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Home » Quality during Design

Quality during Design

Quality during Design is the place for product designers to use quality thinking throughout the design process to create products others love, for less.

by Dianna Deeney Leave a Comment

QDD 176: Map the User Journey: Design for Seamless Experiences

QDD 176: Map the User Journey: Design for Seamless Experiences

Map the User Journey: Design for Seamless Experiences

It’s important to evaluate the customer’s use process during concept development.

Rather than focusing solely on what your product does, understanding how users will interact with it creates opportunities to design more intuitive, enjoyable experiences. By mapping out the steps users take from beginning to end using process flowcharts, development teams gain clarity on inputs, outputs, and the journey between them.

Whether you need to simplify complex steps, compare competitor approaches, or identify critical-to-quality elements, these analytical methods help prioritize design decisions based on what truly matters to users.

The goal is creating products that feel intuitive and natural, preventing those awkward validation testing moments when engineers want to shout, “You’re doing it wrong!” When we evaluate the use process early, we develop products others love while minimizing costly redesigns and user frustration.

[Read more…]

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QDD 175: Keven Wang’s 4-Step Journey to AI-Powered Quality Control (A Chat with Cross-Functional Experts)

QDD 175: Keven Wang’s 4-Step Journey to AI-Powered Quality Control (A Chat with Cross-Functional Experts)

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…]

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QDD 174: Design to Avoid Problems: Focusing on Symptoms Early On

QDD 174: Design to Avoid Problems: Focusing on Symptoms Early On

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…]

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QDD 173: Slow Down to Speed Up: Jake McKee’s Guide to AIX (A Chat with Cross-Functional Experts)

QDD 173: Slow Down to Speed Up: Jake McKee’s Guide to AIX (A Chat with Cross-Functional Experts)

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…]

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QDD 172: Uncovering Customer Desires: Understanding Benefits in Concept Development

QDD 172: Uncovering Customer Desires: Understanding Benefits in Concept Development

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.

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QDD 171: Blank Flipcharts Don’t Make Magic, But Templates Do

QDD 171: Blank Flipcharts Don’t Make Magic, But Templates Do

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…]

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QDD 170: Why Your Cross-Functional Team Isn’t Communicating Effectively (And How to Fix It)

QDD 170: Why Your Cross-Functional Team Isn’t Communicating Effectively (And How to Fix It)

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…]

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by Dianna Deeney 1 Comment

QDD 169: The Hidden Costs of Poor Concept Development in Product Design

QDD 169: The Hidden Costs of Poor Concept Development in Product Design

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…]

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QDD 168: Brighten Your Creative Spark

QDD 168: Brighten Your Creative Spark

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…]

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QDD 167: Redux: Choosing a Confidence Level for Test using FMEA

QDD 167: Redux: Choosing a Confidence Level for Test using FMEA

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…]

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QDD 166: AI in Design: Coming Full Circle

QDD 166: AI in Design: Coming Full Circle

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…]

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QDD 165: Redux: 5 Aspects of Good Reliability Goals and Requirements

QDD 165: Redux: 5 Aspects of Good Reliability Goals and Requirements

5 Aspects of Good Reliability Goals and Requirements

Good reliability requirements are going to drive our design decisions relating to the concept, the components, the materials, and other stuff. So, the moment to start defining reliability requirements is early in the design process. But, what makes a well-defined reliability requirement? There are five aspects it should cover: do you know what they are? 

We’ll describe what makes a good reliability requirement and examples of common (but not good) requirements.

[Read more…]

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QDD 164: Supplier Agreements: The Good, The Bad, and The Quality

QDD 164: Supplier Agreements: The Good, The Bad, and The Quality

Supplier Agreements: The Good, The Bad, and The Quality

In today’s fast-paced manufacturing landscape, the link between product quality and supplier agreements is more critical than ever.

Custom product development can be complex, and regarding suppliers, we can uncover hidden challenges. These come up when suppliers are not aligned with the quality standards necessary for our products to be successful.

Join us as we discuss various types of supplier agreements commonly encountered in new product launches. They are important, but do they have what you need to ensure quality?

Tune in to learn how to transform your supplier partnerships into an invaluable asset in your quest for quality excellence.

[Read more…]

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QDD 163: Practice Makes Improvement in Subjective Probability Estimations

QDD 163: Practice Makes Improvement in Subjective Probability Estimations

Practice Makes Improvement in Subjective Probability Estimations

Does the phrase “Subjective Probability Estimation” make you feel uncomfortable? If you’re a data-driven professional, you’re likely wary of each of those terms on their own, let alone combining them into one thing.

But we sometimes need to do it. And we can practice to get better at it.

