Successful product development is more than having a great idea. A lot more. Manufacturers today face increasing pressure to innovate faster, meet evolving customer expectations, navigate complex regulations, and bring higher-quality products to market without driving up costs. Whatever the product (medical devices, industrial equipment, consumer products, or software-enabled systems) success is hard to achieve without following a structured product development process. 

A well-defined product development process provides a repeatable framework that guides organizations from initial concept through engineering, validation, manufacturing, and launch. Rather than relying on disconnected spreadsheets, emails, and tribal knowledge, leading companies establish standardized workflows that improve collaboration, reduce risk, and accelerate decision-making. 

As products become increasingly connected and multidisciplinary, organizations must also manage mechanical, electrical, software, and systems engineering activities together. This makes effective requirements management, cross-functional collaboration, and digital product data more important than ever. 

In this article we’ll explore every stage of the new product development process, compare common product development methodologies, discuss common challenges, and share best practices for building a more efficient and scalable product development strategy. 

But first… Is Your Product Development Process Ready to Improve?

Before investing in new tools or process changes, determine where your organization stands today. Use this checklist to identify whether disconnected workflows, limited visibility, or recurring development challenges signal the need for a product development assessment.

What Is the Product Development Process? 

The product development process is the structured series of activities organizations follow to transform an idea into a commercially available product. It encompasses everything from identifying market opportunities and gathering customer requirements to engineering design, testing, manufacturing preparation, and product launch. 

Although every organization adapts the process to fit its products and industry, most successful companies follow a consistent framework that ensures every product meets technical, business, and customer requirements before reaching the market. 

A mature product development framework helps organizations: 

Rather than treating product development as a collection of isolated engineering tasks, modern organizations view it as an integrated business process spanning multiple departments and technologies. 

Product Development vs. New Product Development 

While the terms are often used interchangeably, there is a subtle distinction between product development and new product development (NPD). 

Product development refers to the ongoing creation, improvement, or enhancement of products throughout their lifespan. This may include introducing new features, redesigning components, improving manufacturability, or responding to customer feedback. 

New product development, on the other hand, focuses specifically on bringing entirely new products to market, from concept through commercialization. The new product development process typically begins with identifying an opportunity and concludes when the product is successfully launched. 

Both processes rely on structured planning, cross-functional collaboration, and disciplined execution to minimize risk and maximize market success. 

Product Development vs. Product Lifecycle 

Another common point of confusion is the difference between the product development process and the product lifecycle. The product development process focuses on creating and launching a product. It represents only one portion of the broader product lifecycle, which includes: 

Understanding this distinction is important because decisions made during development influence every later phase of the product lifecycle. Well-managed product data, design decisions, and engineering documentation continue delivering value long after the product reaches customers. 

Why a Structured Product Development Process Matters 

Without a standardized process, organizations often experience missed deadlines, duplicated work, inconsistent documentation, communication breakdowns, and expensive engineering changes. 

A structured product development workflow creates consistency while enabling teams to move faster with greater confidence. 

Faster Time-to-Market 

Competitive markets reward organizations that can introduce products quickly without sacrificing quality. 

By establishing standardized reviews, clearly defined milestones, and repeatable engineering workflows, teams eliminate unnecessary delays and reduce uncertainty throughout development. 

Instead of reinventing the process for every project, engineers can focus on solving technical problems rather than administrative ones. 

Better Engineering Collaboration 

Today’s products rarely come from a single engineering discipline. Mechanical engineers, electrical engineers, software developers, manufacturing engineers, quality teams, suppliers, and project managers all contribute throughout development. 

Strong engineering collaboration ensures everyone works from the same product information while reducing communication gaps that often lead to rework. 

Modern collaboration tools provide centralized product data, version control, and shared visibility into requirements, designs, and engineering changes. 

Improved Requirements Management 

Poorly defined requirements remain one of the leading causes of project delays and redesigns. Effective requirements management establishes clear expectations before design begins while maintaining traceability throughout development. 

As requirements evolve, teams can immediately understand how changes affect designs, testing, compliance documentation, manufacturing, and customer deliverables. 

For organizations developing regulated products, maintaining complete traceability between requirements, designs, risks, and verification activities is especially critical. 

Reduced Engineering Change Costs 

Engineering changes become increasingly expensive the later they occur. Finding a design issue during concept development may require only a few hours of engineering effort. Discovering that same issue after tooling, manufacturing, or product launch can cost thousands (or millions) of dollars. 

An effective engineering change management process helps organizations evaluate proposed changes, assess downstream impacts, obtain approvals efficiently, and maintain accurate documentation throughout the product lifecycle. 

