Traceability and Test Coverage in TestRail: A Guide for QA Teams

The complete guide to building audit-ready traceability 

One common question we receive from new TestRail users is: “How do I trace requirements using TestRail?”. Sometimes, users even specifically ask, “Does TestRail support RTM (Requirements Traceability Matrix) to trace test coverage?”

The good news is, TestRail does all of that – and more! In this post, you will learn:

• What does traceability mean in the context of QA?
• Why is traceability important, and what are its limitations?
• What is a Requirements Traceability Matrix (RTM)?
• How to create traceability reports in TestRail.
• How to use AI to accelerate test case creation with built-in traceability.
• How to leverage traceability for compliance and audit readiness.

What do we mean by traceability?

In IT and Software Engineering, traceability refers to the ability to track a business requirement across different stages of the development lifecycle—from requirement gathering to design, development, testing, and maintenance.

Traceability works by linking different artifacts—requirements, user stories, and epics—to their corresponding test cases, test runs, and test execution results (including defects), and vice versa.

Why is traceability important?

Traceability ensures that requirements are met by the product and that the product has been built and tested correctly. It is different from test coverage, which ensures that product requirements are covered by associated tests.

Increasing test coverage reduces defect leakages before the product is released, and a traceability matrix establishes a way to verify that we have adequate coverage built into our test planning and execution.

In summary, traceability helps with:

• Creating a snapshot to identify coverage gaps

• Providing visibility throughout the development lifecycle

• Accelerating development and reducing wasted resources

• Tracking coverage metrics (tests run, passed, failed, blocked) for every requirement

• Analyzing impact when requirements or test cases change

Ultimately, the goal for traceability is to help you plan and manage testing activities (including defect management) better.

What is a Requirements Traceability Matrix (RTM)?

When someone refers to “RTM” in the context of software testing, they typically mean a worksheet—usually in Excel or Google Sheets— that contains the requirements for their project with all possible test scenarios and their current state (to do, passed, failed, etc.).

Consider a scenario where we have the following business requirement: “User should be able to sign up using email and Facebook” with 2 test cases in Sprint 1:

1. T01: Sign up using Email

2. T02: Sign up using Facebook

If during test execution T01 passed and T02 failed, a basic traceability matrix might look like this:

From this snapshot, we are immediately able to understand that T02 failed during its execution on Sprint 1, that a new defect was reported based on that failed test (D1), and that the failed test case was designed based on the R01 requirement to validate the “Sign up using Facebook” functionality.

Limitations of RTM in Excel or Google Sheets

Here’s what a typical traceability matrix might look like in a simple Excel or Google Spreadsheet (although there would usually be more columns than this for various iterations over a project): 

While Excel or Google Sheets can provide a quick, easy way to create an RTM matrix, maintenance becomes tedious and a potential breeding ground for mistakes: 

• As requirements grow, the number of columns in the sheet grows too

• Every time an artifact changes, the team has to manually update the matrix

• Manual updates are time-consuming and prone to errors

• If the matrix doesn’t reflect accurate information, you can’t make data-driven decisions

How to create traceability reports in TestRail

TestRail supports requirement traceability through comprehensive traceability/coverage reports available under the Reports tab.

These reports give an overview of your requirement coverage—you can see all bug reports for your test cases at a glance and get a detailed matrix of the relationships between requirements, test cases, and defects.

Most teams manage their requirements within their issue tracker project management tool (like Jira or Azure DevOps), wiki software, or dedicated requirement management tools. To build traceability in TestRail, you’ll just need to link these requirements in the References field on TestRail Test Case and Test Result artifacts.

Which report should you use?

Now, let’s see how we can use reports like Coverage for References, Summary for References, and Comparison for References to show the coverage for requirements/user stories.

Coverage for References Report

The Coverage for References report shows the relationship between your references (requirements) and test cases. It also shows test cases with or without references—helping you identify coverage gaps.

To report on coverage across your entire list of requirements:

1. Open a new Coverage for References report

2. Under Report Options > References, select “The following references only.”

3. Paste your list of requirement/issue IDs

4. Run the report

You’ll now see which requirements have been associated with test cases and which have gaps in coverage.