In this episode, we emphasize the importance of subjective probability estimations in decision-making, especially in situations where concrete data may be unavailable or impractical.

We talk about:

  • Exploring the discomfort of subjective probability estimations
  • Utilizing Monte Carlo simulations for complex systems analysis
  • Addressing bias and improving estimation accuracy

[Read more…]

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QDD 162: Redux – Quality Tools are Legos of Development (and Their 7 Uses)

QDD 162: Redux – Quality Tools are Legos of Development (and Their 7 Uses)

Quality Tools are Legos of Development (and Their 7 Uses)

How are quality tools Legos of development?

We talk about two philosophies of brick building and our use of the family of quality tools.

We also talk about seven uses of quality tools in product development.

[Read more…]

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Quality during Design podcast logo

Tips for using quality tools and methods to help you design products others love, for less.


by Dianna Deeney
Quality during Design,
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Recent Episodes

QDD 176: Map the User Journey: Design for Seamless Experiences

QDD 175: Keven Wang’s 4-Step Journey to AI-Powered Quality Control (A Chat with Cross-Functional Experts)

QDD 174: Design to Avoid Problems: Focusing on Symptoms Early On

QDD 173: Slow Down to Speed Up: Jake McKee’s Guide to AIX (A Chat with Cross-Functional Experts)

QDD 172: Uncovering Customer Desires: Understanding Benefits in Concept Development

QDD 171: Blank Flipcharts Don’t Make Magic, But Templates Do

QDD 170: Why Your Cross-Functional Team Isn’t Communicating Effectively (And How to Fix It)

QDD 169: The Hidden Costs of Poor Concept Development in Product Design

QDD 168: Brighten Your Creative Spark

QDD 167: Redux: Choosing a Confidence Level for Test using FMEA

QDD 166: AI in Design: Coming Full Circle

QDD 165: Redux: 5 Aspects of Good Reliability Goals and Requirements

QDD 164: Supplier Agreements: The Good, The Bad, and The Quality

QDD 163: Practice Makes Improvement in Subjective Probability Estimations

QDD 162: Redux – Quality Tools are Legos of Development (and Their 7 Uses)

QDD 161 Cultivating a Culture of Craftsmanship within Quality Systems

QDD 160 The Mighty Power of Mini Reports

QDD 159 Celebrating a Year of Insights

QDD 158 Social Dynamics with Yakira Mirabito (A Chat with Cross-Functional Experts)

QDD 157 How Engineers Changed Thanksgiving

QDD 156 Predictive Analytics, Machine Learning, AI, and VR in Design Engineering

QDD 155 Improving Communication and the Workplace with Meagan Pollock (A Chat with Cross-Functional Experts)

QDD 154 Myths of Product Development – Part 2

QDD 153 Myths of Product Development – Part 1

QDD 152 Engineering Careers: A Panel Discussion with ‘Brilliant!’ and ‘How to Win Friends and Influence People’’

QDD 151 Revolutionize Your Technical Presentations: Mastering the Assertion Evidence Model and the Six P’s Framework

QDD 150 Prioritizing Customer Satisfaction in Product Design (the Kano Model)

QDD 149 Maximizing Meeting Value and Participation

QDD 148 Data Visualization Tips to Improve Analysis Skills

QDD 147 Effective Team Meetings: From Chaos to Cohesion

QDD 146 Unraveling QA, QC, Quality Assistance, and Quality 4.0

QDD 145 Simplifying Probabilities for Better Decision Making

QDD 144 From Solo to Collaboration: Lessons from Nobel Laureate Shuji Nakamura and Dale Carnegie

QDD 143 Bridging Triumph and Trial: A Panel Discussion about Engineering with ‘To Engineer is Human’ and ‘The Wright Brothers’

QDD 142 What is DFSS and How does Quality during Design Relate?

QDD 141 Exposing The Hidden Flaws of FMEA and Risk Matrices: Advancing Your Risk Assessment

QDD 140 Getting Information for Product Design with Fred Schenkelberg (A Chat with Cross-Functional Experts) – Part 2

QDD 139 Getting Information for Product Design with Fred Schenkelberg (A Chat with Cross-Functional Experts) – Part 1

QDD 138 Harnessing Team Insights for Risk Analysis using Probabilities

QDD 137 From “Fall-Through” to “Follow-Through”: A Proactive Strategy for Design

QDD 136 Welcome Back! New, Upcoming Opportunities with FMEA and Quality during Design

QDD 135 Taking a Brief Pause: Reflecting on Quality During Design’s Journey and Preparing for What’s Next

