QA That Catches Bugs Before Customers Do
We build test strategies, automation suites, and QA processes that actually catch the bugs that matter — the ones that cost you a customer, a refund, a 1-star review, or a 3am pager. Manual exploration where humans win, automation where machines win, performance and accessibility where they belong, and a CI pipeline that goes red on the right things. No script-monkey timesheets. No 800-test suites that everyone ignores.
You don't need more test cases.
You need fewer escapes to production.
Most QA teams measure the wrong things: number of test cases written, hours logged, tickets opened. None of that matters if the bug that breaks checkout still ships on Friday at 5pm. We measure the things that hurt: escape rate, time-to-detect, flake rate, MTTR after release. The job isn\u2019t to write tests — the job is to stop bad releases.
Critical bugs keep escaping to production
The test suite is green. The release went out. Two hours later a customer DMs your CEO about checkout being broken. Nobody can tell you which test case should have caught it because the suite tests the wrong things.
Half your CI runs are flaky
The build fails. The engineer hits "rerun". It passes. Nobody investigates. Real failures hide inside the noise. Trust in the test suite drops to zero, and so does its value.
QA is the bottleneck for every release
A two-week sprint ends with a one-week regression cycle done manually by a tired team. By the time it ships the requirements have changed twice. You're paying for QA and getting slower releases.
What You Actually Get
No vague deliverables. Here's exactly what lands in your hands.
A test strategy that fits your product
Where humans test, where machines test, what gets unit-tested vs integration vs E2E, what's acceptable flake, what blocks a release. Written in plain language, not ISTQB jargon.
Automation that survives a refactor
Page-object or component-based, stable selectors, sane waits, parallel runs, sub-10-minute feedback. Tests that won't break the moment a div gets renamed.
A quality dashboard with real numbers
Escape rate, flake rate, coverage by feature (not just code), MTTR, time-to-detect. The metrics that tell you whether QA is actually working.
A release gate your team trusts
Green means ship. Red means stop. No "ignore that test, it's flaky." No "ship anyway, QA will fix later." Trust is the deliverable.
A Real Quality Engineering Team
Quality is six disciplines, not one. Roles you get on every Pillai Infotech QA engagement.
QA Lead / Test Strategist
ISTQB-certified, but more importantly has shipped products. Designs the strategy, picks the right level for each test, and knows when to stop testing.
Test Automation Engineer
Playwright, Cypress, Appium, RestAssured. Builds the framework, the helpers, the fixtures, and the CI integration. Cares deeply about test stability.
Exploratory Tester
A human who breaks things on purpose. Finds the bugs your acceptance criteria didn't mention. The one who notices the weird thing on hover that turns into a P0.
Performance Engineer
k6, JMeter, Locust, Lighthouse. Runs the load tests, finds the N+1, spots the slow endpoint, sets the budgets, watches them in CI.
Accessibility Specialist
WCAG 2.2 AA, axe-core, screen-reader testing, keyboard-only flows. Catches the issues that turn into lawsuits and angry tweets.
Security-Aware QA
Knows the OWASP Top 10 well enough to find the obvious holes in test, before they reach pentest or production. Bridge between QA and AppSec.
You See Everything. In Real Time.
Every Pillai Infotech project comes with a dedicated client dashboard. Kanban boards, live logs, test results, meeting notes — it's all visible the moment it happens. No status-report theatre, no "we'll get back to you", no surprises at the demo. You work with us like you work with your own team.
Kanban Board, Live
Every epic, every story, every task — visible on your dashboard. Drag, comment, reprioritize. It's the same board our team works from.
Documented Everything
Every decision, spec, API contract, and architecture diagram lives in the dashboard. Searchable, versioned, linked to the tasks they shaped.
Live Logs & Test Results
Build logs, deployment logs, test suite results — streamed to your dashboard the moment they run. You never have to ask "did the build pass?"
Meetings → Tasks, Automatically
Every meeting is recorded, transcribed, and every action point is auto-converted into a tracked task assigned to the right person. Nothing gets lost between calls.
Sprint Burndown & Velocity
See exactly how much work is done, how much remains, and our velocity over time. If a sprint is slipping, you see it the same moment we do.
Comment, Approve, Decide — In-Place
Comment on any task, approve designs, sign off on specs, and raise blockers directly in the dashboard. Everything tied to the work, not buried in email threads.
QA Engagements We Know How to Deliver
From a one-time release rescue to a long-term embedded squad. We pick the shape to match the chaos.
🌐 Web app E2E automation
Playwright or Cypress, page-object architecture, parallelization, CI integration, visual regression. From zero to 200 reliable tests in 6 weeks.
📱 Mobile app testing
Appium, Detox, XCUITest, Espresso. Real device labs, not just simulators. iOS and Android, tablets, OS-version matrix, network conditions.
🔌 API & contract testing
Postman / RestAssured / Pact. Schema validation, contract tests, negative cases, auth flows, idempotency, rate limit behaviour. Where the bugs actually live.
⚡ Performance & load testing
k6 / JMeter / Locust. Realistic user journeys, ramp profiles, distributed runs, performance budgets enforced in CI. Find the N+1 before Black Friday does.
