TL;DR
- As software development and testing evolves, QA teams must move from reactive testing to becoming strategic quality enablers that shape quality all-across, from initial planning to production.
- To become strategic quality enablers, QA professionals must adopt not only technical fluency and attention to details, but also focus on product & business thinking, overall collaboration with various teams, and continuous learning mindset.
- Structural strategies that support teams becoming more agile and adaptable includes:
- T-Shaped Testers: Deep expertise with broad collaboration capabilities.
- Team Models: Choose between embedded, centralized, or hybrid QA structures based on org needs.
- The most effective QA teams are built around continuous growth, evolving roles, and a culture of quality ownership that positions them to lead, and not just respond.
Software testing today looks very different than 20 years ago, and even compared to just a few years back. With faster release cycles, continuous delivery, automation, and the growing role of AI, expectations from QA teams have increased significantly. In 2026 and beyond, having a team of great testers isn’t enough. You need a team of strategic quality enablers.
Quality enablers are team members who go beyond executing tests or writing bug reports. They help shape product quality at every stage, from planning and development to release and monitoring. They anticipate risks, collaborate across departments, and bring the user’s perspective into every step along the way.
For QA Managers and Testing Directors, this shift brings both challenges and opportunities. Staying ahead requires building adaptive teams that are fluent in emerging technologies and able to collaborate across functions. To support this, leaders need to be intentional about the team’s structure, making it scalable, and supporting continuous improvement, including a clear plan to upskill your testers, not just with tools, but with the right mindset.
In this article, we’ll explore the key skills, roles, and strategies that can help you build a future-ready QA team, one that’s prepared for the demands of 2026 and beyond.
Evolving Roles in QA Teams
As the demands on QA teams grow, so do the expectations for the roles within them. It’s no longer enough to think in terms of just “manual testers” and “automation engineers.” Modern QA organizations require a mix of specialized and hybrid roles that can support quality across the entire development lifecycle.
Forward-looking QA Managers are shifting from filling roles to designing the right blend of capabilities. That means identifying what your team needs today, and preparing for what you’ll need tomorrow.
Here are some of the key roles and shifts shaping future-ready QA teams:
More than Just a Manual Tester
Some may call them “Test Engineers,” others “Software Testers,” but the core responsibility remains the same: designing and executing manual testing processes, from planning to reporting. And despite common assumptions, this role isn’t going anywhere.
Yes, automation and AI are improving rapidly, helping QA teams cover more ground and handle complex and time-consuming test cases. But they can’t, and shouldn’t, replace 100% of manual testing.
In 2026 and beyond, the role of the Manual Tester is more important in areas where human skills like critical thinking, curiosity, and intuition can’t be replicated by machines. Exploratory testing, usability assessments, and edge cases all require real human judgment. This is where Manual Testers provide the unique value of bringing context and insight to the testing process that tools alone can’t deliver.
The Rise of the SDET (Software Development Engineer in Test)
SDETs are testers with a developer’s mindset. They write code to create and maintain automated tests, often working closely with developers in the same codebase. As test automation becomes essential for scalability and speed, having SDETs on your team ensures you can build reliable, maintainable, and efficient test suites.
QA Managers should think about how to integrate SDETs into product teams or create dedicated automation pods that support multiple squads.
Test Architects and Quality Coaches
In larger or more complex environments, roles like Test Architect or Quality Coach are becoming increasingly valuable.
- A Test Architect focuses on designing testing strategies, selecting tools, and ensuring consistency across teams.
- A Quality Coach helps embed quality practices across the organization, working with teams to improve processes, shift testing left, and build a culture of shared ownership.
The Skills That Will Matter for Software Testers
Today’s testers are expected to think critically, collaborate cross-functionally, and adapt quickly to changing tools and technologies. For QA Managers, the challenge is identifying the right mix of skills to develop across the team to meet current needs, but also to think further and prepare for what’s next.