Stronger Regulatory Compliance 

Manufacturers operating in industries such as medical devices, aerospace, defense, and automotive face strict documentation and traceability requirements. 

A structured product development process helps organizations demonstrate compliance by ensuring engineering decisions, requirements, testing activities, risk analyses, and approvals are properly documented and linked together. 

This level of visibility simplifies audits while reducing compliance risk. 

Better Business Outcomes 

Ultimately, a disciplined product development strategy delivers measurable business benefits beyond engineering efficiency. 

Organizations with mature development processes often experience: 

The Eight Stages of the Product Development Process 

While organizations may use different terminology, most successful new product development processes follow eight major stages. Each stage builds upon the previous one while reducing uncertainty before additional investments are made. 

Stage 1: Idea Generation 

Every successful product begins with identifying a meaningful opportunity. Ideas may originate from customers, internal innovation initiatives, market research, competitive analysis, supplier partnerships, or emerging technologies. 

During this stage, organizations focus on answering questions such as: 

Rather than evaluating every idea equally, many organizations use structured scoring criteria based on customer value, technical feasibility, business potential, and strategic alignment. 

The objective isn’t simply to generate ideas, it’s to identify ideas worth pursuing. 

Stage 2: Product Discovery and Requirements Definition 

Once an opportunity has been identified, teams begin defining exactly what the product must accomplish. This stage establishes the foundation for the entire project through comprehensive requirements management. 

Typical activities include: 

Organizations practicing systems engineering often develop requirements hierarchies that connect business objectives to system requirements, subsystem requirements, and component-level specifications. 

This traceability significantly reduces ambiguity during later engineering phases while improving communication between stakeholders. 

Stage 3: Product Planning and Strategy 

Before engineering begins in earnest, organizations must validate that the project is technically, financially, and operationally viable. This planning phase transforms concepts into executable projects. 

Typical deliverables include: 

A comprehensive product development strategy aligns engineering priorities with broader business objectives while establishing measurable milestones throughout the project. 

This is also where organizations define the product development methodology they’ll use, whether that’s Stage-Gate, Agile, Waterfall, or a hybrid approach tailored to the complexity of the product. 

Stage 4: Engineering and Product Design 

With requirements defined and project plans in place, engineering teams begin transforming concepts into detailed product designs. This is often the longest and most collaborative stage of the product development process, involving multiple disciplines working together to ensure the product meets functional, manufacturing, quality, and business objectives. 

Activities during this stage typically include: 

The engineering design process is highly iterative. Early concepts evolve through multiple revisions as engineers validate performance, manufacturability, cost targets, and customer requirements. 

Cross-functional engineering collaboration becomes especially important during this phase. Design decisions made by one team often impact manufacturing, procurement, quality, service, and regulatory compliance. Maintaining a single source of product data helps teams avoid version conflicts and ensures everyone is working from the latest information. 

Many organizations leverage Product Lifecycle Management (PLM) solutions to centralize engineering data, manage revisions, and improve collaboration across distributed teams. 

Stage 5: Prototype and Validation 

Before committing to full-scale production, organizations build prototypes to verify that the product performs as intended. 

Modern prototyping methods (additive manufacturing, CNC machining, virtual simulation) allow engineering teams to identify issues early, when changes are less expensive and easier to implement. 

Prototype validation may include: 

Rather than viewing prototypes as finished products, organizations should treat them as learning tools. Each iteration provides valuable feedback that helps refine the design and reduce uncertainty before production. 

Rapid prototyping technologies have significantly shortened this phase of the new product development process, enabling teams to evaluate multiple design options in days instead of weeks. 

Stage 6: Product Testing and Verification 

Once the design has matured, products undergo rigorous testing to ensure they satisfy all functional, safety, regulatory, and customer requirements. 

Testing activities vary by industry but often include: 

Organizations developing regulated products must also demonstrate complete traceability between requirements, risks, design outputs, and verification activities. This is where strong requirements management practices become invaluable. 

Instead of manually documenting relationships across spreadsheets, leading organizations establish digital traceability throughout development. This enables teams to quickly answer questions such as: 

Maintaining these relationships improves engineering confidence while simplifying audits and regulatory submissions. 

Stage 7: Manufacturing Preparation 

After engineering validation is complete, attention shifts toward preparing the organization for production. Successful manufacturing preparation requires close coordination between engineering, operations, procurement, suppliers, quality, and production teams. 

Typical activities include: 

This phase is often referred to as New Product Introduction (NPI). A well-managed new product introduction process ensures manufacturing teams receive complete, accurate product information before production begins. 

Poor communication during NPI frequently leads to production delays, quality issues, engineering change requests, and increased manufacturing costs. 

Organizations that integrate engineering systems with manufacturing and ERP platforms reduce manual data entry while improving consistency across departments. 