♿ Accessibility audits
WCAG 2.2 AA audit, axe-core in CI, screen-reader walkthroughs, keyboard-nav reviews, written remediation report with severity and effort.
🚒 Release rescue engagements
You're three weeks from launch and quality is on fire. We come in, triage the backlog, ship the must-fixes, and stand up enough automation to ship safely.
The QA Stack We Use
Tools earn their place by stability and signal-to-noise. Here's what we reach for.
Web Automation
Mobile Automation
API & Contract
Performance & A11y
A Six-Stage QA Delivery Process
Built around the reality that QA done late is QA done wrong.
Quality Audit
Two-week read-only audit of your current state: existing tests, escape history, flake stats, CI signal, team practices. We tell you what's working, what isn't, and where the leverage is.
Test Strategy & Pyramid
What gets unit-tested, what gets integration-tested, what runs in E2E, what stays manual. Coverage targets by feature, not by line. Written, agreed, signed off.
Framework & Foundation
Pick the tools, build the framework, wire it into CI, write the first 20 tests as patterns the team can copy. We optimize for stability before we optimize for coverage.
Coverage Build-Out
Sprint by sprint, feature by feature. New code ships with tests; legacy code gets backfilled where the risk is highest. We track flake rate every week and fix it ruthlessly.
Release Gates & Dashboards
Pipelines that block bad releases, dashboards that show quality trends, alerting on regressions. The team learns to trust green and respect red.
Handover & Coaching
Pair on real tickets, review PRs, train your engineers to extend the framework. We're not building a black box only we can maintain. We leave it owned.
Three Ways to Engage
QA work comes in different shapes. Pick the one that matches your stage and pain.
Quality Audit & Strategy
Two-week fixed engagement to audit your QA, identify the leverage points, and deliver a strategy you can execute with or without us.
- Escape + flake analysis
- Written strategy & roadmap
- Tooling recommendations
Automation Foundation Build
Eight-to-twelve-week program to stand up the automation framework, ship the first 100–200 reliable tests, and wire everything into CI.
- Framework + CI integration
- Reliable test suite, not flaky
- 30-day stability warranty
Embedded QA Squad
A dedicated QA lead + automation engineer + manual tester working alongside your team release after release.
- QA lead + auto + manual
- Monthly retainer
- Best for: continuous delivery teams
Honest Answers to QA Reality Questions
The questions every smart buyer asks before signing. Here's what we tell them.
Should we automate everything?
No. Automation wins for regression, repeatable flows, and anything you'll run more than ten times. Manual / exploratory wins for new features, weird edge cases, and the kind of "this just feels wrong" bugs no script will ever flag. The right answer is usually 70/30 or 60/40 — and we'll tell you which mix fits your product.
How long until automation pays off?
For a focused E2E suite on a stable product: 6–10 weeks to a payoff inflection. After that the suite saves more hours than it costs to maintain. If your product is changing weekly and selectors break daily, automation pays off slower — and we'll tell you to fix the test-IDs and component structure first.
Why is our test suite so flaky?
Usually a combination of: bad waits (sleep instead of explicit), shared state between tests, brittle selectors (XPath on changing DOM), test data that mutates, and parallelism without isolation. Flake is fixable. We treat it as a bug class, not a fact of life. Our target is under 1% flake on E2E.
Cypress, Playwright, or Selenium?
Playwright for almost everything new — better parallelism, multi-browser, multi-tab, network interception, faster than Cypress for large suites. Cypress if your team already has it and it's working. Selenium only for legacy or where you need real Safari and BrowserStack/SauceLabs is mandatory. We'll recommend the one that fits your stack and team — not the one we like best.
Do you do load and performance testing?
Yes — k6 is our default, JMeter or Locust where the client already has them. We model realistic user journeys, run distributed if needed, tie results to performance budgets, and wire the budgets into CI so regressions are caught before the customer is.
What about accessibility?
WCAG 2.2 AA is the bar. axe-core in CI for the easy 30%, manual screen-reader and keyboard testing for the hard 70% that automation can't catch. We deliver an audit report with severity, effort, and a remediation plan. Most clients are surprised how much is broken — and how quickly the easy stuff can be fixed.
How do you measure QA success?
Escape rate (bugs found by customers vs by us), flake rate, time-to-detect, MTTR after release, and release confidence. Not test count. Not hours logged. Not "tickets closed". We publish these on a dashboard from day one and the team holds itself to them.
Can you work inside our existing tools?
Yes. Jira, Linear, GitHub, GitLab, TestRail, Xray, Zephyr, Azure DevOps, whatever you use. We don't bring our own ticketing system into your house. We extend what you have.
What if we don't have any tests today?
Most clients don't. We start with an audit, then a thin slice of automation around your highest-risk flows (auth, checkout, core CRUD), then expand sprint by sprint. You don't need 10,000 tests — you need the right 200.
Can you sign an NDA before we share details?
Always. NDA before the first call. Access to your codebase only after scoping and written approval. Standard.