Atique Khan

If Your Team’s Moving Fast, Why Isn’t Your QA? Manual testing is the silent killer of release speed. It delays feedback, introduces errors, and forces you to choose between quality and velocity. Our eBook reveals the 5 signs your manual testing is holding you back—and how automation can turn your pipeline into a competitive advantage. Don’t let QA be the bottleneck. Get the eBook Now: https://ow.ly/ElgM50We25u #DevOps #SalesforceTesting #TestAutomation #AI

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Manual vs Automated Testing isn’t a battle to win it’s a partnership to build. Manual testing uncovers nuanced user experiences and edge cases that scripts can miss. Automated testing brings speed, consistency, and scale to regression and repetitive scenarios. When QA leaders stop treating them as either/or and start designing a balanced mix, they cut release cycles, reduce risk, and improve product quality. It’s time to rethink how we approach testing: insight from humans + efficiency from automation = smarter, faster QA. #ManualTesting #AutomatedTesting #TestAutomation #QualityEngineering #QAAudit #Agile #KriosInfoSolutions Pranav Joshi Yogesh Daspute Prasad Deshpande Prashant Vani Vinod Satavase Nitin Tile Anikkumar Hole Ketan Badhan

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Use our free assessment tool to see how your current Automated Testing practices stack up against industry benchmarks 🔧 You'll get instant access to a report that includes: ✓ Your Test Automation maturity scores (overall and across 8 pillars) ✓ High-level assessment of your current maturity levels ✓ Recommendations for improvement 🔗 Start here: https://lnkd.in/dg-8ymz7 #TestAutomation #AutomatedTesting #QualityEngineering #SelfAssessment #DigitalTransformation #CurrentlyOrion

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When testing delays started derailing the credit card launch timeline, the client reached out to us. They had tried internal QA, manual scripts, even off-the-shelf tools. None of it could scale. Their ask? Automate the entire credit card lifecycle. Validate every permutation. Be regression-ready—always. We deployed CardTest. AI. Within 10 weeks: - 500+ use cases automated - Test planning effort halved - Regression cycle reduced by 30% - Zero critical defects at launch We didn’t just test, we built a reusable automation layer that scales with their product roadmap. That’s how credit card launches move from reactive to reliable. Curious if CardTest. AI can help your testing team? Let’s talk. https://lnkd.in/gSxDH8bB #CardTesting #QualityEngineering #FintechQA #DigitalBanking #TestAutomation #Verinite #CreditCardTesting

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The days of being a siloed QA professional are over. Today’s software testing landscape demands adaptability, collaboration, and cross-functional skills. But what does that mean for testers? It’s time to move from being I-shaped to T-shaped. Our newest ebook covers how to build a team and a skills profile that has a competitive edge in today’s market. Plus, download a printable T-shaped tester template to start promoting cross-functional growth within yourself and your team today! Download “The QA Team’s Playbook: Building a Cross-Functional and Flexible Team” now: https://lnkd.in/gnKVicjv #QA #SoftwareTesting #TShapedSkills

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Should you build or buy a test executive for your test system? Before you decide, take the time to understand what the software does and how it can support your specific workflow needs. Our guide includes everything you need to make the right choice. Grab a copy: https://bit.ly/4mTuUIU

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The checkpoints of yesterday can’t guide the quality of tomorrow! Quality Engineering is moving beyond old boundaries. Are you ready for what’s next? Episode 5 of The Think QA Podcast, powered by SDET Tech, brings Tom Churchwell to the table to decode the future of QA, testing, and engineering excellence. Stay tuned, this one’s packed with insights you won’t want to miss. #SDETTech #ThinkQAPodcast #QualityEngineering #TechPodcast #QAFuture #QualityAssurance

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Manual testing taking weeks? It doesn't have to. ⏱️ See how we partnered with Centerbase to cut their full regression testing cycle time in half (from 3-4 weeks to just 2 weeks) by implementing a custom Playwright automation framework. Stop letting slow QA delay your features. Read the full success story to learn how we did it. https://lnkd.in/dScu6SC6 #TestAutomation #QA #Playwright #SoftwareTesting #Efficiency #RegressionTesting