Stage 8: Product Launch and Continuous Improvement 

Product launch marks an important milestone, but it isn’t the end of the product development process. Successful organizations continuously monitor product performance after release, collecting feedback from customers, manufacturing teams, service technicians, and sales organizations. 

Common post-launch activities include: 

Continuous improvement allows organizations to respond quickly to market changes while extending product value throughout its lifecycle. 

A mature engineering change management process helps evaluate improvement opportunities while ensuring updates are properly reviewed, documented, and communicated across the organization. 

See What a Product Development Assessment Looks Like

Understanding the stages of product development is one thing. Knowing where your current process breaks down (and how to prioritize improvements) is another. Explore the roadmap of a successful product development process assessment, from initial discovery through actionable recommendations.

Product Development Methodologies 

While every organization follows similar development stages, the way those stages are managed varies considerably. Selecting the right product development methodology depends on factors such as product complexity, regulatory requirements, organizational culture, and project risk. 

Waterfall 

The Waterfall methodology follows a sequential approach where each phase is completed before the next begins. 

Advantages include: 

Waterfall works well for highly regulated industries where extensive documentation and formal approvals are required. 

However, its structured nature makes adapting to changing requirements more difficult later in the project. 

Stage-Gate 

Stage-Gate builds on the traditional development process by introducing decision points, or “gates,” between major phases. At each gate, stakeholders review project progress before authorizing additional investment. 

Benefits include: 

Many manufacturing organizations combine Stage-Gate with Agile engineering practices to balance governance with flexibility. 

Agile Product Development 

Originally developed for software, Agile principles are increasingly being applied to physical product development. Rather than delivering one final design, Agile emphasizes: 

Agile is particularly effective for software-enabled products where customer needs evolve rapidly. 

Hybrid Development 

Most manufacturers ultimately adopt a hybrid product development framework. 

For example: 

Hybrid approaches allow organizations to maintain governance without sacrificing innovation or responsiveness. 

Product Development Process vs. Product Lifecycle 

Although closely related, the product development process and the product lifecycle represent different concepts. The product development process focuses specifically on creating and launching a product. 

The product lifecycle encompasses everything that happens before, during, and after development, from initial concept through retirement. 

Understanding this distinction helps organizations recognize why Product Lifecycle Management (PLM) systems are so valuable. 

Rather than supporting engineering alone, PLM platforms connect product data across every lifecycle stage, from concept through manufacturing, service, and eventual retirement. 

As products become more complex and software-driven, organizations increasingly rely on digital product data to maintain traceability, manage engineering changes, improve collaboration, and support continuous innovation throughout the entire product lifecycle. 

Common Product Development Challenges 

Even organizations with experienced engineering teams can struggle to consistently deliver products on time and within budget. As products become more complex, the number of stakeholders, systems, and dependencies continues to grow, making a structured product development process more important than ever. 

Here are some of the most common challenges organizations face, and how leading manufacturers address them. 

Poor Communication Between Teams 

Product development requires collaboration across engineering, manufacturing, quality, supply chain, purchasing, service, and executive leadership. When each department works in its own systems, critical information is often delayed or lost. 

Improving engineering collaboration through centralized product data and standardized workflows helps ensure every stakeholder is working from the same information. 

Changing Requirements 

Customer needs, market conditions, and regulatory expectations often evolve during development. Without effective requirements management, teams may struggle to understand how changing requirements impact designs, testing, manufacturing, and compliance. 

Maintaining end-to-end traceability enables organizations to evaluate changes quickly and confidently. 

Engineering Change Management 

Engineering changes are inevitable, but unmanaged changes can create costly downstream problems. Without a formal engineering change management process, organizations risk: 

Structured review and approval workflows help ensure changes are evaluated, documented, and communicated before implementation. 

Siloed Product Data 

Many organizations still rely on disconnected spreadsheets, shared drives, email attachments, and individual desktops to manage product information. This fragmented approach creates version control issues and makes it difficult to locate accurate product data. 

Modern Product Lifecycle Management (PLM) platforms eliminate these silos by providing a single source of truth for product information. 

Balancing Speed and Quality 

Organizations are constantly challenged to accelerate innovation while maintaining product quality. Skipping design reviews, testing, or documentation may shorten schedules temporarily, but it often results in expensive rework later in the project. 

A mature product development workflow balances speed with governance by standardizing critical processes while enabling teams to collaborate efficiently. 

Best Practices for a Successful Product Development Process 

Although every organization develops products differently, the most successful manufacturers share several common practices. 

Establish Clear Requirements Early 

Clearly defining customer, business, regulatory, and technical requirements reduces ambiguity throughout development. Investing time in early planning helps prevent expensive redesigns later. 

