Keven Wang’s 4-Step Journey to AI-Powered Quality Control (A Chat with Cross-Functional Experts)

Dianna Deeney interviews Keven Wang from UnitX. Keven shared valuable insights about how AI-powered quality control is revolutionizing factories worldwide, beyond inspection. With over 160 customers benefiting from this technology, Wang’s expertise offers a glimpse into both the present capabilities and future potential of AI in manufacturing.

This interview is part of our series, “A Chat with Cross Functional Experts”. Our focus is speaking with people that are typically part of a cross-functional team within engineering projects.

About Keven

Keven Wang is the Co-Founder & CEO of UnitX, a leading AI Robotics company automating visual inspection in factories. Keven graduated from Stanford University with a degree in Computer Science concentrating on AI. He has visited 135+ manufactures worldwide helping to improve yield and quality, and holds patents in AI
technology for visual inspection.

Keven and Dianna talk about

• Best time to implement AI-powered quality control
• What it takes to train AI
• Best practices in validating new vision systems
• Keven’s 4-step journey to AI manufacturing
• Real success stories

Perhaps most surprising is Kevin’s observation that the greatest challenge in AI adoption isn’t technical but human—aligning teams, establishing shared goals, and helping personnel become comfortable with the technology. This insight underscores that successful implementation requires thoughtful change management alongside technical expertise.
[Read more…]

Design to Avoid Problems: Focusing on Symptoms Early On

The art of product development is fraught with challenges, but perhaps none is more heartbreaking than hearing negative customer feedback when you thought you were at the finish line.

Picture this all-too-common scenario: after months of development and seemingly thorough customer engagement throughout the process, you finally present your polished product to users only to hear crushing feedback like “I don’t like that” or “That doesn’t work for me.” These late-stage revelations often necessitate extensive redesigns, creating costly delays and team frustration.

This painful experience begs the question: how could we have missed these issues despite our efforts to involve customers along the way?

[Read more…]

Slow Down to Speed Up: Jake McKee’s Guide to AIX (A Chat with Cross-Functional Experts)

Dianna Deeney interviews Jake McKee to explore AI Experience Design (AIX), the practice of designing relationships between humans and intelligent AI systems, and how it’s reshaping product development in today’s rapidly advancing technological landscape.

In this eye-opening conversation, Jake draws a powerful parallel between today’s AI transformation and the digital transformation of the early 2000s. The key difference? Scale and speed. While the early web had natural boundaries, AI presents an almost limitless frontier advancing at breathtaking pace. This creates unique challenges for product teams caught between executive demands for AI innovation and the practical realities of implementation. Jake explains how this pressure often leads to a predictable cycle of over-reliance followed by algorithm aversion before teams eventually find balance.

Rather than viewing AI as a replacement for human capabilities, Jake advocates for seeing it as a “creative and critical partner” that enhances our thinking and processes. He shares practical examples of how product teams can thoughtfully integrate AI – from using it to test early concepts against customer data to employing it as a collaborative ideation tool. Throughout our discussion, Jake emphasizes that successful AI integration depends on maintaining human relationships at the center of product development, not pushing customers further away behind technological barriers.

This interview is part of our series, “A Chat with Cross Functional Experts”. Our focus is speaking with people that are typically part of a cross-functional team within engineering projects. We discuss their viewpoints and perspectives regarding new products, the values they bring to new product development, and how they’re involved and work with product design engineering teammates. [Read more…]

Uncovering Customer Desires: Understanding Benefits in Concept Development

In product development, we often get caught up in the technical specifications and features we’re creating, forgetting the fundamental reason we’re building products in the first place: to provide benefits that improve users’ lives. This foundational concept of benefits versus features deserves revisiting regularly, especially when we’re deep in the weeds of development work.

[Read more…]

Blank Flipcharts Don’t Make Magic, But Templates Do

In product development, the “fuzzy front end” of concept development often represents both tremendous opportunity and significant challenge. During this critical phase, teams are tasked with defining problems, understanding customers, and generating solutions—all before any engineering begins.

How we navigate this phase dramatically impacts bottom-line results, market share, customer satisfaction, and whether projects even launch at all.

What makes concept development particularly difficult is that teams typically lack something concrete to discuss. Without prototypes or developed products, conversations can become abstract and unfocused. This challenge is compounded when cross-functional team members approach problems from vastly different perspectives, sometimes unknowingly working to solve entirely different issues altogether.

The traditional approach of gathering everyone in a room for open brainstorming sessions has proven remarkably ineffective. Research confirms what many of us have experienced: teams engaged in unstructured brainstorming typically generate fewer ideas, and those ideas are often of lower quality compared to more structured approaches.

The solution lies in using visual models and templates—structured frameworks that guide the creative process and facilitate meaningful team collaboration.

[Read more…]

Why Your Cross-Functional Team Isn’t Communicating Effectively (And How to Fix It)

Have you ever watched a promising product idea slowly die in the fuzzy space between “great concept” and “actual development”? You’re not alone.

The journey from product idea to market-ready solution contains a critical yet often overlooked phase: concept development. This is where cross-functional teams must align their diverse perspectives to create a solid foundation for design. But as many product developers discover, this is precisely where communication frequently breaks down.

In this episode, we dive deep into why cross-functional teams struggle to communicate effectively during early concept development and how to fix it.

[Read more…]

The Hidden Costs of Poor Concept Development in Product Design

The hidden costs of poor product development can devastate your project timeline, budget, and ultimate market success. Drawing from Dr. Robert Cooper’s research, this episode reveals how skipping proper concept development—the critical “fuzzy front end” of product design—leads many teams into a costly “ready-fire-aim” approach.

[Read more…]

Brighten Your Creative Spark

Ever hit that wall where your creative tank feels bone dry? That moment when you’ve been grinding away at your projects, head down for so long that when someone asks for innovation, you come up empty? You’re not alone.

Creative slumps happen when we get too immersed in our specialized domains. As engineers and designers, we develop expertise through consistent application of familiar tools and techniques. But that same specialization creates mental echo chambers where we recycle the same ideas and follow habitual thought patterns. The result? When innovation is needed most, we feel frustratingly blocked.

The solution lies in cross-pollination – deliberately exposing ourselves to diverse inputs that spark unexpected connections.

[Read more…]

Choosing a Confidence Level for Test using FMEA

We’re developing requirements for our product, including setting reliability requirements. Or we’re setting acceptance criteria for our test plans.

What confidence levels do we choose? We don’t have to blindly set them – we can base it off the risks of failure, using our FMEA (failure mode effects analysis).

[Read more…]

AI in Design: Coming Full Circle

As a Generation X engineer, I’ve witnessed remarkable shifts in how we approach design engineering.

Recently, I saw an article suggesting Gen X is frustrated because the skills we learned early in our careers no longer apply in today’s technological landscape. This characterization made me pause and reflect. While our tools have certainly evolved dramatically, I believe we’re experiencing something more nuanced than obsolescence.

With AI in design, we’re coming full circle, with artificial intelligence and machine learning enhancing rather than replacing the fundamental skills we developed.

[Read more…]