Pricing
Discover UAT test scripts with templates, examples, and best practices to validate business requirements and streamline acceptance testing.
User Acceptance Testing (UAT) test scripts define exactly how business users validate that software meets requirements before production release. These scripts guide testers through workflows, specify expected outcomes, and document acceptance criteria in formats stakeholders understand. Traditional UAT scripting creates bottlenecks through manual documentation, technical barriers, and maintenance overhead. AI-native platforms now enable business users to create executable UAT tests in natural language, eliminating technical barriers while accelerating validation cycles by 80-90%.
UAT test scripts are step-by-step instructions that guide business users through validating software functionality, ensuring the system works as intended for real-world use cases. Unlike technical test scripts written by QA engineers, UAT scripts use business language, focus on end-user workflows, and verify that applications deliver expected business value.
Clear, concise summary of what the script validates. Written in business language that stakeholders understand without technical jargon.
Example: "Verify that customers can successfully complete purchases using credit card payment, receive order confirmation, and track shipment status."
Sequential instructions guiding testers through the workflow. Each step describes one action in simple, actionable language.
Explicit description of what should happen after each step. Defines success criteria clearly so testers know whether the step passed or failed.
Specific data values testers should use during execution. Eliminates ambiguity and ensures consistent test execution across different testers.
Example:
Space for testers to document what actually happened during execution. Captures deviations from expected results.
Clear indication of whether the test passed or failed based on comparison between expected and actual results.
Script ID: UAT-ORDER-001
Script Name: Complete Online Purchase with Credit Card
Priority: High
Related Requirement: US-123 (Customer Checkout)
Prerequisites: User account exists, products available in catalog
Test Scenario:
Verify that registered customers can add products to cart, complete checkout using credit card payment, and receive order confirmation.
Test Steps:
Step 1: Navigate to website homepage
Expected Result: Homepage loads with navigation menu and product categories
Step 2: Log in with username "customer@example.com" and password "TestPass123"
Expected Result: User successfully logs in, dashboard displays welcome message
Step 3: Search for product "Wireless Headphones"
Expected Result: Search results display matching products with images and prices
Step 4: Click "Add to Cart" for first product
Expected Result: Product added to cart, cart icon shows quantity (1)
Step 5: Click cart icon and select "Proceed to Checkout"
Expected Result: Checkout page loads with order summary and shipping form
Step 6: Enter shipping address:
- Address: 123 Main Street
- City: New York
- State: NY
- Zip: 10001
Expected Result: Form accepts address, no validation errors
Step 7: Select "Credit Card" as payment method
Expected Result: Credit card form appears with fields for card number, expiry, CVV
Step 8: Enter credit card details:
- Card Number: 4111 1111 1111 1111
- Expiry: 12/25
- CVV: 123
Expected Result: Form accepts card details without errors
Step 9: Click "Place Order" button
Expected Result: Order processes successfully, confirmation page displays with order number
Step 10: Check email inbox
Expected Result: Order confirmation email received within 2 minutes
Actual Results: [To be completed during execution]
Status: [Pass/Fail]
Notes: [Any observations or issues]
Tester Name: _______________
Date Executed: _______________
Template 2: BDD Style UAT Script
Feature: Online Purchase with Credit Card
Scenario: Customer completes purchase successfully
Given the customer is logged in as "customer@example.com"
And the shopping cart is empty
When the customer searches for "Wireless Headphones"
And the customer adds the first product to cart
And the customer proceeds to checkout
And the customer enters shipping address "123 Main St, New York, NY 10001"
And the customer selects credit card payment
And the customer enters card number "4111 1111 1111 1111"
And the customer clicks "Place Order"
Then the order confirmation page displays
And the order number is generated
And the confirmation email arrives within 2 minutes
And the order appears in customer's order history
Priority: High
Requirements: US-123, AC-45, AC-46
Prerequisites: Test user account active, test payment processor configured
Test Data: See attached data file
Template 3: Simplified Workflow Format
Test: Manager Approves Employee Leave Request
1. Manager logs into HR system
✓ Dashboard displays pending approvals
2. Manager clicks "Leave Requests" tab
✓ List shows all pending requests
3. Manager selects request from "John Smith" for "July 15-20"
✓ Request details display with dates, reason, and balance
4. Manager reviews leave balance (shows 10 days available)
✓ System confirms sufficient leave balance
5. Manager clicks "Approve" button
✓ Confirmation dialog appears
6. Manager clicks "Confirm Approval"
✓ Success message displays
✓ Request status changes to "Approved"
✓ Email notification sent to employee
7. Manager checks leave balance
✓ Balance reduces to 4 days (10 - 6 = 4)
Result: Pass/Fail _____
Tested by: _______________
Date: _______________
Write scripts in language business users understand. Avoid technical terms like "DOM elements," "API calls," or "database queries."
