1. What Is a QA Automation Portfolio?
A QA automation portfolio is a collection of projects that demonstrates your software testing and automation skills.
- 1. What Is a QA Automation Portfolio?
- 2. Why Do QA Engineers Need a Portfolio?
- 1. Demonstrate practical skills
- 2. Build confidence for interviews
- 3. Support your career transition
- 4. Improve your GitHub profile
- 5. Support freelancing opportunities
- 3. What Skills Should You Learn Before Building a Portfolio?
- 4. How to Build a QA Automation Portfolio Step by Step
- Step 1: Choose one automation tool
- Step 2: Select a practice website
- Step 3: Understand the application before writing code
- Step 4: Write test cases
- Step 5: Convert test cases into automation scripts
- Step 6: Add negative and edge test scenarios
- Step 7: Add API testing
- Step 8: Upload your project to GitHub
- Step 9: Create a README file
- Step 10: Review and improve your project
Think of it as a practical demonstration of your knowledge.
For example, suppose you are applying for a QA Automation Engineer position. Your resume says that you know Playwright, TypeScript, and API testing.
The recruiter may ask:
- Have you created automation scripts?
- Can you write test cases for a login page?
- Do you know how to test APIs?
- Can you identify and report bugs?
- Can you manage test code using GitHub?
Instead of only saying yes, you can share your portfolio to demonstrate your work.
Your portfolio might contain:
- Automated login test scripts.
- Test cases for an e-commerce website.
- API testing collections.
- Bug reports with screenshots.
- Test execution reports.
- A README file explaining your project.
Remember: A good QA automation portfolio is not about having the maximum number of projects. It is about showing that you understand testing and can apply your knowledge to practical problems.
2. Why Do QA Engineers Need a Portfolio?
A portfolio can be useful for freshers, manual testers, experienced QA engineers, and professionals switching to automation testing.
Here are some important benefits.
1. Demonstrate practical skills
Watching tutorials is helpful, but writing and maintaining your own automation scripts gives you practical experience.
Your portfolio allows recruiters to review your work.
2. Build confidence for interviews
When you create a project yourself, you become familiar with the complete testing process.
You can explain how you selected test scenarios, wrote scripts, handled failures, and reported results.
3. Support your career transition
If you are a manual tester learning automation, your portfolio can demonstrate your progress even if your current job does not provide opportunities to work on automation projects.
4. Improve your GitHub profile
A well-organized GitHub profile can showcase your code, documentation, and project history.
5. Support freelancing opportunities
If you want to offer software testing services on freelance platforms, a portfolio can help potential clients understand your capabilities before hiring you.
However, a portfolio does not guarantee a job or a client. It is one way to strengthen your profile alongside your resume, communication skills, and interview preparation.
3. What Skills Should You Learn Before Building a Portfolio?
You do not need to learn every automation tool before starting your portfolio.
Begin with the fundamentals and choose one primary automation tool.
Essential skills for beginners
| Skill | What you should know |
|---|---|
| Manual testing | Test cases, test scenarios, bug reporting |
| Programming | Variables, conditions, functions, and loops |
| Automation tool | Playwright, Selenium, or Cypress |
| Locators | Finding buttons, text fields, and other elements |
| Assertions | Verifying whether actual results match expected results |
| API testing | Requests, response codes, and response validation |
| Git and GitHub | Saving code and sharing projects |
| Documentation | Writing a clear README file and test summary |
If you are starting with Playwright and TypeScript, focus on these topics first:
- Basic TypeScript.
- Playwright installation and setup.
- Locators and browser actions.
- Assertions.
- Test organization.
- Screenshots and failure debugging.
- Running tests and reviewing reports.
- Git and GitHub basics.
You can start with one small project before learning advanced concepts.
4. How to Build a QA Automation Portfolio Step by Step
Follow these steps to create your first portfolio.
Step 1: Choose one automation tool
Do not try to learn Playwright, Selenium, Cypress, and every other tool at the same time.
Choose one tool and build a project around it.
For example:
- Playwright with TypeScript.
- Selenium with Java.
- Cypress with JavaScript.
If you are a beginner who wants to learn modern browser automation, Playwright with TypeScript is a practical starting option.
Step 2: Select a practice website
Choose a public demo website that allows you to practice testing.
For example, you can explore the following sites:
- SauceDemo — useful for practicing login and e-commerce workflows.
- The Internet — useful for practicing checkboxes, dropdowns, alerts, and other web elements.
- Restful Booker — useful for learning API testing.
