, the coverage created from it, the run that exercised it, and the evidence that supports the result.

Coverage

The set of functional and quality-attribute checks chosen to reduce uncertainty for a workflow or release.

Evidence

The status, artifacts, and context that let a reviewer understand what happened and why a decision followed.

Approval gate

A deliberate point where a person must review or authorize an action before a governed workflow continues.

Failure policy

The rule for how a workflow handles a failed, blocked, ambiguous, or transient result.

Release confidence

A reasoned view of known evidence and remaining risk, not a claim that a release is risk-free.

How to use the vocabulary

When a team says “the test passed,” ask which coverage was in scope, what evidence was captured, and what decision the result supports. Shared terms are useful when they make the next action clearer.

See the terms in action

Start with the QTXpert quality loop, then use the Autopilot guide to see how autonomy and governance fit together.