Effective Testing Beyond Execution: Risk-Based Thinking and More

Most test automation is a waste of time. Yes, I said it, not because automation is bad. But because many teams automate the wrong things. I’ve seen companies with: • 3,000+ automated tests • CI pipelines running for 45 minutes • flaky tests failing randomly • engineers ignoring red builds …and still critical bugs reach production. Why? Because automation cannot fix bad testing strategy. Good QA starts long before writing automation scripts. Great QA starts with: • understanding the product • thinking about edge cases • asking the right questions • testing like a real user Automation should support testing, but not replace thinking. Tools change every few years. Good testers don’t! <~~~~#𝑷𝒍𝒂𝒚𝒘𝒓𝒊𝒈𝒉𝒕 #𝑻𝒆𝒔𝒕𝒊𝒏𝒈~~~~> 𝑷𝒍𝒂𝒚𝒘𝒓𝒊𝒈𝒉𝒕 𝒘𝒊𝒕𝒉 𝑱𝒂𝒗𝒂𝑺𝒄𝒓𝒊𝒑𝒕& 𝑻𝒚𝒑𝒆𝑺𝒄𝒓𝒊𝒑𝒕 ( 𝑨𝑰 𝒊𝒏 𝑻𝒆𝒔𝒕𝒊𝒏𝒈, 𝑮𝒆𝒏𝑨𝑰, 𝑷𝒓𝒐𝒎𝒑𝒕 𝑬𝒏𝒈𝒊𝒏𝒆𝒆𝒓𝒊𝒏𝒈)—𝑻𝒓𝒂𝒊𝒏𝒊𝒏𝒈 𝑺𝒕𝒂𝒓𝒕𝒔 𝒇𝒓𝒐𝒎 13𝒕𝒉 𝑨𝒑𝒓𝒊𝒍 𝑹𝒆𝒈𝒊𝒔𝒕𝒆𝒓 𝒏𝒐𝒘 𝒕𝒐 𝒂𝒕𝒕𝒆𝒏𝒅 𝑭𝒓𝒆𝒆 𝑫𝒆𝒎𝒐: https://lnkd.in/dR3gr3-4 𝑶𝑹 𝑱𝒐𝒊𝒏 𝒕𝒉𝒆 𝑾𝒉𝒂𝒕𝒔𝑨𝒑𝒑 𝒈𝒓𝒐𝒖𝒑 𝒇𝒐𝒓 𝒕𝒉𝒆 𝒍𝒂𝒕𝒆𝒔𝒕 𝑼𝒑𝒅𝒂𝒕𝒆: https://lnkd.in/dtq-J2V5 : Follow Pavan Gaikwad for more helpful content. #QualityAssurance #SoftwareTesting #TestAutomation

Most test automation is a waste of time. Yes, I said it, not because automation is bad. But because many teams automate the wrong things. I’ve seen companies with: • 3,000+ automated tests • CI pipelines running for 45 minutes • flaky tests failing randomly • engineers ignoring red builds …and still critical bugs reach production. Why? Because automation cannot fix bad testing strategy. Good QA starts long before writing automation scripts. Great QA starts with: • understanding the product • thinking about edge cases • asking the right questions • testing like a real user Automation should support testing, but not replace thinking. Tools change every few years. Good testers don’t! <~~~~#𝑷𝒍𝒂𝒚𝒘𝒓𝒊𝒈𝒉𝒕 #𝑻𝒆𝒔𝒕𝒊𝒏𝒈~~~~> 𝑷𝒍𝒂𝒚𝒘𝒓𝒊𝒈𝒉𝒕 𝒘𝒊𝒕𝒉 𝑱𝒂𝒗𝒂𝑺𝒄𝒓𝒊𝒑𝒕& 𝑻𝒚𝒑𝒆𝑺𝒄𝒓𝒊𝒑𝒕 ( 𝑨𝑰 𝒊𝒏 𝑻𝒆𝒔𝒕𝒊𝒏𝒈, 𝑮𝒆𝒏𝑨𝑰, 𝑷𝒓𝒐𝒎𝒑𝒕 𝑬𝒏𝒈𝒊𝒏𝒆𝒆𝒓𝒊𝒏𝒈)—𝑻𝒓𝒂𝒊𝒏𝒊𝒏𝒈 𝑺𝒕𝒂𝒓𝒕𝒔 𝒇𝒓𝒐𝒎 13𝒕𝒉 𝑨𝒑𝒓𝒊𝒍 𝑹𝒆𝒈𝒊𝒔𝒕𝒆𝒓 𝒏𝒐𝒘 𝒕𝒐 𝒂𝒕𝒕𝒆𝒏𝒅 𝑭𝒓𝒆𝒆 𝑫𝒆𝒎𝒐: https://lnkd.in/dR3gr3-4 𝑶𝑹 𝑱𝒐𝒊𝒏 𝒕𝒉𝒆 𝑾𝒉𝒂𝒕𝒔𝑨𝒑𝒑 𝒈𝒓𝒐𝒖𝒑 𝒇𝒐𝒓 𝒕𝒉𝒆 𝒍𝒂𝒕𝒆𝒔𝒕 𝑼𝒑𝒅𝒂𝒕𝒆: https://lnkd.in/dtq-J2V5 : Follow Pavan Gaikwad for more helpful content. #QualityAssurance #SoftwareTesting #TestAutomation