Create a Cross-Functional Development Team 

Product development should never occur in isolation. 

Include representatives from: 

Early involvement helps identify downstream issues before they become costly problems. 

Standardize Your Development Framework 

Using a consistent product development framework improves predictability while making it easier to onboard new team members and scale engineering operations. 

Standardized review processes also improve governance and executive visibility. 

Maintain Complete Traceability 

Connecting requirements, designs, risks, tests, engineering changes, and manufacturing information provides a complete digital thread throughout development. 

Traceability not only supports regulatory compliance but also accelerates decision-making when changes occur. 

Embrace Continuous Improvement 

Every completed project provides valuable lessons. Conduct post-launch reviews to identify: 

Organizations that continuously refine their product development strategy become more efficient with every new product. 

Technology That Enables Modern Product Development 

Today’s products are more connected, software-driven, and complex than ever before. Managing that complexity requires more than spreadsheets and disconnected engineering tools. 

Several technologies play a key role in supporting a modern product development process. 

Computer-Aided Design (CAD) 

CAD software enables engineers to create detailed 3D models, simulate performance, and iterate designs more quickly than traditional drafting methods. 

Modern CAD platforms also support collaboration, design reuse, and integration with downstream engineering systems. 

Product Lifecycle Management (PLM) 

PLM serves as the digital backbone of product development. Rather than storing engineering files in multiple locations, PLM centralizes product data while managing: 

By creating a single source of truth, PLM improves engineering collaboration and reduces errors caused by outdated information. 

Application Lifecycle Management (ALM) 

As products become increasingly software-enabled, engineering teams must coordinate mechanical, electrical, and software development. ALM platforms help manage: 

When integrated with PLM, ALM creates a more complete digital thread across hardware and software development. 

Systems Engineering 

Many organizations are adopting systems engineering practices to manage increasingly complex products. 

Systems engineering connects requirements, architecture, design, verification, validation, and risk management across multiple engineering disciplines, improving consistency and reducing development risk. 

Artificial Intelligence 

Artificial intelligence is beginning to transform product development by helping engineers: 

However, AI is only as effective as the quality of the underlying product data. Organizations with standardized processes, strong data governance, and integrated PLM and ALM environments are best positioned to realize the full value of AI-assisted engineering. 

Frequently Asked Questions 

What is the product development process? 

The product development process is the structured sequence of activities used to transform an idea into a market-ready product. It typically includes idea generation, requirements definition, design, prototyping, testing, manufacturing preparation, and product launch. 

What are the stages of product development? 

Most organizations follow eight stages: 

What is the difference between product development and new product development? 

Product development encompasses creating and improving products throughout their lifecycle, while new product development focuses specifically on bringing entirely new products to market. 

What is a product development methodology? 

A product development methodology defines how organizations manage development activities. Common methodologies include Waterfall, Stage-Gate, Agile, Lean, and hybrid approaches. 

Why is requirements management important? 

Requirements management ensures engineering teams clearly understand what the product must accomplish. Maintaining traceability between requirements, design, testing, and validation reduces errors, supports compliance, and simplifies change management. 

How does engineering change management improve product development? 

An effective engineering change management process ensures design changes are reviewed, approved, documented, and communicated before implementation. This reduces manufacturing errors, prevents quality issues, and minimizes costly rework. 

What role does PLM play in product development? 

PLM centralizes product data, manages engineering workflows, supports collaboration, and connects information across the entire product lifecycle. It helps organizations improve visibility, reduce development time, and maintain product quality. 

Bringing It All Together 

The most successful products don’t happen by chance. They’re the result of a disciplined, collaborative, and repeatable product development process. 

From capturing customer requirements to engineering design, validation, manufacturing, and launch, every stage builds on the one before it. Organizations that establish clear workflows, improve engineering collaboration, maintain complete requirements management, and adopt modern digital tools are better equipped to deliver innovative products faster while reducing cost and risk. 

As products continue to grow in complexity, manufacturers that connect people, processes, and product data through technologies like CAD, PLM, ALM, and AI will be best positioned to compete in an increasingly digital marketplace. 

Whether you’re looking to improve your new product development process, strengthen your product development strategy, or modernize engineering operations, investing in the right processes and technologies today will pay dividends across the entire product lifecycle. 

Ready to Modernize Your Product Development Process? 

If your engineering teams are struggling with disconnected systems, inefficient workflows, or limited visibility across the product lifecycle, now is the time to evaluate how your product development environment can better support innovation. 

At EAC, we help manufacturers streamline product development through integrated solutions for CAD, PLM, ALM, systems engineering, digital manufacturing, and AI readiness. Whether you’re optimizing existing processes or building a digital engineering strategy from the ground up, our experts can help you connect people, processes, and product data to accelerate innovation. 

