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Home » Quality during Design » Page 2

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

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

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

Discover how predictive analytics, machine learning, AI (artificial intelligence), and VR (virtual reality) reshape some of the ways we approach design. In this episode, we journey from the origins of predictive analytics to the convergence of big data, IoT, digital twins and more, paving the way for innovative product development. We’ll also discuss the potential of virtual reality to enhance collaboration and communication within design processes.

This episode isn’t just about embracing the latest tech trends; it’s about knowing when simpler solutions will suffice and the critical role of data stewardship. This overview will help you to understand the big picture of where these tools fit into your design process. Listen-in so you can better choose when to use them to optimize your design engineering endeavors, or not.

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

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

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

Communication challenges in engineering? Dianna Deeney interviews Dr. Meagan Pollock about improving communication and the workplace. They explore how improving communication within cross-functional teams involves active listening, continuous learning, and adapting communication styles to create a more inclusive and productive environment.

This interview is part of our series, “A Chat with Cross Functional Experts”.

About Meagan

Dr. Meagan Pollock began her career playing with light projection on tiny, microscopic mirrors as an engineer for Texas Instruments. Through her company, Engineer Inclusion and Engineered Organizations, she now utilizes metaphorical projectors and mirrors to shine a light on micro and macro social systems that, when adjusted, improve student and employee success in science, technology, engineering, and mathematics. A TEDx speaker, author, and a past recipient of the National Science Foundation Graduate Research Fellowship, Meagan holds a PhD in engineering education from Purdue University, an MS in electrical engineering from Texas Tech University, and a BS in computer science from Texas Woman’s University. As an engineer turned educator, Meagan focuses on helping others intentionally engineer inclusion® in education and the workforce.

Meagan and Dianna talk about

Diversity Drives Better Outcomes: Diverse teams consistently demonstrate improved results, leading to better design, products, and market success. However, Dr. Pollock’s driving motivation extends beyond the business case, emphasizing the ethical imperative to create environments where everyone feels valued and can contribute their best.

High-Performing Teams Prioritize Communication: Dr. Pollock cites research from Ron Friedman (Insight 80/Harvard Business Review) revealing that high-performing teams consistently engage in communication-driven practices like bonding, authenticity, appreciation, collaboration, and proactive conflict resolution.

Communication Styles are Shaped by Diverse Factors: Individual communication styles are influenced by personality, culture, upbringing, education, and lived experiences. Recognizing these differences is crucial for effective communication within diverse teams.

The Role of AI in Communication: While AI tools can aid in refining written communication, Dr. Pollock cautions that human awareness and skill are still essential to address the nuances of high-context vs. low-context communication styles.

Continuous Growth and Expansion: Dr. Pollock encourages professionals to actively seek out opportunities for continuous learning and exposure to diverse viewpoints through conferences, podcasts, social media, and interactions with individuals from different backgrounds.

[Read more…]

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QDD 154 Myths of Product Development – Part 2

QDD 154 Myths of Product Development – Part 2

Myths of Product Development – Part 2

There are myths of product development that Quality can help with.

In the previous Part 1, we talked about how we cannot treat the product development process like a manufacturing process. But, there are ways we can apply Quality to the product development process without doing this. Quality can help with early concept development, to evaluate data, and to manage teamwork.

Listen to this Part 2 as we continue to unpack Harvard Business Review’s “The Six Myths of Product Development” by Stefan Thomke and Donald Reinersten. We review the final three of the six myths in the article, revealing the misconceptions around timing development cycles, getting things right the first time, and adding many features.

Discover how quality thinking and systems approaches not only enhances collaboration but also improves user experience from the ground up. By integrating insights from the concept phase, teams can make more informed and strategic decisions throughout the development lifecycle.

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QDD 153 Myths of Product Development – Part 1

QDD 153 Myths of Product Development – Part 1

Myths of Product Development – Part 1

There are myths of product development that Quality can help with.

How do we integrate quality with product development? Using quality tools and techniques early in the design phase can lead to more successful outcomes. But we cannot do it by treating the product development process like a manufacturing process.

Listen to this Part 1 as we unpack Harvard Business Review’s “The Six Myths of Product Development” by Stefan Thomke and Donald Reinersten. We review three of the six myths in the article, revealing the misconceptions around resource allocation, batch processing, and rigid development plans.

Join us as we review why treating a product development process like a manufacturing process is riddled with pitfalls. The reasons why it doesn’t work provides us understanding to what we CAN use quality tools and techniques to do to improve product development.

This is Part 1. Tune into the next episode for Part 2, where we will review the remaining three myths of product development.

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

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

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

Join Steven Giako and Dianna Deeney in a panel discussion of central themes in the books Brilliant! Shuji Nakamura And the Revolution in Lighting Technology and How to Win Friends and Influence People.

How do these two books relate with one another, and what lessons can be learned by combining and contrasting their messages? How can the story in Brilliant! relate to the advice given in How to Win Friends and Influence People? What are potential lessons learned for engineers today who are leading in the edges of innovation?

