Releases outgrow manual regression
Every sprint adds features to recheck, but the time before a release stays the same.
[ Why web automation testing matters ]
Web automation testing uses code to drive real browsers through your application the way users do, clicking, typing and submitting, and checks every result. Checks your team used to repeat by hand become a suite that runs on every build.
It doesn’t replace testers. It takes predictable, repeated checks off their plate, so they can spend their time on exploratory, usability and new-feature testing, where people find what scripts miss.
Part of our automation testing services →
The problems it solves
Every sprint adds features to recheck, but the time before a release stays the same.
Users arrive on browser, OS and screen combinations nobody can recheck by hand every release.
Caught on the merge, a defect is a quick fix. Caught in production, it means hotfixes, support tickets and lost trust.
A style tweak or API change breaks a page no one opened this release.
[ How it helps your product ]
Five outcomes product and engineering leads ask us about, and how a well-built suite delivers each one.
Smoke checks finish inside a pipeline run and full regression runs unattended, so developers hear about a break while the change is still fresh.
More journeys, browsers, viewports and data combinations than a manual pass can cover in the same window.
The same checks run the same way every time, so critical flows are verified before every release, not just the big ones.
Building the suite is an upfront investment. Each later run costs little, and manual effort moves to work only people can do.
Stable locators, proper waits and isolated test data keep failures meaningful, so a red build means a real problem.
| Manual-only regression | Automated web regression | |
|---|---|---|
| Regression cycle | Repeated by hand before each release | Runs unattended on merge, nightly or on demand |
| Browser coverage | Usually one or two browsers per cycle | The agreed browser matrix, in parallel |
| Consistency | Varies with time pressure and who is testing | Same steps and checks on every run |
| Feedback to developers | Often after the change has merged | Inside the pipeline run |
| Evidence | Notes and screenshots, where someone captured them | Report with logs and screenshots for each failure |
| Where testers spend time | Repeating known checks | Exploratory, usability and new-feature testing |
Honest note: automation suits stable, repeatable checks. New features, usability and exploratory work stay with people, and we’ll tell you which is which.
For Drop Delivery, 1,200+ automated Selenium and API checks run on each regression cycle, with about 75% less manual regression time per release.
[ Types of web automation we deliver ]
Most teams start with regression, smoke and end-to-end journeys, then add layers as the suite proves itself. Each card shows what we cover and when it pays off.
Each feature checked against the behaviour it should have: inputs, validation, business rules and the messages users see.
The checks your team repeats before every release, turned into a suite that runs without anyone sitting over it.
A short, fast suite that tells you whether a build is worth testing further, plus a focused sanity pass after hotfixes.
Whole paths through your product, from first page to confirmation, including the services and integrations behind them.
The same journeys run in parallel on the browsers and versions your analytics show your users on.
Layouts and touch journeys checked at real breakpoints, and on real devices through BrowserStack, Sauce Labs or LambdaTest.
Screenshots of key pages compared build to build, so unintended layout and styling changes are flagged for a person to review.
API calls set up data and check backend state, so UI tests stay short and a failure points to the layer that broke.
Suites wired into your pipeline with the right tests at each stage: smoke on every merge, full regression nightly or before release.
One scenario run against many data sets, or written in Gherkin so product owners can read and review what’s being tested.
Automated accessibility scans run inside your journeys, catching common WCAG issues on every build before a manual audit.
We take over existing suites, fix flaky tests at the cause, and move suites between frameworks when there’s a clear reason to.
[ How you benefit from working with us ]
Beyond the tests themselves: how we work with your team, and what you keep when the engagement ends.
We work across Selenium, Playwright, Cypress, WebdriverIO and more, so we recommend what fits your stack and team, and explain why.
Frameworks are written in your repository, in your team’s language, with documentation. No proprietary layer, no lock-in.
Page objects, shared helpers and code review on every change keep the suite readable as it grows.
Our manual testers explore new features while automation covers regression, so nothing falls between two vendors.
A report after every run, defects logged in Jira with steps and evidence, and results in TestRail if you use it.
A fixed-scope build, managed testing, a dedicated team or an engineer in your sprints. See all six.
[ Technology & tool stack ]
We pick each layer with your team, based on your language, your browsers and the pipeline you already run. On the right is an example layout.
tests/ smoke/ health.spec.ts e2e/ signup.spec.ts checkout.spec.ts visual/ home.visual.spec.ts a11y/ checkout.a11y.spec.ts pages/ LoginPage.ts CheckoutPage.ts api/ orders.client.ts data/ users.json products.csv config/ staging.env production.env playwright.config.ts Dockerfile .github/workflows/web-tests.yml
Example only. Your layout follows your framework, language and team.
Frameworks, and where each fits best
Java and C# teams, large existing suites, and the widest range of browsers and versions.
Selenium testing services →New projects that need Chromium, Firefox and WebKit, fast parallel runs and built-in tracing.
Playwright testing services →JavaScript front-end teams who want fast feedback while they develop, plus component tests.
Cypress testing services →JavaScript and TypeScript teams who want WebDriver-based tests with a modern runner.
Keyword-driven tests that non-developers can read and extend.
Teams that want a low-code tool with scripting available when they need it.
Chrome-focused scripted checks, screenshots and PDF output.
JavaScript and TypeScript teams who want browser tests without WebDriver setup.
Comparing tools in depth? See our tool-agnostic testing services →
[ How we work ]
You see working tests in your pipeline early, and you approve each stage before we build on it.
We review your app, release cycle, current tests and pipeline, and pick the journeys worth automating first.
Framework, language, structure, test data, execution and reporting agreed with your team.
A first set of real tests running in your CI, so you can judge the approach before we scale.
Highest-risk journeys first, then more browsers, devices, data and checks.
Suites run on agreed triggers. We triage failures and log real defects in your tracker.
Flaky tests fixed at the cause, the suite kept in step with your product, and a walkthrough for your team.
[ Deliverables ]
Everything below is yours to keep, whether we stay on to run the suite or hand it over to your team.
What to automate, in what order and with which framework, and what should stay manual.
Committed to your repo, under your access controls, in your team’s language.
Which journeys, browsers and devices are covered, and what comes next.
Jobs and quality gates in Jenkins, GitHub Actions, GitLab CI, Azure DevOps or CircleCI.
Allure or Extent reports with logs and screenshots for every failure.
Steps to reproduce, evidence and severity, logged in Jira.
Each unstable test, its cause and the fix, so suite health stays visible.
Setup guide, conventions and a live walkthrough so your team can run and extend the suite.
[ Case Studies ]
Three web products where automated regression replaced repeated manual checks. Each links to the full write-up.
[ Ways to work ]
A new suite, a rescue of an existing one, ongoing runs or an engineer in your team.
Not sure which fits? Find your model in four questions, compare all six or estimate your cost.
[ FAQ ]
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[ Contact us ]
✓ Free one-week POC✓ NDA before access✓ A QA lead replies the same day
[ Keep exploring ]