Turn product development challenges into a clear improvement plan. A structured product development process requires more than isolated technology upgrades. Learn how an assessment can uncover process gaps, align teams, prioritize opportunities, and create a practical roadmap for improving how products move from idea to launch.

Manufacturers today operate in increasingly complex environments. Product development involves more tools, more data, more teams, and more customer expectations than ever before. As organizations push to innovate faster while keeping quality high and costs contained, even small inefficiencies in the product development ecosystem can create major bottlenecks.

Many teams know something isn’t working, but they can’t see exactly where the misalignment lives.

That’s where a Product Development System Assessment (PDSA) becomes invaluable. A PDSA is a structured, high-impact evaluation of how your people, processes, systems, and data work together across the entire product lifecycle. It provides clarity about hidden inefficiencies, identifies opportunities for improvement, and delivers a prioritized roadmap aligned with your business strategy.

In this article, we break down what a PDSA includes, why companies need it, and the business value it creates for engineering and manufacturing organizations.

What Is a Product Development System Assessment (PDSA)?

A Product Development System Assessment is a comprehensive analysis of your entire product development ecosystem, from concept to engineering to manufacturing and service. Unlike narrow audits focused on tools or isolated workflows, a PDSA evaluates the full system that supports product development.

This includes:

A PDSA delivers a clear current-state diagnosis and a future-state vision, helping your organization understand not just what is happening, but why, and what steps will unlock measurable improvement.

Why Do Companies Perform a Product Development System Assessment?

Most organizations pursue a PDSA when they’re experiencing friction across their processes but don’t have a reliable way to pinpoint root causes. Common symptoms include:

A PDSA turns scattered issues into a connected story. It creates a fact-based foundation that leaders can use to make smarter decisions about technology investments, process improvements, organizational changes, and digital transformation initiatives.

In short: a PDSA gives you the clarity you need to move from reactive problem-solving to proactive strategic improvement.

When Is the Right Time to Conduct a Product Development System Assessment?

Organizations typically conduct a PDSA when:

A PDSA is an ideal starting point when leadership knows improvement is needed but lacks an objective, end-to-end view of where to begin.

What Business Challenges Does a Product Development System Assessment Address?

A PDSA tackles the systemic challenges that impact product development performance. Key issues it uncovers include:

Disconnected or poorly integrated systems: When CAD, PLM, ERP, and other tools don’t work together, teams resort to manual workarounds that slow everything down.

Version control and data consistency problems: Different versions of product data across departments lead to errors, rework, and delays.

Inefficient or unclear processes: Non-standardized workflows or unclear ownership create bottlenecks and confusion.

Limited cross-functional visibility: Teams struggle to understand how upstream or downstream processes affect their work.

Underutilized technology investments: Organizations often own advanced tools but haven’t configured, integrated, or adopted them fully.

By revealing these issues, a PDSA provides the insight needed to streamline workflows, reduce risk, and improve product development outcomes.

What Does a Product Development System Assessment Cover?

A PDSA evaluates four core dimensions of your product development ecosystem:

1. Processes: How work flows from concept to design to production, including: approvals, handoffs, and change management.

2. People: How cross-functional teams collaborate, communicate, and use the tools available to them.

3. Systems: How technologies (PLM, CAD, ALM, ERP, IoT) interact and support your product lifecycle.

4. Data: How information is created, stored, shared, and maintained across teams and systems.

This holistic approach reveals the true health of your product development environment and identifies where improvements will have the highest impact.

Can the Assessment Focus on Specific Areas?

Yes. While a full PDSA is end-to-end, it can also target individual functional areas or processes if needed.

Common focus areas include:

This flexibility allows organizations to use a PDSA where it will deliver the most immediate value.

What Is the Process for Conducting a Product Development System Assessment?

A typical PDSA follows a structured, collaborative process:

1. Discovery & Alignment: Define objectives, scope, and success metrics with leadership and stakeholders.

2. Data Collection & Interviews: Evaluate workflows, tools, organizational structures, and performance insights through documentation, system review, and stakeholder interviews.

3. Analysis: Identify gaps, redundancies, bottlenecks, and maturity levels across processes, teams, and systems.

4. Future-State Visioning: Develop a clear picture of what an optimized, connected product development ecosystem should look like for your organization.

5. Prioritized Roadmap: Deliver a step-by-step action plan with recommended initiatives, ROI-focused priorities, and realistic timelines.

This process creates clarity without disrupting daily operations.

What Deliverables Will You Receive?