Screenshot: Coverage for References report

Summary for References Report

The Summary for References report shows defects found during testing alongside your references and test cases in a coverage matrix. This helps you understand which requirements have the most issues.

Summary for referencesDownload

Screenshot: Summary for References report

Comparison for References Report

The Comparison for References report is the most similar to a traditional RTM. It lets you compare the latest status of testing against your list of requirements to identify overall progress, potential gaps, and issues that need triage.

You can have multiple test runs/plans active at the same time, and this report will generate a matrix showing references, test cases, and results. The “Latest” column shows the most recent result for each test.

Screenshot: Comparison for References report

How TestRail Solves Traceability

Escape the Spreadsheet Trap

Spreadsheets served their purpose when test suites were small and teams worked in silos. But as release cycles accelerate and compliance requirements tighten, manual traceability matrices become a bottleneck — eating up hours of productivity and introducing risk whenever someone forgets to update a cell.

Forrester found that teams reduced traceability report generation from 4+ hours in Excel to less than 5 minutes in TestRail—a 98% time savings that compounds across every sprint and audit cycle.

Accelerate with AI

Building comprehensive test coverage used to mean hours of manual test case writing. With TestRail’s AI-powered test case generation, you can now build a fully traceable test suite in a fraction of the time.

What AI Test Case Generation unlocks:

• Instant test case creation — generate from requirements in seconds, up to 90% faster than manual
• Human-in-the-loop control — review and accept only the most valuable suggestions
• BDD scenario generation — create scenarios directly from user stories
• Consistent coverage — eliminate gaps from human oversight

Stay in Sync with Jira Issue Connect

This improved integration between TestRail and Jira provides a real-time 2-way sync between platforms, enabling improved traceability, a centralized workflow, and faster releases. It unlocks:

• Live Jira fields inside TestRail — see status, assignee, and priority without switching tabs
• Automatic defect creation and linking — push defects from test results directly to Jira
• Bi-directional updates — changes in Jira reflect instantly in TestRail
• End-to-end traceability — from Jira requirement → TestRail test case → Jira defect

Simply link your Jira issues in the References field, and TestRail handles the rest. Your Coverage, Summary, and Comparison reports will automatically reflect your Jira requirements.

Screenshot: TestRail References field with Jira link

See Test Coverage Inside Azure DevOps

If your team works in Azure DevOps, the TestRail Azure DevOps Marketplace App closes the other half of the traceability loop. Where the Jira integration gives TestRail users visibility into Jira data, the Marketplace App works in the other direction: developers, project leads, and release managers reviewing ADO work items can see linked test cases, run history, and the latest TestRail status without switching tools. Coverage stops being something QA reports on and becomes part of every work item review.

• Coverage panel in ADO work items — a read-only panel inside each ADO work item shows linked TestRail test cases, run results, and a deep link back to TestRail
• Requirements linking — link one or more TestRail test cases to ADO user stories, bugs, and features by Work Item ID; bulk-link multiple test cases to a single requirement
• Defect creation from test results — file an ADO bug directly from a TestRail test result in one action; the bug is pre-populated with test context, steps, and environment
• End-to-end traceability — from ADO requirement → TestRail test case → ADO defect, the connection is traceable and persistent

Just install the app from the Azure DevOps Marketplace, connect your TestRail instance, and map your projects. Your Coverage, Summary, and Comparison reports in TestRail will reflect your ADO requirements alongside any other linked tools.

Screenshot: TestRail coverage panel inside an ADO work item

Be Audit-Ready from Day One

If you’re in banking, insurance, fintech, healthcare, or any industry subject to compliance audits, traceability isn’t optional — it’s required. Auditors expect you to demonstrate that every requirement has been tested, every defect has been tracked, and every change has been documented.

With spreadsheet-based RTMs, preparing for a SOC 2, PCI-DSS, or SOX audit can take days of manual work — and still leave gaps. 

TestRail’s traceability reports provide:

• Immutable audit trails that can’t be retroactively edited
• One-click compliance reports linking requirements → tests → defects
• Role-based access controls for sensitive test data
• Version history for every test case change
• Scheduled report delivery via email (PDF or HTML)

Teams using TestRail report reducing audit prep time by up to 50% — from days to hours.