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#AgenticAI isn't just plug-and-play. It’s all about plan-and-execute. If you’re looking to bring #AI into your test automation efforts, this checklist is for you.   ✅ Start small ✅ Align with business goals ✅ Train AI with QA expertise ✅ Built-in governance   Swipe through for the steps. Then dive into our whitepaper for the complete guide 👉 https://lnkd.in/gP9bJHXt   Sreedhar Narayanan | Vikul Gupta | Vijay Verghis | Rakesh Sukla | Shilpi Singh | Samantha De Souza   #SoftwareTesting #SDLC #QualityEngineering #GenAI

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Understanding BDD & NTAP Government acronyms are confusing, but here's the breakdown: BDD means your device is "life-saving" to a new population - and shockingly, you don't need data to prove it, just the FDA's belief in your pitch. The real kicker is timing: apply for BDD before your 510K submission or lose the fast-track opportunity forever, even if your innovation could obtain BDD. Watch the full episode here: https://lnkd.in/e4edwPYq #FDAApproval #MedDeviceStrategy #OrthopedicsThisWeek

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Coverage is NOT about running more tests, it’s about testing what matters. When QA professionals talk about "coverage", the conversation often drifts toward numbers: percentage of requirements covered, manual test cases executed, or automation test scripts successfully passed. The assumption is simple, the more tests we run, the better our coverage. But the real deal is, coverage is meaningless if the tests don’t matter. Many organizations chase coverage as if it were a scoreboard. Does 95% coverage really mean you are safe? Do thousands of automated scripts actually protect the business? Do full regression cycles guarantee quality? Yet, behind those numbers, systems still fail, users still leave and move to competitors and businesses still suffer. Why? Because the coverage focused on quantity, not relevance. Testing every permutation blindly doesn't guarantee protection. In fact, it often leads to redundancy, more effort, more noise and little added value. True coverage is NOT about how much you tested, it's about what you tested and why. Did you validate the business rules that keep revenue safe? Did you stress the scenarios users actually face in production? Did you prioritize the risks that could damage trust or compliance? Coverage that ignores business priorities is like securing every window in a house while leaving the front door unlocked. This is where Human Intelligence Software Testing (HIST) reframes the conversation. HIST teaches that coverage must be anchored in business value, not vanity metrics. With HIST, testers shift their mindset: From -->"Did we test everything?" To --> "Did we test what matters most to the business?" HIST ensures relevance through: a. Risk-Based Prioritization -->focusing testing on high-impact areas, not just on easy-to-automate cases. b. Business Rule Validation --> aligning tests with the DNA of the software, ensuring no drift from its intended purpose. c. Contextual Relevance -->building coverage models around real-world usage, not hypothetical edge cases that distract from value. In the HIST world, coverage is no longer a numbers game, it’s a value conversation. Executives don’t ask how many tests were run; they ask how much risk was mitigated, how many dollars were protected, and how many customers were retained. Coverage is not about redundancy, it’s about relevance. HIST makes sure every test counts. Thoughts? To learn more about HIST register to the debate here -->To learn more about HIST register to the debate here -->https://lnkd.in/eQ8VH4Tk

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Quality leaders aren’t burning out because they can’t handle the work. They’re burning out because unclear expectations and overloaded systems make it nearly impossible to succeed.   In this episode of Let’s Talk Quality, Christy Mazzarisi, MSRAQA and Markus Gruell share why burnout is usually a system issue, not a personnel one, and what organizations can do differently.   What’s one change that would reduce burnout in quality teams without slowing the business down? Watch the full episode here: https://lnkd.in/eEcJA3p5 #QualityLeadership #QualityCulture #LifeSciences #NPGInsights

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Most QA problems aren’t about tools or people, they’re about processes. If your testers are chasing bugs manually, your devs are guessing coverage, and your releases feel like fire drills, that’s not a resource issue. That’s a design flaw. Process is the real framework. Get that right, and everything else starts to click. #ProcessEngineering #SoftwareTesting #QualityOps #TestAutomation

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More QA teams are waking up to a frustrating reality: Manual QA only sees 2-5% of interactions. That’s not enough to guide strategy, improve sentiment, or protect compliance — especially at scale. NinjaAI QA gives leaders the full picture: ✅ 100% interaction coverage ✅ Real-time sentiment tracking ✅ Custom scoring aligned to CX KPIs And it’s built to complement human QA, not replace it. Because you need both the data and the context. The forest and the trees. 🌲 🔗 https://hubs.li/Q03DVMWF0 How are you evolving your QA process to keep up with today’s volume and complexity? 🤔

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