Paul Hayes

ABOUT ME:

I have been a proud member of the Association for Software Testing (AST) since 2007, and its principles of context-driven testing, critical thinking, and professional integrity have shaped my 18+ year career in quality engineering. My professional journey has taken me through large-scale, regulated environments—particularly in banking—where I’ve built sustainable automation strategies, led performance engineering initiatives, and mentored diverse teams worldwide. I specialize in AI-augmented, human-in-the-loop testing architectures that combine the scale and speed of automation with the judgment, context, and ethical oversight only skilled testers can provide.

I am standing for the AST Board because our profession is at a critical inflection point. AI, remote work, and rapid delivery cycles are reshaping how we test—and AST has a unique opportunity to lead this transition globally. My vision is to help AST become a continuous learning laboratory, connecting testers across geographies to co-create practical frameworks, ethical guidelines, and sustainable practices that are relevant today, not a year from now.

If elected, I will champion:

Responsible AI adoption – avoiding tool sprawl, mitigating bias, and ensuring human expertise remains central.
Sustainable automation – maintainable, business-aligned solutions that deliver enduring value.
Global communities of practice – connecting testers to share, experiment, and solve problems collaboratively.

I bring a track record of delivering measurable results—98% defect detection rates, 70% reductions in manual testing (creating the space for focused exploratory testing), and on the average 60% team performance improvements—along with the persistence and leadership to turn ideas into action. My experience spans continents and cultures, enabling me to bridge communication styles, align diverse interests, and keep teams moving forward even when progress feels slow. I’ll know we’re succeeding when AST members are creating and sharing new practices monthly, not just at an annual event.

AST has always been built by people willing to step up when the profession needs it most. I am ready to step up —helping AST not just keep pace with change, but set the direction for how testing evolves in an AI-driven world.

WHY QUALITY? In 2 paragraphs give us an overview of your philosophy on Quality and how you approach testing in support of achieving quality outcomes… Please provide (non-confidential) real world examples:

"My philosophy centers on quality as a foundational engineering discipline rather than a post-development activity. Quality must be architected into systems from inception through a prevention-first mindset that aligns testing strategy with business-critical priorities, regulatory compliance, and user experience objectives. This approach transforms quality from a cost center into a value driver by engineering defect resistance through intelligent design, continuous validation, and systematic risk mitigation. Having achieved 98% defect detection rates and delivered 70% reductions in manual testing effort across banking transformations, I've proven that embedding quality throughout the delivery lifecycle doesn't slow development—it accelerates sustainable delivery by eliminating costly late-stage failures and rework cycles.

My testing methodology combines strategic automation with AI-enhanced intelligence to create scalable, high-impact validation ecosystems. By leveraging modern frameworks, CI/CD integration, and predictive analytics, I build comprehensive testing architectures that focus human expertise on areas of highest business risk while automating repetitive validation tasks. This includes full-stack automation covering API services, UI interactions, performance engineering, and regulatory compliance validation—all orchestrated through continuous feedback loops that provide real-time quality insights. The measurable outcomes speak for themselves: 30% efficiency improvements, 60% performance optimizations, and consistent delivery of resilient solutions in heavily regulated environments where quality failures carry severe business and compliance consequences. This approach doesn't just detect defects—it prevents them from reaching production while enabling rapid, confident release cycles."

This board role will require 10 - 20 hours per month of often self driven activities and the ideal candidate is someone who is willing to own an initiative and drive it through to completion... Is this something you are willing to commit to, and in your most honest moment, what will keep you motivated when the work gets hard and progress feels slow?

"Yes — I’m fully willing to commit 10–20 hours per month to owning an initiative and driving it through to completion. I thrive in self-directed roles and have spent much of my career delivering long-term, high-impact quality programs that required persistence, adaptability, and steady progress over time.

When the work gets hard or progress feels slow, my motivation comes from two sources: impact and community. Impact, because I believe AST’s mission—to advance the craft of testing—has tangible effects on careers, organizations, and the quality of the systems people rely on every day. Community, because collaborating with passionate, like-minded professionals energizes me and reminds me why the work matters. Even in challenging stretches, knowing that we’re building something that will outlast individual contributions keeps me moving forward."

It's 2030. AST just won 'Global Nonprofit of the Year' for transforming testing careers worldwide. What three bold moves did we make between 2025-2030 that nobody saw coming?

Follow-up: Which of these moves would you personally champion, and how would you convince skeptics on the board?

"AST won “Global Nonprofit of the Year” because we:

Replaced the annual conference with AST Labs – a year-round, global testing laboratory producing open-source frameworks, research, and tools in real time.
Launched the Human-in-the-Loop Certification – the first industry credential validating testers’ ability to work alongside AI, balancing automation scale with human judgment.
Became the Global Testing Commons – a freely accessible digital library of testing patterns, ethics guidelines, and case studies, built collaboratively by members worldwide.