Check each website’s current availability and usage terms before creating or running tests.
For your first project, select a login page or a simple e-commerce workflow.
Step 3: Understand the application before writing code
Before writing automation scripts, explore the application manually.
For a login page, identify the following scenarios:
- Login with valid credentials.
- Login with an incorrect password.
- Submit the form with an empty username.
- Submit the form with an empty password.
- Verify the error message.
- Verify the behavior after a successful login.
Write these scenarios in a spreadsheet or test management document.
This step demonstrates that you understand testing, rather than simply copying code.
Step 4: Write test cases
Create a test case document with columns such as:
- Test Case ID
- Test Scenario
- Preconditions
- Test Steps
- Test Data
- Expected Result
- Actual Result
- Status
Example:
| Test Case ID | Scenario | Expected Result |
|---|---|---|
| TC_LOGIN_001 | Login with valid credentials | User reaches the expected page |
| TC_LOGIN_002 | Login with an incorrect password | Login is rejected |
| TC_LOGIN_003 | Submit an empty login form | Appropriate validation appears |
| TC_LOGIN_004 | Enter an invalid username | Login is rejected |
Use the application’s actual behavior to define and verify the expected results.
Step 5: Convert test cases into automation scripts
Now automate the scenarios using your selected tool.
For example, below is a simple Playwright test written in TypeScript.
import { test, expect } from '@playwright/test';
test('verify login page title', async ({ page }) => {
await page.goto('https://www.saucedemo.com/');
await expect(page).toHaveTitle(/Swag Labs/);
});
What does this code do?
test()defines a test case.page.goto()opens the website.expect()checks whether the expected condition is true.toHaveTitle()verifies the page title.
This is a simple example to help you understand the structure of an automation test. You should run it and confirm the result before adding it to your portfolio.
As you improve, add login tests, error validation, product selection, cart functionality, and checkout scenarios.
Step 6: Add negative and edge test scenarios
A strong portfolio should not contain only successful test cases.
Include negative and edge scenarios to demonstrate your understanding of software quality.
For example:
- Incorrect login credentials.
- Missing required fields.
- Invalid input formats.
- Unexpected error messages.
- Repeated form submissions.
- Session behavior after logout.
- Handling of unavailable pages or elements.
Only include scenarios that make sense for the application you are testing.
Step 7: Add API testing
Once you are comfortable with UI automation, create a separate API testing project or extend your portfolio with API tests.
Your project can demonstrate:
- GET requests.
- POST requests.
- PUT or PATCH requests.
- DELETE requests.
- Status code validation.
- Response body validation.
- Required field validation.
- Negative API scenarios.
You can use Postman for API testing and, later, automate API checks using Playwright’s API request features.
Example API test ideas include checking whether a valid request returns the expected status code and whether a response contains the required fields.
Never publish real API keys, passwords, access tokens, or confidential test data in a public repository.
Step 8: Upload your project to GitHub
GitHub is a platform where you can store and share your code.
Create a free account at GitHub.
Then:
- Create a new repository.
- Give it a meaningful name, such as
playwright-typescript-login-tests. - Add your automation project files.
- Create a README file.
- Explain how to install dependencies and run the tests.
- Commit and push your changes.
- Check that the repository is publicly accessible if you want recruiters to view it.
Avoid uploading unnecessary files, generated reports containing sensitive information, or confidential project data from your workplace.
Step 9: Create a README file
Your README file is one of the most important parts of your portfolio.
It explains what the project does and how someone else can run it.
Include the following sections:
Project Title: Login Automation Using Playwright and TypeScript
Project Overview: This project demonstrates automated testing of a login workflow using Playwright and TypeScript.
Tools Used:
- Playwright
- TypeScript
- Node.js
- GitHub
Test Scenarios:
- Valid login
- Invalid login
- Empty username
- Empty password
- Error message validation
Installation and Execution: Explain how to install dependencies and run the tests using the commands appropriate for your project.
Test Results: Add genuine test execution results or screenshots.
Learning Outcomes: Describe what you learned while building the project.
Keep the README simple, clear, and easy to follow.
Step 10: Review and improve your project
Before sharing your portfolio, check the following:
- Do the tests run successfully?
- Are the test names meaningful?
- Are the locators reliable?
- Are assertions included?
- Is the code readable?
- Are failures easy to investigate?
- Does the README explain how to run the project?
- Are secrets and confidential information excluded?
If you discover a problem, fix it and update your documentation.
You do not need a perfect portfolio on day one. Improve it as your knowledge grows.