Here are the six essential skills QA professionals need to thrive in 2026 and beyond:
1. Collaboration & Communication Skills
Year after year, communication ranks as the number one skill for software testers in the State of Testing™ report, and for a good reason. As Agile and DevOps are the most common development methodologies, testers must collaborate daily with developers, product managers, business analysts, and customer-facing teams.
More than just bug reporting, testers now need to be able to explain risks clearly, give actionable feedback, and contribute to discussions that shape product decisions. Strong communication helps QA professionals advocate for quality in a way that builds trust and drives results.
2. Product & Business Thinking
High-quality software is one that delivers value to users and meets, or exceeds, their expectations. Testers with strong product and business awareness are better equipped to prioritize the right tests, catch meaningful bugs, and align their work with business goals.
This skill involves asking the right questions: Who is the user? What problem are we solving? What would success or failure look like in the real world? When QA teams think beyond test cases and step into the mindset of the end user or stakeholder, they play a huge role in delivering better software.
3. Technical Fluency
While not every tester needs to be a developer, a strong foundation in technical skills is valuable. This includes familiarity with test automation frameworks, APIs, and CI/CD pipelines. Understanding how systems are built and deployed allows testers to ask better questions, write more effective tests, and identify root causes faster, eventually improving test coverage through automation where it makes sense.
4. Continuous Learning Mindset
Since technology is constantly evolving, the ability to learn and adapt is one of the most valuable assets a tester can have. New tools and strategies emerge regularly, and teams that stay stagnant risk falling behind.
A continuous learning mindset is about curiosity, experimentation, and sharing knowledge across the team. QA Managers should foster a culture where learning is part of the job, whether that’s through mentoring, knowledge-sharing sessions, or trying out new approaches in low-risk environments.
5. Attention to Detail
Attention to detail remains a timeless skill for testers. Whether it’s reviewing test cases, spotting edge cases, or noticing subtle changes in behavior, detail-oriented testers often catch what others miss. The key is knowing when detail matters most. Great testers balance precision with context, ensuring that issues impacting users don’t slip through the cracks while avoiding over-testing what doesn’t matter.
6. AI Awareness
The effect of AI is starting to be seen in various aspects of software development and testing. From AI-assisted test case generation to intelligent defect prediction, AI tools offer exciting opportunities as well as challenges. Understanding how AI is being applied in testing, where it can help, and where human judgment is still essential is what QA professionals should focus on in the context of AI and testing. This awareness helps testers evaluate AI tools critically, avoid blind trust, and stay relevant as the technology continues to evolve.
Structuring QA Teams for Growth and Agility
Having the right skills and roles on your team is one thing, but structuring those roles in a way that supports flexibility, collaboration, and long-term growth is a whole other thing. As QA grows or scales across multiple teams, thoughtful structure becomes critical to avoid silos, misalignment, and duplicated effort.
Forward-looking QA leaders are designing teams not just to execute, but to adapt to product shifts, to tech stack changes, and to evolving business priorities.
Here are two structural strategies to focus on:
T-Shaped Team Members: Deep Expertise, Broad Understanding
One of the most effective models for building an adaptable QA team is the T-shaped skills model. T-shaped testers have deep expertise in one area, such as test automation and performance testing, while also having a broad understanding of related areas like DevOps or user experience.
This balance allows them to contribute meaningfully in cross-functional teams, collaborate more easily with engineers and product managers, and step in to support other testing needs when priorities shift.
As a QA Manager, encouraging your team to “stretch horizontally” builds flexibility into your team structure. All in all you need to remember that you don’t need everyone in your QA team to know everything because it’s simply not practical. You need everyone to be curious, open to learning, and willing to step outside their lane when needed.
Team Models That Scale
There’s no one-size-fits-all structure for QA teams, but most modern organizations adopt one of the following approaches:
- Embedded QA: Testers sit directly within product or feature teams. This model fosters tighter collaboration and faster feedback loops but requires strong alignment on testing practices across teams.