QDD 134 Timing Reliability in Product Design, with Jeffrey Lewis (A Chat with Cross-Functional Experts)

QDD 133 Driving Effective Conversations-Prioritizing and Decision Making at Concept Development and Beyond

QDD 132 Driving Effective Conversations-Three Major Aspects to Consider for DfX

QDD 131 Driving Effective Conversations-Taking the Lead in Working Meetings

QDD 130 Supply Chain Management during Design, with Kevin Bailey (A Chat with Cross-Functional Experts)

QDD 129 The Strategic Gamechanger: Quality during (Product) Design

QDD 128 Leveraging Proven Frameworks for Concept Development

QDD 127 Understanding Cross-Functional Collaboration

QDD 126 Exploring the Problem Space: A Key Principle for Robust Product Design and Project Success

QDD 125 Exploring Product Development and AI Through Literature

QDD 124 Design for User Tasks using an Urgent/Important Matrix

QDD 123 Information Development in Design, with Scott Abel – Part 2 (A Chat with Cross-Functional Experts)

QDD 122 Information Development in Design, with Scott Abel – Part 1 (A Chat with Cross-Functional Experts)

QDD 121 Crafting Effective Technical Documents for the Engineering Field

QDD 120 How to use FMEA for Complaint Investigation

QDD 119 Results-Driven Decisions, Faster: Accelerated Stress Testing as a Reliability Life Test

QDD 118 Journey from Production to Consumption: Enhancing Product Reliability

QDD 117 QDD Redux: Choose Reliability Goals for Modules

QDD 116 Reliability Engineering during Design, with Adam Bahret (A Chat with Cross-Functional Experts)

QDD 115 QDD Redux: 5 Options to Manage Risks during Product Engineering

QDD 114 The Instant Glory of Projects

QDD 113 What to do about Virtual Meetings

QDD 112 QDD Redux: How to self-advocate for more customer face time (and why it’s important)

QDD 111 Engineering with Receptivity, with Sol Rosenbaum (A Chat with Cross-Functional Experts)

QDD 110 Don’t Wish for Cross-Functional Buy-in on Product Designs – Plan to Get It!

QDD 109 Before You Start Engineering Solutions, Do This

QDD 108 QDD Redux Ep. 4: Statistical vs. Practical Significance

QDD 107 QDD Redux Ep. 3: When it’s Not Normal: How to Choose from a Library of Distributions

QDD 106 QDD Redux Ep. 2: How to Handle Competing Failure Modes

QDD 105 QDD Redux Ep. 1: How Many Do We Need to Test?

QDD 104 The Fundamental Thing to Know from Statistics for Design Engineering

QDD 103 What to do for Effective and Efficient Working Meetings

QDD 102 Get Design Inputs with Flowcharts

QDD 101 Quality Tools are Legos of Development (and Their 7 Uses)

QDD 100 Lessons Learned from Coffee Pod Stories

QDD 099 Crucial Conversations in Engineering, with Shere Tuckey (A Chat with Cross-Functional Experts)

QDD 098 Challenges Getting Team Input in Concept Development

QDD 097 Brainstorming within Design Sprints

QDD 096 After the ‘Storm: Compare and Prioritize Ideas

QDD 095 After the ‘Storm: Pareto Voting and Screening Methods

QDD 094 After the ‘Storm: Group and Explore Ideas

QDD 093 Product Design with Brainstorming, with Emily Haidemenos (A Chat with Cross Functional Experts)

QDD 092 Ways to Gather Ideas with a Team

QDD 091 The Spirits of Technical Writing Past, Present, and Future

QDD 090 The Gifts Others Bring

QDD 089 Next Steps after Surprising Test Results

QDD 088 Choose Reliability Goals for Modules

QDD 087 Start a System Architecture Diagram Early

QDD 086 Why Yield Quality in the Front-End of Product Development

QDD 085 Book Cast

QDD 084 Engineering in the Color Economy

QDD 083 Getting to Great Designs

QDD 082 Get Clarity on Goals with a Continuum

QDD 081 Variable Relationships: Correlation and Causation

QDD 080 Use Meetings to Add Productivity

QDD 079 Ways to Partner with Test Engineers

QDD 078 What do We do with FMEA Early in Design Concept?