The reviewers explore these two books together by combining common themes for discussion points and add their own experiences from their engineering careers. Their goals are to link literature to current-day challenges and for participants to:

  • Gain different perspectives, both from literature and from the reviewers.
  • Get inspired toward action: to try something new, read one of the books, or make new connections with others.
  • Inspire others in their engineering work.

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

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

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

Can the way you present technical information drastically impact decision-making? Absolutely. In our latest podcast episode, we explore transformative methods that can elevate your technical presentations to a whole new level. Instead of relying on lifeless bullet points, the assertion evidence model encourages you to make clear recommendations at the top of each slide, coupled with compelling graphical evidence. We also delve into the six P’s—Perspective, Problem, Principle, Proposal, Proof, and Process—that serve as the backbone for structuring your presentation. These elements not only enhance learning but also facilitate more informed and productive discussions within your team.

If the thought of presenting to your team makes you anxious, we’ve got you covered. We’ll share practical advice to boost your confidence and help you deliver your findings more effectively. By focusing on the value of your insights and using the six P’s framework, you’ll be well-equipped to engage your audience and convey crucial information. As we approach a busy season of deadlines and presentations, challenge yourself to adopt these methods for the benefit of your team.

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

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

Prioritizing Customer Satisfaction in Product Design (the Kano Model)

How do you balance customer wants with project constraints? If your customer-facing teammates are saying our customers want this, that and the other thing, which ones do we prioritize over others?

Not all features are equal in the eyes of our customers. And not all features are value-added, either.

In this episode, we delve into how to prioritize customer wants using the powerful Kano Model, a tool that maps customer satisfaction against the implementation of product features.

You’ll learn how to differentiate between essential and non-essential features, ensuring that your design truly resonates with your customers. This episode walks through the intricacies of the Kano Model’s two-by-two matrix and the different satisfaction levels represented by various lines and curves.

Too complex? We break it down. Prioritize your features based on their impact to the customer using their voice. Then, consider how well you want to implement that in your design using the Kano Model.

Get ready for practical tips and proven strategies to enhance your product’s value while managing cost, time, and design trade-offs. This episode is an introduction to the Kano Model for design.

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QDD 149 Maximizing Meeting Value and Participation

QDD 149 Maximizing Meeting Value and Participation

Maximizing Meeting Value and Participation

Our team is saying “No” to our co-work session.

We want to have a working meeting with them to get important information and make decisions. Since they declined, now we are missing an important viewpoint and source of design inputs! Plus, it could prove disastrous, later, when we have a pass/go decision on our concept designs.

In this week’s episode we talk about ways to overcome this challenge, beyond typical schedule availability. Tune in as we uncover practical strategies that make co-working sessions truly valuable which will help us in maximizing meeting value and participation.

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QDD 148 Data Visualization Tips to Improve Analysis Skills

QDD 148 Data Visualization Tips to Improve Analysis Skills

Data Visualization Tips to Improve Analysis Skills

Can visualizing your data be the game-changer you’ve been missing?

Discover why plotting isn’t just a step in data analysis, but a crucial practice that can reveal uniformity, natural variations, and even potential flaws in your test methods. Learn about the importance of recognizing multiple failure modes and how to avoid common pitfalls such as mishandling outliers and making incorrect assumptions. This episode is packed with actionable advice to enhance your decision-making process.

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QDD 147 Effective Team Meetings: From Chaos to Cohesion

QDD 147 Effective Team Meetings: From Chaos to Cohesion

Effective Team Meetings: From Chaos to Cohesion

In today’s fast-paced and highly competitive environment, team meetings can often feel like a necessary evil. They can be messy, complicated, and sometimes a complete waste of time. However, in this episode, we reveal how to turn these often-chaotic gatherings into cohesive, productive, and efficient sessions.

One of the primary focuses of this episode is the application of Six Sigma, continuous improvement, product development, and project management strategies to team meetings. The podcast discusses how successful facilitators utilize similar techniques to transform the way ideas are generated, examined, and prioritized. By breaking down the process into discovery, examination, and prioritization phases, team meetings can become a fertile ground for creativity and actionable decisions.

In addition to these methodologies, the podcast provides real-life scenarios to illustrate how these techniques can be applied. For instance, it discusses how to break down an FMEA into manageable parts and conduct separate meetings for each part. This ensures that each aspect of the FMEA is thoroughly examined and that the team can focus on specific issues without being overwhelmed by the entire process.

Overall, this podcast episode provides a comprehensive guide on how to transform team meetings. By focusing on discovery, examination, and prioritization, and utilizing tools like affinity diagrams, tree diagrams, and fishbone diagrams, teams can ensure that their meetings are productive, collaborative, and efficient. The episode also emphasizes the importance of staying organized and breaking down complex issues into manageable parts, ensuring that every team member’s input is valued and that actionable decisions are made.

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

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

Unraveling QA, QC, Quality Assistance, and Quality 4.0

I’m sure you’ve heard it before:

Quality is everyone’s responsibility.