The move I’d personally champion:
I would lead the Human-in-the-Loop Certification, combining my expertise in AI-augmented test architectures with AST’s principles of context-driven testing. To convince skeptics, I’d demonstrate:

Market demand: Testing is evolving; practitioners need credentials that prove they can integrate AI without losing ethical and contextual oversight.
Mission alignment: It reinforces AST’s role as the steward of testing excellence, not just tooling adoption.
Revenue and reach: Certification creates a sustainable income stream and positions AST as the global authority on responsible AI in testing.

By piloting the program with a small, engaged cohort, we’d prove value quickly and scale from there—showing the board it’s a low-risk, high-impact move."

What's one thing AST is doing right now that we should stop doing immediately, even if it's popular? And what's one bold experiment we should try, even if it might fail spectacularly?

"STOP: The Traditional Annual Conference Model
CAST 2023’s cancellation showed the flaw in clinging to a 20th-century conference format. Geographic, financial, and time barriers limit participation to a shrinking demographic, and an annual event can’t keep pace with fast-moving topics like AI in testing. Three days of content consumption doesn’t match how modern professionals learn and collaborate. We risk pouring energy into an expensive, exclusionary model that no longer delivers the impact we claim.

START: “AST Labs” – Continuous Experiment Platform
Replace the single flagship event with monthly virtual “testing laboratories” where small, global cohorts tackle current challenges—think science fair meets hackathon. Each month, 15–20 members form working groups to investigate a focused theme (AI ethics, sustainable automation, human-in-the-loop validation), share findings in live synthesis sessions, and release open-source outputs immediately. It’s accessible, responsive, and built for active knowledge creation, not passive consumption.

The risk?
It requires shifting from event-based revenue and committing to consistent facilitation. But it makes AST a year-round, global learning lab—faster, more inclusive, and more impactful. In an industry facing AI disruption and evolving quality expectations, I think a newer model would keep AST relevant and ahead of the curve."

What is your history with AST? Describe why you are interested in serving on the AST Board and what personal / professional strengths make you an ideal board member for the organization?

Follow Up: Are there any particular initiatives or areas you are especially interested in driving / leading?

"As an AST member since 2007, I apply context-driven testing, critical thinking, and professional integrity to large-scale, regulated challenges—from sustainable automation strategies to performance engineering and team mentorship. My current focus is on AI-augmented testing architectures, where:

AI handles scale and speed—processing thousands of test results, maintaining test stability, identifying critical test paths.

Humans provide judgment—validating compliance, evaluating user experience impact, investigating edge cases.

This human-in-the-loop approach ensures AI acts as a force multiplier, not a black box—preserving accuracy, compliance, and ethical standards. It enables me to design testing strategies that are both technologically advanced and grounded in human insight.

By combining strategic vision, technical depth, and global outreach, I’m committed to helping AST lead the conversation on intelligent testing—where technology enhances efficiency, but human expertise remains irreplaceable for risk, ethics, and innovation. Together, we can establish the standards and practices that ensure testing isn’t just faster, but smarter, more adaptive, and more responsible."

When you step down from this board, what do you want your Wikipedia entry to say about your contribution to AST and the testing profession? What impact are you personally committed to creating?

"I want my Wikipedia entry to say that I helped transform AST from a respected professional association into a global catalyst for intelligent, ethical, and inclusive testing practices. It would note that during my tenure, AST embraced AI responsibly, created the industry’s first Human-in-the-Loop testing certification, and replaced traditional event models with year-round, collaborative learning platforms that connected testers across every continent."

You're on a board committee with members from Japan, Brazil, Nigeria, Germany, and the US. The group is stuck on a decision because cultural communication styles are clashing and creating misunderstandings. What is your strategy for facilitating breakthrough and building genuine consensus?

Follow-up: Provide an example of how you've successfully worked across significant cultural or professional differences.

"When cultural styles clash, I call out the elephant in the room: “I’m noticing we’re talking past each other, and I suspect our different communication styles are creating friction. Can we pause and address this?” I flip the script by framing high- and low-context styles as complementary perspectives that strengthen decision-making. I separate positions from interests by asking, “What outcome do you most want to avoid?” and “What would success look like?” To give everyone space to contribute, I use asynchronous input—sending a short template with three key questions, allowing 48 hours for responses, then reconvening with all perspectives visible. Finally, I focus on finding the smallest possible agreement and build momentum from there.

Example from experience:
At Wipro, I led a 44-person testing team split between Switzerland and India. The Swiss engineers preferred direct, rapid critiques; the Indian engineers valued consensus and avoided public disagreement. Instead of forcing one style, I created parallel channels: small, focused sessions for rapid technical problem-solving (Swiss preference) and larger consensus-building meetings for strategy (Indian preference). This respected both approaches as valid testing methods. The result: we delivered a major release two weeks early with 98% defect detection, and team satisfaction increased across both cultures. I learned that cultural differences aren’t problems to fix—they’re strengths to orchestrate."