What Does UAT Stand For? Testing Explained Simply
UAT stands for User Acceptance Testing, a final-stage software testing process used to confirm that a product works correctly for the people and business processes it was created to support. Instead of focusing mainly on technical defects, UAT asks a practical question: can real users successfully complete the tasks the software is supposed to make possible? Businesses commonly perform user acceptance testing before launching a new application, releasing a major feature, replacing an existing system, or deploying an important software update. The process usually involves business users working through realistic scenarios in a controlled test environment. Their results are compared with predefined business requirements and acceptance criteria. If important problems appear, they are reported and corrected before the system receives final approval for production.
Understanding what UAT stands for is useful for developers, project managers, product teams, business analysts, quality assurance specialists, and customers involved in software implementation. UAT sits between technical testing and real-world deployment, giving stakeholders an opportunity to determine whether the solution actually meets business expectations. A feature can function perfectly from a developer’s perspective yet still fail user acceptance testing because the workflow is confusing, incomplete, or inconsistent with operational requirements. This distinction explains why UAT is not simply another name for quality assurance. It validates whether the finished system is suitable for its intended purpose from the user’s perspective. The following guide explains how UAT works, who performs it, what a typical testing process includes, and how teams can avoid common mistakes.
What Does UAT Stand For in Software Testing?
UAT stands for User Acceptance Testing, which is a type of software validation performed to determine whether a system satisfies the needs of its intended users and business stakeholders. It normally takes place after developers and quality assurance teams have completed major technical testing activities. During UAT, representative users work through realistic business scenarios rather than concentrating only on individual functions in isolation. A payroll system, for example, might be tested by people familiar with payroll operations to ensure they can complete an entire pay cycle correctly. Their goal is not necessarily to inspect source code or identify every technical flaw. They are evaluating whether the product supports the business process it was designed to improve or replace.
The word “user” in User Acceptance Testing is important because the people performing the tests should understand the real tasks the software needs to support. They may be employees, business representatives, customers, subject matter experts, or other stakeholders depending on the application. A developer can confirm that a button works technically, but an end user can determine whether that button appears in the right place and produces the result required by the workflow. This practical knowledge makes UAT different from many earlier testing stages. The testers understand what a successful business outcome should look like. Their perspective helps identify gaps that may not appear during purely technical validation, especially when software requirements have been interpreted differently during development.
The word “acceptance” refers to the decision about whether the software is suitable for release or implementation. Before testing begins, teams usually establish acceptance criteria describing the conditions the product must satisfy. These criteria might specify that users can complete a purchase, generate a report, approve an invoice, create an account, or process another important transaction successfully. If the system meets those conditions and no unacceptable problems remain, business stakeholders may provide UAT sign-off. Sign-off does not necessarily mean the software contains zero defects because almost every complex application has imperfections. Instead, it means stakeholders believe the remaining risks are acceptable for the planned release. Clear acceptance criteria make that decision more objective and prevent approval from depending entirely on personal opinion.
The word “testing” reflects the structured process of checking the software against expected outcomes. UAT is not simply asking several employees to click around the application and report anything unusual. Effective user acceptance testing uses prepared scenarios, test cases, data, expected results, responsibilities, and defect-reporting procedures. Testers complete defined tasks and record whether the actual outcome matches what the business requires. When something fails, the issue is documented so the project team can investigate it. Structured testing also makes results easier to review because stakeholders can see which important workflows passed and which still contain problems. This approach gives decision-makers stronger evidence when determining whether a release should proceed, be delayed, or receive additional testing.
UAT can appear under slightly different names depending on the project and industry. Teams may refer to acceptance testing, business acceptance testing, end-user testing, operational acceptance, or customer acceptance in specific contexts. These terms can overlap, but organizations may define their processes differently. The central idea remains that someone representing the business or intended user validates whether the system is ready for its real purpose. UAT is particularly important for software that supports critical business workflows because technical correctness alone cannot guarantee operational usefulness. A system can pass automated tests and still create serious problems if its business rules are wrong. User acceptance testing provides the final practical checkpoint before those problems reach everyday users.
Why Is User Acceptance Testing Important?
