Why So Many Design Reviews Fail Before They Start

Design reviews can accomplish several things at once. They align an engineering team around product decisions, pull in cross-functional expertise, and check a design against requirements, standards, and guidelines. Perhaps most importantly, they give teams a chance to catch expensive problems while the product is still early enough in development to change.

But a review can only do that when the right people are working from the same context.

That shared context is exactly what tends to be missing, and it’s been that way for decades. Too often, the time set aside for a formal design review is spent reconstructing the design's history  rather than judging the design itself. The latest geometry is on the screen, but the reasoning is somewhere else — maybe lost in an email thread, an outdated supplier PDF, buried in a Teams channel, spreadsheets, or ECO records that show what changed about a design, but give no clues as to why.

As products get more complex and teams expand across functions, suppliers, geographies, and time zones, this problem gets harder to manage with static review materials and traditional ways of working.

Here at CoLab, we know there’s a better way forward. But before we talk about what an effective design review looks like, it’s worth looking at why so many reviews fail before they even get off the ground.

Why do design reviews fail before they start?

Design reviews often fail because teams enter the meeting without shared engineering context. The latest CAD model may be available, but the decisions, tradeoffs, supplier feedback, unresolved issues, and rationale behind the design are scattered across disparate tools and platforms. As a result, the review stops being about making decisions and starts with reconstructing what happened.

That’s when the familiar questions begin: “Did you see my email with the new revision?” “Which version is this?” “Wasn’t that issue already resolved?” “Why did we change this in the first place?”

By the time the team has pieced together enough context to have the real conversation, much of the review’s value has already been lost.

To keep up with the increasing speed of innovation, teams are making decisions faster than ever across PLM, email, Teams, PowerPoint, CAD exports, spreadsheets, and sometimes even conversations with colleagues who have since retired. Each tool may capture part of the work, but none of them reliably preserves the full “why” behind the dozens of changes that happen between phase gates. Piecing that history together before a review is a monumental task, and even strong teams struggle to do it consistently.

That fragmented space is the messy middle of engineering work. It’s where decisions are made, challenged, revised, and explained, but it’s also where the quality of a design review, and the product itself, may suffer.

Some reviewers may have access to the CAD tool but not the PLM. Others may have access to neither. Suppliers may be working from exported files alone. Meanwhile, the manufacturing team may be looking at V2 instead of V3. And the moment the model changes again, the deck everyone prepared from is already stale.

So now the review starts with everyone simply trying to get on the same page. The team can see the latest iteration, but not the tradeoffs that shaped it. Worse, some of the issues raised at the last design review are still present in the geometry. Suddenly, instead of discussing ideas and making decisions, the team is stuck wondering how to get back on schedule.

What can make all this worse is that product cost is often committed long before it’s spent. As each stage of NPD is passed, the cost of late-stage issues, scrap, and rework increases at dramatic rates. It’s not that the feedback isn’t worthwhile; it’s that it arrives too late to act on without an expensive change. In the worst cases, the issue does not surface until the product is already in customers’ hands, where a design miss becomes a recall, a warranty problem, or a hit to trust that no engineering team wants to explain after launch.

When should design review actually happen?

Design review should happen continuously throughout the design’s development, with formal stage gates reserved for locking in critical decisions. 

We now live in a world where design reviews can be run earlier, more often, and with the right people in the room. Teams no longer have to herd cats to stand up formal reviews that might be few and far between. Reviews can run continuously and asynchronously as the design develops, with manufacturing, quality, and suppliers weighing in throughout, and routine errors cleared out automatically so experts can focus their attention and judgment where it is most needed. The formal stages and gates remain, but the designs passing through them are far more thoroughly vetted, which sharply reduces the number of late-stage changes.

The formal stages and gates remain, but fewer issues are being discovered for the first time when the cost of acting on them is highest.