Wrong: "Instantiate session object and validate authentication token persistence"
Right: "Verify user remains logged in after closing and reopening browser"
UAT scripts should mirror how real users interact with the system. Test complete business processes, not isolated technical functions.
Wrong: Test individual form field validations separately
Right: Test complete user registration workflow including all form interactions
Eliminate ambiguity by providing specific values testers should use. Don't write "enter a valid email address"—write "enter customer@example.com."
Document everything testers need before starting. Don't assume knowledge of system state, test accounts, or configuration requirements.
Every test step needs explicit success criteria. Testers should never guess whether results are correct.
Vague: "System works correctly"
Specific: "Order confirmation page displays order number starting with 'ORD-', total amount $49.99, and estimated delivery date"
Each step should represent one action. Don't combine multiple actions into single steps.
Wrong: "Log in, search for product, add to cart, and proceed to checkout"
Right:
Business users spend hours executing repetitive UAT scripts manually. Each release cycle requires complete UAT re-execution, consuming valuable stakeholder time.
Typical Timeline: 500 UAT scripts × 10 minutes per script = 83 hours of manual testing per release
Traditional UAT often requires technical knowledge. Business users struggle with complex test tools, scripting languages, or technical environments.
UAT scripts require constant updates as applications evolve. Outdated scripts confuse testers, generate false failures, and waste effort.
Manual UAT execution limits test coverage. Teams prioritize high-risk scenarios, leaving lower-priority workflows untested due to time constraints.
Manual UAT happens late in development cycles. By the time business users validate functionality, fixing defects requires expensive rework.
Modern platforms enable business users to write UAT tests in plain English. No technical skills required. No scripting knowledge needed.
Traditional Approach:
driver.get("https://app.example.com");
driver.findElement(By.id("username")).sendKeys("user@example.com");
driver.findElement(By.id("password")).sendKeys("password123");
driver.findElement(By.cssSelector("button.login")).click();
AI-Native Approach:
1. Navigate to login page
2. Enter username "user@example.com"
3. Enter password "password123"
4. Click login button
5. Verify dashboard displays
The AI platform translates natural language into executable tests automatically. Business users create tests without learning programming languages.
Once created in natural language, UAT tests execute automatically. Business users trigger test suites with one click, receive results in minutes, and review failures without technical investigation.
Applications change constantly. Traditional UAT scripts break with every UI update. AI-powered platforms automatically adapt tests when applications evolve, eliminating maintenance burden.
Example: Developer changes button text from "Submit Order" to "Place Order"
Traditional script: Breaks, requires manual update to find new button text
AI-native script: Automatically adapts, finds button by context and function, continues working
Modern UAT isn't a final gate before production. It's continuous validation throughout development. Automated UAT tests run in CI/CD pipelines, providing instant feedback as developers build features.
UAT Script: Branch Manager Approves Personal Loan
Scenario: Manager reviews and approves loan application
Prerequisites:
- Test manager account: manager@testbank.com / ManagerPass123
- Pending loan application exists for applicant "Jane Smith"
- Applicant credit score: 720
- Loan amount requested: $25,000
Steps:
1. Manager logs into loan processing system
Expected: Dashboard displays pending applications count
2. Manager navigates to "Pending Applications" queue
Expected: List shows application from Jane Smith, submitted 2 days ago
3. Manager clicks on Jane Smith's application
Expected: Application details display:
- Personal information complete
- Credit score: 720
- Requested amount: $25,000
- Purpose: Home improvement
- Debt-to-income ratio: 28%
4. Manager reviews automated recommendation (shows "Approve")
Expected: System recommends approval based on credit score and DTI ratio
5. Manager clicks "View Credit Report"
Expected: Credit report opens showing no derogatory marks
6. Manager clicks "Approve Application" button
Expected: Interest rate auto-populates (5.2% for 720 credit score)
7. Manager confirms approval
Expected:
- Status changes to "Approved"
- Email notification sent to applicant
- Loan account created in system
- Application moves to "Approved" queue
Result: Pass
Tester: Sarah Johnson, Branch Operations Manager
Date: March 15, 2025
UAT Script: Patient Books Video Consultation
Feature: Patients schedule telehealth appointments online
Scenario: New patient books video consultation with cardiologist
Given patient is logged into patient portal
When patient searches for cardiologist availability
And patient selects Dr. Michael Chen
And patient chooses video consultation for next week Tuesday 2:00 PM
And patient confirms insurance coverage (Aetna PPO)
And patient enters reason for visit "Follow-up on blood pressure"
Then appointment confirmation displays
And confirmation email arrives
And appointment appears in patient's calendar
And clinic receives booking notification
Test Data:
- Patient: test.patient@email.com / PatientPass123
- Insurance: Aetna PPO (ID: 123456789)
- Specialty: Cardiology
- Provider: Dr. Michael Chen
- Appointment Type: Video Consultation
- Date: Next available Tuesday, 2:00 PM slot
Expected Confirmations:
- Appointment ID generated
- Video link provided 24 hours before appointment
- Insurance verification completed
- Pre-visit questionnaire sent to patient email
UAT Script: Customer Initiates Online Return
Test ID: UAT-RET-001
Test: Customer returns unwanted item purchased online
Setup: Order #12345 completed 5 days ago, delivered 2 days ago
1. Customer logs into account
✓ Order history displays recent orders
2. Customer clicks order #12345
✓ Order details show all items, delivery status "Delivered"
3. Customer clicks "Return Item" for Wireless Mouse
✓ Return reasons display (Wrong item, Damaged, Changed mind, etc.)