User acceptance testing is important because software projects can satisfy technical specifications while still failing to solve the user’s actual problem. Developers and QA engineers usually test whether functions operate correctly according to requirements, but business users experience the application as a complete workflow. A form may submit correctly, for example, yet request information that employees do not have at that stage of the process. A report may generate without errors but omit a field managers need for decision-making. UAT exposes these types of gaps because testers approach the product from an operational perspective. They know how tasks are performed in real situations. That perspective can reveal misunderstandings that remained hidden throughout development and earlier testing.
UAT also helps reduce the risk of expensive post-launch problems. Fixing a business-critical workflow before deployment is generally easier than discovering the problem after hundreds or thousands of people begin using the system. Production defects can interrupt operations, create incorrect records, frustrate customers, and require emergency development work. In some situations, organizations may even need to roll back the release entirely. User acceptance testing provides another opportunity to catch important problems before that disruption occurs. The process does not eliminate all production risk because real-world environments are complex. However, it gives teams greater confidence that core business scenarios have been tested deliberately. This makes UAT an important part of release risk management rather than simply a ceremonial approval step.
Another benefit of UAT is that it builds confidence among the people who will eventually use or support the system. Employees may be more comfortable with a new application when representatives from their own business area have tested important workflows before launch. Testers can identify confusing terminology, unnecessary steps, or missing information that could otherwise create adoption problems. Their feedback may also improve training materials and implementation plans. In large organizational projects, UAT can become one of the first opportunities for business teams to experience the nearly finished system in realistic conditions. This early exposure helps prepare them for changes in processes and responsibilities. Acceptance testing therefore contributes not only to software quality but also to smoother organizational change.
UAT creates accountability by connecting software requirements with measurable outcomes. During a long project, requirements can pass through analysts, designers, developers, testers, managers, and vendors before the finished product appears. Small misunderstandings can accumulate as information moves between these groups. Acceptance testing brings the conversation back to the original business objectives. Stakeholders can ask whether each critical requirement is actually supported in the finished system. If it is not, the issue becomes visible before approval. This traceability is especially useful when organizations are implementing software under a contract because acceptance criteria may determine whether a deliverable is considered complete. Well-documented UAT results provide a clearer record of what was tested and why stakeholders accepted the final release.
Regulated and high-risk environments may place even greater importance on formal acceptance processes. Healthcare, financial, government, manufacturing, and enterprise systems can support activities where incorrect behavior has serious operational consequences. In these environments, testing may require detailed documentation showing who performed each test, what data was used, what result was expected, and whether deviations were resolved. The precise requirements depend on the organization and system involved. Even outside regulated industries, adopting some of this discipline can improve testing quality. A clearly documented UAT process makes it easier to explain why a release was approved. More importantly, it ensures that acceptance reflects demonstrated business functionality rather than pressure to meet a launch date.
How Does UAT Work Step by Step?
The first stage of UAT is defining the scope and identifying what needs to be validated. Project teams review business requirements, user stories, process documentation, system changes, and release objectives to determine which workflows matter most. Not every technical component needs to be tested directly by business users because much of that work belongs to earlier QA activities. Instead, UAT should focus on end-to-end scenarios that represent meaningful user outcomes. A customer management system might include scenarios for creating a customer, updating information, assigning an account owner, and producing required reports. High-risk and high-frequency processes generally deserve the greatest attention. Clear scope prevents teams from spending valuable testing time on low-value activities while missing critical business functionality.
The next step is creating acceptance criteria, UAT scenarios, and test cases. An acceptance criterion describes what must be true for a feature or process to be considered satisfactory. A test case provides the specific steps, input information, and expected outcome that allow a tester to verify that condition. Good UAT cases are written in language business users understand rather than being filled with unnecessary technical terminology. They also reflect realistic operations instead of artificial demonstrations created only to make the software pass. Test cases should include both common workflows and important exceptions where appropriate. The goal is to represent how the system will actually be used. Well-written scenarios make testing easier to perform consistently and reduce disagreement about whether a particular result should be considered correct.
After test cases are prepared, the organization creates a UAT environment and suitable test data. The environment should resemble production closely enough that results are meaningful while remaining separate from live business operations. Testers may need representative customer records, products, invoices, employee details, permissions, or other information depending on the application. Sensitive production data should not be copied casually into testing environments without appropriate controls. Synthetic or properly protected test data is often preferable. User accounts and permissions should also reflect realistic roles because authorization problems are common in business software. A manager and an ordinary employee may see completely different screens. Preparing the environment carefully prevents technical setup problems from consuming most of the scheduled UAT period.
