Engineering Shouldn’t Feel This Difficult

The engineering skills shortage has become one of the defining challenges facing UK industry. According to the Institution of Engineering and Technology (IET), 76% of engineering employers report difficulties recruiting for key roles, while concerns around workforce succession continue to grow as many organisations prepare for an ageing engineering workforce.

For many organisations, the immediate impact is straightforward: vacancies remain open for longer, experienced engineers take on additional responsibilities, and project capacity becomes increasingly difficult to predict. The longer-term impact is less visible. Engineering leaders are having to think more carefully about retaining knowledge, integrating new employees into existing projects, and maintaining productivity as demands increase.

Engineering Capacity Is Becoming Harder to Scale

Over the past decade, many engineering businesses have expanded organically, entered new markets, or acquired additional capabilities through mergers and acquisitions. In some cases, engineering teams that once consisted of a handful of designers have grown into larger departments operating across multiple disciplines, locations, or product lines.

Growth often exposes weaknesses that previously went unnoticed. Processes that worked when everyone sat in the same office become harder to manage when teams are spread across multiple sites. Design knowledge that was once shared informally becomes more difficult to maintain as new engineers join the business and experienced employees take on broader responsibilities.

A manufacturer operating from a single location may rely on conversations across the workshop floor to resolve design questions. Once the same organisation has teams distributed across different facilities, those informal exchanges become more difficult to sustain. Information that was previously passed between colleagues can become dependent on individuals, documents, or systems.

This pattern is common across growing engineering businesses. The challenge is that it now sits alongside an increasingly constrained labour market. Recent industry research highlights the growing impact of skills shortages on productivity and growth across UK engineering and manufacturing businesses.

Small Inefficiencies Have a Large Impact

The effectiveness of an engineering team is rarely determined by one major issue. More often, performance is influenced by smaller inefficiencies that develop gradually over time.

Research into knowledge work suggests employees spend a significant portion of their working day searching for information and gathering context before they can begin productive work. McKinsey estimated that knowledge workers spend around 1.8 hours per day searching for and gathering information, while subsequent studies have reached similar conclusions.

Within engineering environments, this may involve locating historical project information, understanding why a design decision was made several years earlier, identifying the latest revision of a model, or finding someone with the relevant experience to answer a technical question.

Consider a design team that has doubled in size over five years. New recruits may bring valuable skills and fresh perspectives, but they still need to understand existing products, internal standards, and established ways of working. During that period, experienced engineers often become the primary source of guidance. As the organisation grows, the demands placed on those individuals increase.

Knowledge gradually becomes concentrated in a relatively small number of people. Valuable engineering time is then spent answering routine questions, helping colleagues locate information and providing context that is not captured elsewhere. These activities are important, but they reduce the time available for project work and product development.

Why Companies Review CAD Systems

Operational challenges such as lengthy onboarding, difficulties locating engineering information, inconsistent design practices and an increasing dependence on a small number of experienced employees are common reasons organisations review their engineering systems and CAD platforms.

A design manager may become aware that onboarding periods are extending. A growing business may find that information takes longer to locate than it once did. Teams working on similar products may gradually develop different methods, templates, or processes over time.

These situations naturally draw attention towards the engineering environment itself.

CAD platforms sit at the centre of many engineering workflows. They influence how design information is created, stored, and reused. They affect how easily work can be transferred between engineers and how effectively knowledge can be retained as teams evolve.

For organisations operating across multiple sites, consistency often becomes an important consideration. Following an acquisition, engineering teams may find themselves using different processes or software platforms. Bringing those teams together frequently requires a wider review of engineering systems rather than a narrow discussion about software functionality.

Engineering organisations often reassess their systems during periods of change. Expansion into new markets may expose weaknesses in existing processes. Growth can place pressure on information management. More complex projects frequently create new requirements around collaboration and consistency.

Why CAD Platforms Matter

Many of the challenges discussed so far ultimately intersect with one critical part of the engineering environment: the CAD platform.

For most engineering organisations, CAD software is not simply a design tool. It sits at the centre of product development activity and influences how engineering information is created, stored, and shared across the business.

As teams grow, CAD platforms often become closely linked to onboarding. New engineers need to understand existing models, established design practices and historical project information before they can contribute effectively. The easier that knowledge is to access, the faster new team members can become productive.

CAD systems also influence consistency. Organisations operating across multiple locations often need common standards, shared processes, and a reliable method of managing engineering information. As products become more complex and teams become more distributed, maintaining that consistency becomes increasingly important.

The same applies to collaboration. Design activity rarely exists in isolation. Engineering teams interact with manufacturing functions, procurement teams, and project stakeholders. The systems supporting product development can have a significant influence on how effectively information moves between those groups.

This is one reason reviews of engineering environments frequently extend beyond individual software features. Organisations are often assessing how effectively their systems support the wider business and whether existing platforms remain aligned with current operational requirements.

How Organisations Respond

Many organisations are investing in apprenticeship programmes and workforce development initiatives. Others are placing greater emphasis on documenting engineering knowledge that has traditionally been shared informally. Some are reviewing how design information is managed in an effort to reduce time spent searching for project data.

These initiatives often reveal opportunities to improve the way engineering teams operate. In some businesses, this leads to process changes. In others, the focus is on creating greater consistency between offices, departments, or project teams.

In some cases, organisations begin evaluating whether process improvements alone are sufficient, or whether a broader review of engineering systems, including CAD migration, may be required. These reviews are typically driven by operational requirements rather than software features alone.

There are also situations where organisations decide to reassess the software platforms underpinning product development because of the influence those systems have on information flow and day-to-day engineering activity.

The underlying goal remains the same: improving the effectiveness of existing engineering resource at a time when additional resource is difficult to secure.

Looking Beyond Recruitment

The engineering skills shortage is unlikely to disappear quickly. Recruitment challenges remain widespread, workforce demographics continue to concern employers and manufacturers face ongoing pressure to increase output without increasing headcount at the same rate.

As a result, more attention is being given to the practical realities of engineering work. Engineering leaders are increasingly focused on retaining knowledge, integrating new hires effectively and ensuring processes continue to work as organisations grow. These operational considerations are becoming more important as businesses look for ways to increase engineering capacity without proportionally increasing headcount.

Many of those discussions begin with day-to-day challenges. Over time, they can develop into a broader assessment of whether existing systems continue to support the organisation as effectively as they once did.

For engineering businesses planning their next phase of growth, that review can provide valuable insight into where future capacity will come from.

Key Takeaways

• 76% of UK engineering employers report difficulties recruiting for key roles.
• Engineering capacity is becoming increasingly valuable as skills shortages continue to affect UK industry.
• Productivity is strongly influenced by how easily engineers can access information and share knowledge.
• Growing engineering organisations often encounter challenges around onboarding, consistency, and knowledge retention.
• CAD platforms play an important role in engineering workflows, collaboration, and information management.
• Organisations often review CAD systems when growth, onboarding challenges or operational complexity begin to affect engineering productivity.