Why AI makes design review more important, not less

Here’s the thing. By now, engineers know they should run design reviews earlier in NPD, and they know they need to better align experts and context to make them more effective. As well, most organizations already have the engineering knowledge they need to accomplish this, but it hasn’t been captured or systematized. Instead it lives inside that “messy middle” and that’s what makes the situation so frustrating.

The instinct in 2026 is to point an AI agent at design review and be done. But adding AI to a broken process only scales greater chaos, with more of the same issues slipping through the cracks.

At CoLab, we believe the role of AI is to empower engineers to do more, not take them out of the design cycle altogether. Even as agentic CAD lets teams create designs faster, the need for effective design reviews will only increase. When engineers cut corners, it's not because they want to, but because the right context sits out of reach in the time they have. CoLab pins that context to the geometry, so every time a stakeholder encounters a design, they are always on the same page as their colleagues.

How CoLab makes continuous design review more effective

CoLab was built to enable greater collaboration between stakeholders, with everyone reviewing designs in a shared workspace that integrates with CAD tools on one side and PLM platforms on the other.

Rather than export screenshots into a deck, a team can now share a model or drawing with a secure browser link. This way, the manufacturing, quality, and supplier experts can open it on their own schedule and leave feedback pinned to a specific feature of the geometry. The pre-read grind disappears because the model or drawing itself becomes the shared review surface. Comments, decisions, supplier concerns, and resolved issues stay tied to the model or drawing, so future reviewers can see the rationale behind past calls instead of starting from zero. PLM maintains the record of what changed, while CoLab maintains the record of why.

With easier collaboration and more expert knowledge in place, AI has something solid to work on. Before a formal review, an engineer can run CoLab's AutoReview to perform a first-pass check, applying the team's own standards and surfacing lessons learned from previous programs. When the engineer reviews the results, they can address any routine checks handled before experts spend time on the design, so senior reviewers can focus on judgment calls instead of preventable cleanup.

Why better design reviews create a competitive advantage

Every so often, a company resets what the rest of an industry considers normal. When Tesla compressed the time it took to develop a vehicle, six year programs became unacceptable, and competitors who had been comfortable for decades were suddenly scrambling to answer the question of “How do we go faster without cutting corners?” That question is now on the minds of engineers in every manufacturing category, and the answer increasingly comes down to how quickly a team can make good decisions.

AI is about to raise the stakes on that question enormously. As these tools start generating geometry, documentation, and analysis at a pace no team could match by hand, the slow, expensive part of engineering stops being the creation of a design and becomes the judgment of one. Producing twenty concepts where there used to be two does little for a team that cannot evaluate twenty concepts with confidence. The advantage is shifting to whoever can take a design, gather together the right institutional context, internal experts, and AI agents, and make informed decisions faster and more reliably than anyone else.

This is the true opportunity hiding inside a problem that most teams have tolerated for years. The expertise to make better decisions exists in the heads of your most talented engineers. The standards, the lessons learned, all of it is there. Up to now, it’s simply been snarled in a rat’s nest of tools and applications, too scattered and siloed to bring to bear when a decision is on the table. But when a team can untangle that knowledge and apply it to their latest design, in a place where every stakeholder can easily review it, this doesn’t just result in easier meetings. A team can compound its knowledge and efforts with each program it ships, turning the speed of its collective decision-making into a lead that competitors cannot easily close.

If your best reviewers keep walking in cold to every design review, the answer is not a snazzier pre-read. It's to find a new way of working: a shared space, sitting between your CAD and PLM tools rather than replacing them, where asynchronous collaboration is easy, every decision is captured against the design, and intent stays with the geometry. 

When design reviews stop becoming such a hassle, engineers can treat them as what they really are: an opportunity to build the next great product instead of paying twice for lessons you already learned last time.

Want to see what a better design review looks like? Book a demo with a CoLab engineer and see how a single shared review surface pulls your team’s context out of the messy middle and enables better, faster decision-making.

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