- Centralized QA: A dedicated QA team serves multiple development teams. This works well for ensuring consistency and tool governance but can create bottlenecks without tight coordination.
- Hybrid Models: A mix of embedded testers and a centralized QA function (like a Center of Excellence) that sets standards, offers guidance, and shares best practices across the org.
Making Upskilling a Strategic Priority
The difference between a QA team that keeps pace and one that drives innovation often comes down to how well it learns, adapts, and grows together. For QA Managers and Testing Directors, upskilling should be treated as an intentional, ongoing effort rather than a checkbox in performance reviews. Creating a culture where learning is expected, supported, and aligned with team goals is the key here.
Here’s how to make upskilling part of your team’s DNA:
#1 Start with a Skills Gap Analysis
Begin by understanding where your team stands today. Map current capabilities against future needs, it can be regarding learning new tools, building test architecture knowledge, or strengthening communication skills. Use this to identify individual and team-level learning priorities.
#2 Create Personalized Learning Plans
Each team member brings different strengths and capabilities to the table. Therefore, you should work with them separately to set clear development paths that will help them achieve their goals. Some may be ready to step into mentorship or leadership roles, while juniors can benefit greatly from having a mentor alongside them so make sure to personalize the learning plans. Try to tie learning to real projects when possible so it feels relevant and impactful.
#3 Encourage Knowledge Sharing
Upskilling doesn’t necessarily have to mean expensive courses. Internal learning opportunities like peer mentoring, internal knowledge-sharing Slack channels, and even brown bag sessions can be just as powerful. When learning becomes part of the daily rhythm, it scales faster and sticks longer.
#4 Invest in External Growth Too
Where possible, budget for certifications (the right ones), conference attendance, or online courses that align with your goals. Not every investment needs to be formal and sometimes giving a team member time to explore a new testing tool can pay off more than a week-long training.
#5 Make Learning Measurable and Visible
The most important thing is to track progress and not just completion. Are skills being applied on the job? Is the team more confident using a new tool? Are communication gaps narrowing? Regular check-ins with reflections and implementing metrics can help keep learning on track and tied to real business value.
Future-Ready Starts Now
Building a future-ready QA team isn’t just about keeping up with tools or trends. It’s about developing a balanced mix of skills, evolving roles to match modern workflows, and creating structures that support continuous growth.
Whether you’re expanding automation, introducing AI, or deepening collaboration across teams, your success will ultimately depend on your people. Prioritize upskilling. Embrace new ways of thinking about roles and team structure. And most importantly, create a culture where learning and quality go hand in hand.
Because in 2026 and beyond, the best QA teams won’t just adapt to change, they’ll lead it.
FAQ
How can QA teams evolve in 2026 and beyond?
Software development has become faster and more complex. QA teams must expand their roles to ensure quality at every stage, not just during testing. This requires new skills, tools, and ways of thinking.
What is a “quality enabler”?
A quality enabler is a team member who actively contributes to product quality throughout the lifecycle, starting from initial planning and development all the way to the release. They do so by risk awareness, collaboration, and user-focused thinking.
What is a T-shaped tester?
A T-shaped tester has deep expertise in one area (e.g., performance testing) and a broad understanding of related domains. This allows for better collaboration and flexibility across functions.
What are the top skills for testers in 2026?
Communication, product thinking, technical fluency, continuous learning, attention to detail, and AI awareness are essential for modern QA professionals.
How should QA teams be built to be future-ready?
There’s no one-size-fits-all. Teams may be:
- Embedded in product squads for close collaboration.
- Centralized to ensure consistency and standards.
- Hybrid, combining both approaches for balance.
What’s the best way to upskill a QA team?
Start with a skills gap analysis, create tailored learning paths, foster knowledge sharing, and track how new skills are applied in real projects. Encourage both internal and external learning opportunities.