Quality Assurance in Cross-Functional Project Teams

Explore top LinkedIn content from expert professionals.

Summary

Quality assurance in cross-functional project teams ensures that a project meets both technical standards and user needs by integrating QA into every stage of the process and fostering collaboration across diverse team roles.

  • Involve QA early: Include the quality assurance team from the project's inception to ensure they understand project goals, timelines, and potential challenges, enabling them to contribute proactively.
  • Focus on real-world scenarios: Go beyond technical testing by validating how the solution performs in practical business contexts to ensure it meets end-user expectations.
  • Establish clear roles: Define responsibilities and accountability for every team member, creating a shared understanding of ownership for tasks and project outcomes.
Summarized by AI based on LinkedIn member posts
  • View profile for Nathan Roman 📈

    I help life science leaders reduce risk and increase confidence through proven CQV, calibration & asset management strategies - turning compliance headaches into operational wins with Ellab’s end-to-end solutions.

    19,412 followers

    Validation projects always look great on paper… until they spiral into late nights, scope creep, unclear ownership, and missed milestones. If you’ve ever found yourself thinking: → No one’s accountable → We keep finding issues too late → The schedule keeps slipping → Nothing’s working… You’re not alone—and it’s not random. It’s structural. In my experience supporting teams in regulated life science environments, here’s what separates high-performing, compliant validation projects from those that spiral out of control: ✅ Well-defined roles and a documented responsibility matrix • Every critical activity—from protocol development to final report approval—has clear ownership, not just names on an org chart. ✅ A real-time dashboard of quality and execution metrics • Track what matters: task completion percentages, planned vs. actual timelines, document status, resource utilization, and open issues. You’ll catch problems early and stay inspection-ready. ✅ Quarterly priorities tied to essential compliance milestones • Think equipment qualification, risk assessments, data integrity reviews—aligned and owned across teams. ✅ Structured weekly meeting cadence • Bring cross-functional teams together to surface and solve issues—like test failures, documentation gaps, or inspection risks—before they derail timelines. ✅ A leadership team that owns outcomes • They understand the regulatory landscape, commit to timelines, and have the experience to lead from the front. 💡 This approach consistently delivers validation projects that are audit-ready, on schedule, and low-stress for quality, engineering, and regulatory teams. If your project feels like it’s running you—it probably is. But with the right structure, you can take back control. Because validation should be rigorous—but never out of control. Are you running your project? Or is it running you? #ValidationConsulting #ProjectLeadership #LifeSciences #Execution #Compliance #Accountability

  • View profile for Sreejith Kanhirangadan

    AI & CSV→CSA Consultant for Pharma & Biotech companies | Trained 10,000+ via Udemy, CSV-GC, Corp Training | Veeva QMS | Author |Live2Give💛

    6,362 followers

    QA Isn’t the Problem—They are the Secret Weapon Your CSV Program Needs. Ever felt like your CSV project was dragging, and the easiest thing to do was blame Quality Assurance dept? Yeah, I’ve been there too.  But here’s the thing—QA isn’t the roadblock. The real issue is we often don’t bring them into the loop early enough. We expect them to swoop in at the last minute and magically fix everything, without giving them the full story. It’s time to flip the script. • Involve QA Early:  Bring QA into the conversation from the start of your project. They should know what’s coming and why it matters. • Set Clear Expectations:  Share your timelines and plans upfront, so everyone’s on the same page. • Communicate the Why:  Don’t just hand over documents—explain the reasoning behind your test scenarios and strategies. When QA understands the bigger picture, they can provide better support. • Collaborate, Don’t Dictate:  Work together with QA on solutions. When they’re part of the process, they’re more invested in the outcome, and the whole process becomes smoother. In my 20 years running CSV programs, I’ve seen this in action. Take the time I teamed up with QA to write an automation SOP.  At first, we were stuck in a tug-of-war—automation versus traditional review.  But when we sat down together and hashed it out, not only did they get it, but we cut their review time in half. + it made the whole process a lot less painful—like pulling off a Band-Aid quickly instead of slowly. Why It Matters: As we move into the future with AI, ML, and other fancy tech acronyms, the role of QA is more important than ever. They’re not just the gatekeepers—they’re the ones who’ll have your back when auditors start asking the tough questions. Get them on board early, and you’re not just covering your bases; you’re building a team that’s ready to tackle anything. So, next time you’re tempted to grumble about QA, stop and ask yourself:  Did I really set them up for success? Get them involved from the start, and watch how much smoother your project runs. P.S Had any aha moments with your QA team? Or maybe you’ve got a horror story turned success? Share your experiences in the comments—let’s help each other out. #CSV #CSA #QA

  • View profile for Dmitry Kon

    Digital Transformation | B2B & B2C | Director of Solutions, Delivery, Operations, Product Management, eCommerce | 17 Yrs Technology Leadership | AI expert | Certified SAFe SSM, CSPO

    4,968 followers

    "Hope it works" is not a QA testing strategy. You can end up with code that passes every test, but the platform fails to meet actual user needs. I see this pattern repeatedly in complex implementations. Teams run technical tests, check all the boxes, then wonder why their business processes collapse after go-live. Here's what most miss: 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝘁𝗲𝘀𝘁𝗶𝗻𝗴 ≠ 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗽𝗿𝗼𝗰𝗲𝘀𝘀 𝘃𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 ➡️ Technical testing asks: "Are we building the product right?" ➡️ Business validation asks: "Are we building the right product?" Verification confirms that the software meets all technical specifications, which sets a solid foundation for the validation phase. During validation, the software is tested from the user's perspective. Your order-to-cash process might technically function while completely breaking your sales workflow. 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗵𝗮𝗽𝗽𝗲𝗻𝘀: Manual business validation is time-consuming, so teams skip it. Resource constraints push business process validation to "later" (which becomes never). James Bach warns us: "The testing mindset is a sophisticated and difficult thing to achieve. You can't be in the testing mindset while you are in the building mindset. They fight each other." 𝗪𝗵𝗮𝘁 𝘄𝗼𝗿𝗸𝘀 𝗶𝗻𝘀𝘁𝗲𝗮𝗱: ✅ Embed QA throughout development, not as an afterthought. ✅ Test real-world business scenarios, not just code functions. ✅ Automate both technical verification AND business process validation. ✅ Engage stakeholders actively during QA and user acceptance phases. ✅ Foster a culture where quality is everyone's responsibility. But it's the difference between project success and costly failure. Don't let your next implementation fall into the "hope it works" trap. What's your experience with balancing technical testing and business validation? #QualityAssurance #SoftwareTesting #ProjectManagement #DigitalTransformation #SoftwareDevelopment #TechLeadership #BusinessProcesses #QAStrategy #SystemsImplementation #TechnicalLeadership #EnterpriseSoftware #SoftwareQuality #TestingStrategy #BusinessValidation #ProjectSuccess #TechStrategy #SolutionsArchitecture #Consulting #TechConsulting #QAProcess #Excellence #Delivery #ProjectDelivery #Technology #B2B #B2BCommerce #eCommerce #ERP #Integration #Software #SoftwareDevelopment

Explore categories