Actual execution begins when selected testers follow the prepared scenarios and compare results with expectations. A tester might create an order, apply a discount, process payment, generate a confirmation, and verify that the correct information appears in downstream records. If every stage works as expected, the test case can be marked as passed. If something behaves incorrectly, the tester records a defect with enough information for developers or support teams to reproduce the issue. Screenshots, input data, account details, and clear reproduction steps can make defect investigation much faster. Testers should avoid simply writing “does not work” because that description provides little diagnostic value. High-quality defect reports connect the observed problem with the business impact and expected behavior.
The final stages involve defect resolution, retesting, and formal acceptance. Development teams investigate reported issues and determine whether each item is a software defect, misunderstood requirement, data problem, configuration issue, or expected behavior. Critical problems are corrected and returned to testers for confirmation. Regression testing may also be necessary because one fix can affect other areas of the application. Once important scenarios have passed and remaining issues are considered acceptable, authorized stakeholders can approve the release. This UAT sign-off creates a clear decision point before deployment. If serious problems remain, stakeholders may postpone approval until they are resolved. UAT therefore concludes with a business decision based on testing evidence rather than merely reaching the end of a predetermined testing schedule.
Who Performs UAT?
UAT is usually performed by people who understand the business processes the software is intended to support. These testers may include end users, department representatives, product owners, business analysts, subject matter experts, customers, or operational managers. The exact participants depend on the type of system and organization. A new accounting application might be tested by finance employees, while a warehouse system could involve supervisors and staff familiar with inventory operations. Selecting knowledgeable participants is important because they can recognize when a technically functioning feature does not match actual business practice. They also understand unusual but legitimate scenarios that developers may not anticipate. The strongest UAT teams combine practical process knowledge with enough time and support to perform testing carefully.
End users are particularly valuable because they interact with workflows differently from project teams that have been discussing the system for months. Project members may become accustomed to design decisions and unintentionally overlook confusing elements. Someone performing the real job may immediately notice that a common task requires too many steps or that familiar terminology has been replaced with unclear labels. Their feedback reflects day-to-day usability as well as business functionality. However, simply choosing random users is not always effective. Testers should represent important roles, departments, customer types, and experience levels when those groups use the system differently. A diverse but manageable test group provides broader coverage while keeping coordination practical. Representation matters more than having the largest possible number of testers.
Business analysts often play a coordinating role during UAT because they understand requirements and can help connect testers with project teams. They may prepare scenarios, explain expected outcomes, clarify whether a reported issue reflects a requirement, and track overall progress. Product owners can provide similar support in agile environments because they understand priorities and intended product behavior. However, these roles should not dominate the process to the point that actual business users simply follow instructions without thinking critically. Testers need enough freedom to identify situations the written test cases did not anticipate. Structured cases provide coverage, while informed exploratory testing can reveal additional problems. Effective UAT balances predefined validation with the practical insight of people who genuinely understand the workflow.
Developers and QA engineers generally support UAT rather than serving as its primary decision-makers. They may prepare the environment, resolve technical problems, explain system behavior, investigate defects, and deploy fixes. Their expertise is essential, but having only developers test whether their own solution meets user expectations defeats much of the purpose of acceptance testing. QA professionals can confirm that features operate according to specifications, while business representatives determine whether those specifications produce an acceptable operational result. Collaboration between these groups is therefore more valuable than trying to assign every testing responsibility to one team. Each participant brings a different perspective. UAT succeeds when technical specialists and business users communicate clearly about requirements, failures, risk, and expected outcomes.
Final UAT sign-off should come from someone with appropriate authority to accept the business risk associated with release. Depending on the organization, this person might be a product owner, department manager, project sponsor, client representative, or another accountable stakeholder. Testers provide evidence and report problems, but someone ultimately needs to decide whether the remaining issues are acceptable. That decision should consider severity, business impact, planned workarounds, launch timing, and operational readiness. A minor formatting issue may not justify delaying a release, while a defect that produces incorrect financial calculations almost certainly deserves greater attention. Establishing sign-off authority before testing prevents confusion at the end. Everyone should know who can formally approve the application and what information that person needs to make the decision.