At the conclusion of a PDSA, organizations receive a clear, actionable set of deliverables, including:

These deliverables become the blueprint for technology selection, system upgrades, workflow redesign, and digital transformation initiatives.

Is a Product Development System Assessment a Standalone Service?

Yes. A PDSA delivers immediate, standalone value and does not require additional services. You can use the findings internally or choose to work with EAC Product Development Solutions to implement the roadmap.

Many organizations begin with a PDSA to de-risk future transformation investments and ensure they are prioritizing the right initiatives.

Why a PDSA Matters

A Product Development System Assessment gives manufacturers the deep visibility they need to make better decisions. It transforms scattered frustrations into a cohesive story about how your organization works, and where it can work better.

In a world where innovation speed and product quality define competitive advantage, understanding the health of your product development ecosystem is essential. A PDSA helps you reduce friction, increase clarity, and build a connected, intelligent product lifecycle across engineering, manufacturing, and service.

Ready to discover how efficient your product development system could be? Learn how leading manufacturers reduce friction and accelerate innovation in our guide.

Manufacturers and engineering organizations know inefficiency hides in plain sight. Data silos, manual workflows, disconnected systems, and inconsistent handoffs often create friction across the product development lifecycle, but identifying exactly where those breakdowns occur can be difficult without a holistic, end-to-end view.

A Product Development System Assessment (PDSA) provides that clarity. Unlike narrow, department-level diagnostics, a PDSA evaluates your complete product development ecosystem (people, processes, systems, and data) to uncover root causes of inefficiency and define a clear roadmap for improvement.

But not all assessments, or providers, deliver the same level of insight, objectivity, or actionable recommendations. Choosing the right partner is essential to ensure your organization gets the strategic foundation it needs to elevate performance, strengthen cross-functional alignment, and accelerate digital transformation.

In this guide, we explore the value a full Product Development System Assessment provides, what to look for in a PDSA provider, and how to ensure you select a partner who can deliver meaningful, measurable results.

Business Value Questions

What value and benefits can companies expect from a Product Development System Assessment?

A PDSA offers deep visibility into how your entire product development ecosystem functions today, and where it’s falling short. Organizations gain a comprehensive, objective understanding of how engineering, manufacturing, quality, service, IT, and leadership interact (or fail to).

Key benefits include:

The greatest value lies in the assessment’s holistic nature. Instead of focusing on a single area, a PDSA connects all the pieces. This helps leaders see the “big picture” and make smarter, more strategic decisions that drive enterprise-wide results.

How does a PDSA help companies prioritize initiatives and accelerate improvement?

By capturing an end-to-end view of your product development system, the PDSA helps organizations identify high-impact opportunities and sequence them for maximum ROI. The output is not just a list of issues, it’s a structured improvement strategy.

A strong PDSA provider uses proven frameworks, industry benchmarks, and domain expertise to help organizations:

This ensures leadership is not guessing about where to start or what to prioritize. Instead, decisions are grounded in data, risk impact, and enterprise value.

What risks can be avoided by performing a PDSA before major projects?

Launching optimization efforts without an accurate baseline often leads to:

A PDSA mitigates these risks by ensuring every improvement effort is grounded in reality. It helps organizations avoid “band-aid fixes” and instead build a strong foundation for long-term scalability and performance.

How do PDSA results support leadership decision-making and investment planning?

The assessment creates a fact-based, data-backed understanding of current performance, including:

This detailed view equips leadership with:

Executives can move forward confidently knowing decisions are grounded in objective analysis, not assumptions or incomplete information.

Fit, Readiness, and Consideration Questions

Is my company ready for a Product Development System Assessment?

Most organizations struggling with collaboration, system performance, or process inefficiencies are ready for a PDSA. Strong candidates typically:

The main requirement is willingness to participate in transparent discovery sessions. A skilled provider ensures this process is efficient and minimally disruptive.

If we already completed an assessment in the past, is a PDSA still valuable?

Absolutely. Product development systems evolve quickly. New software, organizational changes, or shifting priorities often create new inefficiencies.

A PDSA acts as a recalibration, validating past progress while uncovering new opportunities. Many organizations use periodic assessments to drive continuous improvement and stay aligned with digital transformation goals.

What are the limitations of a PDSA compared to a more targeted functional assessment?

A PDSA is broad by design. While it evaluates the entire ecosystem, it is not intended to be a deep-dive audit of every individual workflow or system configuration.

However, a holistic PDSA is often the necessary starting point. It reveals where deeper functional analysis is warranted, whether in CAD operations, PLM configuration, manufacturing workflows, or data governance.

How do you choose between a full PDSA and a smaller functional assessment?