4. Customer selects "Changed mind" and enters notes "Prefer different color"
✓ Return label generation option appears
5. Customer requests prepaid return label
✓ PDF label generates and downloads automatically
6. Customer confirms return initiation
✓ Return authorization number displays (RET-12345-01)
✓ Email confirmation received with return instructions
✓ Order status updates to "Return Initiated"
✓ Refund timeline displayed (7-10 business days after receipt)
Pass Criteria:
- Return authorization created in system
- Customer receives return label and instructions
- Refund process queued for warehouse confirmation
- Customer notified of all return steps
Status: Pass
Executed by: Customer Service Team Lead
Date: March 15, 2025
Structure UAT scripts around business capabilities, not technical architecture. Group scripts by customer workflows, business processes, or user roles.
Good Organization:
Link every UAT script to specific requirements, user stories, or acceptance criteria. This traceability validates requirements coverage and supports compliance.
Store scripts in version control systems alongside code. Track changes, enable collaboration, and maintain history of script evolution.
Schedule periodic UAT script reviews. Remove obsolete scripts, update test data, verify expected results remain accurate, and add scripts for new functionality.
Business users should own UAT scripts. QA teams facilitate creation and automation, but business stakeholders define what success means and validate outcomes.
Manual UAT execution doesn't scale. Automate repetitive UAT scripts, reserve manual testing for exploratory validation and usability assessment.
Virtuoso QA eliminates traditional UAT barriers through AI-native test capabilities that enable business users to create and execute UAT tests without technical expertise.
Business users describe UAT scenarios in plain English using Virtuoso QA's intuitive interface. The platform translates natural language into executable tests automatically.
Example: Business user writes "Verify manager can approve leave requests"
Virtuoso QA generates:
As business users create UAT scripts, Virtuoso QA provides instant feedback. The platform validates test steps against the actual application, highlighting issues immediately rather than during execution.
Virtuoso QA's StepIQ feature analyzes applications and suggests test steps automatically. Business users describe what to test, and StepIQ generates complete UAT scenarios including validations and expected results.
Build UAT test libraries from reusable components. Common workflows like login, navigation, or data entry become composable checkpoints that business users assemble into complete UAT scenarios.
Example:
When applications change, Virtuoso QA automatically updates UAT tests. UI modifications don't break tests. Business users never maintain scripts manually. This eliminates 81% of UAT maintenance effort.
Model complex enterprise workflows once and execute UAT validation across multi-step processes involving multiple systems, data sources, and integrations.
When UAT tests fail, Virtuoso QA's AI analyzes failures and identifies root causes automatically. Business users receive clear explanations of what broke and why, without technical investigation.
Organizations using Virtuoso QA for UAT report:
Create UAT scripts during requirements definition or sprint planning, before development begins. Writing scripts early clarifies acceptance criteria, identifies gaps in requirements, and enables test-driven development. Update scripts as requirements evolve during development.
Coverage depends on application complexity and business risk. Start with critical user workflows that deliver core business value. Typical enterprise applications maintain 200-1,000 UAT scripts covering essential business processes. Focus on quality over quantity. Well-designed scripts covering critical workflows provide more value than exhaustive scripts for edge cases.
Yes. Modern AI-native platforms enable UAT script automation without programming. Business users write scripts in natural language, and platforms execute them automatically. Traditional automation required technical expertise. AI-native approaches democratize automation for business users.
Choose formats your business users understand and can execute easily. Simple workflow formats work for straightforward scenarios. BDD style (Given-When-Then) works for complex scenarios with multiple conditions. Standardize format across organization for consistency.
Update scripts when requirements change, functionality evolves, or scripts become outdated. With AI-powered platforms, updates happen automatically through self-healing. With manual scripts, review quarterly or after major releases to ensure accuracy.
Failed UAT scripts indicate the application doesn't meet business requirements. Investigate root causes, determine whether failures represent real defects or incorrect scripts, and fix issues before production release. UAT failures block releases until business users accept resolution.
Track defect detection rates (defects found in UAT vs production), requirements coverage (percentage of requirements with UAT scripts), execution efficiency (time to complete UAT cycle), and business user confidence (stakeholder satisfaction with validation process).