UAT vs. QA, System Testing, and Other Testing Types
UAT and quality assurance are closely related, but they answer different questions. QA testing generally focuses on whether the software behaves according to technical and functional specifications. Testers may examine individual features, integrations, error conditions, data validation, performance, compatibility, and other areas throughout the development process. UAT occurs later and asks whether the complete solution supports the user’s actual business needs. A feature can therefore pass QA while failing UAT. For example, QA may confirm that a report accurately displays the fields described in the specification, while business users discover that the specification omitted a field required for a monthly process. Both testing stages are valuable because technical correctness and business acceptance are not the same thing.
Unit testing is much narrower than UAT because it checks small pieces of program logic, often automatically. Developers might create a unit test to verify that a calculation produces the correct output for a particular input. Thousands of these tests can run quickly every time software changes. UAT does not inspect such internal components individually. Instead, it evaluates complete workflows from the perspective of users. A payroll employee does not usually care which internal function calculates deductions as long as the final payroll process produces accurate results. Unit tests help developers build reliable code, while user acceptance tests help stakeholders validate business suitability. One cannot replace the other because they operate at very different levels of the software testing process.
Integration testing examines whether different components or systems communicate correctly. Modern applications frequently rely on databases, payment processors, identity services, external APIs, messaging platforms, and other systems. A feature may work independently yet fail when information must pass between two applications. Integration testing is designed to identify these connection problems before the complete business process reaches users. UAT may also expose integration failures, but that is not its primary technical purpose. By the time acceptance testing begins, major integrations should already have been validated technically. Business users then confirm that the complete connected workflow produces an acceptable outcome. Earlier integration testing therefore creates a more stable foundation for UAT and prevents business testers from spending their limited time discovering basic technical connection failures.
System testing evaluates the complete application as an integrated technical product. QA teams may test functionality, performance, security behavior, error handling, compatibility, and other system-wide characteristics. This stage can occur before UAT because the product should be reasonably stable before business users begin acceptance testing. Sending a severely defective application into UAT wastes time and creates frustration. Business testers should be validating real requirements rather than acting as the first people to discover obvious broken buttons and crashes. A useful readiness check can confirm that critical system testing has passed before UAT starts. The sequence is not identical in every development methodology, but the general principle remains valuable. Technical quality should reach an acceptable level before formal business acceptance is requested.
Regression testing checks whether recent changes have unintentionally broken features that previously worked. This becomes particularly important during UAT because developers may correct several acceptance defects before the release. A fix to one workflow can affect another part of the system, especially when both depend on shared code. QA teams often perform regression tests after these changes, while business users may rerun affected UAT scenarios. Automated regression suites can reduce the amount of manual technical testing needed. UAT and regression testing therefore complement each other during the final stages of development. Acceptance testers confirm that business problems have been resolved, while regression testing provides broader confidence that the fixes have not introduced unrelated failures elsewhere in the application.
How to Write Effective UAT Test Cases
A strong UAT test case begins with a clear business objective. Instead of focusing on isolated interface controls, describe what the user is trying to accomplish in real operational terms. “Verify that an account manager can create a customer and assign a service plan” is more meaningful than “click the Save button and check the response.” The business objective provides context for every step that follows. It also helps testers understand why the scenario matters instead of mechanically following instructions. Each test case should connect directly to a requirement, user story, process, or acceptance criterion whenever possible. This traceability makes coverage easier to review. Stakeholders can quickly identify which requirements have been validated and which still need testing before approval.
Preconditions should explain what must already be true before the test begins. A user may need a specific role, account status, product configuration, customer record, or system state before the workflow can be performed. Failing to define these conditions can create inconsistent results because different testers begin from different starting points. The test case should also identify the data required to complete the scenario. For example, an ecommerce acceptance test might specify a test customer, product, discount code, shipping destination, and payment method. Realistic data makes the workflow more representative of production use. However, sensitive personal information should be handled carefully. Test teams should use appropriate test datasets rather than unnecessarily exposing real customer or employee data in non-production environments.
Test steps should be detailed enough to create repeatable results without becoming so rigid that users cannot apply their business knowledge. Each step should describe an action in clear language and follow the natural sequence of the workflow. Avoid unnecessary technical jargon unless the intended tester is comfortable with it. Screens and buttons can be named when doing so reduces confusion, but the test should remain focused on the business outcome. For complicated processes, breaking one enormous scenario into several manageable cases can improve clarity. However, teams should still include some end-to-end tests that confirm complete workflows across multiple functions. Good UAT cases strike a balance between precision and realism. They guide testers while still allowing them to notice problems outside the narrow written instructions.