Choosing between a full Product Development System Assessment (PDSA) and a functional assessment depends on how clearly you understand the challenges within your organization. If issues span multiple teams (engineering delays, manufacturing rework, inconsistent data, system integration gaps) a full PDSA is the better fit. It provides a holistic view of your product development ecosystem and helps uncover root causes that may not be visible when looking at a single department or system.

A functional assessment is ideal when the pain point is clearly isolated, such as CAD standards, PLM configuration, change management workflows, or manufacturing processes. These assessments go deeper into a specific area to provide tactical, targeted recommendations.

Many organizations start with a PDSA to identify enterprise-wide priorities, then follow up with functional assessments to address the highest-impact opportunities in greater detail.

Industry Use Cases and Scale Questions

Which organizations benefit most from a PDSA?

Organizations that develop complex products, operate in regulated environments, or manage multi-disciplinary engineering teams benefit the most from a PDSA. This includes industries such as aerospace, medical devices, industrial equipment, automotive, electronics, defense, and energy. These are industries where engineering decisions directly impact compliance, cost, quality, and time-to-market.

However, the value isn’t limited to large enterprises. Mid-market manufacturers often see some of the fastest ROI because they typically operate with lean teams who juggle multiple roles across engineering, operations, and IT. When processes are informal or legacy tools haven’t scaled with business growth, even small inefficiencies create significant delays or rework.

Ultimately, any organization seeking clearer visibility, stronger collaboration, and a more connected digital thread is an ideal candidate for a PDSA.

Can the assessment be applied at the product-line or business-unit level?

Yes. A PDSA is fully scalable and can target a single product line, a dedicated engineering group, a manufacturing cell, or a full enterprise deployment.

Starting with a narrower scope is often strategic, especially for organizations early in digital transformation or those with limited bandwidth. Assessing a pilot group or high-impact product portfolio allows you to validate improvements, quantify value, and build momentum before expanding the assessment enterprise-wide.

This modular approach helps teams focus on the areas that will deliver the biggest and fastest wins, while still aligning with long-term transformation goals.

How does the approach scale across digital maturity levels?

A PDSA adapts to organizations across all maturity levels, from companies with manual, paper-based workflows to highly digital organizations already using advanced PLM, CAD, ALM, or manufacturing systems.

Because the PDSA framework is maturity-agnostic, it meets organizations where they are and helps them grow systematically.

Implementation Process and Logistics Questions

What is involved in coordinating and executing a PDSA?

A Product Development System Assessment is designed to be thorough, structured, and minimally disruptive. The provider handles the heavy lifting while your team participates through targeted interviews and information-sharing sessions.

A typical implementation includes:

The process is designed so leadership stays informed, stakeholders feel heard, and insights emerge organically, not through guesswork.

How long does a PDSA take?

Most assessments take 6–10 weeks, depending on organizational complexity, system landscape, and scope. Shorter assessments (4–6 weeks) are possible for smaller organizations or limited product-line evaluations, while global enterprises or companies with highly regulated processes may require deeper discovery.

The timeline ensures a balance between speed and depth, fast enough to maintain momentum, but comprehensive enough to deliver high-confidence insights.

What internal commitment is required?

Internal time commitments are manageable and structured to minimize disruption:

The provider leads the process, guides stakeholders through each step, and ensures the assessment produces accurate, actionable results without overburdening your teams.

What happens after the assessment?

After the assessment is completed, you receive a packaged set of deliverables—usually including a current-state summary, maturity model, future-state vision, and a prioritized roadmap.

Teams are then equipped to:

Some organizations execute improvements internally, while others choose to partner with EAC or bring in additional support.

Post-Assessment and Action Questions

How do organizations turn PDSA findings into real improvements?

Turning insights into outcomes requires structured execution.
Most organizations begin by identifying quick wins, high-value projects, and foundational initiatives. These often include:

The roadmap ensures each initiative is sequenced logically, with clear owners and measurable goals. Regular progress reviews and change management support keep the plan on track.

What ensures the roadmap is executed effectively?

Success depends on a combination of:

Organizations that combine leadership alignment, strong governance, and expert guidance achieve the fastest and most sustainable improvements.

How often should a PDSA be repeated?

Most organizations repeat a Product Development System Assessment every 18–36 months.

This cadence allows teams to:

A recurring PDSA becomes a cornerstone of continuous improvement—ensuring your systems, processes, and teams evolve with your business.

Choosing the Right Partner

Selecting the right provider for your Product Development System Assessment is about more than technical expertise. It’s about finding a strategic partner who understands the complexities of modern product development and can deliver insights that drive meaningful change.

EAC Product Development Solutions brings over 25 years of experience helping manufacturers align systems, processes, data, and teams to improve performance and accelerate digital transformation.