You’ve also heard the terms “quality assurance” and “quality control”. Have you heard of “quality assistance” or “Quality 4.0?

What’s the difference between all of these terms, especially with quality assurance and quality control, the two oldest terms in the list?

As a designer, how are you supposed to interact with these terms? If quality is everyone’s responsibility, then what are yousupposed to do for quality assurance and quality control? Are there different ways you’re supporting each of these ideas inhow you design?

How does quality assistance and Quality 4.0 fit into the design picture?

Let’s explore some official definitions, the changes in quality that led to the quality assistance and Quality 4.0 terms and givesome context of quality with respect to design.

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QDD 145 Simplifying Probabilities for Better Decision Making

QDD 145 Simplifying Probabilities for Better Decision Making

Simplifying Probabilities for Better Decision Making

Ever find yourself stuck trying to gauge the likelihood of an event?

What if you could transform your approach to probability assignments with just one simple trick?

On this episode of Quality During Design, we talk about simplifying probabilities for better decision making. We uncover a method to assign probabilities and occurrence ratings during preliminary assessments.

We share a technique that involves breaking down an event into smaller, more manageable parts, helping you understand and analyze it better. This method makes it easier to assign likelihoods because it provides better understanding of the event, clearer context, and consideration of what may drive things to happen.

Then, we relate these parts to conditional probabilities. We offer example explanations and practical applications to help you grasp conditional probabilities.

Plus, for those looking for additional resources, we have a cheat sheet that can further simplify these concepts for you. Not a subscriber yet? Visit qualityduringdesign.com to sign up and start receiving valuable insights directly in your inbox.

Join us to learn how these techniques can simplify probabilities, improve your assessments, and boost your team’s decision-making.

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

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

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

 

Are you harnessing the power of collaboration in your professional life? What could Shuji Nakamura, the Nobel Prize-winning engineer behind the blue LED, teach you about teamwork and career growth? Discover how transitioning from an independent researcher to a collaborative leader can elevate your professional journey.

Join me, Dianna Deeney, as I share insights from a recent event co-hosted for the IEEE Philadelphia Professional Communication Society. We’ll uncover valuable lessons from the books “Brilliant!” by Bob Johnstone and Dale Carnegie’s classic “How to Win Friends and Influence People,” both of which spotlight the transformative power of teamwork and communication.

Learn about Shuji Nakamura’s career evolution and find out how his story parallels many of our own professional paths. I’ll also dive into my personal shift from solitary work to embracing collaboration in quality engineering. By leveraging quality tools for better communication and idea sharing within cross-functional teams, you too can drive more successful engineering and design projects. This episode is packed with actionable advice and inspiring anecdotes to help you thrive in your professional life.

Don’t miss out on knowing THE baseline approach that can lead to collaboration success!

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

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

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

Anne Meixner, Dr. Vaneeta Kaur Grover, and Dianna Deeney join in a panel discussion about engineering and STEM. They met for an engineering book review to discuss the ideas that came from the books themselves and to link literature about engineering to current-day challenges.

Uncover the intricacies of engineering’s past and present as we dissect To Engineer is Human and The Wright Brothers. Our collective expertise spans the gamut from semiconductor testing to biotechnology statistics, offering a rich tapestry of perspectives on these seminal works. This episode promises a journey through the shared trials and triumphs that shape our engineering landscape and a candid examination of the setbacks we seldom speak about.

Their wish for listeners is to gain different perspectives and to get inspired toward action: to try something new, read one of the books, or make new connections with others.

The episode isn’t complete without their review of the books that sparked this enriching dialogue. You’ll hear why “The Wright Brothers” and “To Engineer is Human” scored high on our recommendation list for anyone keen on understanding the essence of engineering, from the glory of breakthroughs to the wisdom found in failures. Join us for this episode, where we bridge the divide between historical achievement and contemporary challenges in the ever-evolving world of STEM.

This panel discussion about engineering and STEM originally aired on Linked-In Live on November 1, 2023.

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

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

What is DFSS and How does Quality during Design Relate?

We explore the history, philosophy, and methodology of Design for Six Sigma (DFSS) and explore how it relates to Quality during Design (hint: they’re not the same).

Six Sigma

We dissect the acronyms DMAIC and DMADV, revealing how these methodologies are blueprints for achieving excellence. From statistics to Motorola’s legendary quality standards and other history of six sigma, you’ll begin to see how DFSS may relate with your organization’s current design development processes.

Quality during Design

Quality during Design is not DFSS. It can be part of DFSS or any other product development process. Quality during Design is a philosophy that emphasizes the benefits of cross-functional team involvement and a methodology that uses quality tools to refine design concepts early on. Quality tools bridge the gap between team communication and innovative concept development. We review why skipping the crucial steps of questioning and investigating can lead to missed opportunities.

As we navigate through the essential stages of product development, we invite you to join us on this enlightening path to creating impactful and high-quality solutions that stand the test of time—and the marketplace.

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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 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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