Expected results are one of the most important parts of a UAT test case because they define what success looks like. A statement such as “the order should work correctly” is too vague for reliable testing. Instead, the expected result might specify that the order receives a unique number, inventory decreases by the correct quantity, tax is calculated correctly, and a confirmation appears for the user. Clear expectations reduce disagreement between testers and developers when evaluating results. They also make defects easier to describe because the difference between expected and actual behavior is visible. Acceptance criteria should focus on observable outcomes wherever possible. If a result depends on a complex business rule, the test case should explain that rule sufficiently for the tester to validate it.
UAT cases should also include negative and exceptional scenarios where those situations have meaningful business consequences. Users do not always enter perfect information or follow the ideal sequence. They may submit incomplete forms, attempt actions without permission, process unusually large transactions, or encounter customers with uncommon account conditions. Testing selected exceptions helps confirm that the system responds safely and understandably. However, UAT should not attempt to duplicate every technical edge case already covered by QA. Business testers should concentrate on exceptions that real users are likely to encounter or that could create significant operational risk. Prioritization keeps the testing effort manageable. The strongest UAT suite covers normal workflows thoroughly while giving additional attention to high-impact business exceptions.
Common UAT Challenges and Mistakes
Starting UAT too early is one of the most common mistakes because an unstable application quickly turns acceptance testing into basic bug discovery. If testers encounter crashes, broken pages, missing features, and incomplete integrations immediately, they cannot focus on whether the business process is acceptable. Their confidence in the project can also decline before they experience the intended solution properly. Teams should establish entry criteria showing that major development and technical testing are sufficiently complete before UAT begins. Critical features should work, the environment should be available, and obvious blockers should already be resolved. This does not mean the system must be perfect. It means the product should be stable enough that business users can perform meaningful end-to-end validation rather than becoming unpaid extensions of the QA team.
Poorly defined requirements create another major UAT challenge. Testers cannot determine whether software satisfies the business need if nobody agrees on what that need actually is. Vague requirements such as “make reporting easy” leave too much room for interpretation. Developers may implement one solution while users expect something entirely different. Acceptance criteria should therefore be established before or during development rather than invented at the end of the project. When requirements change, those changes should be documented so the UAT team knows which behavior is current. Disagreements discovered during testing are sometimes requirement problems rather than software defects. Clear documentation helps teams distinguish between the two. UAT works best when everyone shares a reasonably consistent definition of the expected business outcome.
Selecting the wrong testers can weaken the entire acceptance process. Senior managers may have authority to approve a system but may not perform the daily tasks the application supports. Conversely, choosing only inexperienced users may miss complex workflows understood by subject matter experts. A balanced group should represent important roles and realistic operating conditions. Testers also need enough time to perform the work properly. Asking employees to complete dozens of cases while maintaining a full workload often results in rushed testing and incomplete documentation. Managers should treat UAT as genuine project work rather than an optional activity employees squeeze into spare moments. Dedicated time improves attention and encourages testers to explore problems instead of simply marking cases as passed to meet a deadline.
Weak defect reporting can also slow UAT dramatically. A tester may identify a genuine problem but provide too little information for the technical team to reproduce it. Reports should describe the test scenario, steps performed, actual result, expected result, relevant data, and business impact. Screenshots or recordings may help when the issue involves visual behavior or a complicated sequence. Defects should also be categorized by severity rather than treating every problem as equally urgent. A spelling error and a failure that prevents customer payments require different responses. Clear severity definitions help teams prioritize limited development time. Strong defect management keeps communication focused on resolving problems rather than repeatedly asking testers what happened. It also provides stakeholders with better information when deciding whether unresolved issues block release.
Treating UAT sign-off as a predetermined outcome is perhaps the most damaging mistake. If everyone knows the application will launch on Friday regardless of testing results, the acceptance process becomes ceremonial rather than meaningful. Stakeholders may feel pressured to approve unresolved risks simply because schedules have already been announced. A responsible release plan should allow serious findings to influence the decision. This does not mean every minor issue should postpone deployment indefinitely. Teams can accept known defects when their impact is understood and suitable workarounds exist. The important principle is that acceptance should be an informed decision rather than an automatic signature. UAT provides value only when organizations are willing to act on what the testing reveals.