QDD 077 A Severity Scale based on Quality Dimensions

QDD 076 Use Force Field Analysis to Understand Nuances

QDD 075 Getting Use Information without a Prototype

QDD 074 Finite Element Analysis (FEA) Supplements Test

QDD 073 2 Lessons about Remote Work for Design Engineers

QDD 072 Always Plot the Data

QDD 071 Supplier Control Plans and Design Specs

QDD 070 Use FMEA to Design for In-Process Testing

QDD 069 Use FMEA to Choose Critical Design Features

QDD 068 Get Unstuck: Expand and Contract Our Problem

QDD 067 Get Unstuck: Reframe our Problem

QDD 066 5 Options to Manage Risks during Product Engineering

QDD 065 Prioritizing Technical Requirements with a House of Quality

QDD 064 Gemba for Product Design Engineering

QDD 063 Product Design from a Data Professional Viewpoint, with Gabor Szabo (A Chat with Cross Functional Experts)

QDD 062 How Does Reliability Engineering Affect (Not Just Assess) Design?

QDD 061 How to use FMEA for Complaint Investigation

QDD 060 3 Tips for Planning Design Reviews

QDD 059 Product Design from a Marketing Viewpoint, with Laura Krick (A Chat with Cross Functional Experts)

QDD 058 UFMEA vs. DFMEA

QDD 057 Design Input & Specs vs. Test & Measure Capability

QDD 056 ALT vs. HALT

QDD 055 Quality as a Strategic Asset vs. Quality as a Control

QDD 054 Design Specs vs. Process Control, Capability, and SPC

QDD 053 Internal Customers vs. External Customers

QDD 052 Discrete Data vs. Continuous Data

QDD 051 Prevention Controls vs. Detection Controls

QDD 050 Try this Method to Help with Complex Decisions (DMRCS)

QDD 049 Overlapping Ideas: Quality, Reliability, and Safety

QDD 048 Using SIPOC to Get Started

QDD 047 Risk Barriers as Swiss Cheese?

QDD 046 Environmental Stress Testing for Robust Designs

QDD 045 Choosing a Confidence Level for Test using FMEA

QDD 044 Getting Started with FMEA – It All Begins with a Plan

QDD 043 How can 8D help Solve my Recurring Problem?

QDD 042 Mistake-Proofing – The Poka-Yoke of Usability

QDD 041 Getting Comfortable with using Reliability Results

QDD 040 How to Self-Advocate for More Customer Face Time (and why it’s important)

QDD 039 Choosing Quality Tools (Mind Map vs. Flowchart vs. Spaghetti Diagram)

QDD 038 The DFE Part of DFX (Design For Environment and eXcellence)

QDD 037 Results-Driven Decisions, Faster: Accelerated Stress Testing as a Reliability Life Test

QDD 036 When to use DOE (Design of Experiments)?

QDD 035 Design for User Tasks using an Urgent/Important Matrix

QDD 034 Statistical vs. Practical Significance

QDD 033 How Many Do We Need To Test?

QDD 032 Life Cycle Costing for Product Design Choices

QDD 031 5 Aspects of Good Reliability Goals and Requirements

QDD 030 Using Failure Rate Functions to Drive Early Design Decisions

QDD 029 Types of Design Analyses possible with User Process Flowcharts

QDD 028 Design Tolerances Based on Economics (Using the Taguchi Loss Function)

QDD 027 How Many Controls do we Need to Reduce Risk?

QDD 026 Solving Symptoms Instead of Causes?

QDD 025 Do you have SMART ACORN objectives?

QDD 024 Why Look to Standards

QDD 023 Getting the Voice of the Customer

QDD 022 The Way We Test Matters

QDD 021 Designing Specs for QA

QDD 020 Every Failure is a Gift

QDD 019 Understanding the Purposes behind Kaizen

QDD 018 Fishbone Diagram: A Supertool to Understand Problems, Potential Solutions, and Goals

QDD 017 What is ‘Production Equivalent’ and Why Does it Matter?

QDD 016 About Visual Quality Standards

QDD 015 Using the Pareto Principle and Avoiding Common Pitfalls

QDD 014 The Who’s Who of your Quality Team

QDD 013 When it’s Not Normal: How to Choose from a Library of Distributions

QDD 012 What are TQM, QFD, Six Sigma, and Lean?

QDD 011 The Designer’s Important Influence on Monitoring After Launch

QDD 010 How to Handle Competing Failure Modes

QDD 009 About Using Slide Decks for Technical Design Reviews

QDD 008 Remaking Risk-Based Decisions: Allowing Ourselves to Change our Minds.

QDD 007 Need to innovate? Stop brainstorming and try a systematic approach.

QDD 006 HALT! Watch out for that weakest link

QDD 005 The Designer’s Risk Analysis affects Business, Projects, and Suppliers

QDD 004 A big failure and too many causes? Try this analysis.

QDD 003 Why Your Design Inputs Need to Include Quality & Reliability

QDD 002 My product works. Why don’t they want it?

QDD 001 How to Choose the Right Improvement Model

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