Most test automation is a waste of time. Yes, I said it, not because automation is bad. But because many teams automate the wrong things. I’ve seen companies with: • 3,000+ automated tests • CI pipelines running for 45 minutes • flaky tests failing randomly • engineers ignoring red builds …and still critical bugs reach production. Why? Because automation cannot fix bad testing strategy. Good QA starts long before writing automation scripts. Great QA starts with: • understanding the product • thinking about edge cases • asking the right questions • testing like a real user Automation should support testing, but not replace thinking. Tools change every few years. Good testers don’t! <~~~~#𝑷𝒍𝒂𝒚𝒘𝒓𝒊𝒈𝒉𝒕 #𝑻𝒆𝒔𝒕𝒊𝒏𝒈~~~~> 𝑷𝒍𝒂𝒚𝒘𝒓𝒊𝒈𝒉𝒕 𝒘𝒊𝒕𝒉 𝑱𝒂𝒗𝒂𝑺𝒄𝒓𝒊𝒑𝒕& 𝑻𝒚𝒑𝒆𝑺𝒄𝒓𝒊𝒑𝒕 ( 𝑨𝑰 𝒊𝒏 𝑻𝒆𝒔𝒕𝒊𝒏𝒈, 𝑮𝒆𝒏𝑨𝑰, 𝑷𝒓𝒐𝒎𝒑𝒕 𝑬𝒏𝒈𝒊𝒏𝒆𝒆𝒓𝒊𝒏𝒈)—𝑻𝒓𝒂𝒊𝒏𝒊𝒏𝒈 𝑺𝒕𝒂𝒓𝒕𝒔 𝒇𝒓𝒐𝒎 13𝒕𝒉 𝑨𝒑𝒓𝒊𝒍 𝑹𝒆𝒈𝒊𝒔𝒕𝒆𝒓 𝒏𝒐𝒘 𝒕𝒐 𝒂𝒕𝒕𝒆𝒏𝒅 𝑭𝒓𝒆𝒆 𝑫𝒆𝒎𝒐: https://lnkd.in/dR3gr3-4 𝑶𝑹 𝑱𝒐𝒊𝒏 𝒕𝒉𝒆 𝑾𝒉𝒂𝒕𝒔𝑨𝒑𝒑 𝒈𝒓𝒐𝒖𝒑 𝒇𝒐𝒓 𝒕𝒉𝒆 𝒍𝒂𝒕𝒆𝒔𝒕 𝑼𝒑𝒅𝒂𝒕𝒆: https://lnkd.in/dtq-J2V5 : Follow Kranti Shinde for more helpful content. #QualityAssurance #SoftwareTesting #TestAutomation

Test Cases Don’t Find Bugs. Thinking Does. Sounds wrong? It’s not. Test cases are just steps. They only validate what we already expect. But bugs don’t live in expectations. They live in assumptions. That’s why you can have: • 100+ test cases • 100% pass rate • Still… production issues Because no one explored beyond the script. Real testing starts when: 👉 You question the requirement 👉 You challenge edge cases 👉 You think like a confused user 👉 You break the “happy path” mindset Strong testers don’t just execute. They: • Ask “what can go wrong?” • Look for gaps, not confirmations • Think in risks, not just scenarios Because a script will only tell you: ✔️ What works But thinking will reveal: ❌ What fails And that’s where quality actually improves. Execution follows instructions. Thinking uncovers truth. #QA #TestAutomation #SoftwareQuality #TestingStrategy #Automation

🚀 Finding More Bugs in Manual Testing: Practical Tricks That Actually Work Manual testing is not just about executing test cases... it is about thinking beyond them. The real difference comes from how deeply you explore the application. Here are some practical tricks that help uncover more bugs: 🔍 Think like an end user... Do not just follow steps... explore how real users behave. They rarely use the system in a perfect way. 🧪 Try negative scenarios... Enter invalid data, skip steps, break flows intentionally. Many bugs hide in unexpected inputs. 🔄 Test around the edges... Minimum, maximum, empty, and extreme values often reveal hidden issues. ⚡ Change context frequently... Switch network, browser, or device. Interrupt flows midway and observe system behavior. 🧩 Explore integrations... Sometimes features work fine individually but fail when connected with other systems. 🕵️ Use exploratory testing... Keep some time to explore freely without strict test cases. Curiosity often finds what scripts miss. 📊 Check logs and errors... UI may look fine, but logs can reveal deeper problems. 🔁 Retest old features... New changes can silently break existing functionality. 🧠 Keep asking “what if?”... What if the user clicks multiple times... What if the session expires... What if data is partially saved... 💡 Final thought... Manual testing is not just checking... it is investigating. The more curious you are, the more bugs you will find. #SoftwareTesting #ManualTesting #QA #BugHunting #TestingTips #QualityAssurance #ExploratoryTesting