Whether your goal is to optimize your engineering workflows, modernize your PLM, or build a more connected digital thread, a PDSA provides the clarity and direction needed to move forward with confidence.

So what does a successful assessment look like? This asset, The Road Map of a Successful Product Development Process Assessment, shows not only the outcome but the steps taken to achieve it.

THE PEOPLE WHO POWER DIGITAL TRANSFORMATION AT LIVEWORX 2023

Minneapolis, MN, U.S.A – 2023 EAC Product Development Solutions, an award-winning PTC Solutions Partner and Global Services Provider, returns to Boston May 15-18 for LiveWorx 2023 with seven presentations covering today’s most impactful solutions in the manufacturing space.

EAC partners with companies to help them navigate their digital transformation journey by providing extensive capabilities that span the entirety of the manufacturing process, including solutions such as Computer-Aided Design (CAD), Simulation, Additive Manufacturing, Product Lifecycle Management (PLM), the Industrial Internet of Things (IIoT), Augmented Reality (AR) and more.

“We are excited to be a part of LiveWorx 2023 and to have the opportunity to showcase our latest technology solutions,” said EAC’s Chris Woerther, VP of Business Development. Our team of experts is looking forward to connecting with attendees and sharing how our solutions can help businesses succeed in the digital age.

LiveWorx 2023, the world’s premier digital transformation conference, brings together innovators, forward-thinkers, and experts to explore the latest technologies in digital transformation. EAC provides the essential services, support, and strategic expertise that manufacturing companies need to extract the maximum value from technology investments.

As such, EAC has been selected to present seven sessions at LiveWorx 2023:

[AR1088B] – Creo Illustrate for AR Developers

Monday, May 15 2:15 PM – 2:45 PM EDT | Breakout Session 102 B

Clay Helberg, EAC Solution Architect, will provide insights into Creo Illustrate, a powerful tool for creating engaging augmented reality (AR) content, and the key insights you should know to get the best use for authoring.

[PL1842B] – Minimum Windchill Implementation to Achieve Significant ROI

Monday, May 15 3:10 PM – 3:40 PM EDT | Breakout Session 105

During this session, Chris Woerther, EAC Vice President of Business Development, will present how to achieve strong ROI by expanding Windchill usage to other departments and the shop floor to share product data and create a closed-loop change process with minimum implementation. 

[AR18431] – AR and Expert Capture – How Easy it Can Really Be to Get Strong ROI

Tuesday, May 16 8:15 AM – 8:30 AM EDT | IgniteTalX Stage 1

Todd Liebenow, EAC Senior Application Engineer, will discuss the significance of Augmented Reality in capturing, standardizing, and sharing workforce knowledge, including how it improves efficiency and speeds up onboarding and training for new employees. 

[CA1179B] – Why Model-Based Definition?

Tuesday, May 16 2:50 PM – 3:20 PM EDT | Breakout Session 205 A 

During this presentation, Stephen Pralle, EAC Application Engineer, will explain what model-based definition is, why it is beneficial, and how to implement this strategy into the product development process. 

[PL18451] – Assessing Your Business Practices to Find Optimization Opportunities

Wednesday, May 17 8:15AM – 8:30AM EDT | IgniteTalX Stage 2

Scott Dufresne, EAC Business Development Manager, will discuss the significant business benefits assessments achieve and how they identify areas of improvement in design, management, operations, and service sectors. 

[CA11801] – Rapids Prototyping Made Simple with Creo Additive Manufacturing

Wednesday, May 17 2:45 PM – 3:00 PM EDT | IgniteTalX Silent Stage 

Stephen Pralle, EAC Applications Engineer, will present the power of Creo and Additive Manufacturing together for earlier design success that enables faster time-to-market. 

[CA1181I] – Simulation-Driven Design with Creo Simulation Live

Thursday, May 18 10:15 AM – 10:30 AM EDT | IgniteTalX Silent Stage 

Stephen Pralle, EAC Application Engineer, will showcase the powerful capabilities of PTC’s Creo Simulation Live (CSL) to easily leverage simulation earlier in the design process with real-time feedback to save time and boost innovation. 

Attendees will have the chance to speak with EAC industry experts and leaders to explore the best-fit solutions to drive business growth and achieve their strategic goals. 

Check out our Digital Transformation blog featured on the PTC LiveWorx page:

EAC will be available throughout the conference at Booth No. 700. 

Liveworx is happening at the Boston Convention and Exhibition Center on May 15-18, 2023. To plan your agenda and attend EAC’s live sessions, visit www.liveworx.com. 

For more information about EAC Product Development Solutions, visit www.eacpds.com. 

Media Contacts

PTC Senior Director, Global Corporate Communications 

Greg Payne – gpayne@ptc.com