Julienne Neh-Awah’s Post

You never really know everything about your product. No matter how much testing you do, you’re always working with incomplete information. Even the best test plans have gaps. They give confidence - not certainty. So be honest about what you know. Every time you report on quality - whether it’s a bug report, test results, or a release thumbs-up - don’t just say what passed. Share the full picture: - What you actually tested - What you skipped or couldn’t test - What assumptions did you have to make - What could still go wrong Because your job isn’t to guarantee perfection. It’s to paint an honest picture of what you know - and where the blind spots are. You’re not there to prove everything works. You’re there to help your team understand what they’re really dealing with. The goal isn’t false confidence, it's informed decisions. #automationtesting #testautomation #softwaredevelopment #softwaretesting #softwareengineering

🚀 From Bug Hunter to Business Protector: How Testers Can Safeguard Critical Business Rules 💥 Finding bugs in the UI is satisfying… but nothing feels more powerful than catching a business rule going wrong, before it causes a real business nightmare. 🤔 Imagine this: A customer tries to get a discount they’re not eligible for. Or worse, a system approves a loan when it shouldn’t. That’s not just a bug… that’s a business logic failure that can cost millions and damage trust. So… how do great testers catch these invisible but critical issues? 👉 1. Get curious about the “why” Don’t just read the specs. Ask questions. “What’s the purpose of this rule? What problem does it solve in the real world?” Talk to business people, product owners… understand the real-life scenarios behind the logic. 👉 2. Think in real examples, not abstract steps It’s not about “Click A → Click B → Expect X.” It’s about asking: “If a customer is under 18, can they really purchase alcohol?” “I should see an error, right?” Build test cases around these clear “if-this-then-that” situations. 👉 3. Explore, don’t just automate Automation is awesome… until your business rule changes next week and your fragile scripts break. Exploratory testing helps you think outside the script, dig into edge cases, and discover rule interactions no one anticipated. 👉 4. Test the test data Garbage in → Garbage out. Your test data must reflect real-world situations. Don’t use random numbers, use meaningful data that puts the rule to the test. 👉 5. Always validate after every rule change Rules evolve… business priorities shift. When a rule changes, treat it like you’re reinventing the wheel—not just running old tests. Look for ripple effects everywhere. 🚀 Here’s the secret: A great tester doesn’t just test features… they test purpose. We aren’t just clicking buttons; we’re safeguarding the business itself. ❤️ The next time you find a rule-breaking bug before it hits production, take a moment to celebrate, because you just saved your company from a potential disaster. 💬 What’s the toughest business rule you’ve ever had to test? Let’s swap stories 👇 #SoftwareTesting #QualityAssurance #BusinessRules #TestAutomation #ExploratoryTesting #Agile #DevOps #CareerGrowth #TechCommunity

"𝗡𝗼𝘁𝗵𝗶𝗻𝗴 𝗳𝗲𝗲𝗹𝘀 𝘄𝗼𝗿𝘀𝗲 𝘁𝗵𝗮𝗻 𝗮 𝘁𝗲𝘀𝘁 𝘀𝘂𝗶𝘁𝗲 𝗳𝗮𝗶𝗹𝗶𝗻𝗴 𝗶𝗻 𝗳𝗿𝗼𝗻𝘁 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗺𝗮𝗻𝗮𝗴𝗲𝗿… 𝘄𝗵𝗲𝗻 𝘆𝗼𝘂 𝗸𝗻𝗼𝘄 𝘁𝗵𝗲 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗶𝘁𝘀𝗲𝗹𝗳 𝗶𝘀𝗻’𝘁 𝗯𝗿𝗼𝗸𝗲𝗻." In my initial automation days, I was running an automated suite in front of my manager. The scripts had been working fine for days. But on that day, the worst thing happened - a few of them turned flaky. Tests failed not because the application was broken, but because the automation wasn’t stable enough. It felt frustrating. The tool wasn’t the problem. The approach was. Instead of blaming the framework or rushing to re-run, I paused and dug deeper. I checked waits, dependencies, and how resilient my locators were. I started treating automation like software, not just scripts. That shift in mindset changed everything. From then on, I built test cases with: Stability in mind - handling timing issues and external dependencies. Review cycles - peer reviews for automation scripts, just like code. Root cause focus - was the test unstable, or was the app unstable? The same scripts that embarrassed me later became strong enough to run in CI pipelines without manual babysitting. The lesson was clear: a tool won’t save you, but the way you design, review, and stable your tests will. How have you handled flaky tests in your projects? What’s worked for you?

Controversial take: "Why We Stopped Writing Unit Tests for Every Single Method" 🧵 100% test coverage is often a vanity metric that creates more problems than it solves. After a major production incident with "perfect" test coverage, we completely rethought our testing strategy. The results? 65% coverage, 87% fewer critical bugs, and 40% faster development. Swipe through to see: → How 100% coverage failed us spectacularly → The production incident that changed everything → Our new value-driven testing philosophy → Real before/after code examples → Shocking metrics from 6 months later → The golden question we ask before every test Sometimes less is more. Sometimes coverage is just a number. Sometimes the best tests are the ones you don't write. What's your experience with test coverage? Are you optimizing for the right metrics? Drop your thoughts below! 👇 #SoftwareTesting #TestDrivenDevelopment #SoftwareQuality #Engineering #TechLeadership #CodeQuality #TestingStrategy #SoftwareDevelopment #QualityAssurance