After 8+ years in test automation, I've seen the same pattern: teams invest heavily in testing frameworks, yet critical bugs still slip through production. The problem? Most functional testing fails because it's reactive, not predictive. Here's what I've learned: 1️⃣ Functional testing alone won't catch integration issues. Modern APIs are complex and edge cases hide in data flows, not just happy paths. 2️⃣ Data-driven testing changes everything. When you treat test data strategically, you catch vulnerabilities before they become incidents. 3️⃣ Scaling QA isn't about more testers, it's about smarter automation. The right tools + methodology = exponential coverage improvement. I'm applying these lessons differently. With a toddler keeping me grounded 😅, I've learned that both parenting and QA require patience, strategy, and knowing when to automate vs. when to stay hands-on. Sometimes the best testing breakthroughs come from stepping outside your environment entirely. What's your biggest API testing challenge right now? I'd love to hear what's keeping your team up at night. #TestAutomation #QA #API #DataDriven #TechLeadership

🧪 Manual Testing Matters I followed all the test cases. Step by step. Everything passed. ✅ No bugs. No issues. But when I used the application like a real user… something felt off. The flow wasn’t smooth. It didn’t feel intuitive. That’s when I realized— Manual testing is not just about executing steps. It’s about understanding the product. Every day we: ✔️ Explore beyond written test cases ✔️ Think like real users ✔️ Catch issues automation can miss Because users don’t follow scripts… they follow their instincts. 📌 Remember: Manual testing isn’t outdated— it’s where real quality begins. 💡 Interview Tip: When asked “Why is manual testing important?” Say: 👉 “Manual testing helps uncover usability issues and real-world scenarios that automated tests might miss.” #QA #SoftwareTesting #ManualTesting #QualityAssurance #TesterMindset

Most teams don’t have a testing problem. They have a visibility problem. Ask this: Can you answer these 3 questions instantly? How stable is your automation suite right now? Which areas of your product are most risky? How much time is lost due to flaky tests? In many teams, the answer is: “We’re not sure.” That’s the real issue. Because without visibility: → You can’t improve quality → You can’t prioritize testing → You can’t trust your releases In one setup I worked on, just adding basic QA metrics changed everything: ✔ Flaky test tracking ✔ Failure categorization ✔ Execution time monitoring Result? → Faster debugging → Better release confidence → More trust in QA Before adding more tests… Make your QA system visible. Curious—do you track any QA metrics in your current setup? #TestAutomation #QA #SoftwareTesting #SDET #QualityEngineering #AutomationFramework #Playwright #QATrainings #ProjectSupport #WorkSupport #Automation

“We completed full regression.” Still… production broke. Sounds familiar? The problem isn’t effort. It’s the approach. Most QA teams still: ❌ Start testing late ❌ Depend on manual cycles ❌ Treat automation as optional But today’s reality is different: 🚀 Releases are faster 🔗 Systems are API-heavy 🔄 Changes are constant So what works? ✔️ Test before coding starts ✔️ API-first automation ✔️ Risk-based validation ✔️ Continuous feedback via CI/CD Because: More testing ≠ More confidence Better strategy = Real confidence In domains like tax systems, this matters even more. A small miss → Big compliance impact. 👉 QA should not gate releases. 👉 QA should enable confidence. Are you still following traditional QA? #SoftwareTesting #QualityEngineering #APITesting #Leadership

🔹 Modern QA relies on powerful automation, detailed dashboards, and well-structured test coverage — all essential for maintaining quality at scale. 🔸 Yet even in highly mature environments, some of the most critical bugs are uncovered not by tools, but by a simple human reaction: “Something doesn’t feel right here.” 👀 This it’s experience translating into instinct — a form of pattern recognition built through years of working with real systems, real edge cases, and real failures. 🔹 You follow a standard flow but intentionally deviate slightly — and uncover something unexpected. 🔹 You notice a delay that technically fits within acceptable limits, yet feels inconsistent. 🔹 You combine actions no test case explicitly covers — and expose a hidden issue. 📌 These moments don’t come from scripts. They come from context, curiosity, and accumulated experience. At the same time, intuition becomes truly powerful only when it’s supported by: 🧠 Deep product understanding. 🔍 Awareness of real user behavior. ⚙️ Strong testing strategy and coverage. In complex products, the biggest risks rarely sit in obvious places. They live in the gaps between logic, behavior, and expectations. And that’s exactly where experienced engineers start looking. #TestFort #SoftwareTesting #QualityEngineering #QAMindset