Bottom line

Whether you’re evaluating TestRail for the first time or making the case to your team, here’s what matters most: TestRail doesn’t just replace your spreadsheet — it transforms traceability from a manual chore into an automated, always-current asset.

1. No copy-paste from multiple systems. TestRail integrates with 30+ tools including Jira, Azure DevOps, GitHub, and GitLab.
2. 98% faster reporting. Forrester found teams reduced traceability report generation from 4+ hours in Excel to less than 5 minutes in TestRail.
3. Real-time visibility. Track coverage throughout your project lifecycle, not just at milestone checkpoints.
4. Multi-run support. Report on traceability across multiple test runs — something a basic spreadsheet can’t do without substantial rework.
5. Live Jira sync. With TestRail 10, Jira integration includes two-way sync — no more manual exports or stale data.
6. Built-in Azure DevOps coverage. Bring test case status, run history, and defect tracking directly into ADO work items — so developers and team members who use ADO see coverage and status without leaving their workflow.
7. AI-powered test creation. Generate test cases from requirements in seconds, with traceability built in from the start.
8. Audit-ready. Schedule reports, share via email, and maintain immutable records for compliance.

Ready to build audit-ready traceability? Start your 14-day free trial or see AI-powered traceability in action with a personalized demo.

Frequently asked questions

Does TestRail support a Requirements Traceability Matrix (RTM)?

Yes. The Comparison for References report is TestRail’s equivalent of a traditional RTM. It compares the latest test status against your list of requirements so you can see overall progress, coverage gaps, and issues that need triage — across multiple test runs and plans at once, which a static spreadsheet cannot do without substantial rework.

How do I trace requirements in TestRail?

Link your requirements — Jira issues, Azure DevOps work items, user stories, or IDs from a requirements management tool — in the References field on TestRail test cases and test results. Once requirements are linked, the Coverage, Summary, and Comparison for References reports automatically show the relationships between requirements, test cases, and defects.

What is the difference between traceability and test coverage?

Traceability is the ability to track a requirement across the development lifecycle by linking it to its test cases, runs, and defects. Test coverage measures whether product requirements are actually covered by associated tests. Traceability gives you the map; coverage tells you how complete that map is. A traceability matrix is how you verify that adequate coverage is built into test planning and execution.

Which TestRail report should I use for traceability?

Use Coverage for References during test planning to find requirements without test cases and test cases without references. Use Summary for References for defect analysis to see which requirements have the most issues. Use Comparison for References for release readiness and audit reporting, since it shows pass, fail, and blocked counts by requirement.

Can TestRail traceability help with compliance audits?

Yes. For SOC 2, PCI-DSS, SOX, and similar audits, TestRail provides immutable audit trails that cannot be retroactively edited, one-click compliance reports linking requirements to tests to defects, role-based access controls, version history for every test case change, and scheduled report delivery. Teams using TestRail report reducing audit prep time by up to 50%.

How does AI test case generation support traceability?

TestRail’s AI-powered test case generation creates test cases and BDD scenarios directly from your requirements in seconds — up to 90% faster than manual authoring — with traceability built in from the start. Because the test cases are generated from the requirement itself, the link is established immediately, and a human-in-the-loop review step lets you accept only the most valuable suggestions.

Does TestRail integrate with Jira and Azure DevOps for traceability?

Yes. Jira Issue Connect provides a real-time, two-way sync that shows live Jira fields inside TestRail, creates and links defects automatically, and keeps both tools in sync. The Azure DevOps Marketplace app works in the other direction, showing linked TestRail test cases, run history, and status inside ADO work items. Both create end-to-end traceability from requirement to test case to defect.

Is a spreadsheet good enough for a traceability matrix?

For small test suites, a spreadsheet RTM can work. But as requirements grow, columns multiply, every artifact change requires a manual update, and the matrix quickly becomes inaccurate — which means you can no longer make data-driven decisions from it. A dedicated test management tool keeps traceability always current without manual maintenance.