🚀 Test Strategy or Test Plan? Why Knowing the Difference Saves Your Projects Too many QA teams confuse test strategy with test plan — and that simple mix-up leads to missed deadlines, unclear priorities, and poor software quality. ✔️ Test Strategy = the big-picture blueprint for QA ✔️ Test Plan = the detailed, project-specific roadmap When these two work together, your QA process becomes more structured, efficient, and predictable. With the right platform like Testomat.io, you can connect strategy and plans seamlessly in one place. 👉 Dive into the full guide here: https://lnkd.in/ew5u6-zQ #SoftwareTesting #QATesting #TestManagement

As a new week kicks off, every team will eventually face the most dangerous question in software: Are we ready for production? It sounds simple, but for testers it’s a trap: • Say yes → any bug becomes your fault. • Say no → you’re accused of blocking progress. Here’s the uncomfortable truth: 🔹 Testing has no real finish line. 🔹 100% coverage doesn’t exist. 🔹 Bug-free software is a myth we tell ourselves. So what do QAs actually bring? Not perfection just confidence. Confidence that: ✔️ The most critical paths won’t collapse. ✔️ High-risk areas have been tested under pressure. ✔️ The team is aware of risks before shipping. Leaders often want certainty, but software is never certain. The best testers don’t deal in guarantees. We reduce the chances of surprise. So next time I’m asked Are we ready? my response will be: We’ll never be 100% ready. But we’re confident enough to move. Because shipping is eliminating illusions.

New type of post today. Load testing 101. If you're not sure of what you're looking for or strategy basics here's a few quick ideas of what to do (and not to do). Getting performance testing right can make or break your application’s scalability. Here are some quick tips: ✅ Do’s Define clear goals - Know what you’re testing for: peak traffic, sustained load, or breaking point. Simulate real-world scenarios - Use data and patterns that reflect actual user behaviour. Test early & often - Don’t wait until production; make load testing part of your CI/CD. Monitor everything - Integrate with your APM and Collaborate across teams - Involve developers, QA, and ops to turn test results into action. Check the percentages - The value for load testing is in the margins. Checking the 95th percentile and above will give you a great idea where you can actually make gains. ❌ Don’ts Don’t test with unrealistic user journeys (they give misleading results). Don’t ignore bottlenecks you uncover - fix them before scaling further or building on them. Your future self will thank you. Don’t run tests only once - performance changes with each release. Don’t overload production without a plan - you should only be testing on production if you know what you're doing (maybe use our run stop criteria to make sure you aren't doing any real damage. Don’t assume more hardware = solved problem: optimize code first. Performance is a team sport. The earlier you test, the smoother you’ll scale.

Feature flags aren’t just toggles to hide unfinished work. They’re a deployment strategy. Used well, they let teams ship faster, test safely in production, and iterate without holding up releases. But that only works if flags are part of the system, not just scattered if statements duct taped into the codebase. Good implementation means structure: naming conventions, lifecycle management, flag ownership, and automated cleanup. Otherwise, your “flexibility” turns into technical debt. Done right, feature flags help teams isolate risk, experiment in real time, and roll out gradually with control over when and to whom. But the flags don’t manage themselves. Without process, they’ll pile up, collide, and break things in ways nobody can trace. So ask yourself: are you using feature flags to control deployment or just to hide the mess?

⏳ When Testing Gets Rushed, Quality Pays the Price Picture this: The release date is fixed. Development runs late. Testing time gets cut in half. The product ships anyway… A week later: ⚠️ Users complain about glitches ⚠️ Developers scramble with hotfixes ⚠️ Testers feel blamed and burned out Sounds familiar? It happens everywhere. And the root cause isn’t testers — it’s the lack of time. ✨ Here’s why time is the true fuel for quality: 1️⃣ Bugs get caught early, not in production 2️⃣ Fewer stressful, last-minute fixes 3️⃣ Testers stay motivated and sharp 4️⃣ Developers and testers collaborate better 5️⃣ Coverage is complete, not compromised 6️⃣ Technical debt stays low 7️⃣ Creativity thrives in exploratory testing 8️⃣ Trust grows across the whole team 9️⃣ Test results become reliable 🔟 Efforts align with long-term goals 1️⃣1️⃣ Burnout and turnover are prevented 1️⃣2️⃣ Production downtime reduces 1️⃣3️⃣ A lasting culture of quality is built 🚀 It’s time to move from “Ship it fast” to “Ship it right.” Because when testers are given space to test thoughtfully, teams build products that don’t just work — they delight. ⸻ #SoftwareTesting #QualityAssurance #TestingCommunity #ManualTesting #AutomationTesting #QualityEngineering #BugFreeSoftware #AgileTesting #ShiftLeft #QALife #TestAutomation #TestingStrategy #DevOpsQuality #CultureOfQuality #TesterMindset

We often hear this question from developers: “If I already have unit tests, why do I need automated acceptance tests too?” It’s a fair question – but here’s the key: unit tests and acceptance tests serve different purposes. ✅ Unit tests document APIs, classes, and detailed behavior at the code level. They help developers (including future-you) understand the inner workings of the system. ✅ Acceptance tests capture business-facing outcomes. They focus on user journeys, acceptance criteria, and the value the system delivers from a business perspective. Different audiences, different goals – and both are essential if you want clarity, confidence, and long-term maintainability in your applications. What’s your approach: do you start with unit tests or acceptance tests first? #TestAutomation #UnitTesting #AcceptanceTesting #SoftwareQuality #AgileTesting #SoftwareTesting #AgileDevelopment #QualityCode #SerenityBDD #TestingStrategies #SoftwareDevelopment