Best Practices for Successful User Acceptance Testing
Begin UAT planning early rather than waiting until development is almost finished. Business representatives can help define acceptance criteria while requirements and workflows are still being designed. Early involvement reduces the likelihood that major misunderstandings survive until the final stage of the project. Teams can identify important user roles, prepare test scenarios, plan data requirements, and reserve time on testers’ schedules well in advance. The UAT environment can also be prepared before formal execution begins. This planning does not require writing every test case months before the software exists. Requirements will naturally evolve. However, establishing the testing strategy early ensures that acceptance is treated as a core project activity rather than an administrative task added immediately before launch.
Prioritize testing according to business risk. Critical revenue, financial, security, customer, regulatory, and operational workflows should receive more attention than rarely used cosmetic features. Teams can categorize scenarios according to impact and frequency so testers know where to spend their limited time. A payment failure affecting every customer deserves deeper testing than a minor alignment issue on an internal settings page. Risk-based prioritization becomes especially important when deadlines make exhaustive testing impossible. It also helps decision-makers interpret results because they can see whether the most important business processes have passed. Testing everything equally may sound thorough, but resources are always limited. Successful UAT directs effort toward the scenarios where failure would create the greatest consequences for users or the organization.
Communication should remain simple and consistent throughout the testing period. Testers need to know where test cases are stored, how to report defects, who can answer questions, and how quickly issues will be reviewed. Daily or regular status updates can highlight blockers without requiring long meetings. A shared dashboard can show passed cases, failed cases, unresolved defects, and overall progress. Developers should avoid dismissing user feedback simply because the software technically matches an earlier specification. At the same time, testers should distinguish personal preferences from genuine business requirements. Respectful discussion helps teams determine whether each finding requires a defect fix, design change, training update, or no action. UAT is fundamentally a collaboration between people with different but equally valuable perspectives.
Maintain realistic separation between the UAT environment and production. Business testers should be able to perform representative workflows without affecting live customers, financial records, or operational data. At the same time, the test environment should resemble production closely enough that results remain meaningful. Major differences in software versions, integrations, permissions, or configuration can make UAT results misleading. Teams should document known environmental differences so testers understand their impact. Test data should also represent realistic conditions while following appropriate privacy and security practices. If external systems cannot be connected during testing, suitable simulations or controlled alternatives may be necessary. A well-prepared environment makes UAT more about business validation and less about troubleshooting unrelated infrastructure problems.
Finally, define exit criteria and sign-off expectations before testing starts. The team should agree on what must happen before the release can be accepted, such as completion of all critical scenarios and resolution of high-severity defects. Rules can also describe which lower-priority issues may remain open with documented workarounds. Establishing these conditions in advance reduces emotional decision-making near the launch date. Stakeholders can compare actual testing results with agreed standards instead of negotiating from scratch under schedule pressure. The final sign-off should summarize the tested scope, remaining risks, unresolved issues, and approval decision. Good documentation does not need to become unnecessarily bureaucratic. Its purpose is to make responsibility and risk visible so everyone understands why the software is considered ready for real users.
Frequently Asked Questions About UAT
What does UAT stand for?
UAT stands for User Acceptance Testing. It is the process in which business users or other relevant stakeholders validate that software meets real user needs and is suitable for its intended purpose before release.
Who performs UAT testing?
UAT is usually performed by end users, subject matter experts, business representatives, product owners, customers, or operational stakeholders who understand the workflows being tested. Developers and QA engineers normally support the process but should not be the only people deciding whether the software is acceptable.
What is an example of UAT?
A company launching a new ecommerce system might ask business users to create products, place orders, apply discounts, process payments, generate invoices, and confirm that downstream records are correct. If these real-world scenarios work according to agreed requirements, the system can move closer to UAT approval.
What is the difference between UAT and QA?
QA focuses primarily on whether software works correctly according to technical and functional specifications, while UAT determines whether the finished solution meets actual business and user requirements. A feature can therefore pass QA but still fail UAT if it does not support the real workflow properly.
What happens after UAT is completed?
After successful UAT, authorized stakeholders usually provide sign-off and the project prepares for production deployment. If important defects remain, teams may fix and retest them before approval or formally accept lower-risk issues with documented plans for later resolution.
